Songs_List.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Step 2: Download Top 100 Hot Latin Songs List on Billboard.com"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "    - Web scrape multiple pages using loop in Beautifulsoup and save in dataframe by row"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>.container { width:100% !important; }</style>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import requests\n",
    "import numpy as np\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from IPython.display import HTML, display\n",
    "from bs4 import BeautifulSoup\n",
    "import lyricsgenius as genius\n",
    "import sys\n",
    "import re\n",
    "import string\n",
    "from datetime import datetime\n",
    "from wordcloud import WordCloud\n",
    "from sklearn.feature_extraction.text import TfidfVectorizer, CountVectorizer\n",
    "import spacy\n",
    "from collections import Counter\n",
    "from os import path\n",
    "from PIL import Image\n",
    "pd.options.mode.chained_assignment = None\n",
    "%config InlineBackend.figure_format = 'png'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "def collect_songs_from_billboard(start_year,end_year):\n",
    "    years = np.arange(start_year, end_year + 1).astype(int)\n",
    "    dataset = pd.DataFrame()\n",
    "    url_list = []\n",
    "    all_years = pd.DataFrame()\n",
    "    for i in range (0, len(years)):\n",
    "        url_list.append(\"https://www.billboard.com/charts/year-end/\" + str(years[i]) + \"/hot-latin-songs\")      \n",
    "    for i in range(0, len(url_list)):\n",
    "            sys.stdout.write(\"\\r\" + \"Collecting Songs from \" +str(years[i]) + \" via https://www.billboard.com\")\n",
    "            sys.stdout.flush()\n",
    "            url = \"https://www.billboard.com/charts/year-end/\" + str(years[i]) + \"/hot-latin-songs\"\n",
    "            page = requests.get(url)\n",
    "            soup = BeautifulSoup(page.content, \"html.parser\")\n",
    "            all_ranks = soup.find_all(\"div\", class_=\"ye-chart-item__rank\")\n",
    "            all_titles = soup.find_all('div', class_=\"ye-chart-item__title\")\n",
    "            all_artists = soup.find_all(\"div\", class_=\"ye-chart-item__artist\")\n",
    "            for j in range (0, len(all_ranks)):\n",
    "                row = {\n",
    "                    \"Rank\": all_ranks[j].get_text(strip=True),\n",
    "                    \"Song Title\": all_titles[j].get_text(strip=True),\n",
    "                    \"Artist\": all_artists[j].get_text(strip=True),\n",
    "                    \"Year\": years[i]\n",
    "                }\n",
    "                dataset = dataset.append(row, ignore_index=True)\n",
    "    dataset['Year'] = dataset['Year'].astype(int)\n",
    "    return dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting Songs from 2018 via https://www.billboard.com"
     ]
    }
   ],
   "source": [
    "all_songs = collect_songs_from_billboard(2006, 2018) #Billboard goes back to 2006"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<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>Artist</th>\n",
       "      <th>Rank</th>\n",
       "      <th>Song Title</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>RKM &amp; Ken-Y</td>\n",
       "      <td>1</td>\n",
       "      <td>Down</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Shakira Featuring Wyclef Jean</td>\n",
       "      <td>2</td>\n",
       "      <td>Hips Don't Lie</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Daddy Yankee</td>\n",
       "      <td>3</td>\n",
       "      <td>Rompe</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Mariano Barba</td>\n",
       "      <td>4</td>\n",
       "      <td>Aliado Del Tiempo</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Wisin &amp; Yandel</td>\n",
       "      <td>5</td>\n",
       "      <td>Llame Pa' Verte</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          Artist Rank         Song Title  Year\n",
       "0                    RKM & Ken-Y    1               Down  2006\n",
       "1  Shakira Featuring Wyclef Jean    2     Hips Don't Lie  2006\n",
       "2                   Daddy Yankee    3              Rompe  2006\n",
       "3                  Mariano Barba    4  Aliado Del Tiempo  2006\n",
