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rhiskey/spotifymusicclustering_seminarus_cyberkoala.ipynb

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spotifymusicclustering_seminarus_cyberkoala.ipynb
{
"nbformat": 4,
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"metadata": {
"colab": {
"name": "SpotifyMusicClustering_seminarus_CyberKoala.ipynb",
"provenance": [],
"authorship_tag": "ABX9TyOyp97PCa/Ud5BArbSiPQN3",
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"name": "python3",
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"cell_type": "markdown",
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"colab_type": "text"
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"<a href=\"https://colab.research.google.com/gist/rhiskey/05a813f0efe63c48ae5ca41dcda55b6c/spotifymusicclustering_seminarus_cyberkoala.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "markdown",
"source": [
"\n",
"https://www.kaggle.com/datasets/iamsumat/spotify-top-2000s-mega-dataset/download\n"
],
"metadata": {
"id": "r668cTfT2unG"
}
},
{
"cell_type": "markdown",
"source": [
"# Кластеризация музыкальных жанров в Spotify"
],
"metadata": {
"id": "iy-kqSoh4SEt"
}
},
{
"cell_type": "markdown",
"source": [
"## Загрузка выборки"
],
"metadata": {
"id": "itkbevHq4N8H"
}
},
{
"cell_type": "code",
"source": [
"from google.colab import files\n",
"files.upload()"
],
"metadata": {
"id": "dykG04Ov3YxR"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"!mkdir ~/.kaggle\n",
"!cp kaggle.json ~/.kaggle/\n",
"!chmod 600 ~/.kaggle/kaggle.json"
],
"metadata": {
"id": "qLowpivG3hU6",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "ac7c8118-3f8a-431f-83f5-3f2d67e69c27"
},
"execution_count": 46,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"mkdir: cannot create directory ‘/root/.kaggle’: File exists\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"!kaggle datasets download -d iamsumat/spotify-top-2000s-mega-dataset"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "VRh2TFx83XCE",
"outputId": "da959b21-d6a1-4445-9fab-2524a30b8cfb"
},
"execution_count": 47,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"spotify-top-2000s-mega-dataset.zip: Skipping, found more recently modified local copy (use --force to force download)\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"!unzip -qq spotify-top-2000s-mega-dataset.zip"
],
"metadata": {
"id": "GDVIlBFz3kKr",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "deb270ee-d643-4977-e8ba-6b7ec8b21358"
},
"execution_count": 48,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"replace Spotify-2000.csv? [y]es, [n]o, [A]ll, [N]one, [r]ename: "
]
}
]
},
{
"cell_type": "markdown",
"source": [
"## Подготовка выборки"
],
"metadata": {
"id": "t1kyx49L27DM"
}
},
{
"cell_type": "code",
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"from sklearn import cluster\n",
"\n",
"data = pd.read_csv(\"Spotify-2000.csv\")\n",
"data.head()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 302
},
"id": "LDyoxJol26EJ",
"outputId": "2f09d3b8-c02a-4a20-de4d-36dcee7f777b"
},
"execution_count": 49,
"outputs": [
{
"output_type": "execute_result",
"data": {
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" Index Title Artist Top Genre \\\n",
"0 1 Sunrise Norah Jones adult standards \n",
"1 2 Black Night Deep Purple album rock \n",
"2 3 Clint Eastwood Gorillaz alternative hip hop \n",
"3 4 The Pretender Foo Fighters alternative metal \n",
"4 5 Waitin' On A Sunny Day Bruce Springsteen classic rock \n",
"\n",
" Year Beats Per Minute (BPM) Energy Danceability Loudness (dB) \\\n",
