exploratory_analysis_bach.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "exploratory_analysis_bach.ipynb",
      "version": "0.3.2",
      "provenance": [],
      "collapsed_sections": [],
      "toc_visible": true
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.6.8"
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    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
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    "accelerator": "GPU"
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "upMkQI5Ri8kU",
        "colab_type": "text"
      },
      "source": [
        "# Exploratory analysis of bach dataset"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nIeCTwk5i8kW",
        "colab_type": "code",
        "outputId": "a748755e-5193-4964-be68-bcae57d53b6b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 136
        }
      },
      "source": [
        "# Uncomment the line below and run this cell to get your data from github into colab (only runnable in colab, not ordinary jupyter notebook):\n",
        "! git clone https://github.com/lkriener/music_generation.git && mv music_generation/* . && rm music_generation -r"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Cloning into 'music_generation'...\n",
            "remote: Enumerating objects: 449, done.\u001b[K\n",
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            "Receiving objects:  92% (414/449)   \rReceiving objects:  93% (418/449)   \rReceiving objects:  94% (423/449)   \rReceiving objects:  95% (427/449)   \rReceiving objects:  96% (432/449)   \rReceiving objects:  97% (436/449)   \rReceiving objects:  98% (441/449)   \rReceiving objects:  99% (445/449)   \rReceiving objects: 100% (449/449)   \rReceiving objects: 100% (449/449), 336.89 KiB | 4.32 MiB/s, done.\n",
            "Resolving deltas:   0% (0/38)   \rResolving deltas:  13% (5/38)   \rResolving deltas:  15% (6/38)   \rResolving deltas:  18% (7/38)   \rResolving deltas:  34% (13/38)   \rResolving deltas:  36% (14/38)   \rResolving deltas:  44% (17/38)   \rResolving deltas:  47% (18/38)   \rResolving deltas:  52% (20/38)   \rResolving deltas:  55% (21/38)   \rResolving deltas:  57% (22/38)   \rResolving deltas:  73% (28/38)   \rResolving deltas:  86% (33/38)   \rResolving deltas:  89% (34/38)   \rResolving deltas:  92% (35/38)   \rResolving deltas: 100% (38/38)   \rResolving deltas: 100% (38/38), done.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8PDGFwS8jKrA",
        "colab_type": "code",
        "outputId": "36cbf8b6-c04a-4c41-f482-8cdc9be0a294",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        }
      },
      "source": [
        "# Uncomment line to install requirements\n",
        "! pip install -r colab_requirements.txt"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Requirement already satisfied: pygame==1.9.6 in /usr/local/lib/python3.6/dist-packages (from -r colab_requirements.txt (line 2)) (1.9.6)\n",
            "Requirement already satisfied: py_midicsv==1.9.0 in /usr/local/lib/python3.6/dist-packages (from -r colab_requirements.txt (line 3)) (1.9.0)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Hz32cHiui8kb",
        "colab_type": "code",
        "outputId": "abcba9d3-f507-44ed-b632-97a071a54c54",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        }
      },
      "source": [
        "import src.midi_utils as midi_utils\n",
        "\n",
        "import pygame"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "pygame 1.9.6\n",
            "Hello from the pygame community. https://www.pygame.org/contribute.html\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9SHyV0zBi8kh",
        "colab_type": "code",
        "outputId": "56394c81-ac40-4b9c-af10-ad1ce23026ba",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 215
        }
      },
      "source": [
        "midi_filename = 'data/raw/bwv104.6.mid'\n",
        "# midi_filename = 'data/raw/pkgsc_azalea.mid'\n",
        "pygame.init()\n",
        "pygame.mixer.music.load(midi_filename)\n",
        "pygame.mixer.music.play()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "error",
          "ename": "error",
          "evalue": "ignored",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31merror\u001b[0m                                     Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-6-2e42cb071a4d>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0;31m# midi_filename = 'midi_data/pkgsc_azalea.mid'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0mpygame\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minit\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;32m----> 4\u001b[0;31m \u001b[0mpygame\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmixer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmusic\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mload\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmidi_filename\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      5\u001b[0m \u001b[0mpygame\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmixer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmusic\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplay\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;31merror\u001b[0m: mixer not initialized"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qH3jo86Qi8kj",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "pygame.mixer.music.stop()"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "H3Jhp8jswMtb",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def get_track_name(track_string):\n",
