Exploring-downloads (bean's conflicted copy 2019-05-09).ipynb

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  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "init_cell": true
   },
   "outputs": [],
   "source": [
    "from plotly import __version__\n",
    "from plotly.offline import download_plotlyjs, init_notebook_mode\n",
    "from plotly.offline import iplot as iplot_offline\n",
    "from plotly.offline import plot as plot_offline\n",
    "from plotly.plotly import iplot, plot\n",
    "from plotly.graph_objs import Scatter\n",
    "# from plotly.tools import FigureFactory as FF\n",
    "\n",
    "%matplotlib inline\n",
    "import matplotlib as plt\n",
    "plt.style.use('ggplot')\n",
    "import scripts.daily_data as dd\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from scipy import stats\n",
    "from datetime import datetime\n",
    "import plotly\n",
    "import plotly.plotly as py\n",
    "import plotly.graph_objs as go\n",
    "from plotly.graph_objs import graph_objs\n",
    "\n",
    "import requests"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true,
    "init_cell": true
   },
   "outputs": [],
   "source": [
    "TBP_colors = {\n",
    "    'red_orange': 'rgb(255, 64, 0)',\n",
    "    'gold': 'rgb(247,195,24)',\n",
    "    'orange': 'rgba(236,159,76,1)',\n",
    "    'orange_sc': 'rgba(236,159,76,0.8)',\n",
    "    'dark_orange': '#e8800f',\n",
    "    'gray': '#e6e6e6',\n",
    "    'grey': '#a2a2a2',\n",
    "    'light gray': '#f2f2f2',\n",
    "    'white': 'rgb(255,255,255)',\n",
    "    'teal': '#6dc3d7',\n",
    "    'black opaque': 'rgba(0,0,0,0.65)',\n",
    "    'purple': 'rgb(105,107,165)',\n",
    "    'red': 'rgb(210,20,4)',\n",
    "    'jth_blue': '#2f2e43',\n",
    "    'aqua': '#2f93aa',\n",
    "    'sky': '#cce5e5'\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mv: rename /Users/coreypetty/Downloads/stats* to ./raw_data/stats*: No such file or directory\n"
     ]
    }
   ],
   "source": [
    "!mv /Users/coreypetty/Downloads/2018* ./raw_data/\n",
    "!mv /Users/coreypetty/Downloads/stats* ./raw_data/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Move LibSyn Daily Totals downloads\n",
    "!mv /home/petty/Downloads/The\\ Bitcoin\\ Podcast\\ Network.csv \\\n",
    "./raw_data/2019-02-17_daily-totals.csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Move Spotify Daily Totals downloads\n",
    "!mv /home/petty/Downloads/The\\ Bitcoin\\ Podcast\\ Network.csv \\\n",
    "./raw_data/2019-02-17_daily-totals_spotify.csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from scripts.daily_data import update_daily_csv_new"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Files exist\n",
      "pandas DataFrames created\n",
      "DataFrame structured in new format\n",
      "Old entries updated with newest data\n",
      "Adding the following days to the database:\n",
      "            total_downloads\n",
      "date                       \n",
      "2019-01-04             2560\n",
      "2019-01-05             1431\n",
      "2019-01-06             2370\n",
      "2019-01-07             1987\n",
      "2019-01-08             1608\n",
      "2019-01-09             2846\n",
      "2019-01-10             1751\n",
      "2019-01-11              996\n",
      "2019-01-12              859\n",
      "2019-01-13             1921\n",
      "2019-01-14             1945\n",
      "2019-01-15             2432\n",
      "2019-01-16             2772\n",
      "2019-01-17             2154\n",
      "2019-01-18             2969\n",
      "2019-01-19             1777\n",
      "2019-01-20             2912\n",
      "2019-01-21             4196\n",
      "2019-01-22             2398\n",
      "2019-01-23             2271\n",
      "2019-01-24             1661\n",
      "2019-01-25             2380\n",
      "2019-01-26             1157\n",
      "2019-01-27             2270\n",
      "2019-01-28             3598\n",
      "2019-01-29             3207\n",
      "2019-01-30             2711\n",