"0 2004 157 30 53 -14 \n",
"1 2000 135 79 50 -11 \n",
"2 2001 168 69 66 -9 \n",
"3 2007 173 96 43 -4 \n",
"4 2002 106 82 58 -5 \n",
"\n",
" Liveness Valence Length (Duration) Acousticness Speechiness Popularity \n",
"0 11 68 201 94 3 71 \n",
"1 17 81 207 17 7 39 \n",
"2 7 52 341 2 17 69 \n",
"3 3 37 269 0 4 76 \n",
"4 10 87 256 1 3 59 "
],
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" <td>The Pretender</td>\n",
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" <td>Bruce Springsteen</td>\n",
" <td>classic rock</td>\n",
" <td>2002</td>\n",
" <td>106</td>\n",
" <td>82</td>\n",
" <td>58</td>\n",
" <td>-5</td>\n",
" <td>10</td>\n",
" <td>87</td>\n",
" <td>256</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>59</td>\n",
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"cell_type": "code",
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"metadata": {
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"outputs": [],
"source": [
"data = data.drop(\"Index\", axis=1)"
]
},
{
"cell_type": "code",
"source": [
"data.corr()"
],
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"base_uri": "https://localhost:8080/",
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{
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" Year Beats Per Minute (BPM) Energy \\\n",
"Year 1.000000 0.012570 0.147235 \n",
"Beats Per Minute (BPM) 0.012570 1.000000 0.156644 \n",
"Energy 0.147235 0.156644 1.000000 \n",
"Danceability 0.077493 -0.140602 0.139616 \n",
"Loudness (dB) 0.343764 0.092927 0.735711 \n",
"Liveness 0.019017 0.016256 0.174118 \n",
"Valence -0.166163 0.059653 0.405175 \n",
"Acousticness -0.132946 -0.122472 -0.665156 \n",
"Speechiness 0.054097 0.085598 0.205865 \n",
"Popularity -0.158962 -0.003181 0.103393 \n",
"\n",
" Danceability Loudness (dB) Liveness Valence \\\n",
"Year 0.077493 0.343764 0.019017 -0.166163 \n",
"Beats Per Minute (BPM) -0.140602 0.092927 0.016256 0.059653 \n",
"Energy 0.139616 0.735711 0.174118 0.405175 \n",
"Danceability 1.000000 0.044235 -0.103063 0.514564 \n",
"Loudness (dB) 0.044235 1.000000 0.098257 0.147041 \n",
"Liveness -0.103063 0.098257 1.000000 0.050667 \n",
"Valence 0.514564 0.147041 0.050667 1.000000 \n",
"Acousticness -0.135769 -0.451635 -0.046206 -0.239729 \n",
"Speechiness 0.125229 0.125090 0.092594 0.107102 \n",
"Popularity 0.144344 0.165527 -0.111978 0.095911 \n",
"\n",
" Acousticness Speechiness Popularity \n",
"Year -0.132946 0.054097 -0.158962 \n",
"Beats Per Minute (BPM) -0.122472 0.085598 -0.003181 \n",
"Energy -0.665156 0.205865 0.103393 \n",
"Danceability -0.135769 0.125229 0.144344 \n",
"Loudness (dB) -0.451635 0.125090 0.165527 \n",
"Liveness -0.046206 0.092594 -0.111978 \n",
"Valence -0.239729 0.107102 0.095911 \n",
"Acousticness 1.000000 -0.098256 -0.087604 \n",
"Speechiness -0.098256 1.000000 0.111689 \n",
"Popularity -0.087604 0.111689 1.000000 "
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" <th>Loudness (dB)</th>\n",
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" <td>0.019017</td>\n",
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" <td>0.059653</td>\n",
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" <td>-0.132946</td>\n",
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" <td>0.054097</td>\n",
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" <td>0.107102</td>\n",
" <td>-0.098256</td>\n",
" <td>1.000000</td>\n",
" <td>0.111689</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Popularity</th>\n",
" <td>-0.158962</td>\n",
" <td>-0.003181</td>\n",