        "  \"\"\"\n",
        "  Get the name of a track.\n",
        "  \"\"\"\n",
        "  for line in track_string:\n",
        "    split_line = [x.strip() for x in line.split(',')]\n",
        "    if split_line[2] == 'Title_t':\n",
        "      return split_line[3]\n"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jfjWKEess7mx",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "440785bf-ab80-4cbd-b1a9-9945acc55d94"
      },
      "source": [
        "# check if first track of bach is usually soprano\n",
        "from src.dataset_utils import TrackDataset, get_dataset_representation_from_tracks\n",
        "\n",
        "tracks = []\n",
        "# iterate over all midi files of folder\n",
        "import glob\n",
        "import os\n",
        "import numpy as np\n",
        "\n",
        "try:\n",
        "    home_dir\n",
        "except NameError:\n",
        "    home_dir = os.getcwd()\n",
        "\n",
        "os.chdir(home_dir + \"/data/raw/bach\")  # go to a folder relative to home dir\n",
        "for midi_file in glob.glob(\"*.mid\"):\n",
        "    # get a list of all soprano tracks\n",
        "    ## load midi file\n",
        "    csv_text = midi_utils.load_to_csv(midi_file)\n",
        "\n",
        "    ## Split into tracks\n",
        "    track_dict = midi_utils.split_tracks(csv_text)\n",
        "    track_nr = '1'\n",
        "    \n",
        "    # find track name\n",
        "    tracks.append(get_track_name(track_dict[track_nr]))\n",
        "\n",
        "    \n",
        "print(set(tracks)) # All types of names\n"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "{'\"S.\"', '\"Soprano\"'}\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "b8Q3soTTi8km",
        "colab_type": "text"
      },
      "source": [
        "# Read songs into pandas"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HxMigMtRi8km",
        "colab_type": "code",
        "outputId": "bce86c11-6a78-4505-8826-23417cd7a9bf",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "from src.dataset_utils import TrackDataset, get_dataset_representation_from_tracks\n",
        "\n",
        "tracks = []\n",
        "# iterate over all midi files of folder\n",
        "import glob\n",
        "import os\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "\n",
        "song_names = []\n",
        "pitches = []\n",
        "lengths = []\n",
        "\n",
        "try:\n",
        "    home_dir\n",
        "except NameError:\n",
        "    home_dir = os.getcwd()\n",
        "\n",
        "os.chdir(home_dir + \"/data/raw/bach\")  # go to a folder relative to home dir\n",
        "for midi_file in glob.glob(\"*.mid\"):\n",
        "    # get a list of all soprano tracks\n",
        "    ## load midi file\n",
        "    csv_text = midi_utils.load_to_csv(midi_file)\n",
        "\n",
        "    ## Split into tracks\n",
        "    track_dict = midi_utils.split_tracks(csv_text)\n",
        "    \n",
        "    track_nr = '1' # soprano track for bach\n",
        "    track_dict[track_nr]\n",
        "\n",
        "    ## Generating numpy array with notes\n",
        "    track = midi_utils.midi_track_to_numpy(track_dict[track_nr])\n",
        "    \n",
        "    for note in track:\n",
        "      song_names.append(midi_file) # store midi file\n",
        "      pitches.append(note[0]) # store pitch\n",
        "      lengths.append(note[1]) # store length\n",
        "    \n",
        "notes_df = pd.DataFrame({\"song names\": song_names,\n",
        "                         \"pitches\": pitches,\n",
        "                         \"lengths\": lengths})\n",
        "\n",
        "len(notes_df)\n",
        "\n"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "21131"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HpfqnFH8i8k-",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 297
        },
        "outputId": "37130f89-d294-41c5-cc7a-e28fdf4150be"
      },
      "source": [
        "notes_df.describe()"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>pitches</th>\n",
              "      <th>lengths</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>21131.000000</td>\n",
              "      <td>21131.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>70.512423</td>\n",
              "      <td>1089.953528</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>3.557435</td>\n",
              "      <td>564.023407</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>60.000000</td>\n",
              "      <td>128.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>69.000000</td>\n",
              "      <td>1024.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>71.000000</td>\n",
              "      <td>1024.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>73.000000</td>\n",
