Untitled.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy  as np\n",
    "import matplotlib.pyplot  as plt\n",
    "import pandas as pd\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_csv('source/jsbach_chorals_harmony.data', sep = ',', engine = 'python')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.frame.DataFrame"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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>Choral ID</th>\n",
       "      <th>Event number</th>\n",
       "      <th>Pitch class C</th>\n",
       "      <th>Pitch class C#</th>\n",
       "      <th>Pitch class D</th>\n",
       "      <th>Pitch class D#</th>\n",
       "      <th>Pitch class E</th>\n",
       "      <th>Pitch class F</th>\n",
       "      <th>Pitch class F#</th>\n",
       "      <th>Pitch class G</th>\n",
       "      <th>Pitch class G#</th>\n",
       "      <th>Pitch class A</th>\n",
       "      <th>Pitch class A#</th>\n",
       "      <th>Pitch class B</th>\n",
       "      <th>Pitch class Bass</th>\n",
       "      <th>Meter</th>\n",
       "      <th>Chord label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>000106b_</td>\n",
       "      <td>1</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>F</td>\n",
       "      <td>3</td>\n",
       "      <td>F_M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>000106b_</td>\n",
       "      <td>2</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>E</td>\n",
       "      <td>5</td>\n",
       "      <td>C_M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>000106b_</td>\n",
       "      <td>3</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>E</td>\n",
       "      <td>2</td>\n",
       "      <td>C_M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>000106b_</td>\n",
       "      <td>4</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>F</td>\n",
       "      <td>3</td>\n",
       "      <td>F_M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>000106b_</td>\n",
       "      <td>5</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>F</td>\n",
       "      <td>2</td>\n",
       "      <td>F_M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>000106b_</td>\n",
       "      <td>6</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>D</td>\n",
       "      <td>4</td>\n",
       "      <td>D_m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>000106b_</td>\n",
       "      <td>7</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>D</td>\n",
       "      <td>2</td>\n",
       "      <td>D_m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>000106b_</td>\n",
       "      <td>8</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>A</td>\n",
       "      <td>3</td>\n",
       "      <td>F_M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>000106b_</td>\n",
       "      <td>9</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>A</td>\n",
       "      <td>2</td>\n",
       "      <td>F_M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>000106b_</td>\n",
       "      <td>10</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>Bb</td>\n",
       "      <td>5</td>\n",
       "      <td>BbM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>000106b_</td>\n",
       "      <td>11</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>Bb</td>\n",
       "      <td>1</td>\n",
       "      <td>BbM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>000106b_</td>\n",
       "      <td>12</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>C</td>\n",
       "      <td>2</td>\n",
       "      <td>BbM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>000106b_</td>\n",
       "      <td>13</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>C</td>\n",
       "      <td>1</td>\n",
       "      <td>BbM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>000106b_</td>\n",
       "      <td>14</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>D</td>\n",
       "      <td>3</td>\n",
       "      <td>BbM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>000106b_</td>\n",
       "      <td>15</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>E</td>\n",
       "      <td>2</td>\n",
       "      <td>BbM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>000106b_</td>\n",
       "      <td>16</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>F</td>\n",
       "      <td>4</td>\n",
       "      <td>F_M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>000106b_</td>\n",
       "      <td>17</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>F</td>\n",
       "      <td>3</td>\n",
       "      <td>F_M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>000106b_</td>\n",
       "      <td>18</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>Bb</td>\n",
       "      <td>5</td>\n",
       "      <td>BbM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>000106b_</td>\n",
       "      <td>19</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>Bb</td>\n",
       "      <td>2</td>\n",
       "      <td>BbM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>000106b_</td>\n",
       "      <td>20</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>Bb</td>\n",
       "      <td>1</td>\n",
       "      <td>BbM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>000106b_</td>\n",
       "      <td>21</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>A</td>\n",
       "      <td>3</td>\n",
       "      <td>C_M7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>000106b_</td>\n",
       "      <td>22</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>G</td>\n",
       "      <td>2</td>\n",
       "      <td>C_M7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>000106b_</td>\n",
       "      <td>23</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>G</td>\n",
       "      <td>1</td>\n",
       "      <td>C_M7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>000106b_</td>\n",
       "      <td>24</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>A</td>\n",
       "      <td>4</td>\n",
       "      <td>F_M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>000106b_</td>\n",
       "      <td>25</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>B</td>\n",
       "      <td>2</td>\n",
       "      <td>F_M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>000106b_</td>\n",
       "      <td>26</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>C</td>\n",
       "      <td>3</td>\n",
       "      <td>C_M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>000106b_</td>\n",
       "      <td>27</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>C</td>\n",
       "      <td>2</td>\n",
       "      <td>C_M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>000106b_</td>\n",
       "      <td>28</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>F</td>\n",
       "      <td>5</td>\n",
       "      <td>D_m7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>000106b_</td>\n",
       "      <td>29</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>F</td>\n",
       "      <td>2</td>\n",
       "      <td>D_m7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>000106b_</td>\n",
       "      <td>30</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>F</td>\n",
       "      <td>1</td>\n",
       "      <td>D_m7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5635</th>\n",
       "      <td>015505b_</td>\n",
       "      <td>80</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>F</td>\n",
       "      <td>5</td>\n",
       "      <td>F_M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5636</th>\n",
       "      <td>015505b_</td>\n",
       "      <td>81</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>F</td>\n",
       "      <td>3</td>\n",
       "      <td>F_M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5637</th>\n",
       "      <td>015505b_</td>\n",
