DSPSmidterm2023_solution.ipynb

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        "<a href=\"https://colab.research.google.com/github/fedhere/DSPS_FBianco/blob/main/DSPSmidterm2023_solution.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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        "id": "JBT9-Oz6Y2kk"
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      "source": [
        "# READ THESE INSTRUCTIONS CAREFULLY AND IN FULL BEFORE YOU PROCEED TO WORK!\n",
        "\n",
        "### CONTEXT :  Investigation of the nature of stellar explosions\n",
        "\n",
        "10 stars explode every second in the sky, most of them unseen as they are too far for their light to reach us. When they do, we can measure the property of the explosion and we find that there is a diversity of properties. Through the study of their spectra, we can measure the chemical composition of the progenitor star and the energy released in the explosion. We will focus here on 3 types of stellar explosions, or Supernovae (shortened to SN, for the singular, SNe for the plural). SNe Ic, SNe Ic-BL (which stands for \"broad-lined\", describing the broad quality of their spectral features), and SNe Ic-BL accompanied by a Gamma Ray Burst (GRB) which is an emission at higher electromagnetic frequencies (gamma rays). The details of this taxonomy are not important at this point (you can read about them [here](https://ned.ipac.caltech.edu/level5/March03/Filippenko/frames.html) if you wish), but suffice to say that these explosions have increasing energy release Ic < Ic-BL < Ic-BLGRB.\n",
        "\n",
        "We do not know why the energy released is different in spite of similar observed chemical properties. In a recent paper, we asked if the *environment* in which they explode is the same: the environment from an astrophysical perspective means the chemical environment of the region of the Galaxy where the explosion happens, which we measure relative to the chemical environment near our Sun: the *Metallicity*.\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "In the files below, we report the metallicity measured in several ways for the environment of several stellar explosions.\n",
        "\n",
        "The specific forumlae used to measure metallicity are called \"metalicity scales\" and the ones used in the dataset are:\n",
        "\n",
        "`D31, KD02comb, PP04, M08, Emv, M13`\n",
        "\n",
        "***Focusing on the metallicity measured as \"KD02comb\" find a statistical answer to the question: do the three kinds of explosions, SN Ic, SN Ic-BL, SN Ic-BLGRB, come from the same distribution of chemical properties?***\n",
        "\n",
        "\n",
        "Note: \"KD02comb\" stands for [Kewely and Dopite 2012](https://www2.scopus.com/record/display.uri?eid=2-s2.0-0013467486&origin=inward&txGid=fcab97eb7a9f1602e0512094f61c91ed), combined scale"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "PtBMuQJyY2km"
      },
      "source": [
        "# Objective: assessing differences in the chemical environment of stellar explosion"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "vxRZ9mEnY2kn"
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      "source": [
        "PLEASE SEE THE HINTS TO EACH TASK [here](https://docs.google.com/document/d/1V9PVb6tK0yuCSTyCILkKXZD9--5PVIvhKDPZIiREdtQ/edit?usp=sharing) (no points loss for hints!)\n",
        "\n",
        "You will receive points for each of the marked deliverables, *and for your discussion of your findings*.\n",
        "\n",
        "## 1-6 are the data wrangling portion of the exercise, and are worth up to 60% of the points\n",
        "*In the data wrangling portion points are awarded for data processed so that they support the analysis in parts 7-11. This portion is likely going to be the most time consuming.*\n",
        "\n",
        "## 7-11 are the analysis portion of the exercise (including exploratory and visual analysis), and are worth up to 50% of the points\n",
        "*In the data analysis portion points are awarded for correct analysis, conclusions supported by the analysis* ***and expressed in full sentences***, *and plots that support the analysis and conclusions.*\n",
        "\n",
        "*That sums up to 110%, but the maximum grade is reached at 100%. This means you have a better chance to get 100% on your test, and if you exceed 100% the rest will be accounted for as extra credit and help your cumulative score at the end of the semester.*\n",
        "\n",
        "## Data Wrangling (each task is 10% of the points)\n",
        "    1. Read in the data for SN metallicity\n",
        "\n",
        "    2. Read in the GRB metallicity file\n",
        "    \n",
        "    3. Read in the classification of Ic and Ic-BL explosions\n",
        "    \n",
        "    4. Merge the metallicity and classification files for SNe\n",
        "    \n",
        "    5. Separate the samples of SN Ic and SN IcBL\n",
        "    \n",
        "    6. Create a second \"abridged\" GRB sample by removing uncertain classifications\n",
        "\n",
        "\n",
        "## Analysis (visual and quantitative)\n",
        "\n",
        "    7. Plot the distribution of metallicities (KD02comb) for each of the (4) samples\n",
        "    \n",
        "    8. Calculate the central tendency of the metallicity for each of the samples and its uncertainty. Discuss if the means are statistically different based on their uncertainties (feel free to add plots, and chose your preferred way to measure the central tendency and spread)\n",
        "    \n",
        "    9. Compare the distribution of Ic with that of IcBL. You want to determine if they are the same (or more exactly \"extracted from the same population)\n",
        "   \n",
        "    10. Compare the distribution of SNe Ic with that of GRBs and that of SNe IcBL with GRBs using, in both cases, the full GRB sample\n",
        "    \n",
        "    11. Repeat the comparison of SNe IcBL with GRBs using now the abridged GRB sample\n",
        "    \n",
        "**Extra Credit**. The metallicity measurements include uncertainties which are asymmetric. Do you think these are included in the analysis I outlined above? if not, how would you incorporate these uncertainty in your analysis? (Describe what you would do and, of course, if you have time include this step in the analysis.)\"\n",
        "\n",
        "    \n",
        "     \n",
        "\n"
      ]
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      "cell_type": "markdown",
      "metadata": {
        "id": "QDqhIDBdYNeR"
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      "source": [
        "### DATA WRANGLING"
      ]
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        "id": "unglofA7Y2kn"
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      "source": [
        "# 1 Read in the SN metallicity file\n",
        "\n",
        "You can find the data in the github repository\n",
        "\n",
        "https://github.com/fedhere/scratch\n",
        "\n",
        "Clean your dataset removing all the columns you will not need in the analysis and all invalid values in the resulting dataframe\n",
        "_the deliverable in this step is a table showing the first 7 rows of the dataframe_\n",
        "\n",
        "\n",
        "[hints](https://docs.google.com/document/d/1V9PVb6tK0yuCSTyCILkKXZD9--5PVIvhKDPZIiREdtQ/edit#heading=h.wqv9503ir8mr)\n",
        "\n",
        "You can find the solution at this URL: https://github.com/fedhere/scratch/blob/main/data/SNmetallicity_final.csv  - if you use this solution you will not get the 10 points for this deliverable (but you can take the shortcut now and go back later to this! and if you do get the solution later you will get the points!)\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-10-08T07:41:00.302204Z",
          "start_time": "2019-10-08T07:40:59.228474Z"
        },
        "id": "_dj0wK1AY2ko",
        "outputId": "534f5d7d-329f-4f16-e253-59853e8dde4c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
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      "source": [
        "#delete\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "%pylab inline\n",
        "url = 'https://raw.githubusercontent.com/fedhere/scratch/main/data/sne_metallicities.tsv'\n",
        "#url += 'midterm/sne_metallicities.tsv?token=GHSAT0AAAAAACG3N477SHZIFM4PABHF5FS4ZJAEJVQ'\n",
        "#url += 'master/midterm/sne_metallicities.tsv?token=GHSAT0AAAAAACG3N477PELQVNEQQRCV3GVIZI4JJLA'\n",
        "sne =pd.read_csv(url, sep='\\t',\n",
        "            skiprows=1, index_col=None,\n",
        "                 header=None,\n",
        "                 na_values=['-'],\n",
        "            names=[\"SN\", \"D31\", \"D13m\", \"D13p\", \"KD02comb\",\n",
        "                   \"KD02m\", \"KD02p\", \"PP04\", \"PP04m\",\n",
        "                   \"PP04p\", \"M08\", \"M08m\", \"M08p\",\n",
        "                   \"Emv\", \"mvm\", \"mvp\", \"M13\", \"M13m\", \"M13p\"])\n",
        "sne\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Populating the interactive namespace from numpy and matplotlib\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "        SN    D31   D13m   D13p  KD02comb  KD02m  KD02p   PP04  PP04m  PP04p  \\\n",
              "0     09ps  8.309  0.088  0.073     8.347  0.131  0.116  8.362  0.025  0.026   \n",
              "1    10bip  8.378  0.050  0.042       NaN    NaN    NaN  8.302  0.013  0.013   \n",
              "2    10gvb  7.945  0.231  0.191     8.280  0.135  0.129  8.102  0.062  0.045   \n",
              "3    10svt  8.296  0.079  0.070     8.479  0.061  0.049  8.218  0.016  0.015   \n",
              "4    12gzk  8.048  0.091  0.072     7.943  0.053  0.046  8.071  0.017  0.015   \n",
              "5    12hni  8.373  0.024  0.025     8.457  0.007  0.004  8.211  0.006  0.006   \n",
              "6     09sk  8.368  0.007  0.006     8.486  0.008  0.009  8.335  0.002  0.002   \n",
              "7   10aavz  8.516  0.193  0.151     8.631  0.133  0.078  8.481  0.051  0.044   \n",
              "8    10bzf  8.152  0.270  0.188     8.625  0.218  0.146  8.333  0.064  0.052   \n",
              "9    10ciw  8.545  0.070  0.073     8.572  0.084  0.074  8.400  0.060  0.096   \n",
              "10   10qts  8.108  0.354  0.294     8.033  0.041  0.046  8.081  0.143  0.081   \n",
              "11   10tqv  8.118  0.294  0.226     8.168  0.090  0.245  8.268  0.089  0.056   \n",
              "12   10vgv  8.852  0.107  0.104     8.811  0.055  0.051  8.399  0.024  0.021   \n",
              "13   10xem    NaN    NaN    NaN     8.075  0.007  0.007  8.082  0.001  0.001   \n",
              "14   11cmh  8.654  0.278  0.178     8.524  0.107  0.118  8.550  0.103  0.084   \n",
              "15   11gcj  8.257  0.077  0.072     8.229  0.041  0.179  8.273  0.017  0.016   \n",
              "16   11img  8.363  0.226  0.176     8.475  0.069  0.073  8.265  0.066  0.051   \n",
              "17   11lbm  8.035  0.050  0.049     8.280  0.020  0.019  8.260  0.011  0.010   \n",
              "18   11qcj  8.327  0.014  0.014     8.425  0.074  0.043  8.284  0.004  0.003   \n",
              "19    12as  8.552  0.020  0.018     8.562  0.013  0.014  8.438  0.005  0.005   \n",
              "20   09iqd  8.996  0.047  0.044     8.802  0.054  0.057  8.594  0.013  0.012   \n",
              "21   10bhu  8.657  0.037  0.036     8.751  0.068  0.062  8.579  0.020  0.021   \n",
              "22   10fmx  8.938  0.114  0.102     8.812  0.137  0.081  8.662  0.060  0.065   \n",
              "23   10hfe  8.782  0.011  0.011     8.787  0.020  0.021  8.602  0.005  0.005   \n",
              "24   10hie  7.762  0.260  0.227     8.108  0.098  0.125  8.094  0.147  0.088   \n",
              "25   10lbo  8.808  0.075  0.072     8.853  0.045  0.036  8.613  0.031  0.031   \n",
              "26   10ood  8.510  0.031  0.031     8.541  0.051  0.048  8.304  0.009  0.008   \n",
              "27   10osn  9.106  0.027  0.029     8.828  0.162  0.201  8.719  0.025  0.028   \n",
              "28   10qqd    NaN    NaN    NaN     8.818  0.169  0.195    NaN    NaN    NaN   \n",
              "29   10tqi  8.758  0.010  0.010     8.827  0.007  0.008  8.569  0.003  0.003   \n",
              "30   10wal  8.772  0.044  0.040     8.884  0.031  0.032  8.656  0.015  0.016   \n",
              "31   10xik  8.282  0.154  0.117     8.479  0.359  0.079  8.288  0.034  0.027   \n",
              "32   10yow    NaN    NaN    NaN     9.181  0.061  0.078    NaN    NaN    NaN   \n",
              "33   10ysd  9.209  0.013  0.014     9.136  0.033  0.039  8.875  0.021  0.024   \n",
              "34   10zcn  9.115  0.028  0.031     8.986  0.077  0.104  8.851  0.030  0.038   \n",
              "35   11bov  8.204  0.031  0.029     8.402  0.140  0.033  8.286  0.008  0.008   \n",
              "36   11hyg  9.185  0.018  0.017     9.046  0.039  0.047  8.820  0.018  0.020   \n",
              "37   11ixk  8.926  0.043  0.041     8.922  0.087  0.111  8.679  0.027  0.031   \n",
              "38   11jgj  9.094  0.030  0.036     8.835  0.095  0.102  8.792  0.039  0.051   \n",
              "39   11klg  9.126  0.015  0.015     9.087  0.013  0.013  8.856  0.015  0.014   \n",
              "40   11rka  7.726  0.175  0.117     7.977  0.012  0.011  8.018  0.026  0.022   \n",
              "41   12cjy  9.145  0.024  0.030     9.055  0.017  0.017  8.919  0.035  0.050   \n",
              "42   12dcp  8.807  0.006  0.006     8.669  0.015  0.015  8.497  0.004  0.004   \n",
              "43   12dtf  8.481  0.026  0.024     8.384  0.063  0.057  8.281  0.008  0.007   \n",
              "44   12fgw  9.031  0.003  0.003     8.861  0.009  0.009  8.688  0.004  0.004   \n",
              "45   12hvv  8.735  0.053  0.054     8.759  0.131  0.148  8.627  0.032  0.035   \n",
              "46   12jxd  8.985  0.005  0.004     8.912  0.007  0.006  8.701  0.002  0.002   \n",
              "47   12ktu  9.201  0.016  0.017     9.099  0.052  0.067  8.874  0.019  0.022   \n",
              "\n",
              "      M08   M08m   M08p    Emv    mvm    mvp    M13   M13m   M13p  \n",
              "0   8.472  0.050  0.042  0.292  0.078  0.083  8.287  0.016  0.017  \n",
              "1   8.580  0.027  0.027  0.504  0.061  0.065  8.246  0.010  0.009  \n",
              "2   8.161  0.185  0.118  0.329  0.058  0.061  8.175  0.008  0.009  \n",
              "3   8.331  0.042  0.037  0.032  0.020  0.021  8.191  0.013  0.012  \n",
              "4   7.941  0.052  0.046  0.081  0.022  0.022    NaN    NaN    NaN  \n",
              "5   8.451  0.013  0.013  0.091  0.024  0.025  8.186  0.008  0.008  \n",
              "6   8.522  0.004  0.004  0.111  0.007  0.007  8.269  0.003  0.003  \n",
              "7   8.728  0.127  0.095  0.000  0.000  0.000  8.366  0.034  0.029  \n",
              "8   8.451  0.161  0.117  0.000  0.000  0.000  8.269  0.039  0.033  \n",
              "9   8.708  0.041  0.037  0.282  0.083  0.092  8.312  0.040  0.063  \n",
              "10  8.089  0.411  0.601  0.000  0.000  0.000  8.183  0.013  0.018  \n",
              "11  8.312  0.244  0.138  0.007  0.007  0.093  8.235  0.038  0.031  \n",
              "12  8.677  0.058  0.048  0.070  0.064  0.067  8.311  0.016  0.014  \n",
