2-EDA.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "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>track_id</th>\n",
       "      <th>instrumental</th>\n",
       "      <th>lyrics</th>\n",
       "      <th>album</th>\n",
       "      <th>position</th>\n",
       "      <th>title</th>\n",
       "      <th>year</th>\n",
       "      <th>bpm</th>\n",
       "      <th>key</th>\n",
       "      <th>length</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0a8e306a70</td>\n",
       "      <td>True</td>\n",
       "      <td></td>\n",
       "      <td>The Endless River</td>\n",
       "      <td>1</td>\n",
       "      <td>Things Left Unsaid</td>\n",
       "      <td>2014</td>\n",
       "      <td>84</td>\n",
       "      <td>D#</td>\n",
       "      <td>266</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2a14b70199</td>\n",
       "      <td>True</td>\n",
       "      <td></td>\n",
       "      <td>The Endless River</td>\n",
       "      <td>2</td>\n",
       "      <td>It's What We Do</td>\n",
       "      <td>2014</td>\n",
       "      <td>144</td>\n",
       "      <td>Em</td>\n",
       "      <td>377</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>129cbef07e</td>\n",
       "      <td>True</td>\n",
       "      <td></td>\n",
       "      <td>The Endless River</td>\n",
       "      <td>3</td>\n",
       "      <td>Ebb and Flow</td>\n",
       "      <td>2014</td>\n",
       "      <td>80</td>\n",
       "      <td>C</td>\n",
       "      <td>115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0d8b215b70</td>\n",
       "      <td>True</td>\n",
       "      <td></td>\n",
       "      <td>The Endless River</td>\n",
       "      <td>4</td>\n",
       "      <td>Sum</td>\n",
       "      <td>2014</td>\n",
       "      <td>112</td>\n",
       "      <td>Em</td>\n",
       "      <td>288</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>d7b94a6211</td>\n",
       "      <td>True</td>\n",
       "      <td></td>\n",
       "      <td>The Endless River</td>\n",
       "      <td>5</td>\n",
       "      <td>Skins</td>\n",
       "      <td>2014</td>\n",
       "      <td>124</td>\n",
       "      <td>A</td>\n",
       "      <td>157</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     track_id  instrumental lyrics              album  position  \\\n",
       "0  0a8e306a70          True         The Endless River         1   \n",
       "1  2a14b70199          True         The Endless River         2   \n",
       "2  129cbef07e          True         The Endless River         3   \n",
       "3  0d8b215b70          True         The Endless River         4   \n",
       "4  d7b94a6211          True         The Endless River         5   \n",
       "\n",
       "                title  year  bpm key  length  \n",
       "0  Things Left Unsaid  2014   84  D#     266  \n",
       "1     It's What We Do  2014  144  Em     377  \n",
       "2        Ebb and Flow  2014   80   C     115  \n",
       "3                 Sum  2014  112  Em     288  \n",
       "4               Skins  2014  124   A     157  "
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sb\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "df = pd.read_pickle(\"./data/pink-floyd-tracks-and-lyrics.pkl\")\n",
    "\n",
    "album_years = df[[\"album\", \"year\"]].groupby(by=[\"album\"]).first()\n",
    "df.head()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Album Duration\n",
    "\n",
    "How has the album duration changed over the years?"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Total album length over the years"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot: xlabel='year', ylabel='length'>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "album_durations = df[[\"album\", \"length\"]].groupby(by=[\"album\"]).sum()\n",
    "albums = album_years.join(album_durations, on=\"album\").sort_values(by=\"year\")\n",
    "sb.barplot(albums, x=\"year\", y=\"length\", errorbar=None)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Average track length over the years"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "albums = df[[\"album\", \"length\"]].groupby(by=[\"album\"]).mean().sort_values(by=\"length\", ascending=False).reset_index()\n",
    "ax = sb.barplot(albums, y=\"album\", x=\"length\", errorbar=None)\n",
    "ax.set(ylabel=\"Album\", xlabel=\"Track Duration (mean)\")\n",
    "plt.show(ax)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Tempo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "albums = df[[\"album\", \"bpm\"]].groupby(by=[\"album\"]).mean().reset_index()\n",
    "albums = albums.join(album_years, on=\"album\")\n",
    "\n",
    "ax = sb.barplot(albums, y=\"album\", x=\"bpm\", errorbar=None)\n",
    "ax.set(ylabel=\"Album\", xlabel=\"BPM (mean)\")\n",
    "plt.show(ax)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Sentiment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "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>track_id</th>\n",