       "      <td>82</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>F</td>\n",
       "      <td>4</td>\n",
       "      <td>F_M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5638</th>\n",
       "      <td>015505b_</td>\n",
       "      <td>83</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>G</td>\n",
       "      <td>3</td>\n",
       "      <td>F_M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5639</th>\n",
       "      <td>015505b_</td>\n",
       "      <td>84</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>A</td>\n",
       "      <td>5</td>\n",
       "      <td>F_M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5640</th>\n",
       "      <td>015505b_</td>\n",
       "      <td>85</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>A</td>\n",
       "      <td>3</td>\n",
       "      <td>F_M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5641</th>\n",
       "      <td>015505b_</td>\n",
       "      <td>86</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>Bb</td>\n",
       "      <td>4</td>\n",
       "      <td>BbM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5642</th>\n",
       "      <td>015505b_</td>\n",
       "      <td>87</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>C</td>\n",
       "      <td>3</td>\n",
       "      <td>BbM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5643</th>\n",
       "      <td>015505b_</td>\n",
       "      <td>88</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>D</td>\n",
       "      <td>5</td>\n",
       "      <td>D_m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5644</th>\n",
       "      <td>015505b_</td>\n",
       "      <td>89</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>D</td>\n",
       "      <td>3</td>\n",
       "      <td>D_m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5645</th>\n",
       "      <td>015505b_</td>\n",
       "      <td>90</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>E</td>\n",
       "      <td>4</td>\n",
       "      <td>C_M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5646</th>\n",
       "      <td>015505b_</td>\n",
       "      <td>91</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>F#</td>\n",
       "      <td>3</td>\n",
       "      <td>C_M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5647</th>\n",
       "      <td>015505b_</td>\n",
       "      <td>92</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>G</td>\n",
       "      <td>5</td>\n",
       "      <td>G_m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5648</th>\n",
       "      <td>015505b_</td>\n",
       "      <td>93</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>G</td>\n",
       "      <td>3</td>\n",
       "      <td>G_m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5649</th>\n",
       "      <td>015505b_</td>\n",
       "      <td>94</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>D</td>\n",
       "      <td>4</td>\n",
       "      <td>D_M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5650</th>\n",
       "      <td>015505b_</td>\n",
       "      <td>95</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>A</td>\n",
       "      <td>5</td>\n",
       "      <td>F_M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5651</th>\n",
       "      <td>015505b_</td>\n",
       "      <td>96</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>Bb</td>\n",
       "      <td>3</td>\n",
       "      <td>F_M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5652</th>\n",
       "      <td>015505b_</td>\n",
       "      <td>97</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>C</td>\n",
       "      <td>4</td>\n",
       "      <td>C_M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5653</th>\n",
       "      <td>015505b_</td>\n",
       "      <td>98</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>C</td>\n",
       "      <td>3</td>\n",
       "      <td>C_M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5654</th>\n",
       "      <td>015505b_</td>\n",
       "      <td>99</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>D</td>\n",
       "      <td>5</td>\n",
       "      <td>BbM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5655</th>\n",
       "      <td>015505b_</td>\n",
       "      <td>100</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>E</td>\n",
       "      <td>3</td>\n",
       "      <td>BbM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5656</th>\n",
       "      <td>015505b_</td>\n",
       "      <td>101</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>F</td>\n",
       "      <td>4</td>\n",
       "      <td>F_M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5657</th>\n",
       "      <td>015505b_</td>\n",
       "      <td>102</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>F</td>\n",
       "      <td>3</td>\n",
       "      <td>F_M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5658</th>\n",
       "      <td>015505b_</td>\n",
       "      <td>103</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>E</td>\n",
       "      <td>5</td>\n",
       "      <td>C_M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5659</th>\n",
       "      <td>015505b_</td>\n",
       "      <td>104</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>F</td>\n",
       "      <td>3</td>\n",
       "      <td>C_M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5660</th>\n",
       "      <td>015505b_</td>\n",
       "      <td>105</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>G</td>\n",
       "      <td>4</td>\n",
       "      <td>G_m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5661</th>\n",
       "      <td>015505b_</td>\n",
       "      <td>106</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>G</td>\n",
       "      <td>3</td>\n",
       "      <td>G_m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5662</th>\n",
       "      <td>015505b_</td>\n",
       "      <td>107</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>C</td>\n",
       "      <td>5</td>\n",
       "      <td>C_M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5663</th>\n",
       "      <td>015505b_</td>\n",
       "      <td>108</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>C</td>\n",
       "      <td>3</td>\n",
       "      <td>C_M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5664</th>\n",
       "      <td>015505b_</td>\n",
       "      <td>109</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>F</td>\n",
       "      <td>4</td>\n",
       "      <td>F_M</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5665 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Choral ID  Event number Pitch class C Pitch class C# Pitch class D  \\\n",
       "0     000106b_             1           YES             NO            NO   \n",
       "1     000106b_             2           YES             NO            NO   \n",
       "2     000106b_             3           YES             NO            NO   \n",
       "3     000106b_             4           YES             NO            NO   \n",
       "4     000106b_             5           YES             NO            NO   \n",
       "5     000106b_             6            NO             NO           YES   \n",
       "6     000106b_             7            NO             NO           YES   \n",
       "7     000106b_             8           YES             NO            NO   \n",
       "8     000106b_             9           YES             NO            NO   \n",
       "9     000106b_            10            NO             NO           YES   \n",
       "10    000106b_            11            NO             NO           YES   \n",
       "11    000106b_            12           YES             NO           YES   \n",
       "12    000106b_            13           YES             NO           YES   \n",