" <td>0.103393</td>\n",
" <td>0.144344</td>\n",
" <td>0.165527</td>\n",
" <td>-0.111978</td>\n",
" <td>0.095911</td>\n",
" <td>-0.087604</td>\n",
" <td>0.111689</td>\n",
" <td>1.000000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>\n",
" <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-a4d85af2-a254-4294-82a8-ddacda72049d')\"\n",
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" \n",
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" fill: #174EA6;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-convert {\n",
" background-color: #3B4455;\n",
" fill: #D2E3FC;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-convert:hover {\n",
" background-color: #434B5C;\n",
" box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
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" }\n",
" </style>\n",
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" document.querySelector('#df-a4d85af2-a254-4294-82a8-ddacda72049d button.colab-df-convert');\n",
" buttonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
"\n",
" async function convertToInteractive(key) {\n",
" const element = document.querySelector('#df-a4d85af2-a254-4294-82a8-ddacda72049d');\n",
" const dataTable =\n",
" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
" [key], {});\n",
" if (!dataTable) return;\n",
"\n",
" const docLinkHtml = 'Like what you see? Visit the ' +\n",
" '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
" + ' to learn more about interactive tables.';\n",
" element.innerHTML = '';\n",
" dataTable['output_type'] = 'display_data';\n",
" await google.colab.output.renderOutput(dataTable, element);\n",
" const docLink = document.createElement('div');\n",
" docLink.innerHTML = docLinkHtml;\n",
" element.appendChild(docLink);\n",
" }\n",
" </script>\n",
" </div>\n",
" </div>\n",
" "
]
},
"metadata": {},
"execution_count": 51
}
]
},
{
"cell_type": "markdown",
"source": [
"# Кластерный анализ для звуковых данных\n",
"## K-means кластеризация\n"
],
"metadata": {
"id": "RvEq_B6N4CYQ"
}
},
{
"cell_type": "code",
"source": [
"data2 = data[[\"Beats Per Minute (BPM)\", \"Loudness (dB)\", \"Liveness\",\n",
" \"Valence\", \"Acousticness\", \"Speechiness\"]]"
],
"metadata": {
"id": "IXY2TEIO5A_B"
},
"execution_count": 52,
"outputs": []
},
{
"cell_type": "code",
"source": [
"from sklearn.preprocessing import MinMaxScaler\n",
"\n",
"for element in data.columns:\n",
" MinMaxScaler(element)"
],
"metadata": {
"id": "uyfXth-64-Aa"
},
"execution_count": 56,
"outputs": []
},
{
"cell_type": "code",
"source": [
"from sklearn.cluster import KMeans\n",
"\n",
"kmeans = KMeans(n_clusters=10)\n",
"clusters = kmeans.fit_predict(data2)"
],
"metadata": {
"id": "E__ZEqNx4hjl"
},
"execution_count": 57,
"outputs": []
},
{
"cell_type": "code",
"source": [
"data[\"Genre Segments\"] = clusters\n",
"\n",
"MinMaxScaler(data[\"Genre Segments\"])\n",
"\n",
"data[\"Genre Segments\"] = data[\"Genre Segments\"].map(\n",
" {1: \"Кластер 1\",\n",
" 2: \"Кластер 2\",\n",
" 3: \"Кластер 3\",\n",
" 4: \"Кластер 4\",\n",
" 5: \"Кластер 5\",\n",
" 6: \"Кластер 6\", \n",
" 7: \"Кластер 7\",\n",
" 8: \"Кластер 8\",\n",
" 9: \"Кластер 9\",\n",
" 10: \"Кластер 10\",\n",
" }\n",
")"
],
"metadata": {
"id": "0ytdkPKe5PdF"
},
"execution_count": 61,
"outputs": []
},
{
"cell_type": "code",
"source": [
"data.head()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 320
},
"id": "C7JDwoQs5tiD",
"outputId": "1c299986-53b6-4329-bcde-707dd6ee7a46"
},
"execution_count": 62,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" Title Artist Top Genre Year \\\n",