       "      <th>instrumental</th>\n",
       "      <th>lyrics</th>\n",
       "      <th>album</th>\n",
       "      <th>position</th>\n",
       "      <th>title</th>\n",
       "      <th>year</th>\n",
       "      <th>bpm</th>\n",
       "      <th>key</th>\n",
       "      <th>length</th>\n",
       "      <th>polarity</th>\n",
       "      <th>subjectivity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0a8e306a70</td>\n",
       "      <td>True</td>\n",
       "      <td></td>\n",
       "      <td>The Endless River</td>\n",
       "      <td>1</td>\n",
       "      <td>Things Left Unsaid</td>\n",
       "      <td>2014</td>\n",
       "      <td>84</td>\n",
       "      <td>D#</td>\n",
       "      <td>266</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2a14b70199</td>\n",
       "      <td>True</td>\n",
       "      <td></td>\n",
       "      <td>The Endless River</td>\n",
       "      <td>2</td>\n",
       "      <td>It's What We Do</td>\n",
       "      <td>2014</td>\n",
       "      <td>144</td>\n",
       "      <td>Em</td>\n",
       "      <td>377</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>129cbef07e</td>\n",
       "      <td>True</td>\n",
       "      <td></td>\n",
       "      <td>The Endless River</td>\n",
       "      <td>3</td>\n",
       "      <td>Ebb and Flow</td>\n",
       "      <td>2014</td>\n",
       "      <td>80</td>\n",
       "      <td>C</td>\n",
       "      <td>115</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0d8b215b70</td>\n",
       "      <td>True</td>\n",
       "      <td></td>\n",
       "      <td>The Endless River</td>\n",
       "      <td>4</td>\n",
       "      <td>Sum</td>\n",
       "      <td>2014</td>\n",
       "      <td>112</td>\n",
       "      <td>Em</td>\n",
       "      <td>288</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>d7b94a6211</td>\n",
       "      <td>True</td>\n",
       "      <td></td>\n",
       "      <td>The Endless River</td>\n",
       "      <td>5</td>\n",
       "      <td>Skins</td>\n",
       "      <td>2014</td>\n",
       "      <td>124</td>\n",
       "      <td>A</td>\n",
       "      <td>157</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>fcd9c13b8a</td>\n",
       "      <td>True</td>\n",
       "      <td></td>\n",
       "      <td>The Endless River</td>\n",
       "      <td>6</td>\n",
       "      <td>Unsung</td>\n",
       "      <td>2014</td>\n",
       "      <td>129</td>\n",
       "      <td>C</td>\n",
       "      <td>67</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>e8efe1a9e2</td>\n",
       "      <td>True</td>\n",
       "      <td></td>\n",
       "      <td>The Endless River</td>\n",
       "      <td>7</td>\n",
       "      <td>Anisina</td>\n",
       "      <td>2014</td>\n",
       "      <td>143</td>\n",
       "      <td>C</td>\n",
       "      <td>196</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>cb48c3b9c7</td>\n",
       "      <td>True</td>\n",
       "      <td></td>\n",
       "      <td>The Endless River</td>\n",
       "      <td>8</td>\n",
       "      <td>The Lost Art of Conversation</td>\n",
       "      <td>2014</td>\n",
       "      <td>90</td>\n",
       "      <td>C#m</td>\n",
       "      <td>102</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>f3250f8fbe</td>\n",
       "      <td>True</td>\n",
       "      <td></td>\n",
       "      <td>The Endless River</td>\n",
       "      <td>9</td>\n",
       "      <td>On Noodle Street</td>\n",
       "      <td>2014</td>\n",
       "      <td>105</td>\n",
       "      <td>C#m</td>\n",
       "      <td>102</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>5aaa315d37</td>\n",
       "      <td>True</td>\n",
       "      <td></td>\n",
       "      <td>The Endless River</td>\n",
       "      <td>10</td>\n",
       "      <td>Night Light</td>\n",
       "      <td>2014</td>\n",
       "      <td>130</td>\n",
       "      <td>Cm</td>\n",
       "      <td>102</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>182f1d8b1b</td>\n",
       "      <td>True</td>\n",
       "      <td></td>\n",
       "      <td>The Endless River</td>\n",
       "      <td>11</td>\n",
       "      <td>Allons-Y (1)</td>\n",
       "      <td>2014</td>\n",
       "      <td>113</td>\n",
       "      <td>Em</td>\n",
       "      <td>117</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1680c29ea2</td>\n",
       "      <td>True</td>\n",
       "      <td></td>\n",
       "      <td>The Endless River</td>\n",
       "      <td>12</td>\n",
       "      <td>Autumn '68</td>\n",
       "      <td>2014</td>\n",
       "      <td>54</td>\n",
       "      <td>Em</td>\n",
       "      <td>95</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>8cdb78d3e6</td>\n",
       "      <td>True</td>\n",
       "      <td></td>\n",