       "13    000106b_            14            NO             NO           YES   \n",
       "14    000106b_            15            NO             NO           YES   \n",
       "15    000106b_            16           YES             NO            NO   \n",
       "16    000106b_            17           YES             NO            NO   \n",
       "17    000106b_            18            NO             NO           YES   \n",
       "18    000106b_            19            NO             NO           YES   \n",
       "19    000106b_            20            NO             NO           YES   \n",
       "20    000106b_            21            NO             NO            NO   \n",
       "21    000106b_            22           YES             NO            NO   \n",
       "22    000106b_            23            NO             NO            NO   \n",
       "23    000106b_            24           YES             NO            NO   \n",
       "24    000106b_            25            NO             NO           YES   \n",
       "25    000106b_            26           YES             NO            NO   \n",
       "26    000106b_            27           YES             NO            NO   \n",
       "27    000106b_            28           YES             NO           YES   \n",
       "28    000106b_            29            NO             NO           YES   \n",
       "29    000106b_            30            NO             NO           YES   \n",
       "...        ...           ...           ...            ...           ...   \n",
       "5635  015505b_            80           YES             NO            NO   \n",
       "5636  015505b_            81           YES             NO            NO   \n",
       "5637  015505b_            82           YES             NO            NO   \n",
       "5638  015505b_            83           YES             NO            NO   \n",
       "5639  015505b_            84           YES             NO            NO   \n",
       "5640  015505b_            85           YES             NO            NO   \n",
       "5641  015505b_            86            NO             NO           YES   \n",
       "5642  015505b_            87           YES             NO           YES   \n",
       "5643  015505b_            88            NO             NO           YES   \n",
       "5644  015505b_            89            NO             NO           YES   \n",
       "5645  015505b_            90           YES             NO            NO   \n",
       "5646  015505b_            91           YES             NO            NO   \n",
       "5647  015505b_            92            NO             NO           YES   \n",
       "5648  015505b_            93           YES             NO            NO   \n",
       "5649  015505b_            94            NO             NO           YES   \n",
       "5650  015505b_            95           YES             NO            NO   \n",
       "5651  015505b_            96           YES             NO            NO   \n",
       "5652  015505b_            97           YES             NO            NO   \n",
       "5653  015505b_            98           YES             NO            NO   \n",
       "5654  015505b_            99            NO             NO           YES   \n",
       "5655  015505b_           100            NO             NO           YES   \n",
       "5656  015505b_           101           YES             NO            NO   \n",
       "5657  015505b_           102            NO             NO           YES   \n",
       "5658  015505b_           103           YES             NO            NO   \n",
       "5659  015505b_           104           YES             NO            NO   \n",
       "5660  015505b_           105            NO             NO           YES   \n",
       "5661  015505b_           106            NO             NO           YES   \n",
       "5662  015505b_           107           YES             NO            NO   \n",
       "5663  015505b_           108           YES             NO            NO   \n",
       "5664  015505b_           109            NO             NO            NO   \n",
       "\n",
       "     Pitch class D# Pitch class E Pitch class F Pitch class F# Pitch class G  \\\n",
       "0                NO            NO           YES             NO            NO   \n",
       "1                NO           YES            NO             NO           YES   \n",
       "2                NO           YES            NO             NO           YES   \n",
       "3                NO            NO           YES             NO            NO   \n",
       "4                NO            NO           YES             NO            NO   \n",
       "5                NO            NO           YES             NO            NO   \n",
       "6                NO            NO           YES             NO            NO   \n",
       "7                NO            NO           YES             NO            NO   \n",
       "8                NO            NO           YES             NO            NO   \n",
       "9                NO            NO           YES             NO            NO   \n",
       "10               NO            NO           YES             NO            NO   \n",
       "11               NO            NO           YES             NO            NO   \n",
       "12               NO            NO           YES             NO           YES   \n",
       "13               NO            NO           YES             NO            NO   \n",
       "14               NO           YES           YES             NO           YES   \n",
       "15               NO            NO           YES             NO            NO   \n",
       "16               NO            NO           YES             NO            NO   \n",
       "17               NO            NO           YES             NO            NO   \n",
       "18               NO            NO           YES             NO           YES   \n",
       "19               NO            NO           YES             NO            NO   \n",
       "20               NO           YES            NO             NO           YES   \n",
       "21               NO           YES            NO             NO           YES   \n",
       "22               NO           YES            NO             NO           YES   \n",
       "23               NO            NO           YES             NO            NO   \n",
       "24               NO            NO           YES             NO           YES   \n",
       "25               NO           YES            NO             NO           YES   \n",
       "26               NO           YES            NO             NO           YES   \n",
       "27               NO            NO           YES             NO            NO   \n",
       "28               NO           YES           YES             NO            NO   \n",
       "29               NO           YES           YES             NO            NO   \n",
       "...             ...           ...           ...            ...           ...   \n",
       "5635             NO            NO           YES             NO            NO   \n",
       "5636             NO            NO           YES             NO           YES   \n",
       "5637             NO            NO           YES             NO            NO   \n",
       "5638             NO            NO           YES             NO           YES   \n",
       "5639             NO            NO           YES             NO            NO   \n",
       "5640             NO           YES            NO             NO           YES   \n",
       "5641             NO            NO           YES             NO            NO   \n",
       "5642             NO            NO           YES             NO            NO   \n",
       "5643             NO            NO           YES             NO            NO   \n",