              "13  8.118  0.002  0.002  0.471  0.006  0.006    NaN    NaN    NaN  \n",
              "14  8.737  0.206  0.139  0.000  0.000  0.298  8.413  0.066  0.056  \n",
              "15  8.444  0.039  0.034  0.000  0.000  0.000  8.228  0.013  0.011  \n",
              "16  8.455  0.143  0.102  0.657  0.232  0.267  8.228  0.034  0.032  \n",
              "17  8.323  0.028  0.026  0.333  0.014  0.015  8.219  0.010  0.008  \n",
              "18  8.518  0.008  0.008  0.000  0.000  0.000  8.235  0.005  0.005  \n",
              "19  8.645  0.012  0.012  0.462  0.017  0.017  8.338  0.004  0.004  \n",
              "20  8.941  0.038  0.035  0.468  0.049  0.045  8.441  0.011  0.011  \n",
              "21  8.814  0.026  0.024  0.173  0.083  0.090  8.431  0.014  0.016  \n",
              "22  8.916  0.083  0.084  0.104  0.104  0.206  8.487  0.041  0.045  \n",
              "23  8.893  0.009  0.009  0.000  0.000  0.000  8.448  0.008  0.008  \n",
              "24  8.099  0.431  0.591  0.000  0.000  0.045  8.188  0.014  0.019  \n",
              "25  8.873  0.055  0.056  0.000  0.000  0.058  8.454  0.021  0.022  \n",
              "26  8.528  0.020  0.019  0.210  0.025  0.027  8.249  0.007  0.006  \n",
              "27  9.022  0.027  0.029  0.681  0.071  0.074  8.526  0.020  0.023  \n",
              "28  8.779  0.031  0.027  1.469  0.146  0.168    NaN    NaN    NaN  \n",
              "29  8.806  0.007  0.007  0.140  0.010  0.010  8.426  0.006  0.006  \n",
              "30  8.849  0.027  0.029  0.120  0.044  0.043  8.484  0.014  0.014  \n",
              "31  8.458  0.082  0.065  0.000  0.000  0.000  8.238  0.023  0.018  \n",
              "32  8.909  0.017  0.018  0.631  0.087  0.097    NaN    NaN    NaN  \n",
              "33  9.378  0.012  0.010  0.222  0.027  0.027  8.630  0.021  0.024  \n",
              "34  8.950  0.019  0.019  0.411  0.042  0.048  8.614  0.027  0.031  \n",
              "35  8.511  0.016  0.016  0.000  0.000  0.000  8.236  0.007  0.007  \n",
              "36  9.066  0.016  0.017  0.693  0.040  0.042  8.594  0.019  0.021  \n",
              "37  9.013  0.038  0.042  0.030  0.030  0.115  8.498  0.020  0.024  \n",
              "38  8.966  0.016  0.015  0.717  0.086  0.088  8.574  0.030  0.037  \n",
              "39  9.066  0.015  0.017  0.235  0.024  0.022  8.617  0.019  0.020  \n",
              "40  7.856  0.084  0.069  0.090  0.013  0.013    NaN    NaN    NaN  \n",
              "41  8.984  0.011  0.011  0.124  0.031  0.033  8.661  0.031  0.037  \n",
              "42  8.782  0.004  0.004  0.300  0.020  0.021  8.377  0.004  0.004  \n",
              "43  8.501  0.016  0.014  0.485  0.025  0.028  8.233  0.007  0.007  \n",
              "44  8.903  0.002  0.003  0.604  0.012  0.012  8.505  0.010  0.011  \n",
              "45  8.870  0.040  0.039  0.017  0.017  0.122  8.464  0.023  0.024  \n",
              "46  8.971  0.004  0.004  0.495  0.009  0.009  8.514  0.011  0.011  \n",
              "47  8.974  0.010  0.011  0.354  0.026  0.027  8.630  0.022  0.023  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-e3c58c61-7c2f-41bb-a4b6-a72f1fed39e6\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
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              "\n",
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              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>SN</th>\n",
              "      <th>D31</th>\n",
              "      <th>D13m</th>\n",
              "      <th>D13p</th>\n",
              "      <th>KD02comb</th>\n",
              "      <th>KD02m</th>\n",
              "      <th>KD02p</th>\n",
              "      <th>PP04</th>\n",
              "      <th>PP04m</th>\n",
              "      <th>PP04p</th>\n",
              "      <th>M08</th>\n",
              "      <th>M08m</th>\n",
              "      <th>M08p</th>\n",
              "      <th>Emv</th>\n",
              "      <th>mvm</th>\n",
              "      <th>mvp</th>\n",
              "      <th>M13</th>\n",
              "      <th>M13m</th>\n",
              "      <th>M13p</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>09ps</td>\n",
              "      <td>8.309</td>\n",
              "      <td>0.088</td>\n",
              "      <td>0.073</td>\n",
              "      <td>8.347</td>\n",
              "      <td>0.131</td>\n",
              "      <td>0.116</td>\n",
              "      <td>8.362</td>\n",
              "      <td>0.025</td>\n",
              "      <td>0.026</td>\n",
              "      <td>8.472</td>\n",
              "      <td>0.050</td>\n",
              "      <td>0.042</td>\n",
              "      <td>0.292</td>\n",
              "      <td>0.078</td>\n",
              "      <td>0.083</td>\n",
              "      <td>8.287</td>\n",
              "      <td>0.016</td>\n",
              "      <td>0.017</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>10bip</td>\n",
              "      <td>8.378</td>\n",
              "      <td>0.050</td>\n",
              "      <td>0.042</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>8.302</td>\n",
              "      <td>0.013</td>\n",
              "      <td>0.013</td>\n",
              "      <td>8.580</td>\n",
              "      <td>0.027</td>\n",
              "      <td>0.027</td>\n",
              "      <td>0.504</td>\n",
              "      <td>0.061</td>\n",
              "      <td>0.065</td>\n",
              "      <td>8.246</td>\n",
              "      <td>0.010</td>\n",
              "      <td>0.009</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>10gvb</td>\n",
              "      <td>7.945</td>\n",
              "      <td>0.231</td>\n",
              "      <td>0.191</td>\n",
              "      <td>8.280</td>\n",
              "      <td>0.135</td>\n",
              "      <td>0.129</td>\n",
              "      <td>8.102</td>\n",
              "      <td>0.062</td>\n",
              "      <td>0.045</td>\n",
              "      <td>8.161</td>\n",
              "      <td>0.185</td>\n",
              "      <td>0.118</td>\n",
              "      <td>0.329</td>\n",
              "      <td>0.058</td>\n",
              "      <td>0.061</td>\n",
              "      <td>8.175</td>\n",
              "      <td>0.008</td>\n",
              "      <td>0.009</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>10svt</td>\n",
              "      <td>8.296</td>\n",
              "      <td>0.079</td>\n",
              "      <td>0.070</td>\n",
              "      <td>8.479</td>\n",
              "      <td>0.061</td>\n",
              "      <td>0.049</td>\n",
              "      <td>8.218</td>\n",
              "      <td>0.016</td>\n",
              "      <td>0.015</td>\n",
              "      <td>8.331</td>\n",
              "      <td>0.042</td>\n",
              "      <td>0.037</td>\n",
              "      <td>0.032</td>\n",
              "      <td>0.020</td>\n",
              "      <td>0.021</td>\n",
              "      <td>8.191</td>\n",
              "      <td>0.013</td>\n",
              "      <td>0.012</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>12gzk</td>\n",
              "      <td>8.048</td>\n",
              "      <td>0.091</td>\n",
              "      <td>0.072</td>\n",
              "      <td>7.943</td>\n",
              "      <td>0.053</td>\n",
              "      <td>0.046</td>\n",
              "      <td>8.071</td>\n",
              "      <td>0.017</td>\n",
              "      <td>0.015</td>\n",
              "      <td>7.941</td>\n",
              "      <td>0.052</td>\n",
              "      <td>0.046</td>\n",
              "      <td>0.081</td>\n",
              "      <td>0.022</td>\n",
              "      <td>0.022</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>12hni</td>\n",
              "      <td>8.373</td>\n",
              "      <td>0.024</td>\n",
              "      <td>0.025</td>\n",
              "      <td>8.457</td>\n",
              "      <td>0.007</td>\n",
              "      <td>0.004</td>\n",
              "      <td>8.211</td>\n",
              "      <td>0.006</td>\n",
              "      <td>0.006</td>\n",
              "      <td>8.451</td>\n",
              "      <td>0.013</td>\n",
              "      <td>0.013</td>\n",
              "      <td>0.091</td>\n",
              "      <td>0.024</td>\n",
              "      <td>0.025</td>\n",
              "      <td>8.186</td>\n",
              "      <td>0.008</td>\n",
              "      <td>0.008</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>09sk</td>\n",
              "      <td>8.368</td>\n",
              "      <td>0.007</td>\n",
              "      <td>0.006</td>\n",
              "      <td>8.486</td>\n",
              "      <td>0.008</td>\n",
              "      <td>0.009</td>\n",
              "      <td>8.335</td>\n",
              "      <td>0.002</td>\n",
              "      <td>0.002</td>\n",
              "      <td>8.522</td>\n",
              "      <td>0.004</td>\n",
              "      <td>0.004</td>\n",
              "      <td>0.111</td>\n",
              "      <td>0.007</td>\n",
              "      <td>0.007</td>\n",
              "      <td>8.269</td>\n",
              "      <td>0.003</td>\n",
              "      <td>0.003</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>10aavz</td>\n",
              "      <td>8.516</td>\n",
              "      <td>0.193</td>\n",
              "      <td>0.151</td>\n",
              "      <td>8.631</td>\n",
              "      <td>0.133</td>\n",
              "      <td>0.078</td>\n",
              "      <td>8.481</td>\n",
              "      <td>0.051</td>\n",
              "      <td>0.044</td>\n",
              "      <td>8.728</td>\n",
              "      <td>0.127</td>\n",
              "      <td>0.095</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>8.366</td>\n",
              "      <td>0.034</td>\n",
              "      <td>0.029</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>10bzf</td>\n",
              "      <td>8.152</td>\n",
              "      <td>0.270</td>\n",
              "      <td>0.188</td>\n",
              "      <td>8.625</td>\n",
              "      <td>0.218</td>\n",
              "      <td>0.146</td>\n",
              "      <td>8.333</td>\n",
              "      <td>0.064</td>\n",
              "      <td>0.052</td>\n",
              "      <td>8.451</td>\n",
              "      <td>0.161</td>\n",
              "      <td>0.117</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>8.269</td>\n",
              "      <td>0.039</td>\n",
              "      <td>0.033</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>10ciw</td>\n",
              "      <td>8.545</td>\n",
              "      <td>0.070</td>\n",
              "      <td>0.073</td>\n",
              "      <td>8.572</td>\n",
              "      <td>0.084</td>\n",
              "      <td>0.074</td>\n",
              "      <td>8.400</td>\n",
              "      <td>0.060</td>\n",
              "      <td>0.096</td>\n",
              "      <td>8.708</td>\n",
              "      <td>0.041</td>\n",
              "      <td>0.037</td>\n",
              "      <td>0.282</td>\n",
              "      <td>0.083</td>\n",
              "      <td>0.092</td>\n",
              "      <td>8.312</td>\n",
              "      <td>0.040</td>\n",
              "      <td>0.063</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>10qts</td>\n",
              "      <td>8.108</td>\n",
              "      <td>0.354</td>\n",
              "      <td>0.294</td>\n",
              "      <td>8.033</td>\n",
              "      <td>0.041</td>\n",
              "      <td>0.046</td>\n",
              "      <td>8.081</td>\n",
              "      <td>0.143</td>\n",
              "      <td>0.081</td>\n",
              "      <td>8.089</td>\n",
              "      <td>0.411</td>\n",
              "      <td>0.601</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>8.183</td>\n",
              "      <td>0.013</td>\n",
              "      <td>0.018</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>10tqv</td>\n",
              "      <td>8.118</td>\n",
              "      <td>0.294</td>\n",
              "      <td>0.226</td>\n",
              "      <td>8.168</td>\n",
              "      <td>0.090</td>\n",
              "      <td>0.245</td>\n",
              "      <td>8.268</td>\n",
              "      <td>0.089</td>\n",
              "      <td>0.056</td>\n",
              "      <td>8.312</td>\n",
              "      <td>0.244</td>\n",
              "      <td>0.138</td>\n",
              "      <td>0.007</td>\n",
              "      <td>0.007</td>\n",
              "      <td>0.093</td>\n",
              "      <td>8.235</td>\n",
              "      <td>0.038</td>\n",
              "      <td>0.031</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>10vgv</td>\n",
              "      <td>8.852</td>\n",
              "      <td>0.107</td>\n",
              "      <td>0.104</td>\n",
              "      <td>8.811</td>\n",
              "      <td>0.055</td>\n",
              "      <td>0.051</td>\n",
              "      <td>8.399</td>\n",
              "      <td>0.024</td>\n",
              "      <td>0.021</td>\n",
              "      <td>8.677</td>\n",
              "      <td>0.058</td>\n",
              "      <td>0.048</td>\n",
              "      <td>0.070</td>\n",
              "      <td>0.064</td>\n",
              "      <td>0.067</td>\n",
              "      <td>8.311</td>\n",
              "      <td>0.016</td>\n",
              "      <td>0.014</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>10xem</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>8.075</td>\n",
              "      <td>0.007</td>\n",
              "      <td>0.007</td>\n",
              "      <td>8.082</td>\n",
              "      <td>0.001</td>\n",
              "      <td>0.001</td>\n",
              "      <td>8.118</td>\n",
              "      <td>0.002</td>\n",
              "      <td>0.002</td>\n",
              "      <td>0.471</td>\n",
              "      <td>0.006</td>\n",
              "      <td>0.006</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>11cmh</td>\n",
              "      <td>8.654</td>\n",
              "      <td>0.278</td>\n",
              "      <td>0.178</td>\n",
              "      <td>8.524</td>\n",
              "      <td>0.107</td>\n",
              "      <td>0.118</td>\n",
              "      <td>8.550</td>\n",
              "      <td>0.103</td>\n",
              "      <td>0.084</td>\n",
              "      <td>8.737</td>\n",
              "      <td>0.206</td>\n",
              "      <td>0.139</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.298</td>\n",
              "      <td>8.413</td>\n",
              "      <td>0.066</td>\n",
              "      <td>0.056</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>11gcj</td>\n",
              "      <td>8.257</td>\n",
              "      <td>0.077</td>\n",
              "      <td>0.072</td>\n",
              "      <td>8.229</td>\n",
              "      <td>0.041</td>\n",
              "      <td>0.179</td>\n",
              "      <td>8.273</td>\n",
              "      <td>0.017</td>\n",
