lastfm_eda.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-01-12T05:36:04.403210Z",
     "start_time": "2022-01-12T05:35:56.524724Z"
    }
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sb\n",
    "import tensorflow as tf\n",
    "from google_drive_downloader import GoogleDriveDownloader as gdd\n",
    "\n",
    "np.set_printoptions(3)\n",
    "plt.style.use(\"dark_background\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-01-12T05:36:08.466862Z",
     "start_time": "2022-01-12T05:36:04.423260Z"
    }
   },
   "outputs": [],
   "source": [
    "artists = pd.read_csv(\"./Datasets/Last.fm/artists.csv\")\n",
    "users_df = pd.read_csv(\"./Datasets/Last.fm/users.csv\")\n",
    "gdd.download_file_from_google_drive(file_id=\"1BpEbW6iSUlIp7zr3s_KDaeIRMUjgpSlV\", dest_path=\"D:/plays.csv\")\n",
    "plays = pd.read_csv(\"D:/plays.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-01-11T12:35:29.525075Z",
     "start_time": "2022-01-11T12:35:28.895077Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 사용자별 1곡 이상 들은 아티스트의 수\n",
    "user_n_artists = plays.groupby([\"user_id\"]).size()\n",
    "\n",
    "user_n_artists.plot.hist(bins=30);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-01-11T12:35:32.663215Z",
     "start_time": "2022-01-11T12:35:29.576073Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 아티스트별 자신의 음악을 들은 사용자의 수\n",
    "artist_n_users = plays.groupby([\"artist_id\"]).size()\n",
    "\n",
    "artist_n_users.plot.hist(bins=2000, xlim=[0, 1000]);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-01-11T12:35:34.808372Z",
     "start_time": "2022-01-11T12:35:32.711210Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 사용자별 아티스트에 대한 평균 `plays`\n",
    "user_avg_plays = plays.groupby([\"user_id\"]).mean()[\"plays\"]\n",
    "\n",
    "user_avg_plays.plot.hist(bins=1000, xlim=[0, 5000]);"
   ]
  }
 ],
 "metadata": {
  "hide_input": false,
  "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": "3.8.5"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": false,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  },
  "varInspector": {
   "cols": {
    "lenName": 16,
    "lenType": 16,
    "lenVar": 40
   },
   "kernels_config": {
    "python": {
     "delete_cmd_postfix": "",
     "delete_cmd_prefix": "del ",
     "library": "var_list.py",
     "varRefreshCmd": "print(var_dic_list())"
    },
    "r": {
     "delete_cmd_postfix": ") ",
     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
    }
   },
   "types_to_exclude": [
    "module",
    "function",
    "builtin_function_or_method",
    "instance",
    "_Feature"
   ],
   "window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}