       "4                 Wisin & Yandel    5    Llame Pa' Verte  2006"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<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>Artist</th>\n",
       "      <th>Rank</th>\n",
       "      <th>Song Title</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1051</th>\n",
       "      <td>Banda La Misma Tierra</td>\n",
       "      <td>96</td>\n",
       "      <td>Si No Estas Tu</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1052</th>\n",
       "      <td>Silvestre Dangond &amp; Natti Natasha</td>\n",
       "      <td>97</td>\n",
       "      <td>Justicia</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1053</th>\n",
       "      <td>Raymix</td>\n",
       "      <td>98</td>\n",
       "      <td>Donde Estaras</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1054</th>\n",
       "      <td>Lenin Ramirez Featuring T3r Elemento</td>\n",
       "      <td>99</td>\n",
       "      <td>Rolling One</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1055</th>\n",
       "      <td>T3r Elemento</td>\n",
       "      <td>100</td>\n",
       "      <td>Rafa Caro</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                    Artist Rank      Song Title  Year\n",
       "1051                 Banda La Misma Tierra   96  Si No Estas Tu  2018\n",
       "1052     Silvestre Dangond & Natti Natasha   97        Justicia  2018\n",
       "1053                                Raymix   98   Donde Estaras  2018\n",
       "1054  Lenin Ramirez Featuring T3r Elemento   99     Rolling One  2018\n",
       "1055                          T3r Elemento  100       Rafa Caro  2018"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "(1056, 4)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(all_songs.head(5))\n",
    "display(all_songs.tail(5))\n",
    "display(all_songs.shape)\n",
    "#top 100 songs per year from 2006 to 2018 --> 1056 songs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.DataFrame(all_songs).to_excel('Latin_Songs.xlsx', header=True, index=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Resources/Citation for Code:\n",
    "- https://github.com/sharpie-007/dataAndMusic/blob/master/49%20Years%20of%20Music%20-%20Collection%20and%20Analysis.ipynb"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Step 3: Plot Data on Song List for Influencial Artist "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "    - Matplotlib and Seaborn graphs from dataframes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Top Artists on #1 Hit List"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/lib/python3.5/importlib/_bootstrap.py:222: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88\n",
      "  return f(*args, **kwds)\n",
      "/usr/lib/python3.5/importlib/_bootstrap.py:222: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88\n",
      "  return f(*args, **kwds)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\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>Artist</th>\n",
       "      <th>Rank</th>\n",
       "      <th>Song Title</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>RKM &amp; Ken-Y</td>\n",
       "      <td>1</td>\n",
       "      <td>Down</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Shakira Featuring Wyclef Jean</td>\n",
       "      <td>2</td>\n",
       "      <td>Hips Don't Lie</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Daddy Yankee</td>\n",
       "      <td>3</td>\n",
       "      <td>Rompe</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Mariano Barba</td>\n",
       "      <td>4</td>\n",
       "      <td>Aliado Del Tiempo</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Wisin &amp; Yandel</td>\n",
       "      <td>5</td>\n",
       "      <td>Llame Pa' Verte</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Daddy Yankee</td>\n",
       "      <td>7</td>\n",
       "      <td>Machucando</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Don Omar</td>\n",
       "      <td>8</td>\n",
       "      <td>Angelito</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Aventura</td>\n",
       "      <td>9</td>\n",
       "      <td>Un Beso</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Mana</td>\n",
       "      <td>10</td>\n",
       "      <td>Labios Compartidos</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Aventura Featuring Don Omar</td>\n",
       "      <td>11</td>\n",