              "      <td>0.016</td>\n",
              "      <td>8.444</td>\n",
              "      <td>0.039</td>\n",
              "      <td>0.034</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>8.228</td>\n",
              "      <td>0.013</td>\n",
              "      <td>0.011</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>11img</td>\n",
              "      <td>8.363</td>\n",
              "      <td>0.226</td>\n",
              "      <td>0.176</td>\n",
              "      <td>8.475</td>\n",
              "      <td>0.069</td>\n",
              "      <td>0.073</td>\n",
              "      <td>8.265</td>\n",
              "      <td>0.066</td>\n",
              "      <td>0.051</td>\n",
              "      <td>8.455</td>\n",
              "      <td>0.143</td>\n",
              "      <td>0.102</td>\n",
              "      <td>0.657</td>\n",
              "      <td>0.232</td>\n",
              "      <td>0.267</td>\n",
              "      <td>8.228</td>\n",
              "      <td>0.034</td>\n",
              "      <td>0.032</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>11lbm</td>\n",
              "      <td>8.035</td>\n",
              "      <td>0.050</td>\n",
              "      <td>0.049</td>\n",
              "      <td>8.280</td>\n",
              "      <td>0.020</td>\n",
              "      <td>0.019</td>\n",
              "      <td>8.260</td>\n",
              "      <td>0.011</td>\n",
              "      <td>0.010</td>\n",
              "      <td>8.323</td>\n",
              "      <td>0.028</td>\n",
              "      <td>0.026</td>\n",
              "      <td>0.333</td>\n",
              "      <td>0.014</td>\n",
              "      <td>0.015</td>\n",
              "      <td>8.219</td>\n",
              "      <td>0.010</td>\n",
              "      <td>0.008</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>11qcj</td>\n",
              "      <td>8.327</td>\n",
              "      <td>0.014</td>\n",
              "      <td>0.014</td>\n",
              "      <td>8.425</td>\n",
              "      <td>0.074</td>\n",
              "      <td>0.043</td>\n",
              "      <td>8.284</td>\n",
              "      <td>0.004</td>\n",
              "      <td>0.003</td>\n",
              "      <td>8.518</td>\n",
              "      <td>0.008</td>\n",
              "      <td>0.008</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>8.235</td>\n",
              "      <td>0.005</td>\n",
              "      <td>0.005</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>12as</td>\n",
              "      <td>8.552</td>\n",
              "      <td>0.020</td>\n",
              "      <td>0.018</td>\n",
              "      <td>8.562</td>\n",
              "      <td>0.013</td>\n",
              "      <td>0.014</td>\n",
              "      <td>8.438</td>\n",
              "      <td>0.005</td>\n",
              "      <td>0.005</td>\n",
              "      <td>8.645</td>\n",
              "      <td>0.012</td>\n",
              "      <td>0.012</td>\n",
              "      <td>0.462</td>\n",
              "      <td>0.017</td>\n",
              "      <td>0.017</td>\n",
              "      <td>8.338</td>\n",
              "      <td>0.004</td>\n",
              "      <td>0.004</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>09iqd</td>\n",
              "      <td>8.996</td>\n",
              "      <td>0.047</td>\n",
              "      <td>0.044</td>\n",
              "      <td>8.802</td>\n",
              "      <td>0.054</td>\n",
              "      <td>0.057</td>\n",
              "      <td>8.594</td>\n",
              "      <td>0.013</td>\n",
              "      <td>0.012</td>\n",
              "      <td>8.941</td>\n",
              "      <td>0.038</td>\n",
              "      <td>0.035</td>\n",
              "      <td>0.468</td>\n",
              "      <td>0.049</td>\n",
              "      <td>0.045</td>\n",
              "      <td>8.441</td>\n",
              "      <td>0.011</td>\n",
              "      <td>0.011</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>10bhu</td>\n",
              "      <td>8.657</td>\n",
              "      <td>0.037</td>\n",
              "      <td>0.036</td>\n",
              "      <td>8.751</td>\n",
              "      <td>0.068</td>\n",
              "      <td>0.062</td>\n",
              "      <td>8.579</td>\n",
              "      <td>0.020</td>\n",
              "      <td>0.021</td>\n",
              "      <td>8.814</td>\n",
              "      <td>0.026</td>\n",
              "      <td>0.024</td>\n",
              "      <td>0.173</td>\n",
              "      <td>0.083</td>\n",
              "      <td>0.090</td>\n",
              "      <td>8.431</td>\n",
              "      <td>0.014</td>\n",
              "      <td>0.016</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>10fmx</td>\n",
              "      <td>8.938</td>\n",
              "      <td>0.114</td>\n",
              "      <td>0.102</td>\n",
              "      <td>8.812</td>\n",
              "      <td>0.137</td>\n",
              "      <td>0.081</td>\n",
              "      <td>8.662</td>\n",
              "      <td>0.060</td>\n",
              "      <td>0.065</td>\n",
              "      <td>8.916</td>\n",
              "      <td>0.083</td>\n",
              "      <td>0.084</td>\n",
              "      <td>0.104</td>\n",
              "      <td>0.104</td>\n",
              "      <td>0.206</td>\n",
              "      <td>8.487</td>\n",
              "      <td>0.041</td>\n",
              "      <td>0.045</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>10hfe</td>\n",
              "      <td>8.782</td>\n",
              "      <td>0.011</td>\n",
              "      <td>0.011</td>\n",
              "      <td>8.787</td>\n",
              "      <td>0.020</td>\n",
              "      <td>0.021</td>\n",
              "      <td>8.602</td>\n",
              "      <td>0.005</td>\n",
              "      <td>0.005</td>\n",
              "      <td>8.893</td>\n",
              "      <td>0.009</td>\n",
              "      <td>0.009</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>8.448</td>\n",
              "      <td>0.008</td>\n",
              "      <td>0.008</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>10hie</td>\n",
              "      <td>7.762</td>\n",
              "      <td>0.260</td>\n",
              "      <td>0.227</td>\n",
              "      <td>8.108</td>\n",
              "      <td>0.098</td>\n",
              "      <td>0.125</td>\n",
              "      <td>8.094</td>\n",
              "      <td>0.147</td>\n",
              "      <td>0.088</td>\n",
              "      <td>8.099</td>\n",
              "      <td>0.431</td>\n",
              "      <td>0.591</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.045</td>\n",
              "      <td>8.188</td>\n",
              "      <td>0.014</td>\n",
              "      <td>0.019</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>10lbo</td>\n",
              "      <td>8.808</td>\n",
              "      <td>0.075</td>\n",
              "      <td>0.072</td>\n",
              "      <td>8.853</td>\n",
              "      <td>0.045</td>\n",
              "      <td>0.036</td>\n",
              "      <td>8.613</td>\n",
              "      <td>0.031</td>\n",
              "      <td>0.031</td>\n",
              "      <td>8.873</td>\n",
              "      <td>0.055</td>\n",
              "      <td>0.056</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.058</td>\n",
              "      <td>8.454</td>\n",
              "      <td>0.021</td>\n",
              "      <td>0.022</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>10ood</td>\n",
              "      <td>8.510</td>\n",
              "      <td>0.031</td>\n",
              "      <td>0.031</td>\n",
              "      <td>8.541</td>\n",
              "      <td>0.051</td>\n",
              "      <td>0.048</td>\n",
              "      <td>8.304</td>\n",
              "      <td>0.009</td>\n",
              "      <td>0.008</td>\n",
              "      <td>8.528</td>\n",
              "      <td>0.020</td>\n",
              "      <td>0.019</td>\n",
              "      <td>0.210</td>\n",
              "      <td>0.025</td>\n",
              "      <td>0.027</td>\n",
              "      <td>8.249</td>\n",
              "      <td>0.007</td>\n",
              "      <td>0.006</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>10osn</td>\n",
              "      <td>9.106</td>\n",
              "      <td>0.027</td>\n",
              "      <td>0.029</td>\n",
              "      <td>8.828</td>\n",
              "      <td>0.162</td>\n",
              "      <td>0.201</td>\n",
              "      <td>8.719</td>\n",
              "      <td>0.025</td>\n",
              "      <td>0.028</td>\n",
              "      <td>9.022</td>\n",
              "      <td>0.027</td>\n",
              "      <td>0.029</td>\n",
              "      <td>0.681</td>\n",
              "      <td>0.071</td>\n",
              "      <td>0.074</td>\n",
              "      <td>8.526</td>\n",
              "      <td>0.020</td>\n",
              "      <td>0.023</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>10qqd</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>8.818</td>\n",
              "      <td>0.169</td>\n",
              "      <td>0.195</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>8.779</td>\n",
              "      <td>0.031</td>\n",
              "      <td>0.027</td>\n",
              "      <td>1.469</td>\n",
              "      <td>0.146</td>\n",
              "      <td>0.168</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>10tqi</td>\n",
              "      <td>8.758</td>\n",
              "      <td>0.010</td>\n",
              "      <td>0.010</td>\n",
              "      <td>8.827</td>\n",
              "      <td>0.007</td>\n",
              "      <td>0.008</td>\n",
              "      <td>8.569</td>\n",
              "      <td>0.003</td>\n",
              "      <td>0.003</td>\n",
              "      <td>8.806</td>\n",
              "      <td>0.007</td>\n",
              "      <td>0.007</td>\n",
              "      <td>0.140</td>\n",
              "      <td>0.010</td>\n",
              "      <td>0.010</td>\n",
              "      <td>8.426</td>\n",
              "      <td>0.006</td>\n",
              "      <td>0.006</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>30</th>\n",
              "      <td>10wal</td>\n",
              "      <td>8.772</td>\n",
              "      <td>0.044</td>\n",
              "      <td>0.040</td>\n",
              "      <td>8.884</td>\n",
              "      <td>0.031</td>\n",
              "      <td>0.032</td>\n",
              "      <td>8.656</td>\n",
              "      <td>0.015</td>\n",
              "      <td>0.016</td>\n",
              "      <td>8.849</td>\n",
              "      <td>0.027</td>\n",
              "      <td>0.029</td>\n",
              "      <td>0.120</td>\n",
              "      <td>0.044</td>\n",
              "      <td>0.043</td>\n",
              "      <td>8.484</td>\n",
              "      <td>0.014</td>\n",
              "      <td>0.014</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>31</th>\n",
              "      <td>10xik</td>\n",
              "      <td>8.282</td>\n",
              "      <td>0.154</td>\n",
              "      <td>0.117</td>\n",
              "      <td>8.479</td>\n",
              "      <td>0.359</td>\n",
              "      <td>0.079</td>\n",
              "      <td>8.288</td>\n",
              "      <td>0.034</td>\n",
              "      <td>0.027</td>\n",
              "      <td>8.458</td>\n",
              "      <td>0.082</td>\n",
              "      <td>0.065</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>8.238</td>\n",
              "      <td>0.023</td>\n",
              "      <td>0.018</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>32</th>\n",
              "      <td>10yow</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>9.181</td>\n",
              "      <td>0.061</td>\n",
              "      <td>0.078</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>8.909</td>\n",
              "      <td>0.017</td>\n",
              "      <td>0.018</td>\n",
              "      <td>0.631</td>\n",
              "      <td>0.087</td>\n",
              "      <td>0.097</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>33</th>\n",
              "      <td>10ysd</td>\n",
              "      <td>9.209</td>\n",
              "      <td>0.013</td>\n",
              "      <td>0.014</td>\n",
              "      <td>9.136</td>\n",
              "      <td>0.033</td>\n",
              "      <td>0.039</td>\n",
              "      <td>8.875</td>\n",
              "      <td>0.021</td>\n",
              "      <td>0.024</td>\n",
              "      <td>9.378</td>\n",
              "      <td>0.012</td>\n",
              "      <td>0.010</td>\n",
              "      <td>0.222</td>\n",
              "      <td>0.027</td>\n",
              "      <td>0.027</td>\n",
              "      <td>8.630</td>\n",
              "      <td>0.021</td>\n",
              "      <td>0.024</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>34</th>\n",
              "      <td>10zcn</td>\n",
              "      <td>9.115</td>\n",
              "      <td>0.028</td>\n",
              "      <td>0.031</td>\n",
              "      <td>8.986</td>\n",
              "      <td>0.077</td>\n",
              "      <td>0.104</td>\n",
              "      <td>8.851</td>\n",
              "      <td>0.030</td>\n",
              "      <td>0.038</td>\n",
              "      <td>8.950</td>\n",
              "      <td>0.019</td>\n",
              "      <td>0.019</td>\n",
              "      <td>0.411</td>\n",
              "      <td>0.042</td>\n",
              "      <td>0.048</td>\n",
              "      <td>8.614</td>\n",
              "      <td>0.027</td>\n",
              "      <td>0.031</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>35</th>\n",
              "      <td>11bov</td>\n",
              "      <td>8.204</td>\n",
              "      <td>0.031</td>\n",
              "      <td>0.029</td>\n",
              "      <td>8.402</td>\n",
              "      <td>0.140</td>\n",
              "      <td>0.033</td>\n",
              "      <td>8.286</td>\n",
              "      <td>0.008</td>\n",
              "      <td>0.008</td>\n",
              "      <td>8.511</td>\n",
              "      <td>0.016</td>\n",
              "      <td>0.016</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>8.236</td>\n",
              "      <td>0.007</td>\n",
              "      <td>0.007</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>36</th>\n",
              "      <td>11hyg</td>\n",
              "      <td>9.185</td>\n",
              "      <td>0.018</td>\n",
              "      <td>0.017</td>\n",
              "      <td>9.046</td>\n",
              "      <td>0.039</td>\n",
              "      <td>0.047</td>\n",
              "      <td>8.820</td>\n",
              "      <td>0.018</td>\n",
