plot_songs_jupyter.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from matplotlib import pyplot as plt\n",
    "import pylab"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "songs = pd.read_csv('../ip-seminarski/MillionSongsSubset.csv', encoding = \"ISO-8859-1\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(10000, 33)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "songs.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "number_of_columns = songs.shape[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['SongNumber', 'SongID', 'AlbumID', 'AlbumName', 'ArtistID',\n",
       "       'ArtistLatitude', 'ArtistLocation', 'ArtistLongitude', 'ArtistName',\n",
       "       'Danceability', 'Duration', 'KeySignature', 'KeySignatureConfidence',\n",
       "       'Loudness', 'Tempo', 'TimeSignature', 'TimeSignatureConfidence',\n",
       "       'Title', 'Year', 'ArtistFamiliarity', 'ArtistHotttnesss', 'AudioMd5',\n",
       "       'EndOfFadeIn', 'Energy', 'Key', 'KeyConfidence', 'Mode',\n",
       "       'ModeConfidence', 'Release', 'SongHotttness', 'StartOfFadeOut', 'Genre',\n",
       "       'TrackId'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "songs.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "s = songs.to_dict()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "42778"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r = 0\n",
    "for key in s.keys():\n",
    "    for i in range (0, songs.shape[0]):\n",
    "        if pd.isnull(songs[key][i]):\n",
    "            r = r + 1\n",
    "            s[key][i] = None\n",
    "r"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Pastel1 tab20c tab20b tab20"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7efbcde61ac8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.xticks(range(0, number_of_columns), songs.columns, rotation='vertical')\n",
    "plt.imshow(songs.isnull(), cmap='tab20c', aspect='auto')\n",
    "plt.savefig(\"/home/m/Desktop/before_processing.png\", dpi=200,  bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "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>SongNumber</th>\n",
       "      <th>SongID</th>\n",
       "      <th>AlbumID</th>\n",
       "      <th>AlbumName</th>\n",
       "      <th>ArtistID</th>\n",
       "      <th>ArtistLatitude</th>\n",
       "      <th>ArtistLocation</th>\n",
       "      <th>ArtistLongitude</th>\n",
       "      <th>ArtistName</th>\n",
       "      <th>Danceability</th>\n",
       "      <th>...</th>\n",
       "      <th>Energy</th>\n",
       "      <th>Key</th>\n",
       "      <th>KeyConfidence</th>\n",
       "      <th>Mode</th>\n",
       "      <th>ModeConfidence</th>\n",
       "      <th>Release</th>\n",