       "      <td>Ella Y Yo</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          Artist  Rank          Song Title  Year\n",
       "0                    RKM & Ken-Y     1                Down  2006\n",
       "1  Shakira Featuring Wyclef Jean     2      Hips Don't Lie  2006\n",
       "2                   Daddy Yankee     3               Rompe  2006\n",
       "3                  Mariano Barba     4   Aliado Del Tiempo  2006\n",
       "4                 Wisin & Yandel     5     Llame Pa' Verte  2006\n",
       "5                   Daddy Yankee     7          Machucando  2006\n",
       "6                       Don Omar     8            Angelito  2006\n",
       "7                       Aventura     9             Un Beso  2006\n",
       "8                           Mana    10  Labios Compartidos  2006\n",
       "9    Aventura Featuring Don Omar    11           Ella Y Yo  2006"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "df = pd.read_excel('Latin_Songs.xlsx',sheet_name='Sheet1')\n",
    "df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1056, 4)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "La Arrolladora Banda el Limon de Rene Camacho                          2.083333\n",
       "Daddy Yankee                                                           1.799242\n",
       "Calibre 50                                                             1.799242\n",
       "Gerardo Ortiz                                                          1.704545\n",
       "Banda Sinaloense MS de Sergio Lizarraga                                1.704545\n",
       "Prince Royce                                                           1.515152\n",
       "Julion Alvarez y Su Norteno Banda                                      1.515152\n",
       "Romeo Santos                                                           1.515152\n",
       "Banda El Recodo de Cruz Lizarraga                                      1.325758\n",
       "Juanes                                                                 1.231061\n",
       "Banda Los Recoditos                                                    1.231061\n",
       "Don Omar                                                               1.136364\n",
       "Intocable                                                              1.041667\n",
       "La Adictiva Banda San Jose de Mesillas                                 1.041667\n",
       "Wisin & Yandel                                                         1.041667\n",
       "Aventura                                                               0.852273\n",
       "Voz de Mando                                                           0.757576\n",
       "Ricardo Arjona                                                         0.757576\n",
       "Mana                                                                   0.757576\n",
       "Banda Carnaval                                                         0.757576\n",
       "J Balvin                                                               0.757576\n",
       "Roberto Tapia                                                          0.662879\n",
       "Conjunto Primavera                                                     0.662879\n",
       "Espinoza Paz                                                           0.662879\n",
       "Marco Antonio Solis                                                    0.662879\n",
       "Larry Hernandez                                                        0.662879\n",
       "Pesado                                                                 0.662879\n",
       "La Original Banda el Limon de Salvador Lizarraga                       0.662879\n",
       "El Trono de Mexico                                                     0.662879\n",
       "Ozuna                                                                  0.662879\n",
       "                                                                         ...   \n",
       "Arcangel & DJ Luian                                                    0.094697\n",
       "Tito El Bambino + El Patron Featuring Marc Anthony                     0.094697\n",
       "Juan Luis Guerra Featuring Romeo Santos                                0.094697\n",
       "Joey Montana                                                           0.094697\n",
       "Akon Featuring Snoop Dogg                                              0.094697\n",