"0 Sunrise Norah Jones adult standards 2004 \n",
"1 Black Night Deep Purple album rock 2000 \n",
"2 Clint Eastwood Gorillaz alternative hip hop 2001 \n",
"3 The Pretender Foo Fighters alternative metal 2007 \n",
"4 Waitin' On A Sunny Day Bruce Springsteen classic rock 2002 \n",
"\n",
" Beats Per Minute (BPM) Energy Danceability Loudness (dB) Liveness \\\n",
"0 157 30 53 -14 11 \n",
"1 135 79 50 -11 17 \n",
"2 168 69 66 -9 7 \n",
"3 173 96 43 -4 3 \n",
"4 106 82 58 -5 10 \n",
"\n",
" Valence Length (Duration) Acousticness Speechiness Popularity \\\n",
"0 68 201 94 3 71 \n",
"1 81 207 17 7 39 \n",
"2 52 341 2 17 69 \n",
"3 37 269 0 4 76 \n",
"4 87 256 1 3 59 \n",
"\n",
" Genre Segments \n",
"0 Кластер 2 \n",
"1 Кластер 7 \n",
"2 NaN \n",
"3 NaN \n",
"4 Кластер 6 "
],
"text/html": [
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" <th>Beats Per Minute (BPM)</th>\n",
" <th>Energy</th>\n",
" <th>Danceability</th>\n",
" <th>Loudness (dB)</th>\n",
" <th>Liveness</th>\n",
" <th>Valence</th>\n",
" <th>Length (Duration)</th>\n",
" <th>Acousticness</th>\n",
" <th>Speechiness</th>\n",
" <th>Popularity</th>\n",
" <th>Genre Segments</th>\n",
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" <td>173</td>\n",
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" <td>classic rock</td>\n",
" <td>2002</td>\n",
" <td>106</td>\n",
" <td>82</td>\n",
" <td>58</td>\n",
" <td>-5</td>\n",
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" <td>87</td>\n",
" <td>256</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>59</td>\n",
" <td>Кластер 6</td>\n",
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" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
" [key], {});\n",
" if (!dataTable) return;\n",
"\n",
" const docLinkHtml = 'Like what you see? Visit the ' +\n",
" '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
" + ' to learn more about interactive tables.';\n",
" element.innerHTML = '';\n",
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" element.appendChild(docLink);\n",
" }\n",
" </script>\n",
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" </div>\n",
" "
]
},
"metadata": {},
"execution_count": 62
}
]
},
{
"cell_type": "code",
"source": [
"import plotly.graph_objects as go\n",
"\n",
"PLOT = go.Figure()\n",
"\n",
"for element in list(data[\"Genre Segments\"].unique()):\n",
" PLOT.add_trace(go.Scatter3d(\n",
" x = data[data[\"Genre Segments\"] == element]['Beats Per Minute (BPM)'],\n",
" y = data[data[\"Genre Segments\"] == element]['Energy'],\n",
" z = data[data[\"Genre Segments\"] == element]['Danceability'],\n",
" mode = 'markers',\n",
" marker_size = 6,\n",
" marker_line_width = 1,\n",
" name = str(element)\n",
" ))\n",
"\n",
"PLOT.update_traces(\n",
" hovertemplate = 'Beats Per Minute (BPM): %{x} <br>Energy: %{y} <br>Danceability: %{z}'\n",
")\n",
"\n",
"PLOT.update_layout(\n",
" width = 800,\n",
" height = 800,\n",
" autosize = True,\n",
" showlegend = True,\n",
" scene = dict(\n",
" xaxis = dict(\n",
" title = 'Beats Per Minute (BPM)',\n",
" titlefont_color = 'black'\n",
" ),\n",
" yaxis = dict(\n",
" title = 'Energy',\n",
" titlefont_color = 'black'\n",
" ),\n",
" zaxis = dict(\n",
" title = 'Danceability',\n",
" titlefont_color = 'black')),\n",
" font = dict(family = \"Arial\", color = 'black', size = 12)\n",
" )"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 817
},
"id": "IurKjg1X57jd",
"outputId": "fec56a98-2b33-4beb-ad34-5f6de46ec38c"
},
"execution_count": 68,
"outputs": [
{
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