       "      <th>SongHotttness</th>\n",
       "      <th>StartOfFadeOut</th>\n",
       "      <th>Genre</th>\n",
       "      <th>TrackId</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>SOBQSLF12A8C139785</td>\n",
       "      <td>296721</td>\n",
       "      <td>The Heart Of Christmas</td>\n",
       "      <td>ARLNSD41187FB4D9A0</td>\n",
       "      <td>42.50382</td>\n",
       "      <td>Italy</td>\n",
       "      <td>12.57347</td>\n",
       "      <td>Sergio Franchi</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8</td>\n",
       "      <td>0.217</td>\n",
       "      <td>1</td>\n",
       "      <td>0.241</td>\n",
       "      <td>The Heart Of Christmas</td>\n",
       "      <td>0.641771</td>\n",
       "      <td>165.581</td>\n",
       "      <td>NaN</td>\n",
       "      <td>TRAGGVT128F428F842</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>SOMDTTT12A8C13F1CB</td>\n",
       "      <td>303421</td>\n",
       "      <td>Soul Friends</td>\n",
       "      <td>ARISHTQ1187FB3E6F0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Ben E. King</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10</td>\n",
       "      <td>0.608</td>\n",
       "      <td>1</td>\n",
       "      <td>0.596</td>\n",
       "      <td>Soul Friends</td>\n",
       "      <td>NaN</td>\n",
       "      <td>159.997</td>\n",
       "      <td>classic pop and rock</td>\n",
       "      <td>TRAGGSJ128F42A5AE1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>SOGOJEP12AB018D355</td>\n",
       "      <td>675211</td>\n",
       "      <td>Ghetto Fabolous [Explicit Version]</td>\n",
       "      <td>AR3FE581187FB3F90A</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Brooklyn NY</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Fabolous</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.164</td>\n",
       "      <td>1</td>\n",
       "      <td>0.080</td>\n",
       "      <td>Ghetto Fabolous [Explicit Version]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>212.869</td>\n",
       "      <td>hip hop rnb and dance hall</td>\n",
       "      <td>TRAGGKN12903CCA8EE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>SOLAZFN12AB018A094</td>\n",
       "      <td>725669</td>\n",
       "      <td>Afro-Indio</td>\n",
       "      <td>AR1N6N61187FB4E25E</td>\n",
       "      <td>23.08330</td>\n",
       "      <td>Havana Cuba [Jesus Maria]</td>\n",
       "      <td>-82.41670</td>\n",
       "      <td>Mongo Santamaria</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.579</td>\n",
       "      <td>0</td>\n",
       "      <td>0.696</td>\n",
       "      <td>Afro-Indio</td>\n",
       "      <td>NaN</td>\n",
       "      <td>182.503</td>\n",
