EXAMPLES/cars.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import plotastic as plst\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "#! You chose this color palette: ['#db5f57', '#dbc257', '#91db57', '#57db80', '#57d3db', '#5770db', '#a157db', '#db57b2']\n"
     ]
    },
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       "['#db5f57',\n",
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       " '#91db57',\n",
       " '#57db80',\n",
       " '#57d3db',\n",
       " '#5770db',\n",
       " '#a157db',\n",
       " '#db57b2']"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Set Plot Style\n",
    "plst.set_style(\"paper\")\n",
    "plst.set_palette(\"hls\", verbose=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Example Analysis: Dataset \"mpg\" (cars)\n",
    "\n",
    "**Raw Data:** https://github.com/mwaskom/seaborn-data\n",
    "  \n",
    "**Original Source:** https://data.world/dataman-udit/cars-data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mpg</th>\n",
       "      <th>cylinders</th>\n",
       "      <th>displacement</th>\n",
       "      <th>horsepower</th>\n",
       "      <th>weight</th>\n",
       "      <th>acceleration</th>\n",
       "      <th>model_year</th>\n",
       "      <th>origin</th>\n",
       "      <th>name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>18.0</td>\n",
       "      <td>8</td>\n",
       "      <td>307.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>3504</td>\n",
       "      <td>12.0</td>\n",
       "      <td>70</td>\n",
       "      <td>usa</td>\n",
       "      <td>chevrolet chevelle malibu</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>15.0</td>\n",
       "      <td>8</td>\n",
       "      <td>350.0</td>\n",
       "      <td>165.0</td>\n",
       "      <td>3693</td>\n",
       "      <td>11.5</td>\n",
       "      <td>70</td>\n",
       "      <td>usa</td>\n",
       "      <td>buick skylark 320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>18.0</td>\n",
       "      <td>8</td>\n",
       "      <td>318.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>3436</td>\n",
       "      <td>11.0</td>\n",
       "      <td>70</td>\n",
       "      <td>usa</td>\n",
       "      <td>plymouth satellite</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>16.0</td>\n",
       "      <td>8</td>\n",
       "      <td>304.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>3433</td>\n",
       "      <td>12.0</td>\n",
       "      <td>70</td>\n",
       "      <td>usa</td>\n",
       "      <td>amc rebel sst</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>17.0</td>\n",
       "      <td>8</td>\n",
       "      <td>302.0</td>\n",
       "      <td>140.0</td>\n",
       "      <td>3449</td>\n",
       "      <td>10.5</td>\n",
       "      <td>70</td>\n",
       "      <td>usa</td>\n",
       "      <td>ford torino</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>393</th>\n",
       "      <td>27.0</td>\n",
       "      <td>4</td>\n",
       "      <td>140.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>2790</td>\n",
       "      <td>15.6</td>\n",
       "      <td>82</td>\n",
       "      <td>usa</td>\n",
       "      <td>ford mustang gl</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>394</th>\n",
       "      <td>44.0</td>\n",
       "      <td>4</td>\n",
       "      <td>97.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>2130</td>\n",
       "      <td>24.6</td>\n",
       "      <td>82</td>\n",
       "      <td>europe</td>\n",
       "      <td>vw pickup</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>395</th>\n",
       "      <td>32.0</td>\n",
       "      <td>4</td>\n",
       "      <td>135.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>2295</td>\n",
       "      <td>11.6</td>\n",
       "      <td>82</td>\n",
       "      <td>usa</td>\n",
       "      <td>dodge rampage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>396</th>\n",
       "      <td>28.0</td>\n",
       "      <td>4</td>\n",
       "      <td>120.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>2625</td>\n",
       "      <td>18.6</td>\n",
       "      <td>82</td>\n",
       "      <td>usa</td>\n",
       "      <td>ford ranger</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>397</th>\n",
       "      <td>31.0</td>\n",
       "      <td>4</td>\n",
       "      <td>119.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>2720</td>\n",
       "      <td>19.4</td>\n",
       "      <td>82</td>\n",
       "      <td>usa</td>\n",
       "      <td>chevy s-10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>398 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      mpg  cylinders  displacement  horsepower  weight  acceleration  \\\n",
       "0    18.0          8         307.0       130.0    3504          12.0   \n",
       "1    15.0          8         350.0       165.0    3693          11.5   \n",
       "2    18.0          8         318.0       150.0    3436          11.0   \n",
       "3    16.0          8         304.0       150.0    3433          12.0   \n",
       "4    17.0          8         302.0       140.0    3449          10.5   \n",
       "..    ...        ...           ...         ...     ...           ...   \n",