       "Pitbull & J Balvin Featuring Camila Cabello                            0.094697\n",
       "Wisin & Yandel Featuring Los Vaqueros                                  0.094697\n",
       "Ken-Y & Nicky Jam                                                      0.094697\n",
       "Gocho Featuring Jowell y Omega                                         0.094697\n",
       "J Balvin Featuring Farruko                                             0.094697\n",
       "Enrique Iglesias Featuring Ludacris & DJ Frank E                       0.094697\n",
       "La Apuesta                                                             0.094697\n",
       "Ozuna x Manuel Turizo                                                  0.094697\n",
       "Juan Magan Featuring Luciana                                           0.094697\n",
       "Baby Ranks, Daddy Yankee, Tonny Tun Tun, Wisin & Yandel & Hector       0.094697\n",
       "Yolandita Monge                                                        0.094697\n",
       "Jorge Valenzuela                                                       0.094697\n",
       "Wisin & Yandel Featuring Aventura                                      0.094697\n",
       "Wisin + Carlos Vives Featuring Daddy Yankee                            0.094697\n",
       "Lenin Ramirez Featuring T3r Elemento                                   0.094697\n",
       "Jennifer Lopez Featuring Wisin                                         0.094697\n",
       "Tito Torbellino XIII Featuring EP                                      0.094697\n",
       "Negros                                                                 0.094697\n",
       "Piso 21 Featuring Manuel Turizo                                        0.094697\n",
       "Michel Telo                                                            0.094697\n",
       "Nacho                                                                  0.094697\n",
       "Julio Chaidez                                                          0.094697\n",
       "Juan Gabriel                                                           0.094697\n",
       "La Original Banda el Limon de Salvador Lizarraga Featuring Rio Roma    0.094697\n",
       "Pitbull Featuring Gente de Zona                                        0.094697\n",
       "Name: Artist, Length: 467, dtype: float64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Artist'].value_counts(normalize=True) *100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "artist = df['Artist'].value_counts(normalize=True) *100\n",
    "artist.plot.barh().invert_yaxis()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "La Arrolladora Banda el Limon de Rene Camacho    22\n",
      "Daddy Yankee                                     19\n",
      "Calibre 50                                       19\n",
      "Gerardo Ortiz                                    18\n",
      "Banda Sinaloense MS de Sergio Lizarraga          18\n",
      "Julion Alvarez y Su Norteno Banda                16\n",
      "Romeo Santos                                     16\n",
      "Prince Royce                                     16\n",
      "Banda El Recodo de Cruz Lizarraga                14\n",
      "Juanes                                           13\n",
      "Banda Los Recoditos                              13\n",
      "Don Omar                                         12\n",
      "La Adictiva Banda San Jose de Mesillas           11\n",
      "Wisin & Yandel                                   11\n",
      "Intocable                                        11\n",
      "Aventura                                          9\n",
      "J Balvin                                          8\n",
      "Banda Carnaval                                    8\n",
      "Ricardo Arjona                                    8\n",
      "Voz de Mando                                      8\n",
      "Mana                                              8\n",
      "Name: Artist, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "top20_solo = df[(df['Artist'] == 'La Arrolladora Banda el Limon de Rene Camacho') | (df['Artist'] == 'Calibre 50') | \n",
    "                (df['Artist'] == 'Daddy Yankee') | (df['Artist'] == 'Gerardo Ortiz') | \n",
    "                (df['Artist'] == 'Banda Sinaloense MS de Sergio Lizarraga') | \n",
