CRIM_Durational_Ratios_and_Corpus.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "3e150d50",
   "metadata": {},
   "source": [
    "#  Durational Ratios\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "26dd55e4",
   "metadata": {},
   "source": [
    "## A. Import Intervals and Other Code\n",
    "\n",
    "* See the Corpus Methods notebook for details on the various options for local and remote files\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "6b1ab1ca",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "saved_csv folder already exists.\n",
      "Music_Files folder already exists.\n"
     ]
    }
   ],
   "source": [
    "import intervals\n",
    "from intervals import * \n",
    "from intervals import main_objs\n",
    "import pandas as pd\n",
    "import re\n",
    "import requests\n",
    "import os\n",
    "import glob as glob\n",
    "\n",
    "MYDIR = (\"saved_csv\")\n",
    "CHECK_FOLDER = os.path.isdir(MYDIR)\n",
    "\n",
    "# If folder doesn't exist, then create it.\n",
    "if not CHECK_FOLDER:\n",
    "    os.makedirs(MYDIR)\n",
    "    print(\"created folder : \", MYDIR)\n",
    "else:\n",
    "    print(MYDIR, \"folder already exists.\")\n",
    "    \n",
    "MUSDIR = (\"Music_Files\")\n",
    "CHECK_FOLDER = os.path.isdir(MUSDIR)\n",
    "\n",
    "# If folder doesn't exist, then create it.\n",
    "if not CHECK_FOLDER:\n",
    "    os.makedirs(MUSDIR)\n",
    "    print(\"created folder : \", MUSDIR)\n",
    "else:\n",
    "    print(MUSDIR, \"folder already exists.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ea2c36c9",
   "metadata": {},
   "source": [
    "### Full CRIM Corpus\n",
    "\n",
    "* Here we omit various monophonic pieces and a few others for which there are errors.\n",
    "\n",
    "```\n",
    "piece_list = []\n",
    "raw_prefix = \"https://raw.githubusercontent.com/CRIM-Project/CRIM-online/master/crim/static/mei/MEI_4.0/\"\n",
    "URL = \"https://api.github.com/repos/CRIM-Project/CRIM-online/git/trees/990f5eb3ff1e9623711514d6609da4076257816c\"\n",
    "piece_json = requests.get(URL).json()\n",
    "```\n",
    "\n",
    "* A list of files to exclude:\n",
    "\n",
    "```\n",
    "exclude_list = ['CRIM_Model_0003.mei', 'CRIM_Model_0004.mei', 'CRIM_Model_0005.mei', 'CRIM_Model_0006.mei', 'CRIM_Model_0007.mei','CRIM_Model_0022.mei', 'CRIM_Model_0028.mei', 'CRIM_Model_0035.mei', 'CRIM_Mass_0029_4.mei', 'CRIM_Mass_0049_2.mei','CRIM_Mass_0049_5.mei']\n",
    "```\n",
    "\n",
    "*  The following ensures that we don't try to analyze the 'Mass head only' files, which have no musical content:\n",
    "\n",
    "```\n",
    "pattern = 'CRIM_Mass_([0-9]{4}).mei\n",
    "```\n",
    "\n",
    "* Now the request for all the files\n",
    "\n",
    "\n",
    "```for p in piece_json[\"tree\"]:\n",
    "p_name = p[\"path\"]\n",
    "if re.search(pattern, p_name):\n",
    "    pass\n",
    "elif p_name in exclude_list:\n",
    "    pass\n",
    "else:\n",
    "    piece_list.append(raw_prefix + p[\"path\"])\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "08ed4893",
   "metadata": {},
   "outputs": [],
   "source": [
    "# this will pull ALL pieces from CRIM on Github\n",
    "# Note that we exclude various monophonic pieces (which have no contrapuntal cadences)\n",
    "# and also a few pieces that seem to throw errors for reasons we don't understand.\n",
    "corpus_list = []\n",
    "raw_prefix = \"https://raw.githubusercontent.com/CRIM-Project/CRIM-online/master/crim/static/mei/MEI_4.0/\"\n",
    "URL = \"https://api.github.com/repos/CRIM-Project/CRIM-online/git/trees/990f5eb3ff1e9623711514d6609da4076257816c\"\n",
    "piece_json = requests.get(URL).json()\n",
    "\n",
    "# list of files to exclude\n",
    "exclude_list = ['CRIM_Model_0003.mei', 'CRIM_Model_0004.mei', 'CRIM_Model_0005.mei', 'CRIM_Model_0006.mei', \n",