              "      <td>0.020</td>\n",
              "      <td>9.066</td>\n",
              "      <td>0.016</td>\n",
              "      <td>0.017</td>\n",
              "      <td>0.693</td>\n",
              "      <td>0.040</td>\n",
              "      <td>0.042</td>\n",
              "      <td>8.594</td>\n",
              "      <td>0.019</td>\n",
              "      <td>0.021</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>37</th>\n",
              "      <td>11ixk</td>\n",
              "      <td>8.926</td>\n",
              "      <td>0.043</td>\n",
              "      <td>0.041</td>\n",
              "      <td>8.922</td>\n",
              "      <td>0.087</td>\n",
              "      <td>0.111</td>\n",
              "      <td>8.679</td>\n",
              "      <td>0.027</td>\n",
              "      <td>0.031</td>\n",
              "      <td>9.013</td>\n",
              "      <td>0.038</td>\n",
              "      <td>0.042</td>\n",
              "      <td>0.030</td>\n",
              "      <td>0.030</td>\n",
              "      <td>0.115</td>\n",
              "      <td>8.498</td>\n",
              "      <td>0.020</td>\n",
              "      <td>0.024</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>38</th>\n",
              "      <td>11jgj</td>\n",
              "      <td>9.094</td>\n",
              "      <td>0.030</td>\n",
              "      <td>0.036</td>\n",
              "      <td>8.835</td>\n",
              "      <td>0.095</td>\n",
              "      <td>0.102</td>\n",
              "      <td>8.792</td>\n",
              "      <td>0.039</td>\n",
              "      <td>0.051</td>\n",
              "      <td>8.966</td>\n",
              "      <td>0.016</td>\n",
              "      <td>0.015</td>\n",
              "      <td>0.717</td>\n",
              "      <td>0.086</td>\n",
              "      <td>0.088</td>\n",
              "      <td>8.574</td>\n",
              "      <td>0.030</td>\n",
              "      <td>0.037</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>39</th>\n",
              "      <td>11klg</td>\n",
              "      <td>9.126</td>\n",
              "      <td>0.015</td>\n",
              "      <td>0.015</td>\n",
              "      <td>9.087</td>\n",
              "      <td>0.013</td>\n",
              "      <td>0.013</td>\n",
              "      <td>8.856</td>\n",
              "      <td>0.015</td>\n",
              "      <td>0.014</td>\n",
              "      <td>9.066</td>\n",
              "      <td>0.015</td>\n",
              "      <td>0.017</td>\n",
              "      <td>0.235</td>\n",
              "      <td>0.024</td>\n",
              "      <td>0.022</td>\n",
              "      <td>8.617</td>\n",
              "      <td>0.019</td>\n",
              "      <td>0.020</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>40</th>\n",
              "      <td>11rka</td>\n",
              "      <td>7.726</td>\n",
              "      <td>0.175</td>\n",
              "      <td>0.117</td>\n",
              "      <td>7.977</td>\n",
              "      <td>0.012</td>\n",
              "      <td>0.011</td>\n",
              "      <td>8.018</td>\n",
              "      <td>0.026</td>\n",
              "      <td>0.022</td>\n",
              "      <td>7.856</td>\n",
              "      <td>0.084</td>\n",
              "      <td>0.069</td>\n",
              "      <td>0.090</td>\n",
              "      <td>0.013</td>\n",
              "      <td>0.013</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>41</th>\n",
              "      <td>12cjy</td>\n",
              "      <td>9.145</td>\n",
              "      <td>0.024</td>\n",
              "      <td>0.030</td>\n",
              "      <td>9.055</td>\n",
              "      <td>0.017</td>\n",
              "      <td>0.017</td>\n",
              "      <td>8.919</td>\n",
              "      <td>0.035</td>\n",
              "      <td>0.050</td>\n",
              "      <td>8.984</td>\n",
              "      <td>0.011</td>\n",
              "      <td>0.011</td>\n",
              "      <td>0.124</td>\n",
              "      <td>0.031</td>\n",
              "      <td>0.033</td>\n",
              "      <td>8.661</td>\n",
              "      <td>0.031</td>\n",
              "      <td>0.037</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>42</th>\n",
              "      <td>12dcp</td>\n",
              "      <td>8.807</td>\n",
              "      <td>0.006</td>\n",
              "      <td>0.006</td>\n",
              "      <td>8.669</td>\n",
              "      <td>0.015</td>\n",
              "      <td>0.015</td>\n",
              "      <td>8.497</td>\n",
              "      <td>0.004</td>\n",
              "      <td>0.004</td>\n",
              "      <td>8.782</td>\n",
              "      <td>0.004</td>\n",
              "      <td>0.004</td>\n",
              "      <td>0.300</td>\n",
              "      <td>0.020</td>\n",
              "      <td>0.021</td>\n",
              "      <td>8.377</td>\n",
              "      <td>0.004</td>\n",
              "      <td>0.004</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>43</th>\n",
              "      <td>12dtf</td>\n",
              "      <td>8.481</td>\n",
              "      <td>0.026</td>\n",
              "      <td>0.024</td>\n",
              "      <td>8.384</td>\n",
              "      <td>0.063</td>\n",
              "      <td>0.057</td>\n",
              "      <td>8.281</td>\n",
              "      <td>0.008</td>\n",
              "      <td>0.007</td>\n",
              "      <td>8.501</td>\n",
              "      <td>0.016</td>\n",
              "      <td>0.014</td>\n",
              "      <td>0.485</td>\n",
              "      <td>0.025</td>\n",
              "      <td>0.028</td>\n",
              "      <td>8.233</td>\n",
              "      <td>0.007</td>\n",
              "      <td>0.007</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>44</th>\n",
              "      <td>12fgw</td>\n",
              "      <td>9.031</td>\n",
              "      <td>0.003</td>\n",
              "      <td>0.003</td>\n",
              "      <td>8.861</td>\n",
              "      <td>0.009</td>\n",
              "      <td>0.009</td>\n",
              "      <td>8.688</td>\n",
              "      <td>0.004</td>\n",
              "      <td>0.004</td>\n",
              "      <td>8.903</td>\n",
              "      <td>0.002</td>\n",
              "      <td>0.003</td>\n",
              "      <td>0.604</td>\n",
              "      <td>0.012</td>\n",
              "      <td>0.012</td>\n",
              "      <td>8.505</td>\n",
              "      <td>0.010</td>\n",
              "      <td>0.011</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>45</th>\n",
              "      <td>12hvv</td>\n",
              "      <td>8.735</td>\n",
              "      <td>0.053</td>\n",
              "      <td>0.054</td>\n",
              "      <td>8.759</td>\n",
              "      <td>0.131</td>\n",
              "      <td>0.148</td>\n",
              "      <td>8.627</td>\n",
              "      <td>0.032</td>\n",
              "      <td>0.035</td>\n",
              "      <td>8.870</td>\n",
              "      <td>0.040</td>\n",
              "      <td>0.039</td>\n",
              "      <td>0.017</td>\n",
              "      <td>0.017</td>\n",
              "      <td>0.122</td>\n",
              "      <td>8.464</td>\n",
              "      <td>0.023</td>\n",
              "      <td>0.024</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>46</th>\n",
              "      <td>12jxd</td>\n",
              "      <td>8.985</td>\n",
              "      <td>0.005</td>\n",
              "      <td>0.004</td>\n",
              "      <td>8.912</td>\n",
              "      <td>0.007</td>\n",
              "      <td>0.006</td>\n",
              "      <td>8.701</td>\n",
              "      <td>0.002</td>\n",
              "      <td>0.002</td>\n",
              "      <td>8.971</td>\n",
              "      <td>0.004</td>\n",
              "      <td>0.004</td>\n",
              "      <td>0.495</td>\n",
              "      <td>0.009</td>\n",
              "      <td>0.009</td>\n",
              "      <td>8.514</td>\n",
              "      <td>0.011</td>\n",
              "      <td>0.011</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>47</th>\n",
              "      <td>12ktu</td>\n",
              "      <td>9.201</td>\n",
              "      <td>0.016</td>\n",
              "      <td>0.017</td>\n",
              "      <td>9.099</td>\n",
              "      <td>0.052</td>\n",
              "      <td>0.067</td>\n",
              "      <td>8.874</td>\n",
              "      <td>0.019</td>\n",
              "      <td>0.022</td>\n",
              "      <td>8.974</td>\n",
              "      <td>0.010</td>\n",
              "      <td>0.011</td>\n",
              "      <td>0.354</td>\n",
              "      <td>0.026</td>\n",
              "      <td>0.027</td>\n",
              "      <td>8.630</td>\n",
              "      <td>0.022</td>\n",
              "      <td>0.023</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-e3c58c61-7c2f-41bb-a4b6-a72f1fed39e6')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-e3c58c61-7c2f-41bb-a4b6-a72f1fed39e6 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-e3c58c61-7c2f-41bb-a4b6-a72f1fed39e6');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-b61863ca-0fd5-4185-afb3-52035bae5e24\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-b61863ca-0fd5-4185-afb3-52035bae5e24')\"\n",
              "            title=\"Suggest charts.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-b61863ca-0fd5-4185-afb3-52035bae5e24 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 75
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "metallicities = [\"D31\",\"KD02comb\", \"PP04\", \"M08\", \"Emv\", \"M13\"]"
      ],
      "metadata": {
        "id": "JClF8x7xXJ0U"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "sne[metallicities].corr()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 237
        },
        "id": "8J5DprnmUe6q",
        "outputId": "a8e327a6-a8f4-4991-f910-b743934e3170"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "               D31  KD02comb      PP04       M08       Emv       M13\n",
              "D31       1.000000  0.938248  0.951065  0.949783  0.417077  0.931758\n",
              "KD02comb  0.938248  1.000000  0.946049  0.945628  0.307884  0.920818\n",
              "PP04      0.951065  0.946049  1.000000  0.952258  0.293361  0.993511\n",
              "M08       0.949783  0.945628  0.952258  1.000000  0.272079  0.929294\n",
              "Emv       0.417077  0.307884  0.293361  0.272079  1.000000  0.316624\n",
              "M13       0.931758  0.920818  0.993511  0.929294  0.316624  1.000000"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-90c80b98-87a4-44d9-bfd6-08255bdb20b7\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
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              "\n",
              "    .dataframe thead th {\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>D31</th>\n",
              "      <th>KD02comb</th>\n",
              "      <th>PP04</th>\n",
              "      <th>M08</th>\n",
              "      <th>Emv</th>\n",
              "      <th>M13</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>D31</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.938248</td>\n",
              "      <td>0.951065</td>\n",
              "      <td>0.949783</td>\n",
              "      <td>0.417077</td>\n",
              "      <td>0.931758</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>KD02comb</th>\n",
              "      <td>0.938248</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.946049</td>\n",
              "      <td>0.945628</td>\n",
              "      <td>0.307884</td>\n",
              "      <td>0.920818</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PP04</th>\n",
              "      <td>0.951065</td>\n",
              "      <td>0.946049</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.952258</td>\n",
              "      <td>0.293361</td>\n",
              "      <td>0.993511</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>M08</th>\n",
              "      <td>0.949783</td>\n",
              "      <td>0.945628</td>\n",
              "      <td>0.952258</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.272079</td>\n",
              "      <td>0.929294</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Emv</th>\n",
              "      <td>0.417077</td>\n",
              "      <td>0.307884</td>\n",
              "      <td>0.293361</td>\n",
              "      <td>0.272079</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.316624</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>M13</th>\n",
              "      <td>0.931758</td>\n",
              "      <td>0.920818</td>\n",
              "      <td>0.993511</td>\n",
              "      <td>0.929294</td>\n",
              "      <td>0.316624</td>\n",
              "      <td>1.000000</td>\n",
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              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
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              "            title=\"Convert this dataframe to an interactive table.\"\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-90c80b98-87a4-44d9-bfd6-08255bdb20b7 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-90c80b98-87a4-44d9-bfd6-08255bdb20b7');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
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              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-9689cc4e-bd0f-4a45-9a41-78c3e407f803')\"\n",
              "            title=\"Suggest charts.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "    <g>\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-9689cc4e-bd0f-4a45-9a41-78c3e407f803 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 77
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "fig, ax = plt.subplots()\n",
        "ax.imshow(sne[metallicities].corr(), clim=(-1,1), cmap=\"RdBu\")\n",
        "ax.set_xticks(range(6), metallicities)\n",
        "ax.set_yticks(range(6), metallicities);"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 430
        },
        "id": "wgJMopM-XjYf",
        "outputId": "113ebe2c-6eda-4859-f042-24b739a9aa5a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-10-08T07:41:00.310036Z",
          "start_time": "2019-10-08T07:41:00.303848Z"
        },
        "id": "JaHplmnMY2kq"
      },
      "source": [
        "#delete\n",
        "sne.drop([\"D31\", \"D13m\", \"D13p\", \"KD02m\", \"KD02p\", \"PP04\", \"PP04m\",\n",
        "                   \"PP04p\", \"M08\", \"M08m\", \"M08p\",\n",
        "                   \"Emv\", \"mvm\", \"mvp\", \"M13\", \"M13m\", \"M13p\"],\n",
        "         axis=1, inplace=True)\n",
        "sne.dropna(inplace=True)\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-10-08T07:41:00.317321Z",
          "start_time": "2019-10-08T07:41:00.311478Z"
        },