    "                (df['Artist'] == 'Romeo Santos') | (df['Artist'] == 'Prince Royce') | \n",
    "                (df['Artist'] == 'Julion Alvarez y Su Norteno Banda') | (df['Artist'] == 'Banda El Recodo de Cruz Lizarraga') | \n",
    "                (df['Artist'] == 'Banda Los Recoditos') | (df['Artist'] == 'Juanes') | (df['Artist'] == 'Don Omar') | \n",
    "                (df['Artist'] == 'Wisin & Yandel') | (df['Artist'] == 'La Adictiva Banda San Jose de Mesillas') | \n",
    "                (df['Artist'] == 'Intocable') | (df['Artist'] == 'Aventura') | (df['Artist'] == 'J Balvin') | (df['Artist'] == 'Ricardo Arjona') | \n",
    "                (df['Artist'] == 'Banda Carnaval') | (df['Artist'] == 'Mana') | (df['Artist'] == 'Voz de Mando') ]\n",
    "print(top20_solo['Artist'].value_counts())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "La Arrolladora Banda el Limon de Rene Camacho    7.913669\n",
       "Daddy Yankee                                     6.834532\n",
       "Calibre 50                                       6.834532\n",
       "Gerardo Ortiz                                    6.474820\n",
       "Banda Sinaloense MS de Sergio Lizarraga          6.474820\n",
       "Julion Alvarez y Su Norteno Banda                5.755396\n",
       "Romeo Santos                                     5.755396\n",
       "Prince Royce                                     5.755396\n",
       "Banda El Recodo de Cruz Lizarraga                5.035971\n",
       "Juanes                                           4.676259\n",
       "Banda Los Recoditos                              4.676259\n",
       "Don Omar                                         4.316547\n",
       "La Adictiva Banda San Jose de Mesillas           3.956835\n",
       "Wisin & Yandel                                   3.956835\n",
       "Intocable                                        3.956835\n",
       "Aventura                                         3.237410\n",
       "J Balvin                                         2.877698\n",
       "Banda Carnaval                                   2.877698\n",
       "Ricardo Arjona                                   2.877698\n",
       "Voz de Mando                                     2.877698\n",
       "Mana                                             2.877698\n",
       "Name: Artist, dtype: float64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top20_solo['Artist'].value_counts(normalize=True) *100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#matplotlib\n",
    "Top20Solo = top20_solo['Artist'].value_counts()\n",
    "plt.title('Solo Songs by Latin Artist')\n",
    "plt.xlabel('Number of Songs')\n",
    "plt.ylabel('Singer') \n",
    "Top20Solo.plot.barh().invert_yaxis() #descends order "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#seaborn\n",
    "import seaborn as sns\n",
    "sns.set(style=\"whitegrid\")\n",
    "p = sns.countplot(data=top20_solo, y = \"Artist\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<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>Artist</th>\n",
       "      <th>Rank</th>\n",
       "      <th>Song Title</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>Shakira</td>\n",
       "      <td>9</td>\n",
       "      <td>Loba</td>\n",
       "      <td>2009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>269</th>\n",
       "      <td>Shakira</td>\n",
       "      <td>32</td>\n",
       "      <td>Did It Again (Lo Hecho Esta Hecho)</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271</th>\n",
       "      <td>Shakira</td>\n",
       "      <td>34</td>\n",
       "      <td>Gitana</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>364</th>\n",
       "      <td>Shakira</td>\n",
       "      <td>54</td>\n",
       "      <td>Sale El Sol</td>\n",
       "      <td>2011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413</th>\n",
       "      <td>Shakira</td>\n",
       "      <td>28</td>\n",
       "      <td>Addicted To You</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>592</th>\n",
       "      <td>Shakira</td>\n",
       "      <td>36</td>\n",
       "      <td>Nunca Me Acuerdo de Olvidarte</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>866</th>\n",
       "      <td>Shakira</td>\n",
       "      <td>11</td>\n",
       "      <td>Me Enamore</td>\n",
       "      <td>2017</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Artist  Rank                          Song Title  Year\n",