    "             'CRIM_Model_0007.mei',\n",
    "            'CRIM_Model_0022.mei', 'CRIM_Model_0028.mei', 'CRIM_Model_0035.mei', 'CRIM_Mass_0029_4.mei', \n",
    "             'CRIM_Mass_0049_2.mei',\n",
    "            'CRIM_Mass_0049_5.mei']\n",
    "\n",
    "# this ensures that we don't try to analyze the 'Mass head only' files, which have no musical content\n",
    "\n",
    "pattern = 'CRIM_Mass_([0-9]{4}).mei'\n",
    "\n",
    "# and now the request for all the files\n",
    "for p in piece_json[\"tree\"]:\n",
    "    p_name = p[\"path\"]\n",
    "    if re.search(pattern, p_name):\n",
    "        pass\n",
    "    elif p_name in exclude_list:\n",
    "        pass\n",
    "    else:\n",
    "        corpus_list.append(raw_prefix + p[\"path\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "79b55b39",
   "metadata": {},
   "outputs": [],
   "source": [
    "# short list for testing:\n",
    "\n",
    "corpus_list = corpus_list[0:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "42f5461d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Previously imported piece detected.\n",
      "Previously imported piece detected.\n",
      "Previously imported piece detected.\n",
      "Previously imported piece detected.\n",
      "Previously imported piece detected.\n"
     ]
    }
   ],
   "source": [
    "# now pass the corpus_list to corpbase (which creates the music21 files)\n",
    "corpus  = CorpusBase(corpus_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "2cb3697c",
   "metadata": {},
   "outputs": [
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       "      <th>Composer</th>\n",
       "      <th>Title</th>\n",
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       "      <td>Pierre Colin</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>Missa Confitemini: Kyrie</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>(-2_1.0, -2_1.0, -2_2.0)</td>\n",
       "      <td>(2_2.0, 2_1.0, -4_2.0)</td>\n",
       "      <td>Pierre Colin</td>\n",
       "      <td>Missa Confitemini: Agnus Dei</td>\n",
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       "    <tr>\n",
       "      <th>253.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>(-2_0.33, -2_1.0, -2_1.0)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Pierre Colin</td>\n",
       "      <td>Missa Confitemini: Agnus Dei</td>\n",
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       "      <th>254.0</th>\n",
       "      <td>(-2_2.0, -2_0.5, 2_8.0)</td>\n",
       "      <td>(-2_1.0, -2_1.0, 2_4.0)</td>\n",
       "      <td>(-2_1.0, -2_2.0, -2_4.0)</td>\n",
       "      <td>(2_1.0, -4_2.0, 4_4.0)</td>\n",
       "      <td>Pierre Colin</td>\n",
       "      <td>Missa Confitemini: Agnus Dei</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>Missa Confitemini: Agnus Dei</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Pierre Colin</td>\n",
       "      <td>Missa Confitemini: Agnus Dei</td>\n",
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       "                              1                          2  \\\n",
       "6.0     (1_0.33, -2_2.0, 2_1.0)     (1_0.33, 1_2.0, 1_1.0)   \n",
       "8.0     (-2_2.0, 2_1.0, 2_0.75)     (1_2.0, 1_1.0, 3_0.75)   \n",
       "12.0   (2_1.0, 2_0.75, -2_0.33)   (1_1.0, 3_0.75, -2_0.17)   \n",
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       "19.0   (-2_0.33, 2_1.0, -3_1.0)  (-2_0.17, -2_1.0, -2_4.0)   \n",
       "...                         ...                        ...   \n",
       "252.0  (-2_1.0, -2_2.0, -2_0.5)                        NaN   \n",
       "253.0                       NaN  (-2_0.33, -2_1.0, -2_1.0)   \n",
       "254.0   (-2_2.0, -2_0.5, 2_8.0)    (-2_1.0, -2_1.0, 2_4.0)   \n",
       "255.0                       NaN     (-2_1.0, 2_4.0, 1_4.0)   \n",