       "393  27.0          4         140.0        86.0    2790          15.6   \n",
       "394  44.0          4          97.0        52.0    2130          24.6   \n",
       "395  32.0          4         135.0        84.0    2295          11.6   \n",
       "396  28.0          4         120.0        79.0    2625          18.6   \n",
       "397  31.0          4         119.0        82.0    2720          19.4   \n",
       "\n",
       "     model_year  origin                       name  \n",
       "0            70     usa  chevrolet chevelle malibu  \n",
       "1            70     usa          buick skylark 320  \n",
       "2            70     usa         plymouth satellite  \n",
       "3            70     usa              amc rebel sst  \n",
       "4            70     usa                ford torino  \n",
       "..          ...     ...                        ...  \n",
       "393          82     usa            ford mustang gl  \n",
       "394          82  europe                  vw pickup  \n",
       "395          82     usa              dodge rampage  \n",
       "396          82     usa                ford ranger  \n",
       "397          82     usa                 chevy s-10  \n",
       "\n",
       "[398 rows x 9 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "DF = sns.load_dataset(\"mpg\")\n",
    "DF"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>model_year</th>\n",
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       "      <th>cylinders</th>\n",
       "      <th>measurement</th>\n",
       "      <th>value</th>\n",
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       "      <td>70</td>\n",
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       "      <td>mpg</td>\n",
       "      <td>18.0</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>70</td>\n",
       "      <td>usa</td>\n",
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       "      <td>mpg</td>\n",
       "      <td>15.0</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>70</td>\n",
       "      <td>usa</td>\n",
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       "      <td>mpg</td>\n",
       "      <td>18.0</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>70</td>\n",
       "      <td>usa</td>\n",
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       "      <td>mpg</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>70</td>\n",
       "      <td>usa</td>\n",
       "      <td>8</td>\n",
       "      <td>mpg</td>\n",
       "      <td>17.0</td>\n",
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       "      <th>...</th>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1985</th>\n",
       "      <td>82</td>\n",
       "      <td>usa</td>\n",
       "      <td>4</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>15.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1986</th>\n",
       "      <td>82</td>\n",
       "      <td>europe</td>\n",
       "      <td>4</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>24.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1987</th>\n",
       "      <td>82</td>\n",
       "      <td>usa</td>\n",
       "      <td>4</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>11.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1988</th>\n",
       "      <td>82</td>\n",
       "      <td>usa</td>\n",
       "      <td>4</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>18.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1989</th>\n",
       "      <td>82</td>\n",
       "      <td>usa</td>\n",
       "      <td>4</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>19.4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1990 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      model_year  origin  cylinders   measurement  value\n",
       "0             70     usa          8           mpg   18.0\n",
       "1             70     usa          8           mpg   15.0\n",
       "2             70     usa          8           mpg   18.0\n",
       "3             70     usa          8           mpg   16.0\n",
       "4             70     usa          8           mpg   17.0\n",
       "...          ...     ...        ...           ...    ...\n",
       "1985          82     usa          4  acceleration   15.6\n",
       "1986          82  europe          4  acceleration   24.6\n",
       "1987          82     usa          4  acceleration   11.6\n",
       "1988          82     usa          4  acceleration   18.6\n",
       "1989          82     usa          4  acceleration   19.4\n",
       "\n",
       "[1990 rows x 5 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "DF = sns.load_dataset(\"mpg\")\n",
    "DF.drop(\"name\", axis=1, inplace=True)\n",
    "# DF = DF[DF[\"origin\"] != \"usa\"]  # USA is not a country (says github copilot)\n",
    "DF = DF.melt(\n",
    "    id_vars=[\"model_year\", \"origin\", \"cylinders\"],\n",
    "    var_name=\"measurement\",\n",
    "    value_name=\"value\",\n",
    ")\n",
    "DF"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===============================================================================\n",
      "#! Checking data integrity...\n",
      "✅ DATA COMPLETE: All combinations of levels from selected factors are present\n",
      "   in the Dataframe, including x.\n",