       "152  Shakira     9                                Loba  2009\n",
       "269  Shakira    32  Did It Again (Lo Hecho Esta Hecho)  2010\n",
       "271  Shakira    34                              Gitana  2010\n",
       "364  Shakira    54                         Sale El Sol  2011\n",
       "413  Shakira    28                     Addicted To You  2012\n",
       "592  Shakira    36       Nunca Me Acuerdo de Olvidarte  2014\n",
       "866  Shakira    11                          Me Enamore  2017"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.query(\"Artist=='Shakira'\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ariggs/myENV/lib/python3.5/site-packages/ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \n",
      "/home/ariggs/myENV/lib/python3.5/site-packages/ipykernel_launcher.py:4: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  after removing the cwd from sys.path.\n",
      "/home/ariggs/myENV/lib/python3.5/site-packages/ipykernel_launcher.py:6: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \n",
      "/home/ariggs/myENV/lib/python3.5/site-packages/ipykernel_launcher.py:8: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \n",
      "/home/ariggs/myENV/lib/python3.5/site-packages/ipykernel_launcher.py:10: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  # Remove the CWD from sys.path while we load stuff.\n",
      "/home/ariggs/myENV/lib/python3.5/site-packages/ipykernel_launcher.py:12: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  if sys.path[0] == '':\n",
      "/home/ariggs/myENV/lib/python3.5/site-packages/ipykernel_launcher.py:14: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \n",
      "/home/ariggs/myENV/lib/python3.5/site-packages/ipykernel_launcher.py:16: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  app.launch_new_instance()\n",
      "/home/ariggs/myENV/lib/python3.5/site-packages/ipykernel_launcher.py:18: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "/home/ariggs/myENV/lib/python3.5/site-packages/ipykernel_launcher.py:20: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "/home/ariggs/myENV/lib/python3.5/site-packages/ipykernel_launcher.py:22: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "/home/ariggs/myENV/lib/python3.5/site-packages/ipykernel_launcher.py:24: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "/home/ariggs/myENV/lib/python3.5/site-packages/ipykernel_launcher.py:26: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "/home/ariggs/myENV/lib/python3.5/site-packages/ipykernel_launcher.py:28: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "/home/ariggs/myENV/lib/python3.5/site-packages/ipykernel_launcher.py:30: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "/home/ariggs/myENV/lib/python3.5/site-packages/ipykernel_launcher.py:32: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "/home/ariggs/myENV/lib/python3.5/site-packages/ipykernel_launcher.py:34: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "/home/ariggs/myENV/lib/python3.5/site-packages/ipykernel_launcher.py:36: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "/home/ariggs/myENV/lib/python3.5/site-packages/ipykernel_launcher.py:38: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "/home/ariggs/myENV/lib/python3.5/site-packages/ipykernel_launcher.py:40: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n"
     ]
    }
   ],
   "source": [
    "Shakira = df[df['Artist'].str.contains(\"Shakira\")]\n",
    "Shakira['Art_Code'] = 'Shakira'\n",
    "Balvin = df[df['Artist'].str.contains(\"J Balvin\")]\n",
    "Balvin['Art_Code'] = 'Balvin'\n",
    "Arrolladora = df[df['Artist'].str.contains(\"La Arrolladora Banda el Limon de Rene Camacho\")]\n",
    "Arrolladora['Art_Code'] = 'Arrolladora'\n",
    "Yankee = df[df['Artist'].str.contains(\"Daddy Yankee\")]\n",
    "Yankee['Art_Code'] = 'Daddy Yankee'\n",
    "Calibre = df[df['Artist'].str.contains(\"Calibre 50\")]\n",
    "Calibre['Art_Code'] = 'Calibre 50'\n",
    "Gerardo = df[df['Artist'].str.contains(\"Gerardo Ortiz\")]\n",
    "Gerardo['Art_Code'] = 'Gerardo Ortiz'\n",
    "Sinaloense = df[df['Artist'].str.contains(\"Banda Sinaloense MS de Sergio Lizarraga\")]\n",
    "Sinaloense['Art_Code'] = 'Sinaloense'\n",
    "Romeo = df[df['Artist'].str.contains(\"Romeo Santos\")]\n",
    "Romeo['Art_Code'] = 'Romeo Santos'\n",