       "256.0                       NaN                        NaN   \n",
       "\n",
       "                               3                         4      Composer  \\\n",
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       "8.0      (-2_2.0, 2_1.0, 2_0.75)   (-4_2.0, 4_1.0, -2_1.5)  Pierre Colin   \n",
       "12.0    (2_1.0, 2_0.75, -2_0.33)  (4_1.0, -2_1.5, -5_0.33)  Pierre Colin   \n",
       "16.0   (2_0.75, -2_0.33, -2_2.0)  (-2_1.5, -5_0.33, 4_2.0)  Pierre Colin   \n",
       "19.0   (-2_0.33, -2_2.0, -2_0.5)                       NaN  Pierre Colin   \n",
       "...                          ...                       ...           ...   \n",
       "252.0   (-2_1.0, -2_1.0, -2_2.0)    (2_2.0, 2_1.0, -4_2.0)  Pierre Colin   \n",
       "253.0                        NaN                       NaN  Pierre Colin   \n",
       "254.0   (-2_1.0, -2_2.0, -2_4.0)    (2_1.0, -4_2.0, 4_4.0)  Pierre Colin   \n",
       "255.0                        NaN                       NaN  Pierre Colin   \n",
       "256.0                        NaN                       NaN  Pierre Colin   \n",
       "\n",
       "                              Title  \n",
       "6.0        Missa Confitemini: Kyrie  \n",
       "8.0        Missa Confitemini: Kyrie  \n",
       "12.0       Missa Confitemini: Kyrie  \n",
       "16.0       Missa Confitemini: Kyrie  \n",
       "19.0       Missa Confitemini: Kyrie  \n",
       "...                             ...  \n",
       "252.0  Missa Confitemini: Agnus Dei  \n",
       "253.0  Missa Confitemini: Agnus Dei  \n",
       "254.0  Missa Confitemini: Agnus Dei  \n",
       "255.0  Missa Confitemini: Agnus Dei  \n",
       "256.0  Missa Confitemini: Agnus Dei  \n",
       "\n",
       "[1668 rows x 6 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# set length of desired ngrams\n",
    "n = 3\n",
    "func = ImportedPiece.durationalRatios\n",
    "list_of_dur_rats = corpus.batch(func=func, metadata=True)\n",
    "list_of_dur_rats_rounded = []\n",
    "for df in list_of_dur_rats:\n",
    "    list_of_dur_rats_rounded.append(df.round(2))\n",
    "func2 = ImportedPiece.melodic\n",
    "list_of_mel = corpus.batch(func=func2, kwargs={'kind' : 'd'})\n",
    "func3 = ImportedPiece.ngrams\n",
    "list_of_ngrs = corpus.batch(func=func3, kwargs={'df' : list_of_mel, 'other' : list_of_dur_rats_rounded, 'n' : n})\n",
    "combined_df = pd.concat(list_of_ngrs, ignore_index=False)\n",
    "combined_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "a5f5603b",
   "metadata": {},
   "outputs": [
    {
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       "      <th>6.0</th>\n",
       "      <td>(1_0.33, -2_2.0, 2_1.0)</td>\n",
       "      <td>(1_0.33, 1_2.0, 1_1.0)</td>\n",
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       "      <td>Pierre Colin</td>\n",
       "      <td>Missa Confitemini: Kyrie</td>\n",
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       "      <th>8.0</th>\n",
       "      <td>(-2_2.0, 2_1.0, 2_0.75)</td>\n",
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       "      <td>(-4_2.0, 4_1.0, -2_1.5)</td>\n",
       "      <td>Pierre Colin</td>\n",
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       "      <td>Pierre Colin</td>\n",
       "      <td>Missa Confitemini: Kyrie</td>\n",
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       "      <th>16.0</th>\n",
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       "      <td>(2_0.75, -2_0.33, -2_2.0)</td>\n",
       "      <td>(-2_1.5, -5_0.33, 4_2.0)</td>\n",
       "      <td>Pierre Colin</td>\n",
       "      <td>Missa Confitemini: Kyrie</td>\n",
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       "      <th>19.0</th>\n",
       "      <td>(-2_0.33, 2_1.0, -3_1.0)</td>\n",
       "      <td>(-2_0.17, -2_1.0, -2_4.0)</td>\n",