      "❗️ GROUPS INCOMPLETE: Groups/facets contain single NaNs. 👉 Call\n",
      "   .get_rows_with_NaN() to see them all.\n",
      "   These are the first 5 rows with NaNs:\n",
      "   |                              |   cylinders |   value |\n",
      "   |:-----------------------------|------------:|--------:|\n",
      "   | ('horsepower', 'europe', 80) |           4 |     nan |\n",
      "   | ('horsepower', 'europe', 81) |           4 |     nan |\n",
      "   | ('horsepower', 'usa', 71)    |           4 |     nan |\n",
      "   | ('horsepower', 'usa', 74)    |           6 |     nan |\n",
      "   | ('horsepower', 'usa', 80)    |           4 |     nan |\n",
      "🫠 GROUPS UNEQUAL: Groups (195 total) have different samplesizes (n = 10.2\n",
      "   ±7.3).\n",
      "   👉 Call .data_get_samplesizes() to see them.\n",
      "   These are the 5 groups with the largest samplesizes:\n",
      "   |                             |   value |\n",
      "   |:----------------------------|--------:|\n",
      "   | ('acceleration', 'usa', 73) |      29 |\n",
      "   | ('horsepower', 'usa', 73)   |      29 |\n",
      "   | ('displacement', 'usa', 73) |      29 |\n",
      "   | ('weight', 'usa', 73)       |      29 |\n",
      "   | ('mpg', 'usa', 73)          |      29 |\n",
      "🌳 LEVELS WELL CONNECTED: These Factors have levels that are always found\n",
      "   together: ['measurement', 'origin'].\n",
      "   👉 Call .levels_combocount() or .levels_dendrogram() to see them all.\n",
      "===============================================================================\n"
     ]
    }
   ],
   "source": [
    "dims = dict(\n",
    "    y=\"value\",\n",
    "    x=\"model_year\",\n",
    "    hue=\"origin\",\n",
    "    col=\"measurement\",\n",
    "    # row=\"origin\",\n",
    ")\n",
    "DA4 = plst.DataAnalysis(DF, dims, verbose=True)\n",
    "# DA4.catplot(sharey=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>model_year</th>\n",
       "      <th>A</th>\n",
       "      <th>B</th>\n",
       "      <th>mean(A)</th>\n",
       "      <th>std(A)</th>\n",
       "      <th>mean(B)</th>\n",
       "      <th>std(B)</th>\n",
       "      <th>Paired</th>\n",
       "      <th>Parametric</th>\n",
       "      <th>U-val</th>\n",
       "      <th>alternative</th>\n",
       "      <th>p-unc</th>\n",
       "      <th>hedges</th>\n",
       "      <th>**p-unc</th>\n",
       "      <th>Sign.</th>\n",
       "      <th>pairs</th>\n",
       "      <th>cross</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>measurement</th>\n",
       "      <th>origin</th>\n",
       "      <th>Contrast</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">mpg</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">-</th>\n",
       "      <th>model_year</th>\n",
       "      <td>-</td>\n",
       "      <td>70</td>\n",
       "      <td>71</td>\n",
       "      <td>17.689655</td>\n",
       "      <td>5.339231</td>\n",
       "      <td>21.250000</td>\n",
       "      <td>6.591942</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>283.0</td>\n",
       "      <td>two-sided</td>\n",
       "      <td>0.049768</td>\n",
       "      <td>-0.586529</td>\n",
       "      <td>*</td>\n",
       "      <td>signif.</td>\n",
       "      <td>(70, 71)</td>\n",
       "      <td>x</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>model_year</th>\n",
       "      <td>-</td>\n",
       "      <td>70</td>\n",
       "      <td>72</td>\n",
       "      <td>17.689655</td>\n",
       "      <td>5.339231</td>\n",
       "      <td>18.714286</td>\n",
       "      <td>5.435529</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>382.5</td>\n",
       "      <td>two-sided</td>\n",
       "      <td>0.712617</td>\n",
       "      <td>-0.187609</td>\n",
       "      <td>ns</td>\n",
       "      <td>False</td>\n",
       "      <td>(70, 72)</td>\n",
       "      <td>x</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>model_year</th>\n",
       "      <td>-</td>\n",
       "      <td>70</td>\n",
       "      <td>73</td>\n",
       "      <td>17.689655</td>\n",
       "      <td>5.339231</td>\n",
       "      <td>17.100000</td>\n",
       "      <td>4.700245</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>631.0</td>\n",
       "      <td>two-sided</td>\n",
       "      <td>0.537921</td>\n",
       "      <td>0.117138</td>\n",
       "      <td>ns</td>\n",
       "      <td>False</td>\n",
       "      <td>(70, 73)</td>\n",
       "      <td>x</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>model_year</th>\n",
       "      <td>-</td>\n",
       "      <td>70</td>\n",
       "      <td>74</td>\n",
       "      <td>17.689655</td>\n",
       "      <td>5.339231</td>\n",
       "      <td>22.703704</td>\n",
       "      <td>6.420010</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>220.0</td>\n",
       "      <td>two-sided</td>\n",
       "      <td>0.004885</td>\n",
       "      <td>-0.840197</td>\n",
       "      <td>**</td>\n",
       "      <td>signif.</td>\n",
       "      <td>(70, 74)</td>\n",
       "      <td>x</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>model_year</th>\n",
       "      <td>-</td>\n",
       "      <td>70</td>\n",
       "      <td>75</td>\n",