    "Royce = df[df['Artist'].str.contains(\"Prince Royce\")]\n",
    "Royce['Art_Code'] = 'Prince Royce'\n",
    "Alvarez = df[df['Artist'].str.contains(\"Julion Alvarez y Su Norteno Banda\")]\n",
    "Alvarez['Art_Code'] = 'Julion Alvarez'\n",
    "Lizarraga = df[df['Artist'].str.contains(\"Banda El Recodo de Cruz Lizarraga\")]\n",
    "Lizarraga['Art_Code'] = 'Lizarraga'\n",
    "Recoditos = df[df['Artist'].str.contains(\"Banda Los Recoditos\")]\n",
    "Recoditos['Art_Code'] = 'Banda Los Recoditos'\n",
    "Juanes = df[df['Artist'].str.contains(\"Juanes\")]\n",
    "Juanes['Art_Code'] = 'Juanes'\n",
    "Omar = df[df['Artist'].str.contains(\"Don Omar\")]\n",
    "Omar['Art_Code'] = 'Don Omar'\n",
    "Wisin = df[df['Artist'].str.contains(\"Wisin & Yandel\")]\n",
    "Wisin['Art_Code'] = 'Wisin & Yandel'\n",
    "Mesillas = df[df['Artist'].str.contains(\"La Adictiva Banda San Jose de Mesillas\")]\n",
    "Mesillas['Art_Code'] = 'Mesillas'\n",
    "Intocable = df[df['Artist'].str.contains(\"Intocable\")]\n",
    "Intocable['Art_Code'] = 'Intocable'\n",
    "Aventura = df[df['Artist'].str.contains(\"Aventura\")]\n",
    "Aventura['Art_Code'] = 'Aventura'\n",
    "Arjona = df[df['Artist'].str.contains(\"Ricardo Arjona\")]\n",
    "Arjona['Art_Code'] = 'Ricardo Arjona'\n",
    "Ozuna = df[df['Artist'].str.contains(\"Ozuna\")]\n",
    "Ozuna['Art_Code'] = 'Ozuna'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<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>Artist</th>\n",
       "      <th>Rank</th>\n",
       "      <th>Song Title</th>\n",
       "      <th>Year</th>\n",
       "      <th>Art_Code</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Shakira Featuring Wyclef Jean</td>\n",
       "      <td>2</td>\n",
       "      <td>Hips Don't Lie</td>\n",
       "      <td>2006</td>\n",
       "      <td>Shakira</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Shakira Featuring Alejandro Sanz</td>\n",
       "      <td>36</td>\n",
       "      <td>La Tortura</td>\n",
       "      <td>2006</td>\n",
       "      <td>Shakira</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>Alejandro Sanz Featuring Shakira</td>\n",
       "      <td>36</td>\n",
       "      <td>Te Lo Agradezco, Pero No</td>\n",
       "      <td>2007</td>\n",
       "      <td>Shakira</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>Shakira</td>\n",
       "      <td>9</td>\n",
       "      <td>Loba</td>\n",
       "      <td>2009</td>\n",
       "      <td>Shakira</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>266</th>\n",
       "      <td>Shakira Featuring Freshlyground</td>\n",
       "      <td>29</td>\n",
       "      <td>Waka Waka (This Time For Africa)</td>\n",
       "      <td>2010</td>\n",
       "      <td>Shakira</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>269</th>\n",
       "      <td>Shakira</td>\n",
       "      <td>32</td>\n",
       "      <td>Did It Again (Lo Hecho Esta Hecho)</td>\n",
       "      <td>2010</td>\n",
       "      <td>Shakira</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271</th>\n",
       "      <td>Shakira</td>\n",
       "      <td>34</td>\n",
       "      <td>Gitana</td>\n",
       "      <td>2010</td>\n",
       "      <td>Shakira</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>290</th>\n",
       "      <td>Shakira Featuring El Cata</td>\n",
       "      <td>53</td>\n",
       "      <td>Loca</td>\n",
       "      <td>2010</td>\n",
       "      <td>Shakira</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>323</th>\n",
       "      <td>Shakira Featuring El Cata</td>\n",
       "      <td>11</td>\n",
       "      <td>Loca</td>\n",
       "      <td>2011</td>\n",
       "      <td>Shakira</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>338</th>\n",
       "      <td>Shakira Featuring Pitbull Or El Cata</td>\n",
       "      <td>27</td>\n",
       "      <td>Rabiosa</td>\n",
       "      <td>2011</td>\n",
       "      <td>Shakira</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   Artist  Rank  \\\n",
       "1           Shakira Featuring Wyclef Jean     2   \n",
       "34       Shakira Featuring Alejandro Sanz    36   \n",
       "82       Alejandro Sanz Featuring Shakira    36   \n",
       "152                               Shakira     9   \n",
       "266       Shakira Featuring Freshlyground    29   \n",