       "      <td>NaN</td>\n",
       "      <td>TRAGGXK12903CDA84B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>SOJPZIX12AB018B2BD</td>\n",
       "      <td>769725</td>\n",
       "      <td>Riddim Of Silence</td>\n",
       "      <td>ARJJRZ41187FB4C856</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Floor</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.045</td>\n",
       "      <td>1</td>\n",
       "      <td>0.298</td>\n",
       "      <td>Riddim Of Silence</td>\n",
       "      <td>0.266955</td>\n",
       "      <td>202.368</td>\n",
       "      <td>NaN</td>\n",
       "      <td>TRAGGMY12903CD9533</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 33 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   SongNumber              SongID  AlbumID  \\\n",
       "0           1  SOBQSLF12A8C139785   296721   \n",
       "1           2  SOMDTTT12A8C13F1CB   303421   \n",
       "2           3  SOGOJEP12AB018D355   675211   \n",
       "3           4  SOLAZFN12AB018A094   725669   \n",
       "4           5  SOJPZIX12AB018B2BD   769725   \n",
       "\n",
       "                            AlbumName            ArtistID  ArtistLatitude  \\\n",
       "0              The Heart Of Christmas  ARLNSD41187FB4D9A0        42.50382   \n",
       "1                        Soul Friends  ARISHTQ1187FB3E6F0             NaN   \n",
       "2  Ghetto Fabolous [Explicit Version]  AR3FE581187FB3F90A             NaN   \n",
       "3                          Afro-Indio  AR1N6N61187FB4E25E        23.08330   \n",
       "4                   Riddim Of Silence  ARJJRZ41187FB4C856             NaN   \n",
       "\n",
       "              ArtistLocation  ArtistLongitude        ArtistName  Danceability  \\\n",
       "0                      Italy         12.57347    Sergio Franchi           NaN   \n",
       "1                        NaN              NaN       Ben E. King           NaN   \n",
       "2                Brooklyn NY              NaN          Fabolous           NaN   \n",
       "3  Havana Cuba [Jesus Maria]        -82.41670  Mongo Santamaria           NaN   \n",
       "4                        NaN              NaN             Floor           NaN   \n",
       "\n",
       "          ...          Energy  Key  KeyConfidence  Mode  ModeConfidence  \\\n",
       "0         ...             0.0    8          0.217     1           0.241   \n",
       "1         ...             0.0   10          0.608     1           0.596   \n",
       "2         ...             0.0    1          0.164     1           0.080   \n",
       "3         ...             0.0    2          0.579     0           0.696   \n",
       "4         ...             0.0    0          0.045     1           0.298   \n",