              "      <td>1024.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>81.000000</td>\n",
              "      <td>16384.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "            pitches       lengths\n",
              "count  21131.000000  21131.000000\n",
              "mean      70.512423   1089.953528\n",
              "std        3.557435    564.023407\n",
              "min       60.000000    128.000000\n",
              "25%       69.000000   1024.000000\n",
              "50%       71.000000   1024.000000\n",
              "75%       73.000000   1024.000000\n",
              "max       81.000000  16384.000000"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xxwPzweyS2Vg",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 286
        },
        "outputId": "562ce4ed-6282-48cc-9c47-8e8e68b2ec1e"
      },
      "source": [
        "ax = notes_df['pitches'].plot.hist(bins=12, alpha=0.5)\n",
        "ax.set_ylabel(\"Occurrence\")"
      ],
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0, 0.5, 'Occurrence')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 37
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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psGef5nOBbW16G3DeUPsna+ALwKFJjgTOBLZX1Z6qegrYzveHkSRpCS31GMfaqnq0TT8G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\ng0OS1MXgkCR1MTgkSV3+P3tormtrLPCoAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WfxhCgN3zZ5S",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 300
        },
        "outputId": "159b0c02-c5fe-486c-eae6-d91aaa1d1f82"
      },
      "source": [
        "ax = notes_df['lengths'].apply(lambda x: np.log2(x)).plot.hist(bins=12, alpha=0.5)\n",
        "ax.set_yscale('log')\n",
        "ax.set_ylabel(\"Log (occurrence)\")\n",
        "ax.set_xlabel(\"Log2(note length)\")"
      ],
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 0, 'Log2(note length)')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 36
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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sCElS/ywISVKriSwIxyAkqX8TWRCOQUhS/yayICRJ/bMgJEmtLAhJUisLQpLUyoKQJLXa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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "92ZtZR0Cz0eU",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 283
        },
        "outputId": "7e907f12-426d-41d3-f8ea-3e3e4a7f83b6"
      },
      "source": [
        "ax = notes_df.plot(x='pitches', y='lengths', style='o')\n",
        "ax.set_ylabel(\"log(length)\")\n",
        "ax.set_yscale(\"log\")"
      ],
      "execution_count": 43,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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B/EREJCVhC8QfzexLZnZM/t+XgIP5+7J7EkNEREoKWyAuBf4c2Avsyf+80MzqgasqlJuI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\niARSgRARkUAqECIiEkgFQkREAv1/GmyfVZp3ja0AAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "U33rq6l794-L",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 359
        },
        "outputId": "9cbc31df-5500-4745-9644-0f29533fe117"
      },
      "source": [
        "notes_df.head(10)"
      ],
      "execution_count": 45,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>song names</th>\n",
              "      <th>pitches</th>\n",
              "      <th>lengths</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>bwv284.mid</td>\n",
              "      <td>72</td>\n",
              "      <td>1024</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>bwv284.mid</td>\n",
              "      <td>67</td>\n",
              "      <td>1024</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>bwv284.mid</td>\n",
              "      <td>69</td>\n",
              "      <td>1024</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>bwv284.mid</td>\n",
              "      <td>71</td>\n",
              "      <td>1024</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>bwv284.mid</td>\n",
              "      <td>72</td>\n",
              "      <td>2048</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>bwv284.mid</td>\n",
              "      <td>72</td>\n",
              "      <td>1024</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>bwv284.mid</td>\n",
              "      <td>67</td>\n",
              "      <td>1024</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>bwv284.mid</td>\n",
              "      <td>72</td>\n",
              "      <td>1024</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>bwv284.mid</td>\n",
              "      <td>70</td>\n",
              "      <td>1024</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>bwv284.mid</td>\n",
              "      <td>69</td>\n",
              "      <td>2048</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   song names  pitches  lengths\n",
              "0  bwv284.mid       72     1024\n",
              "1  bwv284.mid       67     1024\n",
              "2  bwv284.mid       69     1024\n",
              "3  bwv284.mid       71     1024\n",
              "4  bwv284.mid       72     2048\n",
              "5  bwv284.mid       72     1024\n",