        "id": "eeAYXz-hY2ks",
        "outputId": "2124fd94-ce8d-48e6-eb92-53411d5fd188",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        }
      },
      "source": [
        "sne.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      SN  KD02comb\n",
              "0   09ps     8.347\n",
              "2  10gvb     8.280\n",
              "3  10svt     8.479\n",
              "4  12gzk     7.943\n",
              "5  12hni     8.457"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-a3b14a23-5b82-4f87-9a0d-b61221bd65d7\" class=\"colab-df-container\">\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>SN</th>\n",
              "      <th>KD02comb</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>09ps</td>\n",
              "      <td>8.347</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>10gvb</td>\n",
              "      <td>8.280</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>10svt</td>\n",
              "      <td>8.479</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>12gzk</td>\n",
              "      <td>7.943</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>12hni</td>\n",
              "      <td>8.457</td>\n",
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              "    [theme=dark] .colab-df-convert:hover {\n",
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              "      fill: #FFFFFF;\n",
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              "  </style>\n",
              "\n",
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              "        document.querySelector('#df-a3b14a23-5b82-4f87-9a0d-b61221bd65d7 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-a3b14a23-5b82-4f87-9a0d-b61221bd65d7');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "    <g>\n",
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              "\n",
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              "      --disabled-fill-color: #AAA;\n",
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              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
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              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
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              "    height: 32px;\n",
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              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
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              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-f00fab8e-b3f6-46a7-abfa-da86d0c9381b button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 80
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-10-08T07:41:00.325201Z",
          "start_time": "2019-10-08T07:41:00.319410Z"
        },
        "id": "lZI_3cqMY2ku"
      },
      "source": [
        "#delete\n",
        "sne.to_csv(\"sne_clean.csv\", index=False)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "uTVXw1adY2kw"
      },
      "source": [
        "# 2.  Read in the GRB metallicity file\n",
        "\n",
        "You can find the data in the github repository\n",
        "\n",
        "https://github.com/fedhere/scratch\n",
        "\n",
        "\n",
        "Clean your dataset of all the columns you will not need and all invalid values in the remaining dataframe\n",
        "_the deliverable is a table like the one below_\n",
        "\n",
        "[hints](https://docs.google.com/document/d/1V9PVb6tK0yuCSTyCILkKXZD9--5PVIvhKDPZIiREdtQ/edit#heading=h.wqv9503ir8mr)\n",
        "\n",
        "You can find the solution at https://github.com/fedhere/scratch/blob/main/data/grb_clean.csv  - if you use this solution you will not get the 10 points for this deliverable (but you can go back later to this! and if you do get the solution later you will get the points!)\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-10-08T07:41:00.539096Z",
          "start_time": "2019-10-08T07:41:00.326127Z"
        },
        "id": "ZdMmqZ30Y2kw",
        "outputId": "3024d729-0eb5-41b0-d3c2-03fb8e38ce1b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 226
        }
      },
      "source": [
        "#https://raw.githubusercontent.com/fedhere/DSPS_2019/master/midterm/#delete\n",
        "url = 'https://raw.githubusercontent.com/fedhere/scratch/main/data/grb_metallicities.tsv'\n",
        "#url += 'grb_metallicities.tsv?token=GHSAT0AAAAAACG3N4767GAE37XYT3KPUX6WZJAEKVA'\n",
        "grb = pd.read_csv(url, sep='\\t',\n",
        "            skiprows=1, header=None,   na_values=['-'],\n",
        "            names=[\"SN\", \"D31\", \"D13m\", \"D13p\", \"KD02comb\",\n",
        "                   \"KD02m\", \"KD02p\", \"PP04\", \"PP04m\",\n",
        "                   \"PP04p\", \"M08\", \"M08m\", \"M08p\",\n",
        "                   \"Emv\", \"mvm\", \"mvp\", \"M13\", \"M13m\", \"M13p\"])\n",
        "grb.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                       SN    D31   D13m   D13p  KD02comb  KD02m  KD02p   PP04  \\\n",
              "0      GRB980425/SN1998bw  8.320  0.072  0.066     8.485  0.049  0.068  8.329   \n",
              "1               XRF020903  8.007  0.111  0.083     8.183  0.045  0.252  8.016   \n",
              "2      GRB030329/SN2003dh  7.485  0.051  0.081     8.073  0.018  0.019  7.927   \n",
              "3      GRB031203/SN2003lw    NaN    NaN    NaN     8.647  0.082  0.069  8.066   \n",
              "4  GRB/XRF060218/SN2006aj  8.357  0.020  0.021     8.125  0.006  0.007  8.125   \n",
              "\n",
              "   PP04m  PP04p    M08   M08m   M08p    Emv    mvm    mvp    M13   M13m   M13p  \n",
              "0  0.025  0.024  8.550  0.049  0.046  0.743  0.150  0.143  8.265  0.017  0.016  \n",
              "1  0.019  0.018  8.068  0.058  0.049  0.059  0.035  0.035    NaN    NaN    NaN  \n",
              "2  0.091  0.057  7.584  0.210  0.183  0.100  0.019  0.018    NaN    NaN    NaN  \n",
              "3  0.016  0.017  8.282  0.037  0.038  0.347  0.098  0.097    NaN    NaN    NaN  \n",
              "4  0.004  0.004  8.194  0.011  0.011  0.000  0.000  0.007    NaN    NaN    NaN  "
            ],
            "text/html": [
              "\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>SN</th>\n",
              "      <th>D31</th>\n",
              "      <th>D13m</th>\n",
              "      <th>D13p</th>\n",
              "      <th>KD02comb</th>\n",
              "      <th>KD02m</th>\n",
              "      <th>KD02p</th>\n",
              "      <th>PP04</th>\n",
              "      <th>PP04m</th>\n",
              "      <th>PP04p</th>\n",
              "      <th>M08</th>\n",
              "      <th>M08m</th>\n",
              "      <th>M08p</th>\n",
              "      <th>Emv</th>\n",
              "      <th>mvm</th>\n",
              "      <th>mvp</th>\n",
              "      <th>M13</th>\n",
              "      <th>M13m</th>\n",
              "      <th>M13p</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>GRB980425/SN1998bw</td>\n",
              "      <td>8.320</td>\n",
              "      <td>0.072</td>\n",
              "      <td>0.066</td>\n",
              "      <td>8.485</td>\n",
              "      <td>0.049</td>\n",
              "      <td>0.068</td>\n",
              "      <td>8.329</td>\n",
              "      <td>0.025</td>\n",
              "      <td>0.024</td>\n",
              "      <td>8.550</td>\n",
              "      <td>0.049</td>\n",
              "      <td>0.046</td>\n",
              "      <td>0.743</td>\n",
              "      <td>0.150</td>\n",
              "      <td>0.143</td>\n",
              "      <td>8.265</td>\n",
              "      <td>0.017</td>\n",
              "      <td>0.016</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>XRF020903</td>\n",
              "      <td>8.007</td>\n",
              "      <td>0.111</td>\n",
              "      <td>0.083</td>\n",
              "      <td>8.183</td>\n",
              "      <td>0.045</td>\n",
              "      <td>0.252</td>\n",
              "      <td>8.016</td>\n",
              "      <td>0.019</td>\n",
              "      <td>0.018</td>\n",
              "      <td>8.068</td>\n",
              "      <td>0.058</td>\n",
              "      <td>0.049</td>\n",
              "      <td>0.059</td>\n",
              "      <td>0.035</td>\n",
              "      <td>0.035</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>GRB030329/SN2003dh</td>\n",
              "      <td>7.485</td>\n",
              "      <td>0.051</td>\n",
              "      <td>0.081</td>\n",
              "      <td>8.073</td>\n",
              "      <td>0.018</td>\n",
              "      <td>0.019</td>\n",
              "      <td>7.927</td>\n",
              "      <td>0.091</td>\n",
              "      <td>0.057</td>\n",
              "      <td>7.584</td>\n",
              "      <td>0.210</td>\n",
              "      <td>0.183</td>\n",
              "      <td>0.100</td>\n",
              "      <td>0.019</td>\n",
              "      <td>0.018</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>GRB031203/SN2003lw</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>8.647</td>\n",
              "      <td>0.082</td>\n",
              "      <td>0.069</td>\n",
              "      <td>8.066</td>\n",
              "      <td>0.016</td>\n",
              "      <td>0.017</td>\n",
              "      <td>8.282</td>\n",
              "      <td>0.037</td>\n",
              "      <td>0.038</td>\n",
              "      <td>0.347</td>\n",
              "      <td>0.098</td>\n",
              "      <td>0.097</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>GRB/XRF060218/SN2006aj</td>\n",
              "      <td>8.357</td>\n",
              "      <td>0.020</td>\n",
              "      <td>0.021</td>\n",
              "      <td>8.125</td>\n",
              "      <td>0.006</td>\n",
              "      <td>0.007</td>\n",
              "      <td>8.125</td>\n",
              "      <td>0.004</td>\n",
              "      <td>0.004</td>\n",
              "      <td>8.194</td>\n",
              "      <td>0.011</td>\n",
              "      <td>0.011</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.007</td>\n",
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              "      <td>NaN</td>\n",
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              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-42527f08-b577-4079-b09c-95b8f4825669')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-42527f08-b577-4079-b09c-95b8f4825669 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-42527f08-b577-4079-b09c-95b8f4825669');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-bae37c43-0263-4a3b-951b-5f3577677363\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-bae37c43-0263-4a3b-951b-5f3577677363')\"\n",
              "            title=\"Suggest charts.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-bae37c43-0263-4a3b-951b-5f3577677363 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 82
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-10-08T07:41:00.545996Z",
          "start_time": "2019-10-08T07:41:00.540206Z"
        },
        "id": "NLpDQIvQY2ky"
      },
      "source": [
        "#delete\n",
        "grb.drop([\"D31\", \"D13m\", \"D13p\", \"KD02m\", \"KD02p\", \"PP04\", \"PP04m\",\n",
        "                   \"PP04p\", \"M08\", \"M08m\", \"M08p\",\n",
        "                   \"Emv\", \"mvm\", \"mvp\", \"M13\", \"M13m\", \"M13p\"],\n",
        "         axis=1, inplace=True)\n",
        "grb.dropna(inplace=True)\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-10-08T07:41:00.554244Z",
          "start_time": "2019-10-08T07:41:00.547733Z"
        },
        "id": "RsYVHBbPY2kz",
        "outputId": "4e4cee8c-79c1-4e8f-a74a-357800d75b9c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        }
      },
      "source": [
        "grb.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                       SN  KD02comb\n",
              "0      GRB980425/SN1998bw     8.485\n",
              "1               XRF020903     8.183\n",
              "2      GRB030329/SN2003dh     8.073\n",
              "3      GRB031203/SN2003lw     8.647\n",
              "4  GRB/XRF060218/SN2006aj     8.125"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-3e6bfd0d-7567-4c0e-be1a-29d81f4a6d04\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>SN</th>\n",
              "      <th>KD02comb</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>GRB980425/SN1998bw</td>\n",
              "      <td>8.485</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>XRF020903</td>\n",
              "      <td>8.183</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>GRB030329/SN2003dh</td>\n",
              "      <td>8.073</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>GRB031203/SN2003lw</td>\n",
              "      <td>8.647</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>GRB/XRF060218/SN2006aj</td>\n",
              "      <td>8.125</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-3e6bfd0d-7567-4c0e-be1a-29d81f4a6d04')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-3e6bfd0d-7567-4c0e-be1a-29d81f4a6d04 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-3e6bfd0d-7567-4c0e-be1a-29d81f4a6d04');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-b1871ef9-a4be-4177-bf26-6e976a89bfb3\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-b1871ef9-a4be-4177-bf26-6e976a89bfb3')\"\n",
              "            title=\"Suggest charts.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-b1871ef9-a4be-4177-bf26-6e976a89bfb3 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 84
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-10-08T07:41:00.560854Z",
          "start_time": "2019-10-08T07:41:00.556485Z"
        },
        "id": "kCUwoJSvY2k1"
      },
      "source": [
        "#delete\n",
        "grb.to_csv(\"grb_clean.csv\", index=False)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-10-08T07:41:00.719074Z",
          "start_time": "2019-10-08T07:41:00.562914Z"
        },
        "id": "yxry_8icY2k3",
        "outputId": "17d3671b-65dd-45b9-927b-11da564b161b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        }
      },
      "source": [
        "#using solution\n",
        "sne = pd.read_csv(\"https://raw.githubusercontent.com/fedhere/scratch/main/data/sne_clean.csv\")\n",
        "grb = pd.read_csv(\"https://raw.githubusercontent.com/fedhere/scratch/main/data/grb_clean.csv\")\n",
        "grb.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                       SN  KD02comb\n",
              "0      GRB980425/SN1998bw     8.485\n",
              "1               XRF020903     8.183\n",
              "2      GRB030329/SN2003dh     8.073\n",
              "3      GRB031203/SN2003lw     8.647\n",
              "4  GRB/XRF060218/SN2006aj     8.125"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-d14a0c84-b132-4f84-bad9-bb5346515eda\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>SN</th>\n",
              "      <th>KD02comb</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>GRB980425/SN1998bw</td>\n",
              "      <td>8.485</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>XRF020903</td>\n",