       "5644             NO            NO           YES             NO            NO   \n",
       "5645             NO           YES            NO             NO           YES   \n",
       "5646             NO           YES            NO            YES            NO   \n",
       "5647             NO            NO            NO             NO           YES   \n",
       "5648             NO           YES            NO             NO           YES   \n",
       "5649             NO            NO            NO            YES            NO   \n",
       "5650             NO            NO           YES             NO            NO   \n",
       "5651             NO            NO           YES             NO            NO   \n",
       "5652             NO           YES            NO             NO           YES   \n",
       "5653             NO           YES            NO             NO            NO   \n",
       "5654             NO            NO           YES             NO            NO   \n",
       "5655             NO           YES            NO             NO           YES   \n",
       "5656             NO            NO           YES             NO            NO   \n",
       "5657             NO            NO           YES             NO            NO   \n",
       "5658             NO           YES            NO             NO           YES   \n",
       "5659             NO           YES           YES             NO           YES   \n",
       "5660             NO            NO            NO             NO           YES   \n",
       "5661             NO            NO            NO             NO           YES   \n",
       "5662             NO           YES            NO             NO           YES   \n",
       "5663             NO           YES            NO             NO           YES   \n",
       "5664             NO            NO           YES             NO            NO   \n",
       "\n",
       "     Pitch class G# Pitch class A Pitch class A# Pitch class B  \\\n",
       "0                NO           YES             NO            NO   \n",
       "1                NO            NO             NO            NO   \n",
       "2                NO            NO             NO            NO   \n",
       "3                NO           YES             NO            NO   \n",
       "4                NO           YES             NO            NO   \n",
       "5                NO           YES             NO            NO   \n",
       "6                NO           YES             NO            NO   \n",
       "7                NO           YES             NO            NO   \n",
       "8                NO           YES             NO            NO   \n",
       "9                NO            NO            YES            NO   \n",
       "10               NO            NO            YES            NO   \n",
       "11               NO           YES            YES            NO   \n",
       "12               NO            NO            YES            NO   \n",
       "13               NO            NO            YES            NO   \n",
       "14               NO            NO            YES            NO   \n",
       "15               NO           YES             NO            NO   \n",
       "16               NO           YES             NO            NO   \n",
       "17               NO            NO            YES            NO   \n",
       "18               NO            NO            YES            NO   \n",
       "19               NO           YES            YES            NO   \n",
       "20               NO           YES            YES            NO   \n",
       "21               NO            NO            YES            NO   \n",
       "22               NO            NO            YES            NO   \n",
       "23               NO           YES             NO            NO   \n",
       "24               NO            NO             NO           YES   \n",
       "25               NO            NO             NO            NO   \n",
       "26               NO            NO             NO            NO   \n",
       "27               NO           YES             NO            NO   \n",
       "28               NO           YES             NO           YES   \n",
       "29               NO           YES             NO            NO   \n",
       "...             ...           ...            ...           ...   \n",
       "5635             NO           YES             NO            NO   \n",
       "5636             NO            NO            YES            NO   \n",
       "5637             NO           YES             NO            NO   \n",
       "5638             NO            NO            YES            NO   \n",
       "5639             NO           YES             NO            NO   \n",
       "5640             NO           YES             NO            NO   \n",
       "5641             NO            NO            YES            NO   \n",
       "5642             NO            NO             NO            NO   \n",
       "5643             NO           YES             NO            NO   \n",
       "5644             NO            NO            YES            NO   \n",
       "5645             NO            NO             NO            NO   \n",
       "5646             NO           YES             NO            NO   \n",
       "5647             NO            NO            YES            NO   \n",
       "5648             NO            NO            YES            NO   \n",
       "5649             NO           YES             NO            NO   \n",
       "5650             NO           YES             NO            NO   \n",
       "5651             NO           YES            YES            NO   \n",
       "5652             NO            NO             NO            NO   \n",
       "5653             NO           YES             NO            NO   \n",
       "5654             NO            NO            YES            NO   \n",
       "5655             NO            NO            YES            NO   \n",
       "5656             NO           YES             NO            NO   \n",
       "5657             NO           YES            YES            NO   \n",
       "5658             NO            NO             NO            NO   \n",
       "5659             NO            NO             NO            NO   \n",
       "5660             NO            NO            YES            NO   \n",
       "5661             NO           YES             NO            NO   \n",
       "5662             NO            NO             NO            NO   \n",
       "5663             NO            NO            YES            NO   \n",
       "5664             NO           YES             NO            NO   \n",
       "\n",
       "     Pitch class Bass  Meter Chord label  \n",
       "0                   F      3         F_M  \n",
       "1                   E      5         C_M  \n",
       "2                   E      2         C_M  \n",
       "3                   F      3         F_M  \n",
       "4                   F      2         F_M  \n",
       "5                   D      4         D_m  \n",
       "6                   D      2         D_m  \n",
       "7                   A      3         F_M  \n",
       "8                   A      2         F_M  \n",
       "9                  Bb      5         BbM  \n",
       "10                 Bb      1         BbM  \n",
       "11                  C      2         BbM  \n",
       "12                  C      1         BbM  \n",
       "13                  D      3         BbM  \n",
       "14                  E      2         BbM  \n",
       "15                  F      4         F_M  \n",
       "16                  F      3         F_M  \n",
       "17                 Bb      5         BbM  \n",
       "18                 Bb      2         BbM  \n",
       "19                 Bb      1         BbM  \n",