              "6  bwv284.mid       67     1024\n",
              "7  bwv284.mid       72     1024\n",
              "8  bwv284.mid       70     1024\n",
              "9  bwv284.mid       69     2048"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 45
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JVEpLOD6B5CC",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 359
        },
        "outputId": "474b47ee-f79e-4b7c-e119-ff3a9404cff2"
      },
      "source": [
        "os.chdir(home_dir)\n",
        "midi_note_df = pd.read_csv(\"data/auxiliary/midi-notes.csv\")\n",
        "midi_note_df.head(10)"
      ],
      "execution_count": 81,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>Unnamed: 0</th>\n",
              "      <th>MIDI note number</th>\n",
              "      <th>Key number (Organ)</th>\n",
              "      <th>Key number (Piano)</th>\n",
              "      <th>Note names (English)</th>\n",
              "      <th>Note names (German)</th>\n",
              "      <th>Frequency (Equal tuning at 440 Hz)</th>\n",
              "      <th>Simple Note names (English)</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0</td>\n",
              "      <td>128</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>G#9/Ab9</td>\n",
              "      <td>gis’’’’’’/ges’’’’’’</td>\n",
              "      <td>13289.75</td>\n",
              "      <td>G#9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>127</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>G9</td>\n",
              "      <td>g’’’’’’</td>\n",
              "      <td>12543.85</td>\n",
              "      <td>G9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2</td>\n",
              "      <td>126</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>F#9/Gb9</td>\n",
              "      <td>fis’’’’’’/ges’’’’’’</td>\n",
              "      <td>11839.82</td>\n",
              "      <td>F#9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>3</td>\n",
              "      <td>125</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>F9</td>\n",
              "      <td>f’’’’’’</td>\n",
              "      <td>11175.30</td>\n",
              "      <td>F9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>4</td>\n",
              "      <td>124</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>E9</td>\n",
              "      <td>e’’’’’’</td>\n",
              "      <td>10548.08</td>\n",
              "      <td>E9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>5</td>\n",
              "      <td>123</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>D#9/Eb9</td>\n",
              "      <td>dis’’’’’’/es’’’’’’</td>\n",
              "      <td>9956.06</td>\n",
              "      <td>D#9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>6</td>\n",
              "      <td>122</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>D9</td>\n",
              "      <td>d’’’’’’</td>\n",
              "      <td>9397.27</td>\n",
              "      <td>D9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>7</td>\n",
              "      <td>121</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>C#9/Db9</td>\n",
              "      <td>cis’’’’’’/des’’’’’’</td>\n",
              "      <td>8869.84</td>\n",
              "      <td>C#9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>8</td>\n",
              "      <td>120</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>C9</td>\n",
              "      <td>c’’’’’’</td>\n",
              "      <td>8372.02</td>\n",
              "      <td>C9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>9</td>\n",
              "      <td>119</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>B8</td>\n",
              "      <td>h’’’’’</td>\n",
              "      <td>7902.13</td>\n",
              "      <td>B8</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   Unnamed: 0  MIDI note number Key number (Organ) Key number (Piano)  \\\n",
              "0           0               128                                         \n",
              "1           1               127                                         \n",
              "2           2               126                                         \n",
              "3           3               125                                         \n",
              "4           4               124                                         \n",
              "5           5               123                                         \n",
              "6           6               122                                         \n",
              "7           7               121                                         \n",
              "8           8               120                                         \n",
              "9           9               119                                         \n",
              "\n",
              "  Note names (English)  Note names (German)  \\\n",
              "0              G#9/Ab9  gis’’’’’’/ges’’’’’’   \n",
              "1                   G9              g’’’’’’   \n",
              "2              F#9/Gb9  fis’’’’’’/ges’’’’’’   \n",