       "      <td>The Endless River</td>\n",
       "      <td>13</td>\n",
       "      <td>Allons-y (2)</td>\n",
       "      <td>2014</td>\n",
       "      <td>113</td>\n",
       "      <td>A</td>\n",
       "      <td>92</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>f54d29e3bc</td>\n",
       "      <td>True</td>\n",
       "      <td></td>\n",
       "      <td>The Endless River</td>\n",
       "      <td>14</td>\n",
       "      <td>Talkin' Hawkin'</td>\n",
       "      <td>2014</td>\n",
       "      <td>83</td>\n",
       "      <td>A</td>\n",
       "      <td>209</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>443ff6cd82</td>\n",
       "      <td>False</td>\n",
       "      <td>Speech has allowed the communication of ideas\\...</td>\n",
       "      <td>The Endless River</td>\n",
       "      <td>15</td>\n",
       "      <td>Calling</td>\n",
       "      <td>2014</td>\n",
       "      <td>86</td>\n",
       "      <td>C</td>\n",
       "      <td>217</td>\n",
       "      <td>0.305556</td>\n",
       "      <td>0.685648</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>deb23e47cf</td>\n",
       "      <td>True</td>\n",
       "      <td></td>\n",
       "      <td>The Endless River</td>\n",
       "      <td>16</td>\n",
       "      <td>Eyes to Pearls</td>\n",
       "      <td>2014</td>\n",
       "      <td>126</td>\n",
       "      <td>Bm</td>\n",
       "      <td>111</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>96673bff53</td>\n",
       "      <td>True</td>\n",
       "      <td></td>\n",
       "      <td>The Endless River</td>\n",
       "      <td>17</td>\n",
       "      <td>Surfacing</td>\n",
       "      <td>2014</td>\n",
       "      <td>67</td>\n",
       "      <td>C</td>\n",
       "      <td>166</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>d51ba92b36</td>\n",
       "      <td>True</td>\n",
       "      <td>We bitch and we fight\\nDiss each other on sigh...</td>\n",
       "      <td>The Endless River</td>\n",
       "      <td>18</td>\n",
       "      <td>Louder Than Words</td>\n",
       "      <td>2014</td>\n",
       "      <td>112</td>\n",
       "      <td>A</td>\n",
       "      <td>396</td>\n",
       "      <td>0.215000</td>\n",
       "      <td>0.495000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>0ab0cd5823</td>\n",
       "      <td>True</td>\n",
       "      <td></td>\n",
       "      <td>The Division Bell</td>\n",
       "      <td>1</td>\n",
       "      <td>Cluster One</td>\n",
       "      <td>1994</td>\n",
       "      <td>98</td>\n",
       "      <td>C</td>\n",
       "      <td>358</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>73e668e86c</td>\n",
       "      <td>False</td>\n",
       "      <td>As you look around this room tonight\\nSettle i...</td>\n",
       "      <td>The Division Bell</td>\n",
       "      <td>2</td>\n",
       "      <td>What Do You Want From Me</td>\n",
       "      <td>1994</td>\n",
       "      <td>104</td>\n",
       "      <td>E</td>\n",
       "      <td>261</td>\n",
       "      <td>0.172196</td>\n",
       "      <td>0.537901</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>94db03dd20</td>\n",
       "      <td>False</td>\n",
       "      <td>Did you know...it was all going to go so wrong...</td>\n",
       "      <td>The Division Bell</td>\n",
       "      <td>3</td>\n",
       "      <td>Poles Apart</td>\n",
       "      <td>1994</td>\n",
       "      <td>61</td>\n",
       "      <td>G</td>\n",
       "      <td>424</td>\n",
       "      <td>-0.007760</td>\n",
       "      <td>0.632363</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>6f735fbe55</td>\n",
       "      <td>True</td>\n",
       "      <td></td>\n",
       "      <td>The Division Bell</td>\n",
       "      <td>4</td>\n",
       "      <td>Marooned</td>\n",
       "      <td>1994</td>\n",
       "      <td>74</td>\n",
       "      <td>G</td>\n",
       "      <td>328</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>451dfc3a26</td>\n",
       "      <td>False</td>\n",
       "      <td>On the day the wall came down\\nThey threw the ...</td>\n",
       "      <td>The Division Bell</td>\n",
       "      <td>5</td>\n",
       "      <td>A Great Day for Freedom</td>\n",
       "      <td>1994</td>\n",
       "      <td>84</td>\n",
       "      <td>C</td>\n",
       "      <td>258</td>\n",
       "      <td>0.022099</td>\n",
       "      <td>0.389012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>33b6c77c68</td>\n",
       "      <td>False</td>\n",
       "      <td>From morning to night I stayed out of sight\\nD...</td>\n",
       "      <td>The Division Bell</td>\n",
       "      <td>6</td>\n",
       "      <td>Wearing the Inside Out</td>\n",
       "      <td>1994</td>\n",
       "      <td>123</td>\n",
       "      <td>A#</td>\n",
       "      <td>408</td>\n",
       "      <td>-0.039966</td>\n",