              "      <td>8.183</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>GRB030329/SN2003dh</td>\n",
              "      <td>8.073</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>GRB031203/SN2003lw</td>\n",
              "      <td>8.647</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>GRB/XRF060218/SN2006aj</td>\n",
              "      <td>8.125</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-d14a0c84-b132-4f84-bad9-bb5346515eda')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-d14a0c84-b132-4f84-bad9-bb5346515eda button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-d14a0c84-b132-4f84-bad9-bb5346515eda');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-ddba995a-c8df-43a0-935b-cd35daa19633\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-ddba995a-c8df-43a0-935b-cd35daa19633')\"\n",
              "            title=\"Suggest charts.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-ddba995a-c8df-43a0-935b-cd35daa19633 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 86
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-10-08T07:41:00.723672Z",
          "start_time": "2019-10-08T07:41:00.720784Z"
        },
        "id": "Iq5rfzoMY2k6",
        "outputId": "1db2ae7f-ecbd-4659-b7e1-3a0c140136af",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        }
      },
      "source": [
        "#leave\n",
        "sne.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      SN  KD02comb\n",
              "0   09ps     8.347\n",
              "1  10gvb     8.280\n",
              "2  10svt     8.479\n",
              "3  12gzk     7.943\n",
              "4  12hni     8.457"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-4d97c889-df16-44ce-b8f4-d673b8954648\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>SN</th>\n",
              "      <th>KD02comb</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>09ps</td>\n",
              "      <td>8.347</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>10gvb</td>\n",
              "      <td>8.280</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>10svt</td>\n",
              "      <td>8.479</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>12gzk</td>\n",
              "      <td>7.943</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>12hni</td>\n",
              "      <td>8.457</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-4d97c889-df16-44ce-b8f4-d673b8954648')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-4d97c889-df16-44ce-b8f4-d673b8954648 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-4d97c889-df16-44ce-b8f4-d673b8954648');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-e6162bd3-6458-4185-8500-a8520ef05002\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-e6162bd3-6458-4185-8500-a8520ef05002')\"\n",
              "            title=\"Suggest charts.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-e6162bd3-6458-4185-8500-a8520ef05002 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 87
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sne.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Z4F9lUUI7sef",
        "outputId": "5e2075c3-fba5-4aec-abd8-3667928808a1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(47, 2)"
            ]
          },
          "metadata": {},
          "execution_count": 88
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-10-08T07:41:00.727372Z",
          "start_time": "2019-10-08T07:41:00.724899Z"
        },
        "id": "IEB_1tlMY2k7",
        "outputId": "d465001c-bea0-446d-f971-750acba2c88e",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "#leave\n",
        "grb.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(11, 2)"
            ]
          },
          "metadata": {},
          "execution_count": 89
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "S7OcTSyhY2k9"
      },
      "source": [
        "# 3 Read in the classification of Ic and Ic-BL explosions and process it to extract the SN name\n",
        "\n",
        "Modify the SN name column to be consistent with the name column in the SNe file\n",
        "\n",
        "[hint](https://docs.google.com/document/d/1V9PVb6tK0yuCSTyCILkKXZD9--5PVIvhKDPZIiREdtQ/edit#heading=h.isi30wsuhrhc)\n",
        "\n",
        "You can get the solution at http://fbb.space/dsps/SNtype.csv\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-10-08T07:41:00.942813Z",
          "start_time": "2019-10-08T07:41:00.728468Z"
        },
        "id": "vr__96LeY2k9",
        "outputId": "123284fa-7fde-4e7e-e968-484495a49974",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 237
        }
      },
      "source": [
        "#delete\n",
        "url = \"https://raw.githubusercontent.com/fedhere/scratch/main/data/SNinfo_072617.txt\"\n",
        "SNtypes = pd.read_csv(url, skiprows=4,\n",
        "            delim_whitespace=True,\n",
        "              header=None, index_col=0,\n",
        "           names=['galnum', 'PTFname_region', 'SNtype'])\n",
        "SNtypes.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "              PTFname_region SNtype\n",
              "galnum                             \n",
              "1       PTF10xem-host-SNsite  Ic-BL\n",
              "2       PTF10wal-host-SNsite     Ic\n",
              "3         PTF09iqd-host-HII3     Ic\n",
              "4       PTF10xik-host-SNsite     Ic\n",
              "5       PTF10ood-host-SNsite     Ic"
            ],
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>PTFname_region</th>\n",
              "      <th>SNtype</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>galnum</th>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>PTF10xem-host-SNsite</td>\n",
              "      <td>Ic-BL</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>PTF10wal-host-SNsite</td>\n",
              "      <td>Ic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>PTF09iqd-host-HII3</td>\n",
              "      <td>Ic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>PTF10xik-host-SNsite</td>\n",
              "      <td>Ic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>PTF10ood-host-SNsite</td>\n",
              "      <td>Ic</td>\n",
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              "        document.querySelector('#df-3100cedd-348d-4679-a9a3-7be19dfe0fcd button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-3100cedd-348d-4679-a9a3-7be19dfe0fcd');\n",
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              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
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              "          + ' to learn more about interactive tables.';\n",
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              "\n",
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              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
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              "      try {\n",
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          },
          "metadata": {},
          "execution_count": 90
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def fixname(name):\n",
        "  return name.split(\"-\")[0].replace(\"PTF\", \"\")"
      ],
      "metadata": {
        "id": "C-nOfUVzaoZI"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-10-08T07:41:00.951954Z",
          "start_time": "2019-10-08T07:41:00.943945Z"
        },
        "id": "C5CPAHZgY2k_"
      },
      "source": [
        "#delete\n",
        "SNtypes[\"name\"] = SNtypes[\"PTFname_region\"].map(fixname)\n",
        "SNtypes.drop(\"PTFname_region\", axis=1, inplace=True)\n",
        "SNtypes.to_csv(\"SNtype.csv\")"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-10-08T07:41:00.958608Z",
          "start_time": "2019-10-08T07:41:00.952952Z"
        },
        "id": "G7lTWyrlY2lA",
        "outputId": "b3f7c8b8-3007-4a2c-b588-07c4b39d54c0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 237
        }
      },
      "source": [
        "SNtypes.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       SNtype   name\n",
              "galnum              \n",
              "1       Ic-BL  10xem\n",
              "2          Ic  10wal\n",
              "3          Ic  09iqd\n",
              "4          Ic  10xik\n",
              "5          Ic  10ood"
            ],
            "text/html": [
              "\n",
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              "      <th></th>\n",
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              "      <th>1</th>\n",
              "      <td>Ic-BL</td>\n",
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              "    <tr>\n",
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              "      <td>Ic</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Ic</td>\n",
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              "      <th>4</th>\n",
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              "      <td>10xik</td>\n",
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              "    <tr>\n",
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              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-6e980b67-9998-49d5-8ba3-86692fece0b9')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-6e980b67-9998-49d5-8ba3-86692fece0b9 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-6e980b67-9998-49d5-8ba3-86692fece0b9');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-73775b17-6762-4aed-8d7f-2f5ba2e5f0f6\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-73775b17-6762-4aed-8d7f-2f5ba2e5f0f6')\"\n",
              "            title=\"Suggest charts.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-73775b17-6762-4aed-8d7f-2f5ba2e5f0f6 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 93
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-10-08T07:41:01.023954Z",
          "start_time": "2019-10-08T07:41:00.960065Z"
        },
        "id": "FHxaPDk8Y2lC",
        "outputId": "73ebff86-c7b6-4a64-afe3-fe6d54cf1900",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 237
        }
      },
      "source": [
        "#delete\n",
        "SNtypes = pd.read_csv(\"https://raw.githubusercontent.com/fedhere/scratch/main/data/SNtype.csv\",\n",
        "                      index_col=\"galnum\")\n",
        "SNtypes.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       SNtype   name\n",
              "galnum              \n",
              "1       Ic-BL  10xem\n",
              "2          Ic  10wal\n",
              "3          Ic  09iqd\n",
              "4          Ic  10xik\n",
              "5          Ic  10ood"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-1d94c082-2e89-49f9-b19a-f98d520e08a2\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>SNtype</th>\n",
              "      <th>name</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>galnum</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Ic-BL</td>\n",
              "      <td>10xem</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Ic</td>\n",
              "      <td>10wal</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Ic</td>\n",
              "      <td>09iqd</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Ic</td>\n",
              "      <td>10xik</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Ic</td>\n",
              "      <td>10ood</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-1d94c082-2e89-49f9-b19a-f98d520e08a2')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-1d94c082-2e89-49f9-b19a-f98d520e08a2 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-1d94c082-2e89-49f9-b19a-f98d520e08a2');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-73b3ff27-cbf9-411a-9e2e-0a56921892dd\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-73b3ff27-cbf9-411a-9e2e-0a56921892dd')\"\n",
              "            title=\"Suggest charts.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-73b3ff27-cbf9-411a-9e2e-0a56921892dd button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 94
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "YRZAUpEEY2lD"
      },
      "source": [
        "# 4 Merge the metallicity and classification files\n",
        "\n",
        "Merge the SN names and SN metallicity files based on the SN name\n",
        "\n",
        "[hints](https://docs.google.com/document/d/1V9PVb6tK0yuCSTyCILkKXZD9--5PVIvhKDPZIiREdtQ/edit#heading=h.vu3ga15gdvc0)\n",
        "\n",
        "You can get the solution at this url: https://github.com/fedhere/scratch/blob/main/data/SNmetallicity_final.csv\n"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sne.head()"
      ],
      "metadata": {
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        "outputId": "fe4883c8-0a54-4cee-ad47-0f3d33f24226"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      SN  KD02comb\n",
              "0   09ps     8.347\n",
              "1  10gvb     8.280\n",
              "2  10svt     8.479\n",
              "3  12gzk     7.943\n",
              "4  12hni     8.457"
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              "    60% {\n",
              "      border-color: transparent;\n",
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              "    80% {\n",
              "      border-color: transparent;\n",
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              "\n",
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              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
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              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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          },
          "metadata": {},
          "execution_count": 95
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      ]
    },
    {
      "cell_type": "code",
      "source": [
        "SNtypes.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 237
        },
        "id": "WoQFmCLRiXcx",
        "outputId": "12390677-764a-4375-a044-8aac0b4f3702"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       SNtype   name\n",
              "galnum              \n",
              "1       Ic-BL  10xem\n",
              "2          Ic  10wal\n",
              "3          Ic  09iqd\n",
              "4          Ic  10xik\n",
              "5          Ic  10ood"
            ],
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              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
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              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
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              "    40% {\n",
              "      border-color: transparent;\n",
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              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
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              "    }\n",
              "  }\n",
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              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-50a491fb-e803-4d09-8741-aa5f2a1cd65d button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 96
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sne.merge?"