       "\n",
       "                              Release  SongHotttness StartOfFadeOut  \\\n",
       "0              The Heart Of Christmas       0.641771        165.581   \n",
       "1                        Soul Friends            NaN        159.997   \n",
       "2  Ghetto Fabolous [Explicit Version]            NaN        212.869   \n",
       "3                          Afro-Indio            NaN        182.503   \n",
       "4                   Riddim Of Silence       0.266955        202.368   \n",
       "\n",
       "                        Genre             TrackId  \n",
       "0                         NaN  TRAGGVT128F428F842  \n",
       "1        classic pop and rock  TRAGGSJ128F42A5AE1  \n",
       "2  hip hop rnb and dance hall  TRAGGKN12903CCA8EE  \n",
       "3                         NaN  TRAGGXK12903CDA84B  \n",
       "4                         NaN  TRAGGMY12903CD9533  \n",
       "\n",
       "[5 rows x 33 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "songs.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5320"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.sum(np.isnan(songs['Year']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10000"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "da_0 = np.sum(np.isnan(songs['Danceability']))\n",
    "da_0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.sum(pd.isnull(songs['Loudness']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# fill in the year of other songs with mean?? no"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "songs = pd.read_csv('../ip-seminarski/MillionSongsSubsetProcessed.csv', encoding = \"ISO-8859-1\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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RW+a/ezrwROCHEbG5pIcr+c+mwW0AwzlBmo236TYCrwSsFhEPAbOA24Adgf3y7+cBHyIlgN3zzwDfBI6LiMjb50t6ALgxIq4HtgMuGP3fWD6+wJlZl02ZACT9NiI+BdwM3Af8AFgA3CVpUX7aQmB2/nk2cEv+20URcTewbt5+YV/o/r9ZLCIOBg4GWHmtDZbjXzKzqfjmp15NOf/TqQJ6HOnufVPgLuAbwK4DntqbVCgm+d1k25feIM0F5kKaC2iq4xuFq4CGa8qb1MpzN9B6NWUqiOlUAf0NcKOkPwJExOnAC4G1I2KlXArYCLg1P38hsDGwMCJWAtYC7ujb3tP/N7Xwm9S6yu/9ejXl/E8nAdwMPD8iZpGqgHYCLgF+AryW1BPoAODb+fln5McX5N//WJIi4gzgaxHxaVIj8GbAxQX/l2XmEsBwTXmTWnkuAdSrNSUASRdFxDdJXT0XAZeRqmi+B8yPiI/lbSfkPzkB+Epu5L2D1PMHSVfnHkTX5DiH1tkDCPwmte7ye79eTTn/Xg/ArINcAqhX5SWAOXO8HsBU2v4haPvxW3382tarKee/0wmgam5jMLMm63QCaEoWNjOrQ6cTgO/Qh3OCNKtGa3oB2fJrexuAjS+3H9WrKeen0wmgKS/C8mr78Zt1lUsADdD2u6C2H7/Vx6+tQccTgJlZHZqSgJ0AKuQ6emsqlx7r5SogM6uNL9AGHU8A/hBYV7kEUK+mnJ9OJwCzrmrKBairXAVkZrVxCaBeTTk/nU4Abf8QtP34rT5+bQ06ngCq5l5A1lS+eaiXq4AawG9S6yq/9+vVlPPf6QTgO/ThmvImtfJcAqiXSwAd0PY2ABtfvkDXqynn30tCmnWQSwD18pKQZlYbX6ANOp4AXIUynC8S48slAIOOJwC/Sc2sDk259qxQ9wGYmVk9Ol0CMOuqptyBWr06nQDaXg/a9uO3+vi9Uy+PA+gANzKbWZN1OgH4LsXMuqzTCcDMrA5Nufl0AjDroKZcgKxe7gZqZtZRnS4BuJF2ON8lji/3AjLoeALwm9TMuqzTCcAlgOGcIM2q4XEAZmYd1ZSbq04ngKa8CGYzze99g44nAFcBDeeLxPhyI3C9XAXUAH6TmlmXNXpJyIj4I/CbZfiT9YDbKzocx3d8x68ufpuPvYnxnyxp/ame1OgEsKwi4pLprIPp+I7v+M2K3+Zjb3N8jwQ2M+soJwAzs44atwQw1/Ed3/FbGb/Nx97a+GPVBmBmZtM3biUAMzObJicAM7OOcgIwa7GIWC0i5hSOuWJE7FkypjWTE8CYq+ICYdMXEc+IiEPy19MLx34VcDnw/fz4WRFxxqhxJT0MvGPUOFOJiHWq3ocN1+oEEBGPj4gTIuKs/HjLiHhT4X1sHxEH5Z/Xj4hNC8efHREvjIgX974Kxq7kAtEXf1ZEvD8ivpgfbxYRrywVP8dcPyLeFxFzI+LE3lfB+K+LiDXyz0dGxOkR8ZxCsd8KnAo8KX+dGhFvKRE7+xCwHXAXgKTLgU0KxT47It4RERtGxJq9r0Kxey6KiG9ExG4REYVjE8n+EfGB/PhJEbFdwfibR8SPIuKX+fFWEXFkW+IDIKm1X8BZwF7AFfnxSsBVBeN/EPgO8Ov8+InAzwvG/yRwE3Bm3s93gDMKxl8ArAVc1rftyoLxvw68B/hlfrwacHnh1/i/83naC9iz91Uw/pX5+/bAz4DdgYtKxQZW73u8euHzf1H+Xvz1BW4Z8HVz4dc2gJ2BU4D/AT4ObF4w/vHA54Br8+PHAb8oGP88UgLuP/+/bEt8Sa2fDG49SadGxBEAkhZFxMMF4/8t8Gzg0hz/1t7dYiF7AHMkPVAwZr9Fku6u4Oaq56mS9o6IfQEk3VfBndwsSe8tHLNf7/3yCuB4Sd+OiA8Vih3AQ32PH8rbSvllROwHrBgRmwFvJyXMkUnauEScKfYh4BzgnIh4KfBV4C0RcQVwuKQLRtzF8yQ9JyIuy/u7MyIeM2LMfrMkXTzhLb+oRfFbnwD+EhHrAul2IuL5wN0F4z8oSRHRi//YgrEBbgBWBqpKAJVdILIHI2I1lpz/p1L+f/luROwm6czCcXt+GxFfAP4G+GRErEK5qtGvABdGxGmkC/8ewLxCsQHeBvwL6ZyfApwNfLRU8IjYAtgSWLW3TdLXCsZfF9gfeAPwe9L/cwbwLOAbwKjVrQ9FxIoseX+uDzwyYsx+t+f3fC/+a4HbWhS/9VVAzwF+Trro/xz4NbBVwfjvBr5AulC/GbgAeFvB+KcB1+d9/Efvq2D8WcBRwC+AS/LPqxaMvzOpmPpH4GRSddYOhV/je0gf2vvzz/cAfy58jl4DbJYfbwjsUjD+c4F35a/nljw3VX4BRwI/Bf5ASmR/AE4vvI9fA+8HNhrwu/cWiP96UkJZmN/71wGvK3j8TwF+CNwL/BY4H9ik4vhPLvkatH4kcESsBMwh3WFdJ+mhKf5kWePvDOyS458t6ZyCsQ8YtF1SybvESuW7uOeTzs+FkqqcEre4fIe1UNIDEbEDsBVwkqS7CsXfCvhrUhL7uaQrC8T8DvmucBBJry6wj6tId+KXSto6IjYEvlAidt8+QpIi4rGS/lIq7oR9bAHsRHp//kjStRXs47HACpLuKRhzBeC1SlXcxeMv3k+bE0Au3r2C1PNhcXWWpE/XdUzLKtdJbp4fFklgM3GB6NvXVjz6/J9eKn7ex6uBXu+ocyV9t2Dsy4FtSf/D2aQ7xjmSdisQ+1+A/YBvkS5AuwMnS/rEiHFfMuz3ks4bJX7ex8WStouIBcAOwP+SOlg8Y9TYfft4AXACqaH8SRGxNfAPkkbqKTVV91JJd4wSv28/hwFfJpVKv0iqkThc0g8Kxf+ppGK9AgdpexvAd0hVA1dRsG4vIu5h+AW0SHe4fMc5j1R1EsDGEXGApJ+OGPpT+ftrgCeQGtcA9s37KiJ3x9wKuJol519AsQQQEUeTqlFOzpsOi4jtJR1eaBePKHUeeA3wWUnH9hoNC9gf2EbSvQARcRSpZ9ZICaB3gY+IwyQd0/+7fFEaOQEAl0XE2sCJpOrDP5M7QxT0WeBlpKSLpCuiTDfoBaT3YZC6396Zf14buJnR2xZ63ijpmIh4GbABcBApIRRJAKTG8XeTetstLiGVSmC9YK39omCXuknifwR4C7AGsCbwj8B7CsZfQLrb7D3eHFhQMP5Pp7NthPjXzMRrTCr+9h6vWPJ1By4iJcZfApvmbUW62pHGX6zZ93hN4HsFj/3SAdsuKxW/L+bTgOdUEHdQN9YrCsb/PLBb3+NdgX8vGL/XhfgY4G9Ln3/gxgFfN5R8DdpeAjgrInZRoSLXAC+T9Ly+x8dHxEXAvxaKv7Kk63oPJP06IlYuFBtg/Yh4iqQbACINYptymbhlcEFEbCnpmoIxB1kb6N31rFU49kHAIcBRkm7M5+irU/zNdN0LXB0RZ5PuSHcBzo+ITwNIetfyBM3dbvcDNo2lB/atAfxptENeaj/7kLr6HhURG0fENpIWlIoP3BIRLwSUq0LfDpSso3+upEN6DySdFRHFekkBCyLiB6QSxRG5i3ixmghJRQedDtL2BHAh8K3cYNLrYy0VqqIBHo6I1wPzSR/gfVnSb7yESyLiBFIvC0i9Fkp+wN4JnBsRN+THmwD/UDD+PFIS+B2pK2Lv/G9VcB+fIFVH/CTHfzFwRKngkq6JiPeSqgqQdCNwdKHw38