              "3                   F9              f’’’’’’   \n",
              "4                   E9              e’’’’’’   \n",
              "5              D#9/Eb9   dis’’’’’’/es’’’’’’   \n",
              "6                   D9              d’’’’’’   \n",
              "7              C#9/Db9  cis’’’’’’/des’’’’’’   \n",
              "8                   C9              c’’’’’’   \n",
              "9                   B8               h’’’’’   \n",
              "\n",
              "   Frequency (Equal tuning at 440 Hz) Simple Note names (English)  \n",
              "0                            13289.75                         G#9  \n",
              "1                            12543.85                          G9  \n",
              "2                            11839.82                         F#9  \n",
              "3                            11175.30                          F9  \n",
              "4                            10548.08                          E9  \n",
              "5                             9956.06                         D#9  \n",
              "6                             9397.27                          D9  \n",
              "7                             8869.84                         C#9  \n",
              "8                             8372.02                          C9  \n",
              "9                             7902.13                          B8  "
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 81
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GWuc0OhqCi_i",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 359
        },
        "outputId": "e73f7c2a-5422-42be-cc9f-a4fc78a6c9ad"
      },
      "source": [
        "# get proper note names for the MIDI note numbers\n",
        "note_name_df = pd.merge(notes_df, midi_note_df[['MIDI note number', 'Simple Note names (English)']], how='left', left_on='pitches', right_on='MIDI note number')\n",
        "note_name_df.drop(columns=['MIDI note number'], inplace=True)\n",
        "note_name_df.head(10)"
      ],
      "execution_count": 88,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>song names</th>\n",
              "      <th>pitches</th>\n",
              "      <th>lengths</th>\n",
              "      <th>Simple Note names (English)</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>bwv284.mid</td>\n",
              "      <td>72</td>\n",
              "      <td>1024</td>\n",
              "      <td>C5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>bwv284.mid</td>\n",
              "      <td>67</td>\n",
              "      <td>1024</td>\n",
              "      <td>G4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>bwv284.mid</td>\n",
              "      <td>69</td>\n",
              "      <td>1024</td>\n",
              "      <td>A4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>bwv284.mid</td>\n",
              "      <td>71</td>\n",
              "      <td>1024</td>\n",
              "      <td>B4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>bwv284.mid</td>\n",
              "      <td>72</td>\n",
              "      <td>2048</td>\n",
              "      <td>C5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>bwv284.mid</td>\n",
              "      <td>72</td>\n",
              "      <td>1024</td>\n",
              "      <td>C5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>bwv284.mid</td>\n",
              "      <td>67</td>\n",
              "      <td>1024</td>\n",
              "      <td>G4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>bwv284.mid</td>\n",
              "      <td>72</td>\n",
              "      <td>1024</td>\n",
              "      <td>C5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>bwv284.mid</td>\n",
              "      <td>70</td>\n",
              "      <td>1024</td>\n",
              "      <td>A#4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>bwv284.mid</td>\n",
              "      <td>69</td>\n",
              "      <td>2048</td>\n",
              "      <td>A4</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   song names  pitches  lengths Simple Note names (English)\n",
              "0  bwv284.mid       72     1024                          C5\n",
              "1  bwv284.mid       67     1024                          G4\n",
              "2  bwv284.mid       69     1024                          A4\n",
              "3  bwv284.mid       71     1024                          B4\n",
              "4  bwv284.mid       72     2048                          C5\n",
              "5  bwv284.mid       72     1024                          C5\n",
              "6  bwv284.mid       67     1024                          G4\n",
              "7  bwv284.mid       72     1024                          C5\n",
              "8  bwv284.mid       70     1024                         A#4\n",
              "9  bwv284.mid       69     2048                          A4"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 88
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "q8DlvVsBFJmC",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    }
  ]
}