       "20                  A      3        C_M7  \n",
       "21                  G      2        C_M7  \n",
       "22                  G      1        C_M7  \n",
       "23                  A      4         F_M  \n",
       "24                  B      2         F_M  \n",
       "25                  C      3         C_M  \n",
       "26                  C      2         C_M  \n",
       "27                  F      5        D_m7  \n",
       "28                  F      2        D_m7  \n",
       "29                  F      1        D_m7  \n",
       "...               ...    ...         ...  \n",
       "5635                F      5         F_M  \n",
       "5636                F      3         F_M  \n",
       "5637                F      4         F_M  \n",
       "5638                G      3         F_M  \n",
       "5639                A      5         F_M  \n",
       "5640                A      3         F_M  \n",
       "5641               Bb      4         BbM  \n",
       "5642                C      3         BbM  \n",
       "5643                D      5         D_m  \n",
       "5644                D      3         D_m  \n",
       "5645                E      4         C_M  \n",
       "5646               F#      3         C_M  \n",
       "5647                G      5         G_m  \n",
       "5648                G      3         G_m  \n",
       "5649                D      4         D_M  \n",
       "5650                A      5         F_M  \n",
       "5651               Bb      3         F_M  \n",
       "5652                C      4         C_M  \n",
       "5653                C      3         C_M  \n",
       "5654                D      5         BbM  \n",
       "5655                E      3         BbM  \n",
       "5656                F      4         F_M  \n",
       "5657                F      3         F_M  \n",
       "5658                E      5         C_M  \n",
       "5659                F      3         C_M  \n",
       "5660                G      4         G_m  \n",
       "5661                G      3         G_m  \n",
       "5662                C      5         C_M  \n",
       "5663                C      3         C_M  \n",
       "5664                F      4         F_M  \n",
       "\n",
       "[5665 rows x 17 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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>Choral ID</th>\n",
       "      <th>Event number</th>\n",
       "      <th>Pitch class C</th>\n",
       "      <th>Pitch class C#</th>\n",
       "      <th>Pitch class D</th>\n",
       "      <th>Pitch class D#</th>\n",
       "      <th>Pitch class E</th>\n",
       "      <th>Pitch class F</th>\n",
       "      <th>Pitch class F#</th>\n",
       "      <th>Pitch class G</th>\n",
       "      <th>Pitch class G#</th>\n",
       "      <th>Pitch class A</th>\n",
       "      <th>Pitch class A#</th>\n",
       "      <th>Pitch class B</th>\n",
       "      <th>Pitch class Bass</th>\n",
       "      <th>Meter</th>\n",
       "      <th>Chord label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>000106b_</td>\n",
       "      <td>1</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>F</td>\n",
       "      <td>3</td>\n",
       "      <td>F_M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>000106b_</td>\n",
       "      <td>2</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>E</td>\n",
       "      <td>5</td>\n",
       "      <td>C_M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>000106b_</td>\n",
       "      <td>3</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>E</td>\n",
       "      <td>2</td>\n",
       "      <td>C_M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>000106b_</td>\n",
       "      <td>4</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>F</td>\n",
       "      <td>3</td>\n",
       "      <td>F_M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>000106b_</td>\n",
       "      <td>5</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>F</td>\n",
       "      <td>2</td>\n",
       "      <td>F_M</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Choral ID  Event number Pitch class C Pitch class C# Pitch class D  \\\n",
       "0  000106b_             1           YES             NO            NO   \n",
       "1  000106b_             2           YES             NO            NO   \n",
       "2  000106b_             3           YES             NO            NO   \n",
       "3  000106b_             4           YES             NO            NO   \n",
       "4  000106b_             5           YES             NO            NO   \n",
       "\n",
       "  Pitch class D# Pitch class E Pitch class F Pitch class F# Pitch class G  \\\n",
       "0             NO            NO           YES             NO            NO   \n",
       "1             NO           YES            NO             NO           YES   \n",
       "2             NO           YES            NO             NO           YES   \n",
       "3             NO            NO           YES             NO            NO   \n",
       "4             NO            NO           YES             NO            NO   \n",
       "\n",
       "  Pitch class G# Pitch class A Pitch class A# Pitch class B Pitch class Bass  \\\n",
       "0             NO           YES             NO            NO                F   \n",
       "1             NO            NO             NO            NO                E   \n",
       "2             NO            NO             NO            NO                E   \n",
       "3             NO           YES             NO            NO                F   \n",
       "4             NO           YES             NO            NO                F   \n",
       "\n",
       "   Meter Chord label  \n",
       "0      3         F_M  \n",
       "1      5         C_M  \n",
       "2      2         C_M  \n",
       "3      3         F_M  \n",
       "4      2         F_M  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "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>Choral ID</th>\n",
       "      <th>Event number</th>\n",
       "      <th>Pitch class C</th>\n",
       "      <th>Pitch class C#</th>\n",
       "      <th>Pitch class D</th>\n",
       "      <th>Pitch class D#</th>\n",
       "      <th>Pitch class E</th>\n",
       "      <th>Pitch class F</th>\n",
       "      <th>Pitch class F#</th>\n",
       "      <th>Pitch class G</th>\n",
       "      <th>Pitch class G#</th>\n",
       "      <th>Pitch class A</th>\n",
       "      <th>Pitch class A#</th>\n",
       "      <th>Pitch class B</th>\n",
       "      <th>Pitch class Bass</th>\n",
       "      <th>Meter</th>\n",
       "      <th>Chord label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5660</th>\n",
       "      <td>015505b_</td>\n",
       "      <td>105</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>G</td>\n",
       "      <td>4</td>\n",
       "      <td>G_m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5661</th>\n",
       "      <td>015505b_</td>\n",
       "      <td>106</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>G</td>\n",
       "      <td>3</td>\n",
       "      <td>G_m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5662</th>\n",
       "      <td>015505b_</td>\n",
       "      <td>107</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>C</td>\n",
       "      <td>5</td>\n",
       "      <td>C_M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5663</th>\n",
       "      <td>015505b_</td>\n",
       "      <td>108</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>C</td>\n",
       "      <td>3</td>\n",
       "      <td>C_M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5664</th>\n",
       "      <td>015505b_</td>\n",
       "      <td>109</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>F</td>\n",
       "      <td>4</td>\n",