tfPRcWivvfpO6A6wH/3rf9HlKJaWQRcRypi/KLST1o/kK6o35uifjZIaS759mknjo/IJW4S7k9j5z9Kunzuz8FEyTwJlJD+Q2S7s0dIg4qGJ+cIDdh6Ta2k4rFz0WNVsoXtj1IjVPF/5GI2IT0Bn0R6Q30c+Adkm4qFH8V4FDSKNQgdbv7TxUcGJb3sUV++KvCsa8ndW9cqg1G0m9K7SPvZ0PShSdI1Qa/Kxj7VaQ2k8dI2jQingV8RAUbytsoIi5VHkQl6dl52xWSti4QeyNJCyf53askfWfUfeRY65BG8/faFX4KfFgF69Aj4nHAZiw9VmLUNrxe7K8ATyVN59K78ZSkt5eID+1PAGcDu0oqObhjbETE3w3aXuoOIiJ+LGnHErEGxN5C0q9iknl5JBVpkMy9XHYk9S7qXeiukvTMArFfThqY9WTSHVyvhDTSJGgRcb6k7Qd0VihWAs5VnS8ALsmJYF3gh71zNGLs60jVqzdN2H4QcKSkp466jwlx1yQ19v9v4bh/DxwGbES6SD8fuKDUZyIirgW2rOLmtqftVUC3kao4zqJvBKoKdQONiC8zoDeQpDeOGPdUSXvlvtaD4peqQukvrq9K6g99KVCqCPmriPgaqTdW//kv0QvoXcDBLF3FsXgXpIt2CYOmyyj1gTuONIdR0V5qwGMBJJWclmSiz5EGKq4fER8m/R8fLhT7naQeLrtJ+v8AkaZz2Q8Y2sV1WUTEM0nv9XXy49uBAyT9stAuDiN9xi6U9NI85qDUOYLUMeEJlB7926ftCaDXMv6Y/FVaf3/zVUlzA91aIO5h+XvRmTMnkvS2/scRsRZL2htKWI104d+lf7cU6AYq6eD8466S7u//XUSsOuBPlleV02UsJE2OV7qEWtkdYUScCbxF0km5dPQ3pJLF60pdOCWdGREPkDpx7AH8PelC+mJJd5bYR/YF4F2SfgKLu13PBV5YKP79ku6PCCJilVxiLTn1+nrANRFxMUvfYJUbx9PmKqCZlhubf1iwiPdJTZjobNC2UnIPoysl/VUV8avQq4ueatsI8WeR5tNZPNob+OjEpLOcsbcj1UGfy9If4P8YMe5CYNJS7igl4IjYC/gYqYH/X1V4ZP2EfW0P/D9Swt2rxDmfEP9RbRal2jFyrG+RGn3fQSqR3knq2TfyIMIcf2BpSAUG+i3eR5sTQKTJnd4DPJ2lG2GqqpeeQ+rH/bRC8QZd3K4sVQUUS48IXoE0sdc3SiWYfCf+Jh59/keqIsuxn0DqHfJVUtVAr45mTeDzkraY7G+bIldNPsSjG8nfP2Lc20hTHQ+cWVTSSNUQkaYe+ADwclKJsf/YR65e7Wu7CGAV0jl6mMK9+PIF+lKWlHr3B7aVtEeJ+BP29RJSF+XvS3qwYNwnk+ap+mG+WVlRBaeEaHsV0MmkUXKvJHUpO4A0MVkRAxrZfgeMfPGMiH8kdXd7SkT0d9tbg9TTqJRP9f28CPjNZL0vltNXgF+RRnN+hNSNtVQ/7pcBB5Ia2PovOvcA7yu0DyJic9Kkf5uwdFe7EjcRG0japkCciW6T9JEK4vY8ROr2uQrpPVm0Cqvitot+byTVyZ/Okl52pbtpbk+6QH8535DOJlVLl4j9ZlI72Dqk3kCzSV1xdyoRH2j9SOAF6huRl38+r+7jmsZxr0W64JxC6iHS+1qn8H4+OZ1tI8S/rP/8k/qN/7jw/1Bs8ZdJ4l9BGuG9HbBN76tQ7H8FdqzgmIuP9u2L/XLgGtJYiFlVnvu2f1H9glGXk9o2+0dKF1vwSmr/SOBe/eRtEfEKUgPtRqWCR8SPJO001bZlJelu0hTW++aYG5CqUFaPiNUl3TxK/D478+gSy64Dti2v3vm/KyKeQSohbVIoNgCSTsuv7cRqplJ3wIskHV8o1kRvBt4dEfcCD1KoGygl7wAf7V9IDb5XV7iPSsUUy56qXCNq1QtGPSDpwV4PtUgzHxets297AvhY7tnyT8CxpPrhd44aNNdtzwLWywM9+uufnzhq/L79vIpUvfFE0nzrTyZVoYy0ePgMVjHNzefn/aQJvVYn1R0XExGfJ70WLwW+BLwWuLjgLr4TaZ3eb7F0Q22JwULrFYjxKIWObbLYf11V7Bn0AtISlqeQ5nqqakm8qheMOi8i3gesFmla+reQShzFtLoRuCqRZlR8B+nC3N/t88/AFyUdV2g/V5B6D/xQ0rMjLYu3r5Z0gVzeuGuR1j/9BNA/a+Y9VV48qtBrFO/7vjppYZJdpvzj6cUfVF8rSU8pFH8f4CmSPh4RGwGPV9n5dGyCSNPE70wqYW9Fmo7jlNKlmkgzdW6W9/UJUpvD1yQdWyj+CqROFr33+tmSvlQi9uJ9tDEBRMSwu0xJKjLhU0S8rdSLOUn8SyRtmxPBsyU9Enke9hE/9RyjAAAMbUlEQVTjrinpzzHJvOijJoHJRhgvCa9iYw1iybz0F5Kmt/4TabbOzUrtoyrRN5+OpL/Kr8fZkkrOp2NDRJoKZV/g30hTfBT9PEcFC0ZFxO6kVdI+lx9fTJrEUaTZiL856j562loFNGj1oMeSsuW6jLguakTsKOnHpPViXzPx9yq34Mld+Y72p8DJEfEHyiz6/DVSz6j+edF7RFpqbhSDLmABvIrUU6HkYLPvRJqX/t9Ida0iLb4xkkGva79Cr/ELtfSi5HdE2UXJbRL5wv8K0sV/E9Jyq0UXKgLIF/xiqwRm7wH26Xv8GFLnhNVJ6w10OwFIWjw9QG50OYzUvWs+g6cOWFYvAX5MuqA9aveUeyPtDtxHard4Pal30MiNm5Jemb9XMp2s+kYYR2qhej2pYflC0syRReQi8I+Ulmc8LSK+S1rT+O4C4Xuv7QakkaE/zo9fShq4VeI1fij/D7064nUp3KXSHi0i5gHPAM4iTf5WauqHXvzJFowqNY7hMZJu6Xt8fi6131G6naGVVUCweKa/d5EuPvOAY1R2GDkRsanS9MBDt40Sn9Sn+/78eDVSHfFNheIPGi17N2k8wEgljdwj4UBSA/xFwCfUt7ZBKRFxgaQXlI7bF/+7wJsl3ZYfbwh8TtLQEsIUMVdSWmXs70g9RbYlray1F+mCNL/AodskIuIRltQSVDJZXpUi4npNMtg0Iv5HBSfLW6FUoJkUEf8G/II0KOiZkj5U+uKfnTZgW7HiF/ANlr4jfDhvK+U/SXflc0nVJheSSkm/jojlbkSNiENJfcW3AV4u6cAqLv7ZDyJiz4ioqifHJr2Lf/Z7lqzRvLwuhsWzrh5JGpB3J6l7pS/+FZO0gqQ18teafV9rlL74R8T2kWYxJSLWyzd1o7ooDwKbuK9/oGwPuHaWAHKGf4BUX148w0ea1e/ppIE8/9z3qzWBf5Y0UjfNvv1cLulZE7aVnKtkPmlem6vz4y1J/89HST1pnjXs74fEfYTUbfWPDD7/xRaEycXtx5Je6/spfBeXG2o3I3UZFKnu9XpNmEhvGWMunkPfxldEfJBUupsjafOIeCJpqpUXjRh3A9IcSQ+wZB3mbUgjs/eQ9PtR4vdraxtA1SWXOaRG1LVZuh3gHtLgnlL+GBGvlnQGLG79v71g/C36u74prX71bEk3jHhDXflSdT2qeNoASW/NDcK9/u9zJX1rxLDrR8Skyz2q0HTlVrtKBoJJ+gPwwojYkSVjgr6XO6YU1coE0C8PRNqYpedxGWmxEEnfBr4dES+QdMGIhzjMIaTeP5/Lj28B3lAw/nURcTyp2gdgb1L1T28CruWivOJXTDKbKeVGGhMRLx60XYVWXcqxTqdsD5EVST02qqq2smaodCBYvuAXv+j3a2UVUE+kBZ4PBG5gSV26VG665spmu5ywn9VJr0WxWf5y3NVIowd7S06eT2oXuJ80z8tIKyRFxbOZ5nj9Ix9XJc3Zs6Dga9zfo+MxpH77fxmlimnQebHxM8lAsFM04nTfM6ntCeA6UiNwselXJ8T/Bmm2y/3om+1S0mFD/3D68ddi6TVLzyMNVinRzbEysWSqiacC1/f9ag3SZFj7V7jvjUnz1O9bUfw9gO0kLfeMo24D6I4qBoLNpLYngNOAf8x1ZlXEv0xpiobeNAQrk17kUnefp5GWfZuXN70B2HqULogT4r8I+BBL1qQFQCNOc1DnVBO5N9CVKrBm75B9XCjp+SP8/TpVnwdrnjwFxT6STq77WKar7W0AnwAui4hfUs2SaVXPdvlUSXv2Pf5wRFxeMP4JpEFmC0hdTIvIJZS7I+JI4HeSHoi03N5WEXFSHrhVREQcy9KL2jyLNIVzqfj9yXYFUq+Oke6KfPEfb5EWmT+UNOr9DNJI4ENJPewuJ61T0gptTwDzgE9SftHtnt5sl0eyZLbLkVZzmuC+iNhe0vmw+I79voLx75Z0VsF4E50GbBsRTyMlmzNI01AUWRIvu6Tv50WkOtaSM5r29/JaBNxEGqFtNpmvkMZ1XEBaz/ifSe1Hu0sqeQNXubZXAZ0naeC6mRXuc09JgwaILU+srYGTSFNAQHpTHSDpysn/apniH03qkXI6S5eQRuol1Rf/UqW5bt4D3Cfp2CrqvyOttISkYqu9mS2viLiqVwWZq31uB55UuhPHTGh7CWBBRHyCdOdZ/AI3ic8weITwMpN0BbB1LlKiNIPnnkCRBAA8L3/ftn+3pCmoS3goIvYF/o4ld9Irlwic6/o/CLyV1MC2QkQsAo5VweUQI03RfCzwItK5OR84TGWXzrTxsrgLtaSHI+LGNl78of0lgJ8M2FysG+gk+7xF0sYVxr9Z0pOqil9SHll8CHCBpFPyMPi9JR1dIPY7SVVJByvPvRQRTyEthv59SZ8ZdR855jmkaqv+hcNfL2nnEvFt/ETEwyyZayiA1YB7aclcQ/1anQDqUPUFumSCaWs3U0g9sICdJd0+Yfv6wA9KVTNNMh3Ho7aZjaNWVwHFJAvDjFpFEBFXMfl0r48fJfY0lMzIJ5K6me6VH7+BNJ/4SN1MI+JUSXtNdp4KDQRbeeLFP8f+Y+6OW8rtEbE/aS4gSPPH/6lgfLPGanUCYOmFYVYlzd9zbYG4rywQY1IzmGCq6mbaGwhX5XkaNriv5MC/NwLHkdp2BPw3aW0Js7E3VlVAeY6bMyS9rFC8gXPdTNy2HHGfPOz3vbl2RhURF5BmL+3vZvopFZpfv6rzk+P017Mu9SvSojAlSwET9/0OSZ+tKr5ZU4xbAngccLEKrRdb9Vw3VV5Ac6yqu5lWPhdQHdrUEG82ilZXAU2oSlmRtHDyyF0E++e6iYj+i+UaQMlBSDvz6Jkzdx2wbblU1c10Bs9PXTyLp3VCq0sAE6pSFgG/14hLHea4lc51U/NkaiPf3dY5F9BMcAnAuqLVCQDorXu7PXkQj6TLCsZ+KrCwf64bYOS5bmqeTK1IN9NIi51fKekZBQ5rxsXwhb1Xk9Tq0rHZdLRyTeCe3A10HrAusB7wX3mCslJOAx7um+tmU9KgoZFIultp4ffeZGq/ybH3