       "      <td>(-2_0.33, -2_2.0, -2_0.5)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Pierre Colin</td>\n",
       "      <td>Missa Confitemini: Kyrie</td>\n",
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       "      <th>252.0</th>\n",
       "      <td>(-2_1.0, -2_2.0, -2_0.5)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(-2_1.0, -2_1.0, -2_2.0)</td>\n",
       "      <td>(2_2.0, 2_1.0, -4_2.0)</td>\n",
       "      <td>Pierre Colin</td>\n",
       "      <td>Missa Confitemini: Agnus Dei</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>(-2_0.33, -2_1.0, -2_1.0)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Pierre Colin</td>\n",
       "      <td>Missa Confitemini: Agnus Dei</td>\n",
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       "    <tr>\n",
       "      <th>254.0</th>\n",
       "      <td>(-2_2.0, -2_0.5, 2_8.0)</td>\n",
       "      <td>(-2_1.0, -2_1.0, 2_4.0)</td>\n",
       "      <td>(-2_1.0, -2_2.0, -2_4.0)</td>\n",
       "      <td>(2_1.0, -4_2.0, 4_4.0)</td>\n",
       "      <td>Pierre Colin</td>\n",
       "      <td>Missa Confitemini: Agnus Dei</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>255.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>(-2_1.0, 2_4.0, 1_4.0)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Pierre Colin</td>\n",
       "      <td>Missa Confitemini: Agnus Dei</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>256.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Pierre Colin</td>\n",
       "      <td>Missa Confitemini: Agnus Dei</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1668 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                              1                          2  \\\n",
       "6.0     (1_0.33, -2_2.0, 2_1.0)     (1_0.33, 1_2.0, 1_1.0)   \n",
       "8.0     (-2_2.0, 2_1.0, 2_0.75)     (1_2.0, 1_1.0, 3_0.75)   \n",
       "12.0   (2_1.0, 2_0.75, -2_0.33)   (1_1.0, 3_0.75, -2_0.17)   \n",
       "16.0   (2_0.75, -2_0.33, 2_1.0)  (3_0.75, -2_0.17, -2_1.0)   \n",
       "19.0   (-2_0.33, 2_1.0, -3_1.0)  (-2_0.17, -2_1.0, -2_4.0)   \n",
       "...                         ...                        ...   \n",
       "252.0  (-2_1.0, -2_2.0, -2_0.5)                        NaN   \n",
       "253.0                       NaN  (-2_0.33, -2_1.0, -2_1.0)   \n",
       "254.0   (-2_2.0, -2_0.5, 2_8.0)    (-2_1.0, -2_1.0, 2_4.0)   \n",
       "255.0                       NaN     (-2_1.0, 2_4.0, 1_4.0)   \n",
       "256.0                       NaN                        NaN   \n",
       "\n",
       "                               3                         4      Composer  \\\n",
       "6.0      (1_0.33, -2_2.0, 2_1.0)   (1_0.33, -4_2.0, 4_1.0)  Pierre Colin   \n",
       "8.0      (-2_2.0, 2_1.0, 2_0.75)   (-4_2.0, 4_1.0, -2_1.5)  Pierre Colin   \n",
       "12.0    (2_1.0, 2_0.75, -2_0.33)  (4_1.0, -2_1.5, -5_0.33)  Pierre Colin   \n",
       "16.0   (2_0.75, -2_0.33, -2_2.0)  (-2_1.5, -5_0.33, 4_2.0)  Pierre Colin   \n",
       "19.0   (-2_0.33, -2_2.0, -2_0.5)                       NaN  Pierre Colin   \n",
       "...                          ...                       ...           ...   \n",
       "252.0   (-2_1.0, -2_1.0, -2_2.0)    (2_2.0, 2_1.0, -4_2.0)  Pierre Colin   \n",
       "253.0                        NaN                       NaN  Pierre Colin   \n",
       "254.0   (-2_1.0, -2_2.0, -2_4.0)    (2_1.0, -4_2.0, 4_4.0)  Pierre Colin   \n",
       "255.0                        NaN                       NaN  Pierre Colin   \n",
       "256.0                        NaN                       NaN  Pierre Colin   \n",
       "\n",
       "                              Title  \n",
       "6.0        Missa Confitemini: Kyrie  \n",
       "8.0        Missa Confitemini: Kyrie  \n",
       "12.0       Missa Confitemini: Kyrie  \n",