       "      <td>0.369955</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>b59cc6841c</td>\n",
       "      <td>False</td>\n",
       "      <td>Her love rains down on me as easy as the breez...</td>\n",
       "      <td>The Division Bell</td>\n",
       "      <td>7</td>\n",
       "      <td>Take It Back</td>\n",
       "      <td>1994</td>\n",
       "      <td>112</td>\n",
       "      <td>G</td>\n",
       "      <td>372</td>\n",
       "      <td>0.106944</td>\n",
       "      <td>0.222222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>f5a48fcdf6</td>\n",
       "      <td>False</td>\n",
       "      <td>Where were you when I was burned and broken\\nW...</td>\n",
       "      <td>The Division Bell</td>\n",
       "      <td>8</td>\n",
       "      <td>Coming Back to Life</td>\n",
       "      <td>1994</td>\n",
       "      <td>88</td>\n",
       "      <td>C</td>\n",
       "      <td>379</td>\n",
       "      <td>-0.144444</td>\n",
       "      <td>0.355556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>3a2bfd8523</td>\n",
       "      <td>False</td>\n",
       "      <td>For millions of years mankind lived just like ...</td>\n",
       "      <td>The Division Bell</td>\n",
       "      <td>9</td>\n",
       "      <td>Keep Talking</td>\n",
       "      <td>1994</td>\n",
       "      <td>99</td>\n",
       "      <td>Em</td>\n",
       "      <td>371</td>\n",
       "      <td>0.222143</td>\n",
       "      <td>0.667698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>8579d9d453</td>\n",
       "      <td>False</td>\n",
       "      <td>I was spending my time in the doldrums\\nI was ...</td>\n",
       "      <td>The Division Bell</td>\n",
       "      <td>10</td>\n",
       "      <td>Lost for Words</td>\n",
       "      <td>1994</td>\n",
       "      <td>96</td>\n",
       "      <td>C</td>\n",
       "      <td>314</td>\n",
       "      <td>0.086054</td>\n",
       "      <td>0.612245</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>f28985a3c7</td>\n",
       "      <td>False</td>\n",
       "      <td>Beyond the horizon of the place we lived when ...</td>\n",
       "      <td>The Division Bell</td>\n",
       "      <td>11</td>\n",
       "      <td>High Hopes</td>\n",
       "      <td>1994</td>\n",
       "      <td>75</td>\n",
       "      <td>Cm</td>\n",
       "      <td>511</td>\n",
       "      <td>-0.006536</td>\n",
       "      <td>0.423693</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>ce439d2fc5</td>\n",
       "      <td>False</td>\n",
       "      <td>When the child like view of the world went, no...</td>\n",
       "      <td>A Momentary Lapse of Reason</td>\n",
       "      <td>1</td>\n",
       "      <td>Signs of Life</td>\n",
       "      <td>1987</td>\n",
       "      <td>73</td>\n",
       "      <td>G#m</td>\n",
       "      <td>264</td>\n",
       "      <td>-0.125000</td>\n",
       "      <td>0.375000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      track_id  instrumental  \\\n",
       "0   0a8e306a70          True   \n",
       "1   2a14b70199          True   \n",
       "2   129cbef07e          True   \n",
       "3   0d8b215b70          True   \n",
       "4   d7b94a6211          True   \n",
       "5   fcd9c13b8a          True   \n",
       "6   e8efe1a9e2          True   \n",
       "7   cb48c3b9c7          True   \n",
       "8   f3250f8fbe          True   \n",
       "9   5aaa315d37          True   \n",
       "10  182f1d8b1b          True   \n",
       "11  1680c29ea2          True   \n",
       "12  8cdb78d3e6          True   \n",
       "13  f54d29e3bc          True   \n",
       "14  443ff6cd82         False   \n",
       "15  deb23e47cf          True   \n",
       "16  96673bff53          True   \n",
       "17  d51ba92b36          True   \n",
       "18  0ab0cd5823          True   \n",
       "19  73e668e86c         False   \n",
       "20  94db03dd20         False   \n",
       "21  6f735fbe55          True   \n",
       "22  451dfc3a26         False   \n",
       "23  33b6c77c68         False   \n",
       "24  b59cc6841c         False   \n",
       "25  f5a48fcdf6         False   \n",
       "26  3a2bfd8523         False   \n",
       "27  8579d9d453         False   \n",
       "28  f28985a3c7         False   \n",
       "29  ce439d2fc5         False   \n",
       "\n",
       "                                               lyrics  \\\n",
       "0                                                       \n",
       "1                                                       \n",
       "2                                                       \n",
       "3                                                       \n",
       "4                                                       \n",
       "5                                                       \n",
       "6                                                       \n",