j4i1R40/1e6LBJEeAa6IiFbeKevR68X2rxvri791QqtLABFxLfBsSffnx6sBl0r6q0LxK53rJnfJ3JY0w+jZpCkt5kgaaTK1KbqZbi5plVHi9+3nx8BzSQtV93rsSJInUzNrgbbf6dxE6v9/f368CvA/BeNXNtdN9oikRXlK4s/2EkyBuJWOY+jz4b6fg1QVV8lCLWZWXisTQN8c8Q8AV+f5XETqVXN+wV0dRJrr5ihJN+a5br5aMH4lCUYztGavpPMi4lmkFdP2Am4EPl8itplVr5VVQBFxwLDfS5o37PdNUeVkajl+Jf30I2JzYB+WTJvwdeDdkoYOcDOzZmllAqjaDM11U5mqu5lGxCPAz4A3Sbo+b7tBIy41aWYzq5UJYEgjJ6RGyK1HjL+hpNsmm7Jh1Kkaqk4wMzCO4W9JJYAXAt8H5gNfkrTpqLHNbOa0NQEMujAHsBHwvlF70fTtp6q5gCpNMH37qWQcQ1/8xwJ7kKqCdiR1yf2WpB+UiG9m1WrlOABJv+l9ke50DwXOBT4KnFlwV4MWBdl11KCSbss/vqX/f8n/z1tGjd+nknEMPZL+IulkSa8kJd/LWbrEYWYN1tYSQKWNkDM1VcMMTDY3I2v2mlk7tbIbKPArUiPkq/oaId9ZMP7XgLOYgbmAKp5MrepxDGbWYm1NAHuSSgA/iYheI2SxGRwl3Z3ninlmqfr4CSpNMH2qHsdgZi3WyiqgnqobISPiZOAISTeXiDchdqsnUzOz9mt1AugXEesAryMNpNqxUMxK57qpKsG0fRyDmc2MsUkAVYiIl/Q/JM91I+npheJXkmBmqpupmbVbW9sAZsQMzHVTyWRqE7qZVjYXkJm1WyvHAVQtIjaPiA/k6aaPA24hlZZeKunYUvuRdB5wN/AK4L+AnSibYCoZx2Bm48ElgMEq7WY6yTiGkPTSQvHHfc1eMyvAbQADVD3XTdWTqY37mr1mVoYTwBBVdTOdicnU3M3UzKbiBDBNFXUzbe04BjNrPyeAhmjjOAYzazcngDFW9TgGM2s3dwMdYzPQzdTMWszdQMdQ1d1MzWw8uApoDHnNXjObDlcBjac9gd+Rpsv+YkTsRMHpss1sPLgEMMa8Zq+ZDeME0BFVdDM1s3ZzAjAz6yi3AZiZdZQTgJlZRzkBmJl1lBOAmVlHOQGYmXXU/wG6swyjwOWywwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7efbccefa9e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "number_of_columns_processed = songs.shape[1]\n",
    "plt.xticks(range(0, number_of_columns_processed), songs.columns, rotation='vertical')\n",
    "plt.imshow(songs.isnull(), cmap='tab20c', aspect='auto')\n",
    "plt.savefig(\"/home/m/Desktop/after_processing.png\", dpi=200,  bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(<generator object <genexpr> at 0x7efbccb08e08>, dtype=object)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ia = np.array((i for i in range(0, songs.shape[0])))\n",
    "ia"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7efbc5a6da20>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(songs['Tempo'])\n",
    "plt.ylabel('Tempo')\n",
    "plt.xlabel('Row number')\n",
    "plt.savefig(\"/home/m/Desktop/tempo.png\", dpi=200,  bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7efbcd19db00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(songs['Loudness'])\n",
    "plt.ylabel('Loudness')\n",
    "plt.xlabel('Row number')\n",
    "plt.savefig(\"/home/m/Desktop/loudness.png\", dpi=200,  bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7efbc5a874a8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(songs['Duration'])\n",
    "plt.ylabel('Duration')\n",
    "plt.xlabel('Row number')\n",
    "plt.savefig(\"/home/m/Desktop/duration.png\", dpi=200,  bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.6.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}