       "269                               Shakira    32   \n",
       "271                               Shakira    34   \n",
       "290             Shakira Featuring El Cata    53   \n",
       "323             Shakira Featuring El Cata    11   \n",
       "338  Shakira Featuring Pitbull Or El Cata    27   \n",
       "\n",
       "                             Song Title  Year Art_Code  \n",
       "1                        Hips Don't Lie  2006  Shakira  \n",
       "34                           La Tortura  2006  Shakira  \n",
       "82             Te Lo Agradezco, Pero No  2007  Shakira  \n",
       "152                                Loba  2009  Shakira  \n",
       "266    Waka Waka (This Time For Africa)  2010  Shakira  \n",
       "269  Did It Again (Lo Hecho Esta Hecho)  2010  Shakira  \n",
       "271                              Gitana  2010  Shakira  \n",
       "290                                Loca  2010  Shakira  \n",
       "323                                Loca  2011  Shakira  \n",
       "338                             Rabiosa  2011  Shakira  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_20 = pd.concat([Shakira,Balvin,Arrolladora,Yankee,Calibre,Gerardo,Sinaloense,Romeo,Royce,Alvarez,Lizarraga,Recoditos,Juanes,Omar,Wisin,Mesillas,Intocable,Aventura,Arjona,Ozuna])\n",
    "top_20.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Daddy Yankee           43\n",
       "Ozuna                  36\n",
       "Romeo Santos           36\n",
       "Balvin                 26\n",
       "Prince Royce           23\n",
       "Don Omar               22\n",
       "Arrolladora            22\n",
       "Shakira                22\n",
       "Calibre 50             21\n",
       "Wisin & Yandel         21\n",
       "Gerardo Ortiz          20\n",
       "Sinaloense             18\n",
       "Julion Alvarez         16\n",
       "Lizarraga              14\n",
       "Banda Los Recoditos    13\n",
       "Juanes                 13\n",
       "Aventura               12\n",
       "Mesillas               11\n",
       "Intocable              11\n",
       "Ricardo Arjona          9\n",
       "Name: Art_Code, dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_20['Art_Code'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "top_artist = top_20['Art_Code'].value_counts(normalize=True) *100\n",
    "plt.title('Total Songs by Latin Artist')\n",
    "plt.xlabel('Number of Songs')\n",
    "plt.ylabel('Singer') \n",
    "top_artist.plot.barh().invert_yaxis() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Daddy Yankee           10.513447\n",
       "Romeo Santos            8.801956\n",
       "Ozuna                   8.801956\n",
       "Balvin                  6.356968\n",
       "Prince Royce            5.623472\n",
       "Arrolladora             5.378973\n",
       "Shakira                 5.378973\n",
       "Don Omar                5.378973\n",
       "Wisin & Yandel          5.134474\n",
       "Calibre 50              5.134474\n",
       "Gerardo Ortiz           4.889976\n",
       "Sinaloense              4.400978\n",
       "Julion Alvarez          3.911980\n",
       "Lizarraga               3.422983\n",
       "Juanes                  3.178484\n",
       "Banda Los Recoditos     3.178484\n",
       "Aventura                2.933985\n",
       "Mesillas                2.689487\n",
       "Intocable               2.689487\n",
       "Ricardo Arjona          2.200489\n",
       "Name: Art_Code, dtype: float64"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_artist #percent of artist influence out of top 20"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Summary of Top Latin Artists: \n",
    "- While La Arrolladora Banda el Limon de Rene Camacho and Calibre 50 released the most solo songs on their own, Daddy Yankee, Romeo Santos, Ozuna, and J Balvin released the most individual and collaboration songs combined in the 12 year period between 2006 and 2018. \n",
    "- This relates to the word count as their names and lyrics become influencial in the most common Spanish word list."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python (myENV)",
   "language": "python",
   "name": "myenv"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
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   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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