       "      <td>F_M</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Choral ID  Event number Pitch class C Pitch class C# Pitch class D  \\\n",
       "5660  015505b_           105            NO             NO           YES   \n",
       "5661  015505b_           106            NO             NO           YES   \n",
       "5662  015505b_           107           YES             NO            NO   \n",
       "5663  015505b_           108           YES             NO            NO   \n",
       "5664  015505b_           109            NO             NO            NO   \n",
       "\n",
       "     Pitch class D# Pitch class E Pitch class F Pitch class F# Pitch class G  \\\n",
       "5660             NO            NO            NO             NO           YES   \n",
       "5661             NO            NO            NO             NO           YES   \n",
       "5662             NO           YES            NO             NO           YES   \n",
       "5663             NO           YES            NO             NO           YES   \n",
       "5664             NO            NO           YES             NO            NO   \n",
       "\n",
       "     Pitch class G# Pitch class A Pitch class A# Pitch class B  \\\n",
       "5660             NO            NO            YES            NO   \n",
       "5661             NO           YES             NO            NO   \n",
       "5662             NO            NO             NO            NO   \n",
       "5663             NO            NO            YES            NO   \n",
       "5664             NO           YES             NO            NO   \n",
       "\n",
       "     Pitch class Bass  Meter Chord label  \n",
       "5660                G      4         G_m  \n",
       "5661                G      3         G_m  \n",
       "5662                C      5         C_M  \n",
       "5663                C      3         C_M  \n",
       "5664                F      4         F_M  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(5665, 17)\n",
      "Index(['Choral ID', 'Event number', 'Pitch class C', 'Pitch class C#',\n",
      "       'Pitch class D', 'Pitch class D#', 'Pitch class E', 'Pitch class F',\n",
      "       'Pitch class F#', 'Pitch class G', 'Pitch class G#', 'Pitch class A',\n",
      "       'Pitch class A#', 'Pitch class B', 'Pitch class Bass', 'Meter',\n",
      "       'Chord label'],\n",
      "      dtype='object')\n"
     ]
    }
   ],
   "source": [
    "print(data.shape)\n",
    "print(data.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RangeIndex(start=0, stop=5665, step=1)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'YES'"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.at[2, 'Pitch class G']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0         1\n",
       "1         2\n",
       "2         3\n",
       "3         4\n",
       "4         5\n",
       "5         6\n",
       "6         7\n",
       "7         8\n",
       "8         9\n",
       "9        10\n",
       "10       11\n",
       "11       12\n",
       "12       13\n",
       "13       14\n",
       "14       15\n",
       "15       16\n",
       "16       17\n",
       "17       18\n",
       "18       19\n",
       "19       20\n",
       "20       21\n",
       "21       22\n",
       "22       23\n",
       "23       24\n",
       "24       25\n",
       "25       26\n",
       "26       27\n",
       "27       28\n",
       "28       29\n",
       "29       30\n",
       "       ... \n",
       "5635     80\n",
       "5636     81\n",
       "5637     82\n",
       "5638     83\n",
       "5639     84\n",
       "5640     85\n",
       "5641     86\n",
       "5642     87\n",
       "5643     88\n",
       "5644     89\n",
       "5645     90\n",
       "5646     91\n",
       "5647     92\n",
       "5648     93\n",
       "5649     94\n",
       "5650     95\n",
       "5651     96\n",
       "5652     97\n",
       "5653     98\n",
       "5654     99\n",
       "5655    100\n",
       "5656    101\n",
       "5657    102\n",
       "5658    103\n",
       "5659    104\n",
       "5660    105\n",
       "5661    106\n",
       "5662    107\n",
       "5663    108\n",
       "5664    109\n",
       "Name: Event number, Length: 5665, dtype: int64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['Event number']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['Event number'][3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'int64'"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['Event number'].dtype.name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'object'"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['Pitch class C'].dtype.name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "str"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(data['Pitch class C'][3])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.series.Series"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(data['Pitch class C'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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>Choral ID</th>\n",
       "      <th>Chord label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>000106b_</td>\n",
       "      <td>F_M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>000106b_</td>\n",
       "      <td>C_M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>000106b_</td>\n",
       "      <td>C_M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>000106b_</td>\n",
       "      <td>F_M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>000106b_</td>\n",
       "      <td>F_M</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Choral ID Chord label\n",
       "0  000106b_         F_M\n",
       "1  000106b_         C_M\n",
       "2  000106b_         C_M\n",
       "3  000106b_         F_M\n",
       "4  000106b_         F_M"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[['Choral ID', 'Chord label']].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "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>Event number</th>\n",
       "      <th>Meter</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>5665.000000</td>\n",
       "      <td>5665.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>53.374404</td>\n",
       "      <td>3.134863</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>37.268208</td>\n",
       "      <td>1.109710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>24.000000</td>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>48.000000</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>75.000000</td>\n",
       "      <td>4.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>207.000000</td>\n",
       "      <td>5.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Event number        Meter\n",
       "count   5665.000000  5665.000000\n",
       "mean      53.374404     3.134863\n",
       "std       37.268208     1.109710\n",
       "min        1.000000     1.000000\n",
       "25%       24.000000     2.000000\n",
       "50%       48.000000     3.000000\n",
       "75%       75.000000     4.000000\n",
       "max      207.000000     5.000000"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x720 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from pandas.plotting import scatter_matrix\n",
    "scatter_matrix(data, alpha = .01, figsize = (10, 10))\n",
    "pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "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>Event number</th>\n",
       "      <th>Meter</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Event number</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.076262</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Meter</th>\n",
       "      <td>-0.076262</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Event number     Meter\n",
       "Event number      1.000000 -0.076262\n",