       "16.0       Missa Confitemini: Kyrie  \n",
       "19.0       Missa Confitemini: Kyrie  \n",
       "...                             ...  \n",
       "252.0  Missa Confitemini: Agnus Dei  \n",
       "253.0  Missa Confitemini: Agnus Dei  \n",
       "254.0  Missa Confitemini: Agnus Dei  \n",
       "255.0  Missa Confitemini: Agnus Dei  \n",
       "256.0  Missa Confitemini: Agnus Dei  \n",
       "\n",
       "[1668 rows x 6 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# set length of desired ngrams\n",
    "n = 3\n",
    "func = ImportedPiece.durationalRatios\n",
    "list_of_dur_rats = corpus.batch(func=func, metadata=True)\n",
    "list_of_dur_rats_rounded = []\n",
    "for df in list_of_dur_rats:\n",
    "    list_of_dur_rats_rounded.append(df.round(2).astype(str))\n",
    "func2 = ImportedPiece.melodic\n",
    "list_of_mel = corpus.batch(func=func2, kwargs={'kind' : 'd'})\n",
    "func3 = ImportedPiece.ngrams\n",
    "list_of_ngrs = corpus.batch(func=func3, kwargs={'df' : list_of_mel, 'other' : list_of_dur_rats_rounded, 'n' : n})\n",
    "combined_df = pd.concat(list_of_ngrs, ignore_index=False)\n",
    "combined_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "d67c75c3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\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>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>Composer</th>\n",
       "      <th>Title</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6.0</th>\n",
       "      <td>(1, -2, 2)</td>\n",
       "      <td>(1, 1, 1)</td>\n",
       "      <td>(1, -2, 2)</td>\n",
       "      <td>(1, -4, 4)</td>\n",
       "      <td>Pierre Colin</td>\n",
       "      <td>Missa Confitemini: Kyrie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8.0</th>\n",
       "      <td>(-2, 2, 2)</td>\n",
       "      <td>(1, 1, 3)</td>\n",
       "      <td>(-2, 2, 2)</td>\n",
       "      <td>(-4, 4, -2)</td>\n",
       "      <td>Pierre Colin</td>\n",
       "      <td>Missa Confitemini: Kyrie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12.0</th>\n",
       "      <td>(2, 2, -2)</td>\n",
       "      <td>(1, 3, -2)</td>\n",
       "      <td>(2, 2, -2)</td>\n",
       "      <td>(4, -2, -5)</td>\n",
       "      <td>Pierre Colin</td>\n",
       "      <td>Missa Confitemini: Kyrie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16.0</th>\n",
       "      <td>(2, -2, 2)</td>\n",
       "      <td>(3, -2, -2)</td>\n",
       "      <td>(2, -2, -2)</td>\n",
       "      <td>(-2, -5, 4)</td>\n",
       "      <td>Pierre Colin</td>\n",
       "      <td>Missa Confitemini: Kyrie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19.0</th>\n",
       "      <td>(-2, 2, -3)</td>\n",
       "      <td>(-2, -2, -2)</td>\n",
       "      <td>(-2, -2, -2)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Pierre Colin</td>\n",
       "      <td>Missa Confitemini: Kyrie</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250.0</th>\n",
       "      <td>(4, -2, -2)</td>\n",
       "      <td>(3, -2, -2)</td>\n",
       "      <td>(4, -2, -2)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Pierre Colin</td>\n",
       "      <td>Missa Confitemini: Agnus Dei</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>252.0</th>\n",
       "      <td>(-2, -2, -2)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(-2, -2, -2)</td>\n",
       "      <td>(2, 2, -4)</td>\n",
       "      <td>Pierre Colin</td>\n",
       "      <td>Missa Confitemini: Agnus Dei</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>(-2, -2, -2)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Pierre Colin</td>\n",
       "      <td>Missa Confitemini: Agnus Dei</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>254.0</th>\n",
       "      <td>(-2, -2, 2)</td>\n",
       "      <td>(-2, -2, 2)</td>\n",
