BlockChannel Downloads.ipynb

{
 "cells": [
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   "cell_type": "code",
   "execution_count": 115,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import requests\n",
    "import os\n",
    "import re\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "table.dataframe {\n",
       "    border-collapse: collapse;\n",
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       "table.dataframe tr {\n",
       "    border: none;\n",
       "}\n",
       "table.dataframe td, table.dataframe th {\n",
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       "table.dataframe th:not(:empty) {\n",
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       "table.dataframe td {\n",
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       "h3 {\n",
       "    color: white;\n",
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       "    padding: 0.5em;\n",
       "}\n",
       "</style>"
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      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.core.display import HTML\n",
    "css = open(\"./styles/style-table.css\").read() + open('styles/style-notebook.css').read()\n",
    "HTML('<style>{}</style>'.format(css))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Get Current Soundcloud and LibSyn Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Pull current from Soundcloud API"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [],
   "source": [
    "client_id = 'DjQCXgNUkh7MZaqgtwPYHqeyOwdKFdPd'\n",
    "\n",
    "sc_tracks = requests.get(url='http://api.soundcloud.com/resolve?url=http://soundcloud.com/blockchannelshow/tracks&client_id=' + client_id)\n",
    "sc_tracks = sc_tracks.json()\n",
    "\n",
    "stats = []\n",
    "for track in sc_tracks:\n",
    "    url2 = \"https://api-v2.soundcloud.com/tracks/\" + str(track['id']) + \"?client_id=\" + client_id\n",
    "    res = requests.get(url=url2).json()\n",
    "    stats.append([res['title'], res['playback_count']])\n",
    "sc_stats = pd.DataFrame(stats, columns=['title', 'playback_count'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>playback_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Episode 15: A Hedge on Ethereum, with Numerai</td>\n",
       "      <td>585</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Episode 14: Ethereum Foundation Researcher, Ab...</td>\n",
       "      <td>782</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Episode 13: Decentralized Web Browsing, with B...</td>\n",
       "      <td>204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Episode 12: In Ethereum, WeTrust</td>\n",
       "      <td>390</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Episode 11: Bridging Ethereum and Media with J...</td>\n",
       "      <td>190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Episode 10: A Bitcoin Venture Outside the Grea...</td>\n",
       "      <td>201</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Episode 9: Getting Gamers on Ethereum with Fir...</td>\n",
       "      <td>295</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Episode 8: Hit or Stay, a Bet on 21.co</td>\n",
       "      <td>1522</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Episode 7: Meet Your Maker, Ethereum</td>\n",
       "      <td>556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Episode 6: Gnosis, and the Power of the Crowd</td>\n",
       "      <td>549</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Episode 5: Taking One for the Team</td>\n",
       "      <td>717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Episode 4: Predicting the Future, with Augur</td>\n",
       "      <td>788</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Episode 3: Zero Knowledge, the Future of Privacy</td>\n",
       "      <td>970</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Episode 2: Making Bitcoin Great, with Javascri...</td>\n",
       "      <td>1862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Episode 1: Empowering Creativity with Technology</td>\n",
       "      <td>754</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                title  playback_count\n",
       "0       Episode 15: A Hedge on Ethereum, with Numerai             585\n",
       "1   Episode 14: Ethereum Foundation Researcher, Ab...             782\n",
       "2   Episode 13: Decentralized Web Browsing, with B...             204\n",
       "3                    Episode 12: In Ethereum, WeTrust             390\n",
       "4   Episode 11: Bridging Ethereum and Media with J...             190\n",
       "5   Episode 10: A Bitcoin Venture Outside the Grea...             201\n",
       "6   Episode 9: Getting Gamers on Ethereum with Fir...             295\n",
       "7              Episode 8: Hit or Stay, a Bet on 21.co            1522\n",
       "8                Episode 7: Meet Your Maker, Ethereum             556\n",
       "9       Episode 6: Gnosis, and the Power of the Crowd             549\n",
       "10                 Episode 5: Taking One for the Team             717\n",
       "11       Episode 4: Predicting the Future, with Augur             788\n",
       "12   Episode 3: Zero Knowledge, the Future of Privacy             970\n",
       "13  Episode 2: Making Bitcoin Great, with Javascri...            1862\n",
       "14   Episode 1: Empowering Creativity with Technology             754"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sc_stats"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Get historic LibSyn data from website"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [],
   "source": [
    "!mv /Users/coreypetty/Downloads/item_daily* /Users/coreypetty/Dropbox/Projects/PycharmProjects/TBP_metrics/raw_data/BlockChannel/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [],
   "source": [
    "bc_episode_nums = []\n",
    "bc_files = []\n",
    "for dirpath, dirname, filenames in os.walk(\"/Users/coreypetty/Dropbox/Projects/PycharmProjects/TBP_metrics/raw_data/BlockChannel/\"):\n",
    "    if \"BlockChannel\" in dirpath:\n",
    "        for filename in filenames:\n",
    "            bc_files.append(os.path.join(dirpath, filename))\n",
    "for filename in bc_files[1:]:\n",
    "    number = re.findall(r'\\d+', filename)[0] if len(re.findall(r'\\d+', filename)[0]) == 2 else '0' + re.findall(r'\\d+', filename)[0]\n",
    "    bc_episode_nums.append(number)\n",
    "\n",
    "dataframes = []\n",
    "for num, file in enumerate(bc_files[1:]):\n",
    "    dataframes.append(pd.read_csv(file, usecols=[0,4], names=['date', bc_episode_nums[num]], skiprows=1, parse_dates=[0], index_col=0))\n",
    "historic_data = pd.concat([dataframe for dataframe in dataframes], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x108ff91d0>"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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SFUODJEmqYmiQJElVDA2SJKmKoUGSJFUxNEiSpCqGBkmSVMXQIEmSqhgaJElSFUODJEmq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\nQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x108c0afd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "historic_data.sum().plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1094bdcc0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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Zs2lra+NHP/oRx44do6qqypWxKPASEcmBaxkvn5Ua0+WPoJYadX+WDGbPnj1s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qUJVqvM3bNH1paUSNy338rMXbukvsnf81hVlRjWrpX7jx8XEZHbDx2SoVu2NP7Nr9m7VyZ1IftX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\nKiMaeCmllFJKlZH/B9QpLvGZ7LEuAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1094b6320>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f = plt.figure()\n",
    "historic_data.plot(legend=False)\n",
    "plt.legend(loc='center left', bbox_to_anchor=(1.0, 0.5))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.10.6"
  },
  "latex_envs": {
   "bibliofile": "biblio.bib",
   "cite_by": "apalike",
   "current_citInitial": 1,
   "eqLabelWithNumbers": true,
   "eqNumInitial": 0
  },
  "toc": {
   "nav_menu": {
    "height": "12px",
    "width": "252px"
   },
   "navigate_menu": true,
   "number_sections": true,
   "sideBar": true,
   "threshold": 4,
   "toc_cell": false,
   "toc_section_display": "block",
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}