       "      <td>17.689655</td>\n",
       "      <td>5.339231</td>\n",
       "      <td>20.266667</td>\n",
       "      <td>4.940566</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>313.5</td>\n",
       "      <td>two-sided</td>\n",
       "      <td>0.065608</td>\n",
       "      <td>-0.494712</td>\n",
       "      <td>0.066</td>\n",
       "      <td>toler.</td>\n",
       "      <td>(70, 75)</td>\n",
       "      <td>x</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">acceleration</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">usa</th>\n",
       "      <th>origin * model_year</th>\n",
       "      <td>NaN</td>\n",
       "      <td>79</td>\n",
       "      <td>81</td>\n",
       "      <td>15.243478</td>\n",
       "      <td>2.346918</td>\n",
       "      <td>16.053846</td>\n",
       "      <td>2.199475</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>115.5</td>\n",
       "      <td>two-sided</td>\n",
       "      <td>0.269428</td>\n",
       "      <td>-0.345110</td>\n",
       "      <td>ns</td>\n",
       "      <td>False</td>\n",
       "      <td>((81, usa), (79, usa))</td>\n",
       "      <td>x</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>origin * model_year</th>\n",
       "      <td>NaN</td>\n",
       "      <td>79</td>\n",
       "      <td>82</td>\n",
       "      <td>15.243478</td>\n",
       "      <td>2.346918</td>\n",
       "      <td>16.670000</td>\n",
       "      <td>2.250170</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>141.0</td>\n",
       "      <td>two-sided</td>\n",
       "      <td>0.031055</td>\n",
       "      <td>-0.608127</td>\n",
       "      <td>*</td>\n",
       "      <td>signif.</td>\n",
       "      <td>((82, usa), (79, usa))</td>\n",
       "      <td>x</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>origin * model_year</th>\n",
       "      <td>NaN</td>\n",
       "      <td>80</td>\n",
       "      <td>81</td>\n",
       "      <td>16.800000</td>\n",
       "      <td>2.235322</td>\n",
       "      <td>16.053846</td>\n",
       "      <td>2.199475</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>51.5</td>\n",
       "      <td>two-sided</td>\n",
       "      <td>0.662718</td>\n",
       "      <td>0.323143</td>\n",
       "      <td>ns</td>\n",
       "      <td>False</td>\n",
       "      <td>((81, usa), (80, usa))</td>\n",
       "      <td>x</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>origin * model_year</th>\n",
       "      <td>NaN</td>\n",
       "      <td>80</td>\n",
       "      <td>82</td>\n",
       "      <td>16.800000</td>\n",
       "      <td>2.235322</td>\n",
       "      <td>16.670000</td>\n",
       "      <td>2.250170</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>70.0</td>\n",
       "      <td>two-sided</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.056111</td>\n",
       "      <td>ns</td>\n",
       "      <td>False</td>\n",
       "      <td>((82, usa), (80, usa))</td>\n",
       "      <td>x</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>origin * model_year</th>\n",
       "      <td>NaN</td>\n",
       "      <td>81</td>\n",
       "      <td>82</td>\n",
       "      <td>16.053846</td>\n",
       "      <td>2.199475</td>\n",
       "      <td>16.670000</td>\n",
       "      <td>2.250170</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>104.5</td>\n",
       "      <td>two-sided</td>\n",
       "      <td>0.356397</td>\n",
       "      <td>-0.269481</td>\n",
       "      <td>ns</td>\n",
       "      <td>False</td>\n",
       "      <td>((82, usa), (81, usa))</td>\n",
       "      <td>x</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1770 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        model_year   A   B    mean(A)  \\\n",
       "measurement  origin Contrast                                            \n",
       "mpg          -      model_year                   -  70  71  17.689655   \n",
       "                    model_year                   -  70  72  17.689655   \n",
       "                    model_year                   -  70  73  17.689655   \n",
       "                    model_year                   -  70  74  17.689655   \n",
       "                    model_year                   -  70  75  17.689655   \n",
       "...                                            ...  ..  ..        ...   \n",
       "acceleration usa    origin * model_year        NaN  79  81  15.243478   \n",
       "                    origin * model_year        NaN  79  82  15.243478   \n",
       "                    origin * model_year        NaN  80  81  16.800000   \n",
       "                    origin * model_year        NaN  80  82  16.800000   \n",
       "                    origin * model_year        NaN  81  82  16.053846   \n",
       "\n",
       "                                           std(A)    mean(B)    std(B) Paired  \\\n",
       "measurement  origin Contrast                                                    \n",
       "mpg          -      model_year           5.339231  21.250000  6.591942  False   \n",
       "                    model_year           5.339231  18.714286  5.435529  False   \n",
       "                    model_year           5.339231  17.100000  4.700245  False   \n",