       "      <td>(-2, -2, -2)</td>\n",
       "      <td>(2, -4, 4)</td>\n",
       "      <td>Pierre Colin</td>\n",
       "      <td>Missa Confitemini: Agnus Dei</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>255.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>(-2, 2, 1)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Pierre Colin</td>\n",
       "      <td>Missa Confitemini: Agnus Dei</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1478 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  1             2             3            4      Composer  \\\n",
       "6.0      (1, -2, 2)     (1, 1, 1)    (1, -2, 2)   (1, -4, 4)  Pierre Colin   \n",
       "8.0      (-2, 2, 2)     (1, 1, 3)    (-2, 2, 2)  (-4, 4, -2)  Pierre Colin   \n",
       "12.0     (2, 2, -2)    (1, 3, -2)    (2, 2, -2)  (4, -2, -5)  Pierre Colin   \n",
       "16.0     (2, -2, 2)   (3, -2, -2)   (2, -2, -2)  (-2, -5, 4)  Pierre Colin   \n",
       "19.0    (-2, 2, -3)  (-2, -2, -2)  (-2, -2, -2)          NaN  Pierre Colin   \n",
       "...             ...           ...           ...          ...           ...   \n",
       "250.0   (4, -2, -2)   (3, -2, -2)   (4, -2, -2)          NaN  Pierre Colin   \n",
       "252.0  (-2, -2, -2)           NaN  (-2, -2, -2)   (2, 2, -4)  Pierre Colin   \n",
       "253.0           NaN  (-2, -2, -2)           NaN          NaN  Pierre Colin   \n",
       "254.0   (-2, -2, 2)   (-2, -2, 2)  (-2, -2, -2)   (2, -4, 4)  Pierre Colin   \n",
       "255.0           NaN    (-2, 2, 1)           NaN          NaN  Pierre Colin   \n",
       "\n",
       "                              Title  \n",
       "6.0        Missa Confitemini: Kyrie  \n",
       "8.0        Missa Confitemini: Kyrie  \n",
       "12.0       Missa Confitemini: Kyrie  \n",
       "16.0       Missa Confitemini: Kyrie  \n",
       "19.0       Missa Confitemini: Kyrie  \n",
       "...                             ...  \n",
       "250.0  Missa Confitemini: Agnus Dei  \n",
       "252.0  Missa Confitemini: Agnus Dei  \n",
       "253.0  Missa Confitemini: Agnus Dei  \n",
       "254.0  Missa Confitemini: Agnus Dei  \n",
       "255.0  Missa Confitemini: Agnus Dei  \n",
       "\n",
       "[1478 rows x 6 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# now just the mel\n",
    "n = 3\n",
    "func = ImportedPiece.durationalRatios\n",
    "list_of_dur_rats = corpus.batch(func=func, metadata=True)\n",
    "list_of_dur_rats_rounded = []\n",
    "for df in list_of_dur_rats:\n",
    "    list_of_dur_rats_rounded.append(df.round(2))\n",
    "func2 = ImportedPiece.melodic\n",
    "list_of_mel = corpus.batch(func=func2, kwargs={'kind' : 'd'})\n",
    "func3 = ImportedPiece.ngrams\n",
    "list_of_mel_ngrs = corpus.batch(func=func3, kwargs={'df' : list_of_mel, 'n' : n})\n",
    "combined_mel_dfs = pd.concat(list_of_mel_ngrs, ignore_index=False)\n",
    "combined_mel_dfs = combined_mel_dfs.dropna(how=\"all\", subset=combined_mel_dfs.columns[:-3])\n",
    "combined_mel_dfs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "a3438f5d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\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>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>Composer</th>\n",
       "      <th>Title</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6.0</th>\n",
       "      <td>(0.33, 2.0, 1.0)</td>\n",
       "      <td>(0.33, 2.0, 1.0)</td>\n",
       "      <td>(0.33, 2.0, 1.0)</td>\n",
       "      <td>(0.33, 2.0, 1.0)</td>\n",
       "      <td>Pierre Colin</td>\n",
       "      <td>Missa Confitemini: Kyrie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8.0</th>\n",
       "      <td>(2.0, 1.0, 0.75)</td>\n",
       "      <td>(2.0, 1.0, 0.75)</td>\n",
       "      <td>(2.0, 1.0, 0.75)</td>\n",
       "      <td>(2.0, 1.0, 1.5)</td>\n",
       "      <td>Pierre Colin</td>\n",