       "7                                                       \n",
       "8                                                       \n",
       "9                                                       \n",
       "10                                                      \n",
       "11                                                      \n",
       "12                                                      \n",
       "13                                                      \n",
       "14  Speech has allowed the communication of ideas\\...   \n",
       "15                                                      \n",
       "16                                                      \n",
       "17  We bitch and we fight\\nDiss each other on sigh...   \n",
       "18                                                      \n",
       "19  As you look around this room tonight\\nSettle i...   \n",
       "20  Did you know...it was all going to go so wrong...   \n",
       "21                                                      \n",
       "22  On the day the wall came down\\nThey threw the ...   \n",
       "23  From morning to night I stayed out of sight\\nD...   \n",
       "24  Her love rains down on me as easy as the breez...   \n",
       "25  Where were you when I was burned and broken\\nW...   \n",
       "26  For millions of years mankind lived just like ...   \n",
       "27  I was spending my time in the doldrums\\nI was ...   \n",
       "28  Beyond the horizon of the place we lived when ...   \n",
       "29  When the child like view of the world went, no...   \n",
       "\n",
       "                          album  position                         title  year  \\\n",
       "0             The Endless River         1            Things Left Unsaid  2014   \n",
       "1             The Endless River         2               It's What We Do  2014   \n",
       "2             The Endless River         3                  Ebb and Flow  2014   \n",
       "3             The Endless River         4                           Sum  2014   \n",
       "4             The Endless River         5                         Skins  2014   \n",
       "5             The Endless River         6                        Unsung  2014   \n",
       "6             The Endless River         7                       Anisina  2014   \n",
       "7             The Endless River         8  The Lost Art of Conversation  2014   \n",
       "8             The Endless River         9              On Noodle Street  2014   \n",
       "9             The Endless River        10                   Night Light  2014   \n",
       "10            The Endless River        11                  Allons-Y (1)  2014   \n",
       "11            The Endless River        12                    Autumn '68  2014   \n",
       "12            The Endless River        13                  Allons-y (2)  2014   \n",
       "13            The Endless River        14               Talkin' Hawkin'  2014   \n",
       "14            The Endless River        15                       Calling  2014   \n",
       "15            The Endless River        16                Eyes to Pearls  2014   \n",
       "16            The Endless River        17                     Surfacing  2014   \n",
       "17            The Endless River        18             Louder Than Words  2014   \n",
       "18            The Division Bell         1                   Cluster One  1994   \n",
       "19            The Division Bell         2      What Do You Want From Me  1994   \n",
       "20            The Division Bell         3                   Poles Apart  1994   \n",
       "21            The Division Bell         4                      Marooned  1994   \n",
       "22            The Division Bell         5       A Great Day for Freedom  1994   \n",
       "23            The Division Bell         6        Wearing the Inside Out  1994   \n",
       "24            The Division Bell         7                  Take It Back  1994   \n",
       "25            The Division Bell         8           Coming Back to Life  1994   \n",
       "26            The Division Bell         9                  Keep Talking  1994   \n",
       "27            The Division Bell        10                Lost for Words  1994   \n",
       "28            The Division Bell        11                    High Hopes  1994   \n",
       "29  A Momentary Lapse of Reason         1                 Signs of Life  1987   \n",
       "\n",
       "    bpm  key  length  polarity  subjectivity  \n",
       "0    84   D#     266       NaN           NaN  \n",
       "1   144   Em     377       NaN           NaN  \n",
       "2    80    C     115       NaN           NaN  \n",
       "3   112   Em     288       NaN           NaN  \n",
       "4   124    A     157       NaN           NaN  \n",
       "5   129    C      67       NaN           NaN  \n",
       "6   143    C     196       NaN           NaN  \n",