       "Meter            -0.076262  1.000000"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(data['Event number'], data['Meter'], 'o', alpha = 0.05)\n",
    "plt.xlabel('Event number')\n",
    "plt.ylabel('Meter')\n",
    "plt.title('Event number vs Meter')\n",
    "pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       False\n",
       "1       False\n",
       "2       False\n",
       "3       False\n",
       "4       False\n",
       "5       False\n",
       "6       False\n",
       "7       False\n",
       "8       False\n",
       "9       False\n",
       "10      False\n",
       "11      False\n",
       "12      False\n",
       "13      False\n",
       "14      False\n",
       "15      False\n",
       "16      False\n",
       "17      False\n",
       "18      False\n",
       "19      False\n",
       "20      False\n",
       "21      False\n",
       "22      False\n",
       "23      False\n",
       "24      False\n",
       "25      False\n",
       "26      False\n",
       "27      False\n",
       "28      False\n",
       "29      False\n",
       "        ...  \n",
       "5635    False\n",
       "5636    False\n",
       "5637    False\n",
       "5638    False\n",
       "5639    False\n",
       "5640    False\n",
       "5641    False\n",
       "5642    False\n",
       "5643    False\n",
       "5644    False\n",
       "5645    False\n",
       "5646     True\n",
       "5647    False\n",
       "5648    False\n",
       "5649     True\n",
       "5650    False\n",
       "5651    False\n",
       "5652    False\n",
       "5653    False\n",
       "5654    False\n",
       "5655    False\n",
       "5656    False\n",
       "5657    False\n",
       "5658    False\n",
       "5659    False\n",
       "5660    False\n",
       "5661    False\n",
       "5662    False\n",
       "5663    False\n",
       "5664    False\n",
       "Name: Pitch class F#, Length: 5665, dtype: bool"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['Pitch class F#'] == 'YES'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x9177c50>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (10, 6))\n",
    "\n",
    "plt.scatter(data[data['Pitch class F#'] == 'YES']['Event number'],\n",
    "            data[data['Pitch class F#'] == 'YES']['Meter'],\n",
    "            alpha = 0.05,\n",
    "            label = 'YES',\n",
    "            color = 'b')\n",
    "\n",
    "plt.scatter(data[data['Pitch class F#'] == 'NO']['Event number'],\n",
    "            data[data['Pitch class F#'] == 'NO']['Meter'],\n",
    "            alpha = 0.75,\n",
    "            label = 'NO',\n",
    "            color = 'r')\n",
    "\n",
    "plt.xlabel('Event number')\n",
    "plt.xticks(np.arange(0, 207, step=50))\n",
    "plt.xlim(0, 207)\n",
    "plt.ylabel('Meter')\n",
    "plt.legend()\n",
    "#plt.grid()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'From Census Data of 1994')"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "np.random.seed(0)\n",
    "education_num_rnd = data['Event number'] + np.random.rand(data.shape[0]) - .5\n",
    "\n",
    "plt.figure(figsize = (10, 8))\n",
    "\n",
    "plt.scatter(education_num_rnd[data['Pitch class F#'] == 'YES'],\n",
    "            data[data['Pitch class F#'] == 'YES']['Meter'],\n",
    "            alpha = 0.15,\n",
    "            label = 'YES',\n",
    "            color = 'b')\n",
    "\n",
    "plt.scatter(education_num_rnd[data['Pitch class F#'] == 'NO'],\n",
    "            data[data['Pitch class F#'] == 'NO']['Meter'],\n",
    "            alpha = 0.15,\n",
    "            label = 'NO',\n",
    "            color = 'r')\n",
    "\n",
    "plt.xlabel('Event number')\n",
    "plt.xticks(np.arange(0, 207, step=50))\n",
    "plt.xlim(0, 207)\n",
    "plt.ylabel('Meter')\n",
    "plt.legend()\n",
    "#plt.grid()\n",
    "plt.title('From Census Data of 1994')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "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>Choral ID</th>\n",
       "      <th>Pitch class C</th>\n",
       "      <th>Pitch class C#</th>\n",
       "      <th>Pitch class D</th>\n",
       "      <th>Pitch class D#</th>\n",
       "      <th>Pitch class E</th>\n",
       "      <th>Pitch class F</th>\n",
       "      <th>Pitch class F#</th>\n",
       "      <th>Pitch class G</th>\n",
       "      <th>Pitch class G#</th>\n",
       "      <th>Pitch class A</th>\n",
       "      <th>Pitch class A#</th>\n",
       "      <th>Pitch class B</th>\n",
       "      <th>Pitch class Bass</th>\n",
       "      <th>Chord label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>5665</td>\n",
       "      <td>5665</td>\n",
       "      <td>5665</td>\n",
       "      <td>5665</td>\n",
       "      <td>5665</td>\n",
       "      <td>5665</td>\n",
       "      <td>5665</td>\n",
       "      <td>5665</td>\n",
       "      <td>5665</td>\n",
       "      <td>5665</td>\n",
       "      <td>5665</td>\n",
       "      <td>5665</td>\n",
       "      <td>5665</td>\n",
       "      <td>5665</td>\n",
       "      <td>5665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>62</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>16</td>\n",
       "      <td>102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>002908ch</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>D</td>\n",
       "      <td>D_M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>206</td>\n",
       "      <td>3875</td>\n",
       "      <td>4711</td>\n",
       "      <td>3300</td>\n",
       "      <td>4956</td>\n",
       "      <td>3540</td>\n",
       "      <td>4381</td>\n",
       "      <td>4253</td>\n",
       "      <td>3523</td>\n",
       "      <td>5006</td>\n",
       "      <td>3290</td>\n",
       "      <td>4644</td>\n",
       "      <td>3874</td>\n",
       "      <td>689</td>\n",
       "      <td>503</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Choral ID Pitch class C Pitch class C# Pitch class D Pitch class D#  \\\n",
       "count       5665          5665           5665          5665           5665   \n",
       "unique        62             2              2             2              2   \n",
       "top     002908ch            NO             NO            NO             NO   \n",
       "freq         206          3875           4711          3300           4956   \n",
       "\n",
       "       Pitch class E Pitch class F Pitch class F# Pitch class G  \\\n",
       "count           5665          5665           5665          5665   \n",
       "unique             2             2              2             2   \n",
       "top               NO            NO             NO            NO   \n",
       "freq            3540          4381           4253          3523   \n",
       "\n",
       "       Pitch class G# Pitch class A Pitch class A# Pitch class B  \\\n",
       "count            5665          5665           5665          5665   \n",
       "unique              2             2              2             2   \n",
       "top                NO            NO             NO            NO   \n",
       "freq             5006          3290           4644          3874   \n",
       "\n",
       "       Pitch class Bass Chord label  \n",
       "count              5665        5665  \n",
       "unique               16         102  \n",
       "top                   D         D_M  \n",
       "freq                689         503  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe(include = ['object'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "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>Choral ID</th>\n",
       "      <th>Event number</th>\n",
       "      <th>Pitch class C</th>\n",
       "      <th>Pitch class C#</th>\n",
       "      <th>Pitch class D</th>\n",
       "      <th>Pitch class D#</th>\n",
       "      <th>Pitch class E</th>\n",
       "      <th>Pitch class F</th>\n",
       "      <th>Pitch class F#</th>\n",