       "      <td>Missa Confitemini: Kyrie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12.0</th>\n",
       "      <td>(1.0, 0.75, 0.33)</td>\n",
       "      <td>(1.0, 0.75, 0.17)</td>\n",
       "      <td>(1.0, 0.75, 0.33)</td>\n",
       "      <td>(1.0, 1.5, nan)</td>\n",
       "      <td>Pierre Colin</td>\n",
       "      <td>Missa Confitemini: Kyrie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16.0</th>\n",
       "      <td>(0.75, 0.33, nan)</td>\n",
       "      <td>(0.75, 0.17, 1.0)</td>\n",
       "      <td>(0.75, 0.33, nan)</td>\n",
       "      <td>(1.5, nan, nan)</td>\n",
       "      <td>Pierre Colin</td>\n",
       "      <td>Missa Confitemini: Kyrie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19.0</th>\n",
       "      <td>(0.33, nan, 1.0)</td>\n",
       "      <td>(0.17, 1.0, 4.0)</td>\n",
       "      <td>(0.33, nan, 2.0)</td>\n",
       "      <td>(nan, nan, nan)</td>\n",
       "      <td>Pierre Colin</td>\n",
       "      <td>Missa Confitemini: Kyrie</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229.0</th>\n",
       "      <td>(nan, 2.0, nan)</td>\n",
       "      <td>(nan, 1.0, nan)</td>\n",
       "      <td>(1.0, 1.0, 0.5)</td>\n",
       "      <td>(nan, 1.0, nan)</td>\n",
       "      <td>Pierre Colin</td>\n",
       "      <td>Missa Confitemini: Kyrie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230.0</th>\n",
       "      <td>(2.0, nan, nan)</td>\n",
       "      <td>(1.0, nan, nan)</td>\n",
       "      <td>(1.0, 0.5, 1.0)</td>\n",
       "      <td>(1.0, nan, nan)</td>\n",
       "      <td>Pierre Colin</td>\n",
       "      <td>Missa Confitemini: Kyrie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231.0</th>\n",
       "      <td>(nan, nan, nan)</td>\n",
       "      <td>(nan, nan, 2.0)</td>\n",
       "      <td>(0.5, 1.0, 4.0)</td>\n",
       "      <td>(nan, nan, 2.0)</td>\n",
       "      <td>Pierre Colin</td>\n",
       "      <td>Missa Confitemini: Kyrie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231.5</th>\n",
       "      <td>(nan, nan, 0.5)</td>\n",
       "      <td>(nan, 2.0, nan)</td>\n",
       "      <td>(1.0, 4.0, 1.0)</td>\n",
       "      <td>(nan, 2.0, nan)</td>\n",
       "      <td>Pierre Colin</td>\n",
       "      <td>Missa Confitemini: Kyrie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232.0</th>\n",
       "      <td>(nan, 0.5, 8.0)</td>\n",
       "      <td>(2.0, nan, 4.0)</td>\n",
       "      <td>(4.0, 1.0, 8.0)</td>\n",
       "      <td>(2.0, nan, 4.0)</td>\n",
       "      <td>Pierre Colin</td>\n",
       "      <td>Missa Confitemini: Kyrie</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>131 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                       1                  2                  3  \\\n",
       "6.0     (0.33, 2.0, 1.0)   (0.33, 2.0, 1.0)   (0.33, 2.0, 1.0)   \n",
       "8.0     (2.0, 1.0, 0.75)   (2.0, 1.0, 0.75)   (2.0, 1.0, 0.75)   \n",
       "12.0   (1.0, 0.75, 0.33)  (1.0, 0.75, 0.17)  (1.0, 0.75, 0.33)   \n",
       "16.0   (0.75, 0.33, nan)  (0.75, 0.17, 1.0)  (0.75, 0.33, nan)   \n",
       "19.0    (0.33, nan, 1.0)   (0.17, 1.0, 4.0)   (0.33, nan, 2.0)   \n",
       "...                  ...                ...                ...   \n",
       "229.0    (nan, 2.0, nan)    (nan, 1.0, nan)    (1.0, 1.0, 0.5)   \n",
       "230.0    (2.0, nan, nan)    (1.0, nan, nan)    (1.0, 0.5, 1.0)   \n",
       "231.0    (nan, nan, nan)    (nan, nan, 2.0)    (0.5, 1.0, 4.0)   \n",
       "231.5    (nan, nan, 0.5)    (nan, 2.0, nan)    (1.0, 4.0, 1.0)   \n",
       "232.0    (nan, 0.5, 8.0)    (2.0, nan, 4.0)    (4.0, 1.0, 8.0)   \n",
       "\n",
       "                      4      Composer                     Title  \n",
       "6.0    (0.33, 2.0, 1.0)  Pierre Colin  Missa Confitemini: Kyrie  \n",