       "                    model_year           5.339231  22.703704  6.420010  False   \n",
       "                    model_year           5.339231  20.266667  4.940566  False   \n",
       "...                                           ...        ...       ...    ...   \n",
       "acceleration usa    origin * model_year  2.346918  16.053846  2.199475  False   \n",
       "                    origin * model_year  2.346918  16.670000  2.250170  False   \n",
       "                    origin * model_year  2.235322  16.053846  2.199475  False   \n",
       "                    origin * model_year  2.235322  16.670000  2.250170  False   \n",
       "                    origin * model_year  2.199475  16.670000  2.250170  False   \n",
       "\n",
       "                                         Parametric  U-val alternative  \\\n",
       "measurement  origin Contrast                                             \n",
       "mpg          -      model_year                False  283.0   two-sided   \n",
       "                    model_year                False  382.5   two-sided   \n",
       "                    model_year                False  631.0   two-sided   \n",
       "                    model_year                False  220.0   two-sided   \n",
       "                    model_year                False  313.5   two-sided   \n",
       "...                                             ...    ...         ...   \n",
       "acceleration usa    origin * model_year       False  115.5   two-sided   \n",
       "                    origin * model_year       False  141.0   two-sided   \n",
       "                    origin * model_year       False   51.5   two-sided   \n",
       "                    origin * model_year       False   70.0   two-sided   \n",
       "                    origin * model_year       False  104.5   two-sided   \n",
       "\n",
       "                                            p-unc    hedges **p-unc    Sign.  \\\n",
       "measurement  origin Contrast                                                   \n",
       "mpg          -      model_year           0.049768 -0.586529       *  signif.   \n",
       "                    model_year           0.712617 -0.187609      ns    False   \n",
       "                    model_year           0.537921  0.117138      ns    False   \n",
       "                    model_year           0.004885 -0.840197      **  signif.   \n",
       "                    model_year           0.065608 -0.494712   0.066   toler.   \n",
       "...                                           ...       ...     ...      ...   \n",
       "acceleration usa    origin * model_year  0.269428 -0.345110      ns    False   \n",
       "                    origin * model_year  0.031055 -0.608127       *  signif.   \n",
       "                    origin * model_year  0.662718  0.323143      ns    False   \n",
       "                    origin * model_year  1.000000  0.056111      ns    False   \n",
       "                    origin * model_year  0.356397 -0.269481      ns    False   \n",
       "\n",
       "                                                          pairs cross  \n",
       "measurement  origin Contrast                                           \n",
       "mpg          -      model_year                         (70, 71)     x  \n",
       "                    model_year                         (70, 72)     x  \n",
       "                    model_year                         (70, 73)     x  \n",
       "                    model_year                         (70, 74)     x  \n",
       "                    model_year                         (70, 75)     x  \n",
       "...                                                         ...   ...  \n",
       "acceleration usa    origin * model_year  ((81, usa), (79, usa))     x  \n",
       "                    origin * model_year  ((82, usa), (79, usa))     x  \n",
       "                    origin * model_year  ((81, usa), (80, usa))     x  \n",
       "                    origin * model_year  ((82, usa), (80, usa))     x  \n",
       "                    origin * model_year  ((82, usa), (81, usa))     x  \n",
       "\n",
       "[1770 rows x 17 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "DA4.test_pairwise(paired=False, parametric=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/martinkuric/_REPOS/plotastic/venv/lib/python3.11/site-packages/seaborn/algorithms.py:98: RuntimeWarning: Mean of empty slice\n",
      "  boot_dist.append(f(*sample, **func_kwargs))\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2574.14x400 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "(\n",
    "    DA4.subplots(\n",
    "        figsize=(12, 2),\n",
    "        sharey=False,\n",
    "        wspace=0.2,\n",
    "    )\n",
    "    .fillaxes(\n",
    "        kind=\"point\",\n",
    "        dodge=True,\n",
    "    )\n",
    "    .annotate_pairwise(\n",
    "        include=\"__HUE\",\n",
    "    )\n",
    "    .edit_legend()\n",
    ")\n",
    "plt.subplots_adjust(top=0.7)\n",
    "plt.suptitle(\"Cars: USA vs. Japan vs. Europe\")\n",
    "plt.savefig(\"cars1.png\", dpi=300, bbox_inches=\"tight\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "venv",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}