      ],
      "metadata": {
        "id": "eYfIcoIi2-H7"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#newdf = sne.merge(SNtypes)"
      ],
      "metadata": {
        "id": "ucsXOmkR232t"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "SNtypes.columns"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Zgi6bm9Q3KNB",
        "outputId": "dc119bc7-ae2b-48e7-c12f-4e9bdb18efd1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['SNtype', 'name'], dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 99
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-10-08T07:41:01.035745Z",
          "start_time": "2019-10-08T07:41:01.026045Z"
        },
        "id": "TvaeMlNdY2lD"
      },
      "source": [
        "#delete\n",
        "sneall = sne.merge(SNtypes, left_on=\"SN\", right_on=\"name\")\n",
        "sneall.drop(\"name\", axis=1, inplace=True)\n",
        "sneall.to_csv(\"SNmetallicity_final.csv\", index=False)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "SNtypes.rename({\"name\":\"SN\"}, axis=\"columns\", inplace=True)"
      ],
      "metadata": {
        "id": "JvLpCzL8ieYW"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "SNtypes.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 237
        },
        "id": "GFMTW6PairV3",
        "outputId": "074556a8-c854-4cdd-879d-d1b7827e5701"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       SNtype     SN\n",
              "galnum              \n",
              "1       Ic-BL  10xem\n",
              "2          Ic  10wal\n",
              "3          Ic  09iqd\n",
              "4          Ic  10xik\n",
              "5          Ic  10ood"
            ],
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              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
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              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
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              "        element.innerHTML = '';\n",
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              "\n",
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              "\n",
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              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
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              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
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              "    30% {\n",
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              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
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              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
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              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 102
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sne.merge(SNtypes)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "HtNThTRXiaLo",
        "outputId": "98e614fb-64e3-4962-8eac-e0c2ff9ef574"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "        SN  KD02comb     SNtype\n",
              "0     09ps     8.347  uncertain\n",
              "1    10gvb     8.280  uncertain\n",
              "2    10svt     8.479  uncertain\n",
              "3    12gzk     7.943  uncertain\n",
              "4    12hni     8.457  uncertain\n",
              "5     09sk     8.486      Ic-BL\n",
              "6   10aavz     8.631      Ic-BL\n",
              "7    10bzf     8.625      Ic-BL\n",
              "8    10ciw     8.572      Ic-BL\n",
              "9    10qts     8.033      Ic-BL\n",
              "10   10tqv     8.168      Ic-BL\n",
              "11   10vgv     8.811      Ic-BL\n",
              "12   10xem     8.075      Ic-BL\n",
              "13   11cmh     8.524      Ic-BL\n",
              "14   11gcj     8.229      Ic-BL\n",
              "15   11img     8.475      Ic-BL\n",
              "16   11lbm     8.280      Ic-BL\n",
              "17   11qcj     8.425      Ic-BL\n",
              "18    12as     8.562      Ic-BL\n",
              "19   09iqd     8.802         Ic\n",
              "20   10bhu     8.751         Ic\n",
              "21   10fmx     8.812         Ic\n",
              "22   10hfe     8.787         Ic\n",
              "23   10hie     8.108         Ic\n",
              "24   10lbo     8.853         Ic\n",
              "25   10ood     8.541         Ic\n",
              "26   10osn     8.828         Ic\n",
              "27   10qqd     8.818         Ic\n",
              "28   10tqi     8.827         Ic\n",
              "29   10wal     8.884         Ic\n",
              "30   10xik     8.479         Ic\n",
              "31   10yow     9.181         Ic\n",
              "32   10ysd     9.136         Ic\n",
              "33   10zcn     8.986         Ic\n",
              "34   11bov     8.402         Ic\n",
              "35   11hyg     9.046         Ic\n",
              "36   11ixk     8.922         Ic\n",
              "37   11jgj     8.835         Ic\n",
              "38   11klg     9.087         Ic\n",
              "39   11rka     7.977         Ic\n",
              "40   12cjy     9.055         Ic\n",
              "41   12dcp     8.669         Ic\n",
              "42   12dtf     8.384         Ic\n",
              "43   12fgw     8.861         Ic\n",
              "44   12hvv     8.759         Ic\n",
              "45   12jxd     8.912         Ic\n",
              "46   12ktu     9.099         Ic"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-39920cdb-9674-4393-bc53-1d656836e45f\" class=\"colab-df-container\">\n",
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              "      <th></th>\n",
              "      <th>SN</th>\n",
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              "      <th>SNtype</th>\n",
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              "      <th>0</th>\n",
              "      <td>09ps</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>10gvb</td>\n",
              "      <td>8.280</td>\n",
              "      <td>uncertain</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>10svt</td>\n",
              "      <td>8.479</td>\n",
              "      <td>uncertain</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>12gzk</td>\n",
              "      <td>7.943</td>\n",
              "      <td>uncertain</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>12hni</td>\n",
              "      <td>8.457</td>\n",
              "      <td>uncertain</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>09sk</td>\n",
              "      <td>8.486</td>\n",
              "      <td>Ic-BL</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>10aavz</td>\n",
              "      <td>8.631</td>\n",
              "      <td>Ic-BL</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>10bzf</td>\n",
              "      <td>8.625</td>\n",
              "      <td>Ic-BL</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>10ciw</td>\n",
              "      <td>8.572</td>\n",
              "      <td>Ic-BL</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>10qts</td>\n",
              "      <td>8.033</td>\n",
              "      <td>Ic-BL</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>10tqv</td>\n",
              "      <td>8.168</td>\n",
              "      <td>Ic-BL</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>10vgv</td>\n",
              "      <td>8.811</td>\n",
              "      <td>Ic-BL</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>10xem</td>\n",
              "      <td>8.075</td>\n",
              "      <td>Ic-BL</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>11cmh</td>\n",
              "      <td>8.524</td>\n",
              "      <td>Ic-BL</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>11gcj</td>\n",
              "      <td>8.229</td>\n",
              "      <td>Ic-BL</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>11img</td>\n",
              "      <td>8.475</td>\n",
              "      <td>Ic-BL</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>11lbm</td>\n",
              "      <td>8.280</td>\n",
              "      <td>Ic-BL</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>11qcj</td>\n",
              "      <td>8.425</td>\n",
              "      <td>Ic-BL</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>12as</td>\n",
              "      <td>8.562</td>\n",
              "      <td>Ic-BL</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>09iqd</td>\n",
              "      <td>8.802</td>\n",
              "      <td>Ic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>10bhu</td>\n",
              "      <td>8.751</td>\n",
              "      <td>Ic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>10fmx</td>\n",
              "      <td>8.812</td>\n",
              "      <td>Ic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>10hfe</td>\n",
              "      <td>8.787</td>\n",
              "      <td>Ic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>10hie</td>\n",
              "      <td>8.108</td>\n",
              "      <td>Ic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>10lbo</td>\n",
              "      <td>8.853</td>\n",
              "      <td>Ic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>10ood</td>\n",
              "      <td>8.541</td>\n",
              "      <td>Ic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>10osn</td>\n",
              "      <td>8.828</td>\n",
              "      <td>Ic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>10qqd</td>\n",
              "      <td>8.818</td>\n",
              "      <td>Ic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>10tqi</td>\n",
              "      <td>8.827</td>\n",
              "      <td>Ic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>10wal</td>\n",
              "      <td>8.884</td>\n",
              "      <td>Ic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>30</th>\n",
              "      <td>10xik</td>\n",
              "      <td>8.479</td>\n",
              "      <td>Ic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>31</th>\n",
              "      <td>10yow</td>\n",
              "      <td>9.181</td>\n",
              "      <td>Ic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>32</th>\n",
              "      <td>10ysd</td>\n",
              "      <td>9.136</td>\n",
              "      <td>Ic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>33</th>\n",
              "      <td>10zcn</td>\n",
              "      <td>8.986</td>\n",
              "      <td>Ic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>34</th>\n",
              "      <td>11bov</td>\n",
              "      <td>8.402</td>\n",
              "      <td>Ic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>35</th>\n",
              "      <td>11hyg</td>\n",
              "      <td>9.046</td>\n",
              "      <td>Ic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>36</th>\n",
              "      <td>11ixk</td>\n",
              "      <td>8.922</td>\n",
              "      <td>Ic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>37</th>\n",
              "      <td>11jgj</td>\n",
              "      <td>8.835</td>\n",
              "      <td>Ic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>38</th>\n",
              "      <td>11klg</td>\n",
              "      <td>9.087</td>\n",
              "      <td>Ic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>39</th>\n",
              "      <td>11rka</td>\n",
              "      <td>7.977</td>\n",
              "      <td>Ic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>40</th>\n",
              "      <td>12cjy</td>\n",
              "      <td>9.055</td>\n",
              "      <td>Ic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>41</th>\n",
              "      <td>12dcp</td>\n",
              "      <td>8.669</td>\n",
              "      <td>Ic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>42</th>\n",
              "      <td>12dtf</td>\n",
              "      <td>8.384</td>\n",
              "      <td>Ic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>43</th>\n",
              "      <td>12fgw</td>\n",
              "      <td>8.861</td>\n",
              "      <td>Ic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>44</th>\n",
              "      <td>12hvv</td>\n",
              "      <td>8.759</td>\n",
              "      <td>Ic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>45</th>\n",
              "      <td>12jxd</td>\n",
              "      <td>8.912</td>\n",
              "      <td>Ic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>46</th>\n",
              "      <td>12ktu</td>\n",
              "      <td>9.099</td>\n",
              "      <td>Ic</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
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              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
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              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
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              "    0% {\n",
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              "      border-right-color: var(--fill-color);\n",
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              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
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              "      border-bottom-color: var(--fill-color);\n",
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              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-a476a6ae-1b68-471f-a6b9-0bb944dcb331 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
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              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 103
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-10-08T07:41:01.044087Z",
          "start_time": "2019-10-08T07:41:01.037066Z"
        },
        "id": "GVfeyN0FY2lF",
        "outputId": "9b0befb7-7357-4032-8814-46588ed6ce52",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        }
      },
      "source": [
        "sneall.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      SN  KD02comb     SNtype\n",
              "0   09ps     8.347  uncertain\n",
              "1  10gvb     8.280  uncertain\n",
              "2  10svt     8.479  uncertain\n",
              "3  12gzk     7.943  uncertain\n",
              "4  12hni     8.457  uncertain"
            ],
            "text/html": [
              "\n",
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              "      <th></th>\n",
              "      <th>SN</th>\n",
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              "      <th>SNtype</th>\n",
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              "  <tbody>\n",
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              "      <th>0</th>\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-d8c53b6c-57ab-4d3e-b24a-cbeb3cf7a7a9 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-d8c53b6c-57ab-4d3e-b24a-cbeb3cf7a7a9');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-9f0d3d2b-7a67-4184-8ec6-781c2f5660ba\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-9f0d3d2b-7a67-4184-8ec6-781c2f5660ba')\"\n",
              "            title=\"Suggest charts.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-9f0d3d2b-7a67-4184-8ec6-781c2f5660ba button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 104
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-10-08T07:41:01.111208Z",
          "start_time": "2019-10-08T07:41:01.046041Z"
        },
        "id": "q4D0FfqbY2lH",
        "outputId": "75671e06-b579-41dc-9d1e-1940d4331575",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        }
      },
      "source": [
        "#delete\n",
        "sneall = pd.read_csv(\"https://raw.githubusercontent.com/fedhere/scratch/main/data/SNmetallicity_final.csv\")\n",
        "sneall.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      SN  KD02comb     SNtype\n",
              "0   09ps     8.347  uncertain\n",
              "1  10gvb     8.280  uncertain\n",
              "2  10svt     8.479  uncertain\n",
              "3  12gzk     7.943  uncertain\n",
              "4  12hni     8.457  uncertain"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-56a75bf3-c203-45f4-ae67-daa61aefd982\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>SN</th>\n",
              "      <th>KD02comb</th>\n",
              "      <th>SNtype</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>09ps</td>\n",
              "      <td>8.347</td>\n",
              "      <td>uncertain</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>10gvb</td>\n",
              "      <td>8.280</td>\n",
              "      <td>uncertain</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>10svt</td>\n",
              "      <td>8.479</td>\n",
              "      <td>uncertain</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>12gzk</td>\n",
              "      <td>7.943</td>\n",
              "      <td>uncertain</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>12hni</td>\n",
              "      <td>8.457</td>\n",
              "      <td>uncertain</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-56a75bf3-c203-45f4-ae67-daa61aefd982')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-56a75bf3-c203-45f4-ae67-daa61aefd982 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-56a75bf3-c203-45f4-ae67-daa61aefd982');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-826807c2-4c87-42f6-8498-7954c8a5b101\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-826807c2-4c87-42f6-8498-7954c8a5b101')\"\n",
              "            title=\"Suggest charts.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-826807c2-4c87-42f6-8498-7954c8a5b101 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 105
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "IeYzplkXY2lK"
      },
      "source": [
        "# 5 Define the 3 samples GRB, IcBL, and Ic\n",
        "\n",
        "Split the SN sample so that you have 2 dataframes: snIc and snIcBL\n",
        "\n",
        "[hint](https://docs.google.com/document/d/1V9PVb6tK0yuCSTyCILkKXZD9--5PVIvhKDPZIiREdtQ/edit#heading=h.bojijnl6aiq5)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-10-08T07:41:01.116906Z",
          "start_time": "2019-10-08T07:41:01.112471Z"
        },
        "id": "lOmeW425Y2lK"
      },
      "source": [
        "#delete\n",
        "snIc = sneall[sneall.SNtype == \"Ic\"]\n",
        "snIcBL = sneall[sneall.SNtype == \"Ic-BL\"]\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-10-08T07:41:01.125528Z",
          "start_time": "2019-10-08T07:41:01.118588Z"
        },
        "id": "BGacAy1RY2lN",
        "outputId": "60734aa2-72c2-46a6-8010-ec6bf8ba452c",
        "colab": {
          "base_uri": "https://localhost:8080/",
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      "source": [
        "snIc.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       SN  KD02comb SNtype\n",
              "19  09iqd     8.802     Ic\n",
              "20  10bhu     8.751     Ic\n",
              "21  10fmx     8.812     Ic\n",
              "22  10hfe     8.787     Ic\n",
              "23  10hie     8.108     Ic"
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              "      <th>23</th>\n",
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              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "      async function convertToInteractive(key) {\n",
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              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
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              "\n",
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              "    background-color: var(--disabled-bg-color);\n",
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              "\n",
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              "      spin 1s steps(1) infinite;\n",
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              "\n",
              "  @keyframes spin {\n",
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              "      border-color: transparent;\n",
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              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
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              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
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              "\n",
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              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-8d906f17-d59e-44d5-8c34-a1d878a25e66 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 107