       "7    90  C#m     102       NaN           NaN  \n",
       "8   105  C#m     102       NaN           NaN  \n",
       "9   130   Cm     102       NaN           NaN  \n",
       "10  113   Em     117       NaN           NaN  \n",
       "11   54   Em      95       NaN           NaN  \n",
       "12  113    A      92       NaN           NaN  \n",
       "13   83    A     209       NaN           NaN  \n",
       "14   86    C     217  0.305556      0.685648  \n",
       "15  126   Bm     111       NaN           NaN  \n",
       "16   67    C     166       NaN           NaN  \n",
       "17  112    A     396  0.215000      0.495000  \n",
       "18   98    C     358       NaN           NaN  \n",
       "19  104    E     261  0.172196      0.537901  \n",
       "20   61    G     424 -0.007760      0.632363  \n",
       "21   74    G     328       NaN           NaN  \n",
       "22   84    C     258  0.022099      0.389012  \n",
       "23  123   A#     408 -0.039966      0.369955  \n",
       "24  112    G     372  0.106944      0.222222  \n",
       "25   88    C     379 -0.144444      0.355556  \n",
       "26   99   Em     371  0.222143      0.667698  \n",
       "27   96    C     314  0.086054      0.612245  \n",
       "28   75   Cm     511 -0.006536      0.423693  \n",
       "29   73  G#m     264 -0.125000      0.375000  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import spacy\n",
    "from spacytextblob.spacytextblob import SpacyTextBlob\n",
    "\n",
    "nlp = spacy.load('en_core_web_sm')\n",
    "nlp.add_pipe('spacytextblob')\n",
    "\n",
    "def polarity(row):\n",
    "    if row.lyrics:\n",
    "        doc = nlp(row.lyrics)\n",
    "        return doc._.blob.polarity\n",
    "\n",
    "def subjectivity(row):\n",
    "    if row.lyrics:\n",
    "        doc = nlp(row.lyrics)\n",
    "        return doc._.blob.subjectivity\n",
    "\n",
    "df[\"polarity\"] = df.apply(polarity, axis=1)\n",
    "df[\"subjectivity\"] = df.apply(subjectivity, axis=1)\n",
    "df.head(30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_pickle(\"./data/pink-floyd-tracks-and-lyrics-sentiment.pkl\")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Album sentiment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = df[[\"album\", \"polarity\"]].groupby(by=[\"album\"]).mean().sort_values(by=\"polarity\", ascending=False).reset_index()\n",
    "\n",
    "ax = sb.barplot(data, y=\"album\", x=\"polarity\", errorbar=None)\n",
    "ax.set(ylabel=\"Album\", xlabel=\"Polarity (mean)\")\n",
    "plt.show(ax)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So it appears most albums are toward the positive side of sentiment with The Endless River being the most positive and The Wall being the most negative. Let's take a look at the different keys."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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>key</th>\n",
       "      <th>0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>G</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>C</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>A</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>D</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Em</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Am</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>F</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Bm</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Gm</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>E</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Dm</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Cm</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>F#m</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>B</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>A#</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>C#m</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>G#</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>G#m</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>D#</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>D#m</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>C#</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    key   0\n",
       "0     G  31\n",
       "1     C  23\n",
       "2     A  21\n",
       "3     D  21\n",
       "4    Em  11\n",
       "5    Am   9\n",
       "6     F   8\n",
       "7    Bm   7\n",
       "8    Gm   6\n",
       "9     E   5\n",
       "10   Dm   4\n",
       "11   Cm   3\n",
       "12  F#m   3\n",
       "13    B   3\n",
       "14   A#   2\n",
       "15  C#m   2\n",
       "16   G#   2\n",
       "17  G#m   2\n",
       "18   D#   2\n",
       "19  D#m   1\n",
       "20   C#   1"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "keys = df.groupby(by=[\"key\"]).size().sort_values(ascending=False).reset_index()\n",
    "keys"
   ]
  }
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