       "      <th>Pitch class G</th>\n",
       "      <th>Pitch class G#</th>\n",
       "      <th>Pitch class A</th>\n",
       "      <th>Pitch class A#</th>\n",
       "      <th>Pitch class B</th>\n",
       "      <th>Pitch class Bass</th>\n",
       "      <th>Meter</th>\n",
       "      <th>Chord label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>5665</td>\n",
       "      <td>5665.000000</td>\n",
       "      <td>5665</td>\n",
       "      <td>5665</td>\n",
       "      <td>5665</td>\n",
       "      <td>5665</td>\n",
       "      <td>5665</td>\n",
       "      <td>5665</td>\n",
       "      <td>5665</td>\n",
       "      <td>5665</td>\n",
       "      <td>5665</td>\n",
       "      <td>5665</td>\n",
       "      <td>5665</td>\n",
       "      <td>5665</td>\n",
       "      <td>5665</td>\n",
       "      <td>5665.000000</td>\n",
       "      <td>5665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>62</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>16</td>\n",
       "      <td>NaN</td>\n",
       "      <td>102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>002908ch</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>D</td>\n",
       "      <td>NaN</td>\n",
       "      <td>D_M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>206</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3875</td>\n",
       "      <td>4711</td>\n",
       "      <td>3300</td>\n",
       "      <td>4956</td>\n",
       "      <td>3540</td>\n",
       "      <td>4381</td>\n",
       "      <td>4253</td>\n",
       "      <td>3523</td>\n",
       "      <td>5006</td>\n",
       "      <td>3290</td>\n",
       "      <td>4644</td>\n",
       "      <td>3874</td>\n",
       "      <td>689</td>\n",
       "      <td>NaN</td>\n",
       "      <td>503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>NaN</td>\n",
       "      <td>53.374404</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.134863</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>NaN</td>\n",
       "      <td>37.268208</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.109710</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>48.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>NaN</td>\n",
       "      <td>207.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Choral ID  Event number Pitch class C Pitch class C# Pitch class D  \\\n",
       "count       5665   5665.000000          5665           5665          5665   \n",
       "unique        62           NaN             2              2             2   \n",
       "top     002908ch           NaN            NO             NO            NO   \n",
       "freq         206           NaN          3875           4711          3300   \n",
       "mean         NaN     53.374404           NaN            NaN           NaN   \n",
       "std          NaN     37.268208           NaN            NaN           NaN   \n",
       "min          NaN      1.000000           NaN            NaN           NaN   \n",
       "25%          NaN     24.000000           NaN            NaN           NaN   \n",
       "50%          NaN     48.000000           NaN            NaN           NaN   \n",
       "75%          NaN     75.000000           NaN            NaN           NaN   \n",
       "max          NaN    207.000000           NaN            NaN           NaN   \n",
       "\n",
       "       Pitch class D# Pitch class E Pitch class F Pitch class F#  \\\n",
       "count            5665          5665          5665           5665   \n",
       "unique              2             2             2              2   \n",
       "top                NO            NO            NO             NO   \n",
       "freq             4956          3540          4381           4253   \n",
       "mean              NaN           NaN           NaN            NaN   \n",
       "std               NaN           NaN           NaN            NaN   \n",
       "min               NaN           NaN           NaN            NaN   \n",
       "25%               NaN           NaN           NaN            NaN   \n",
       "50%               NaN           NaN           NaN            NaN   \n",
       "75%               NaN           NaN           NaN            NaN   \n",
       "max               NaN           NaN           NaN            NaN   \n",
       "\n",
       "       Pitch class G Pitch class G# Pitch class A Pitch class A#  \\\n",
       "count           5665           5665          5665           5665   \n",
       "unique             2              2             2              2   \n",
       "top               NO             NO            NO             NO   \n",
       "freq            3523           5006          3290           4644   \n",
       "mean             NaN            NaN           NaN            NaN   \n",
       "std              NaN            NaN           NaN            NaN   \n",
       "min              NaN            NaN           NaN            NaN   \n",
       "25%              NaN            NaN           NaN            NaN   \n",
       "50%              NaN            NaN           NaN            NaN   \n",
       "75%              NaN            NaN           NaN            NaN   \n",
       "max              NaN            NaN           NaN            NaN   \n",
       "\n",
       "       Pitch class B Pitch class Bass        Meter Chord label  \n",
       "count           5665             5665  5665.000000        5665  \n",
       "unique             2               16          NaN         102  \n",
       "top               NO                D          NaN         D_M  \n",
       "freq            3874              689          NaN         503  \n",
       "mean             NaN              NaN     3.134863         NaN  \n",
       "std              NaN              NaN     1.109710         NaN  \n",
       "min              NaN              NaN     1.000000         NaN  \n",
       "25%              NaN              NaN     2.000000         NaN  \n",
       "50%              NaN              NaN     3.000000         NaN  \n",
       "75%              NaN              NaN     4.000000         NaN  \n",
       "max              NaN              NaN     5.000000         NaN  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe(include = 'all')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([' NO', 'YES'], dtype=object)"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['Pitch class F#'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([' F_M', ' C_M', ' D_m', ' BbM', ' C_M7', ' D_m7', ' G_M', ' A_m',\n",
       "       ' C_M4', ' G_m', ' G_M7', ' D_M', ' F#d', ' AbM', ' C#d7', ' D_M7',\n",
       "       ' A_M', ' EbM', ' F_M7', ' C_m', ' A_M4', ' F#m', ' B_M', ' E_M',\n",
       "       ' D#d', ' C#M', ' F#m7', ' A#d', ' B_m', ' E_M7', ' E_m', ' F#M',\n",
       "       ' F#M7', ' B_M7', ' A_m6', ' C#d', ' A_m7', ' A_d', ' C_m7',\n",
       "       ' G_m6', ' D_M4', ' G_m7', ' E_m7', ' E_m6', ' A_M7', ' C#m',\n",
       "       ' C#M7', ' A#d7', ' EbM7', ' B_m7', ' E_M4', ' C#m7', ' F_M4',\n",
       "       ' D_m6', ' G#d', ' G#d7', ' A_m4', ' D_M6', ' F_d', ' B_m6',\n",
       "       ' B_M4', ' C_m6', ' F_m', ' G_M4', ' F_m7', ' C_d6', ' F_m6',\n",
       "       ' G_M6', ' A_M6', ' F_M6', ' F#M4', ' B_d7', ' D_d7', ' E_d',\n",
       "       ' Bbm', ' Bbm6', ' DbM', ' C_d7', ' F#d7', ' Abd', ' Ebd', ' Dbd7',\n",
       "       ' Dbd', ' Bbd', ' Dbm7', ' Abm', ' DbM7', ' Dbm', ' F#m6', ' G#m',\n",
       "       ' B_d', ' C_M6', ' D#m', ' D#M', ' BbM7', ' F_d7', ' C#d6', ' G_d',\n",
       "       ' G#M', ' C#M4', ' D#d6', ' D#d7'], dtype=object)"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['Chord label'].unique()"
   ]
  },
  {
   "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": []
  },
  {
   "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": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}