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-10-08T07:41:01.129816Z",
          "start_time": "2019-10-08T07:41:01.126582Z"
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        "id": "MNIcfKhyY2lP",
        "outputId": "d7ff7ab5-e651-40b9-d61d-6581c4c41650",
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      "source": [
        "snIc.shape"
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      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(28, 3)"
            ]
          },
          "metadata": {},
          "execution_count": 108
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-10-08T07:41:01.137728Z",
          "start_time": "2019-10-08T07:41:01.131285Z"
        },
        "id": "qRHq63FVY2lR",
        "outputId": "77ce53f7-5115-43fb-b1be-fd91c0a203af",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        }
      },
      "source": [
        "snIcBL.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       SN  KD02comb SNtype\n",
              "5    09sk     8.486  Ic-BL\n",
              "6  10aavz     8.631  Ic-BL\n",
              "7   10bzf     8.625  Ic-BL\n",
              "8   10ciw     8.572  Ic-BL\n",
              "9   10qts     8.033  Ic-BL"
            ],
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              "\n",
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              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "\n",
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              "        document.querySelector('#df-cc445d39-1334-440b-968d-bb58f7442d88 button.colab-df-convert');\n",
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              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-cc445d39-1334-440b-968d-bb58f7442d88');\n",
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              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
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              "</div>\n",
              "    </div>\n",
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            ]
          },
          "metadata": {},
          "execution_count": 109
        }
      ]
    },
    {
      "cell_type": "code",
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        "ExecuteTime": {
          "end_time": "2019-10-08T07:41:01.144204Z",
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        },
        "id": "XvHBkZVdY2lT",
        "outputId": "a5948edd-1dd5-48dc-c307-42c4163bb228",
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          "base_uri": "https://localhost:8080/"
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      },
      "source": [
        "snIcBL.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(14, 3)"
            ]
          },
          "metadata": {},
          "execution_count": 110
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JGSneWxxY2lU"
      },
      "source": [
        "# 6 Create a second \"abridged\" GRB sample by removing uncertain classifications\n",
        "\n",
        "The classification of SN 2013dx ('13dx') is uncertain: remove it from the grb sample to create an \"abridged\" sample (saving the original sample as well)\n",
        "\n",
        "You can get help [here](https://docs.google.com/document/d/1V9PVb6tK0yuCSTyCILkKXZD9--5PVIvhKDPZIiREdtQ/edit#heading=h.e1jtfsuajcdv)\n"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "mask = grb['SN'] != '13dx'\n",
        "\n",
        "# Apply the mask to filter out rows where 'SN' is '13dx'\n",
        "grbabridged = grb[mask]\n",
        "\n",
        "# Display the resulting DataFrame without the rows where 'SN' is '13dx'\n",
        "grbabridged.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "jxqKvuMTVQrN",
        "outputId": "8ad71a5e-be9a-4039-813c-83d87fd64588"
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      "execution_count": null,
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        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                       SN  KD02comb\n",
              "0      GRB980425/SN1998bw     8.485\n",
              "1               XRF020903     8.183\n",
              "2      GRB030329/SN2003dh     8.073\n",
              "3      GRB031203/SN2003lw     8.647\n",
              "4  GRB/XRF060218/SN2006aj     8.125"
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      "source": [
        "#delete\n",
        "grbul = [SN for SN in grb.SN.values if '13dx' in SN ]\n",
        "grbul\n",
        "grbabridged = grb[~(grb.SN.values == grbul)]"
      ],
      "execution_count": null,
      "outputs": []
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        {
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            "text/plain": [
              "(10, 2)"
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          "metadata": {},
          "execution_count": 114
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    {
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              "                       SN  KD02comb\n",
              "0      GRB980425/SN1998bw     8.485\n",
              "1               XRF020903     8.183\n",
              "2      GRB030329/SN2003dh     8.073\n",
              "3      GRB031203/SN2003lw     8.647\n",
              "4  GRB/XRF060218/SN2006aj     8.125"
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              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-1cb57147-a9cb-4b24-a2d0-fb13782437ff button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-1cb57147-a9cb-4b24-a2d0-fb13782437ff');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-954ca146-65fb-4237-97c1-f7fdfc5c78bd\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-954ca146-65fb-4237-97c1-f7fdfc5c78bd')\"\n",
              "            title=\"Suggest charts.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-954ca146-65fb-4237-97c1-f7fdfc5c78bd button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 115
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "uSkF6icTVCZl"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BrOXoymcYGdo"
      },
      "source": [
        "#### ANALYSIS"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "5l0nkZw_Y2lY"
      },
      "source": [
        "# 7  Plot the distribution of metallicities  for each of the  samples\n",
        "    \n",
        "   \n",
        "\n",
        "[hint](https://docs.google.com/document/d/1V9PVb6tK0yuCSTyCILkKXZD9--5PVIvhKDPZIiREdtQ/edit#heading=h.pwkb8bo4nrla)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-10-08T07:41:01.345173Z",
          "start_time": "2019-10-08T07:41:01.157806Z"
        },
        "id": "yiJ_oXY6Y2lY",
        "outputId": "1741f099-6dc4-467f-fd40-4cfe2272aa2d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 430
        }
      },
      "source": [
        "#delete\n",
        "ax = snIc[\"KD02comb\"].hist(density=1)\n",
        "snIcBL[\"KD02comb\"].hist(alpha=0.5, ax=ax, density=1)\n",
        "grb[\"KD02comb\"].hist(alpha=0.5, ax=ax, density=1);"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#delete\n",
        "ax = snIc[\"KD02comb\"].hist(density=1, cumulative=True, histtype=\"step\")\n",
        "snIcBL[\"KD02comb\"].hist(ax=ax, density=1, cumulative=True,\n",
        "                        histtype=\"step\")\n",
        "grb[\"KD02comb\"].hist(ax=ax, density=1, cumulative=True,\n",
        "                     histtype=\"step\");"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 430
        },
        "id": "CC7ixDYPd4Tc",
        "outputId": "858bd049-f485-458b-bd98-2fcaaedab89a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2MURQWZHY2la"
      },
      "source": [
        "#  8. Calculate the mean metallicity for each of the samples  and its uncertainty\n",
        "\n",
        "Don't just spit out numbers, but properly write what the numbers are in a well formatted statement\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-10-08T07:41:01.354970Z",
          "start_time": "2019-10-08T07:41:01.346292Z"
        },
        "id": "vPwPxQmGY2la",
        "outputId": "6c0a3b25-88c0-4519-9e38-1403b16f9efd",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "print(\" SN Ic metallicity: {:.2f} +/- {:.2f}\".format(snIc[\"KD02comb\"].mean(),\n",
        "                                                 snIc[\"KD02comb\"].std()));"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            " SN Ic metallicity: 8.78 +/- 0.29\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-10-08T07:41:01.364666Z",
          "start_time": "2019-10-08T07:41:01.356716Z"
        },
        "id": "DFK9FqaqY2lb",
        "outputId": "30f650a3-9429-409b-b324-49e4279123eb",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "print(\" SN IcBL metallicity: {:.2f} +/- {:.2f}\".format(snIcBL[\"KD02comb\"].mean(),\n",
        "                                                 snIcBL[\"KD02comb\"].std()))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            " SN IcBL metallicity: 8.42 +/- 0.23\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-10-08T07:41:01.371942Z",
          "start_time": "2019-10-08T07:41:01.366284Z"
        },
        "id": "whNGJMGVY2ld",
        "outputId": "001d24e8-ff77-4940-86a2-fe5e6079b04f",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "print(\" SN GRB metallicity: {:.2f} +/- {:.2f}\".format(grb[\"KD02comb\"].mean(),\n",
        "                                                 grb[\"KD02comb\"].std()))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            " SN GRB metallicity: 8.36 +/- 0.22\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-10-08T07:41:01.378599Z",
          "start_time": "2019-10-08T07:41:01.373432Z"
        },
        "id": "wZwtwPLgY2le",
        "outputId": "e870f323-a1b2-45d5-e873-67a5e6a47331",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "print(\" SN GRB abridged metallicity: {:.2f} +/- {:.2f}\".format(\n",
        "    grbabridged[\"KD02comb\"].mean(), grbabridged[\"KD02comb\"].std()))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            " SN GRB abridged metallicity: 8.38 +/- 0.23\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "RYlnjSc9Y2lf"
      },
      "source": [
        "# 9 Compare the distribution of Ic and IcBL\n",
        "\n",
        "Describe the test you are about to run and why you choose it, and state its Null Hypothesis and weather it is rejected or not.\n",
        "\n",
        "**Extra Credit** define a function that given the 2 samples runs and interprets the test reporting the result automatically. That way you can use it for all sample comparisons\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-10-08T07:41:01.382722Z",
          "start_time": "2019-10-08T07:41:01.380461Z"
        },
        "id": "Ht6EVuUtY2lg"
      },
      "source": [
        "#delete\n",
        "alpha = 0.05"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-10-08T07:41:01.390240Z",
          "start_time": "2019-10-08T07:41:01.384160Z"
        },
        "id": "QB4EEFU4Y2lh",
        "outputId": "a6529b1e-2e63-4280-ae59-938f7481b40f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 394
        }
      },
      "source": [
        "grb"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                        SN  KD02comb\n",
              "0       GRB980425/SN1998bw     8.485\n",
              "1                XRF020903     8.183\n",
              "2       GRB030329/SN2003dh     8.073\n",
              "3       GRB031203/SN2003lw     8.647\n",
              "4   GRB/XRF060218/SN2006aj     8.125\n",
              "5       GRB091127/SN2009nz     8.504\n",
              "6      GRB100316D/SN2010bh     8.460\n",
              "7      GRB120422A/SN2012bz     8.545\n",
              "8      GRB130427A/SN2013cq     8.630\n",
              "9      GRB130702A/SN2013dx     8.207\n",
              "10    GRB161219B/SN2016jca     8.115"
            ],
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              "\n",
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              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>SN</th>\n",
              "      <th>KD02comb</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>GRB980425/SN1998bw</td>\n",
              "      <td>8.485</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>XRF020903</td>\n",
              "      <td>8.183</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>GRB030329/SN2003dh</td>\n",
              "      <td>8.073</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>GRB031203/SN2003lw</td>\n",
              "      <td>8.647</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>GRB/XRF060218/SN2006aj</td>\n",
              "      <td>8.125</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>GRB091127/SN2009nz</td>\n",
              "      <td>8.504</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>GRB100316D/SN2010bh</td>\n",
              "      <td>8.460</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>GRB120422A/SN2012bz</td>\n",
              "      <td>8.545</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>GRB130427A/SN2013cq</td>\n",
              "      <td>8.630</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>GRB130702A/SN2013dx</td>\n",
              "      <td>8.207</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>GRB161219B/SN2016jca</td>\n",
              "      <td>8.115</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
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              "\n",
              "    .colab-df-convert {\n",
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              "      border-radius: 50%;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
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              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-a058e910-b1a5-496f-a28b-2fac2f9d7fd5 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-a058e910-b1a5-496f-a28b-2fac2f9d7fd5');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
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              "\n",
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              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
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              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
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              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
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              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-ac753c84-d25e-4580-a357-039b3d82f545 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 123
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-10-08T07:41:01.396578Z",
          "start_time": "2019-10-08T07:41:01.392091Z"
        },
        "id": "DHmnlvNiY2li"
      },
      "source": [
        "#delete\n",
        "def reject(samp1, samp2, alpha=0.05, verbose=False):\n",
        "    '''\n",
        "    runs KS test an stated is NH is rejected.\n",
        "    '''\n",
        "    ks = sp.stats.ks_2samp(samp1.KD02comb, samp2.KD02comb)\n",
        "    if verbose:\n",
        "        print(ks)\n",
        "    if ks[1] >= alpha:\n",
        "        print(\n",
        "            \"We cannot reject the NH that the distributions \" +\n",
        "            \"come from the same parent distributions\")\n",
        "    else :\n",
        "        print(\n",
        "        \"We reject the NH that the distributions come from the \" +\n",
        "            \"same parent distributions at p-value<{:.2}\".format(alpha))"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-10-08T07:41:01.705415Z",
          "start_time": "2019-10-08T07:41:01.398679Z"
        },
        "id": "uqYjePmSY2lk",
        "outputId": "1dcebd6d-3263-47e8-c288-c7ce01e93673",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "#delete\n",
        "import scipy as sp\n",
        "from scipy import stats\n",
        "sp.stats.ks_2samp(sneall[sneall.SNtype == \"Ic\"].KD02comb,\n",
        "                     grb.KD02comb)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "KstestResult(statistic=0.7857142857142857, pvalue=2.2656760277164095e-05, statistic_location=8.647, statistic_sign=-1)"
            ]
          },
          "metadata": {},
          "execution_count": 125
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sp.stats.ks_2samp(sneall[sneall.SNtype == \"Ic-BL\"].KD02comb,\n",
        "                     grb.KD02comb)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lvAgV8qMela7",
        "outputId": "8c45aa9d-e877-4aef-8c46-5ed0d49f4a7c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "KstestResult(statistic=0.24025974025974026, pvalue=0.776891461390048, statistic_location=8.207, statistic_sign=-1)"
            ]
          },
          "metadata": {},
          "execution_count": 126
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sp.stats.ks_2samp(sneall[sneall.SNtype == \"Ic-BL\"].KD02comb,\n",
        "                     sneall[sneall.SNtype == \"Ic\"].KD02comb)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UMVNDV1ue6mU",
        "outputId": "8be8fe9c-208e-4fff-d40b-8aeb07f25832"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "KstestResult(statistic=0.7142857142857143, pvalue=5.8132362524373664e-05, statistic_location=8.631, statistic_sign=1)"
            ]
          },
          "metadata": {},
          "execution_count": 127
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sp.stats.ks_2samp(sneall[sneall.SNtype == \"Ic\"].KD02comb,\n",
        "                     grb.KD02comb)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "D-iKKntlemAu",
        "outputId": "b7d07a33-813a-4842-96c2-ce2418146490"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "KstestResult(statistic=0.7857142857142857, pvalue=2.2656760277164095e-05, statistic_location=8.647, statistic_sign=-1)"
            ]
          },
          "metadata": {},
          "execution_count": 128
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-10-08T07:41:01.710054Z",
          "start_time": "2019-10-08T07:41:01.706618Z"
        },
        "id": "Fq_2b0unY2ll",
        "outputId": "a2caca54-c5b5-4fa6-a81f-1b4253765588",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "reject(snIc, snIcBL, alpha=0.05)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "We reject the NH that the distributions come from the same parent distributions at p-value<0.05\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4o7hK5KmY2ln"
      },
      "source": [
        "# 10 Compare the distribution of Ic and Ic-BL GRB with the full GRB sample\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-10-08T07:41:01.716726Z",
          "start_time": "2019-10-08T07:41:01.711440Z"
        },
        "id": "hXSOYT-IY2ln",
        "outputId": "aeec049a-50d6-4b04-da65-ed40ca0eac33",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "print(\"Ic vs GRB\")\n",
        "reject(snIc, grb, alpha=0.05)\n",
        "\n",
        "print(\"IcBL vs GRB\")\n",
        "reject(snIcBL, grb, alpha=0.05)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Ic vs GRB\n",
            "We reject the NH that the distributions come from the same parent distributions at p-value<0.05\n",
            "IcBL vs GRB\n",
            "We cannot reject the NH that the distributions come from the same parent distributions\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xj7rl9rgY2lp"
      },
      "source": [
        "# 11. Repeat the comparison of IcBL and GRB with the abridged GRB sample\n",
        "    \n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-10-08T07:41:01.729990Z",
          "start_time": "2019-10-08T07:41:01.718298Z"
        },
        "id": "EzEl_DfbY2lq",
        "outputId": "11fb5a49-5ee1-4c9e-ea45-cd18ec335274",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "print(\"Ic vs GRB\")\n",
        "reject(snIc, grbabridged, alpha=0.05)\n",
        "\n",
        "print(\"IcBL vs GRB\")\n",
        "reject(snIcBL, grbabridged, alpha=0.05)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Ic vs GRB\n",
            "We reject the NH that the distributions come from the same parent distributions at p-value<0.05\n",
            "IcBL vs GRB\n",
            "We cannot reject the NH that the distributions come from the same parent distributions\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2018-11-01T14:00:25.616878Z",
          "start_time": "2018-11-01T14:00:25.606326Z"
        },
        "id": "aPbAGf7CY2ls"
      },
      "source": [
        "   \n",
        "# Extra Credit. The metallicity measurements include uncertainties which are asymmetric. How would you incorporate them in your analysis (describe what you would do and, of course, if you have time to include this step in the analysis).\n",
        "\n",
        "Run a MC simulation:"
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "7eWBLtBcdbQm"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}