       "8.0     (2.0, 1.0, 1.5)  Pierre Colin  Missa Confitemini: Kyrie  \n",
       "12.0    (1.0, 1.5, nan)  Pierre Colin  Missa Confitemini: Kyrie  \n",
       "16.0    (1.5, nan, nan)  Pierre Colin  Missa Confitemini: Kyrie  \n",
       "19.0    (nan, nan, nan)  Pierre Colin  Missa Confitemini: Kyrie  \n",
       "...                 ...           ...                       ...  \n",
       "229.0   (nan, 1.0, nan)  Pierre Colin  Missa Confitemini: Kyrie  \n",
       "230.0   (1.0, nan, nan)  Pierre Colin  Missa Confitemini: Kyrie  \n",
       "231.0   (nan, nan, 2.0)  Pierre Colin  Missa Confitemini: Kyrie  \n",
       "231.5   (nan, 2.0, nan)  Pierre Colin  Missa Confitemini: Kyrie  \n",
       "232.0   (2.0, nan, 4.0)  Pierre Colin  Missa Confitemini: Kyrie  \n",
       "\n",
       "[131 rows x 6 columns]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "# and just dur\n",
    "n = 3\n",
    "dur_rat_ngs =  []\n",
    "func = ImportedPiece.durationalRatios\n",
    "list_of_dur_rats = corpus.batch(func=func)\n",
    "list_of_dur_rats_rounded = []\n",
    "for df in list_of_dur_rats:\n",
    "    list_of_dur_rats_rounded.append(df.round(2).astype(str))\n",
    "func2 = ImportedPiece.ngrams\n",
    "list_of_dur_ngrs = corpus.batch(func=func2, kwargs={'df' : list_of_dur_rats_rounded, 'n' : n, 'exclude' : \"Rest\"})\n",
    "# for df in list_of_dur_ngrs:\n",
    "# #     df.dropna(how='any', subset=combined_dur_dfs.columns[:-3])\n",
    "#     dur_rat_ngs.append(df)\n",
    "    \n",
    "# list_of_dur_ngrs = list_of_dur_ngrs.dropna(how='any', subset=combined_dur_dfs.columns[:-3])\n",
    "# combined_dur_dfs = combined_dur_dfs.dropna(how=\"all\", subset=combined_dur_dfs.columns[:-3])\n",
    "# combined_dur_dfs\n",
    "list_of_dur_ngrs[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "7237a39c",
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'combined_mel_dfs' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m/var/folders/_s/4t2p1z2x0yxcv068dtqj31tw0000gq/T/ipykernel_35445/1381645185.py\u001b[0m in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mdf2\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmerge\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcombined_mel_dfs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcombined_dur_dfs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mleft_index\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mright_index\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mdf2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfillna\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m''\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mNameError\u001b[0m: name 'combined_mel_dfs' is not defined"
     ]
    }
   ],
   "source": [
    "df2 = pd.merge(combined_mel_dfs, combined_dur_dfs, left_index=True, right_index=True)\n",
    "df2.fillna('')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6b9fcc4e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Select a prefix:\n",
    "# prefix = 'Music_Files/'\n",
    "prefix = 'https://crimproject.org/mei/' \n",
    "\n",
    "\n",
    "# Add your filename here\n",
    "mei_file = 'CRIM_Model_0008.mei'\n",
    "\n",
    "# These join the strings and import the piece\n",
    "url = prefix + mei_file\n",
    "piece = importScore(url)\n",
    "\n",
    "print(piece.metadata)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "65cf810e",
   "metadata": {},
   "outputs": [],
   "source": [
    "dr = piece.durationalRatios().round(3)\n",
    "mel = piece.melodic(kind='d')\n",
    "ng = piece.ngrams(df=mel, other=dr,  n=1)\n",
    "ng2 = piece.ngrams(df=mel, other=dr, n=2)\n",
    "ng2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "994d0a17",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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