      "2019-01-31             1996\n",
      "2019-02-01             1391\n",
      "2019-02-02             2476\n",
      "2019-02-03             2004\n",
      "2019-02-04             3518\n",
      "2019-02-05             3384\n",
      "2019-02-06             2658\n",
      "2019-02-07             2040\n",
      "2019-02-08             3342\n",
      "2019-02-09             1374\n",
      "2019-02-10             2327\n",
      "2019-02-11             1921\n",
      "2019-02-12            18238\n",
      "2019-02-13            26793\n",
      "2019-02-14             1643\n",
      "2019-02-15              702\n",
      "2019-02-16               65\n",
      "2019-02-17               83\n"
     ]
    }
   ],
   "source": [
    "# Update the totals file\n",
    "update_string = ' (updated February 17, 2019)'\n",
    "file_string = '2019-02-17.csv'\n",
    "database_file = 'raw_data/daily-totals_2019-01-03.csv'\n",
    "update_file = 'raw_data/2019-02-17_daily-totals.csv'\n",
    "dd.update_daily_csv_new(database_file, update_file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true,
    "init_cell": true,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "daily_metrics = pd.read_csv(\"raw_data/daily-totals_\" + file_string, index_col=None, parse_dates=[0])\n",
    "\n",
    "dates = daily_metrics.date\n",
    "dates = pd.to_datetime(dates)\n",
    "start = dates[0]\n",
    "periods = dates - start\n",
    "periods_days = periods / np.timedelta64(1, 'D')\n",
    "\n",
    "daily = daily_metrics.set_index('date')\n",
    "weekly = daily.resample('W').sum()\n",
    "monthly = daily.resample('M').sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Move LibSyn Episodic Downloads (start from Jan 5, 2018 always)\n",
    "!mv /home/petty/Downloads/The\\ Bitcoin\\ Podcast\\ Network.csv \\\n",
    "./raw_data/stats_TBP_episodic_2019-02-17.csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Move Spotify Episodic Downloads (start from Dec 5, 2017 always)\n",
    "!mv /home/petty/Downloads/The\\ Bitcoin\\ Podcast\\ Network.csv \\\n",
    "./raw_data/stats_TBP_episodic_2019-02-17_spotify.csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "def convert_legacy_date(date):\n",
    "    return np.datetime64(datetime.utcfromtimestamp(date.tolist()/1e9).date())\n",
    "\n",
    "def convert_legacy_title(title):\n",
    "    return title.replace(' —', ':')\n",
    "\n",
    "def convert_since_title(title):\n",
    "    return title.replace('?\"', ':')\n",
    "\n",
    "# Create Legacy Stats DataFrame\n",
    "episodes_legacy = pd.read_csv('/home/petty/Dropbox/Projects/PycharmProjects/TBP_metrics/raw_data/stats_TBP_episodic_2018-01-05_legacy.csv', \n",
    "                                index_col=None, parse_dates=['release_date'])\n",
    "episodes_legacy = episodes_legacy[['release_date', 'item_title', 'downloads__total']]\n",
    "episodes_legacy.columns = ['release_date', 'title', 'downloads']\n",
    "episodes_legacy['release_date'] = [convert_legacy_date(date) for date in episodes_legacy['release_date'].values]\n",
    "\n",
    "# Create New Stats DataFrame\n",
    "episodes_since = pd.read_csv('/home/petty/Dropbox/Projects/PycharmProjects/TBP_metrics/raw_data/stats_TBP_episodic_' + file_string,\n",
    "                                      index_col=None, parse_dates=['Released'])\n",
    "episodes_since = episodes_since[['Released', 'Title', 'Downloads']]\n",
    "episodes_since.columns = ['release_date', 'title', 'downloads']\n",
    "episodes_since['release_date'] = [convert_legacy_date(date) for date in episodes_since['release_date'].values]\n",
    "\n",
    "# Concatenate appropriately\n",
    "episodes_legacy['title'] = [convert_legacy_title(title) for title in episodes_legacy['title']]\n",
    "episodes_since['title'] = [convert_since_title(title) for title in episodes_since['title']]\n",
    "\n",
    "# episodes_legacy = episodes_legacy.set_index(['release_date', 'title'])\n",
    "# episodes_since = episodes_since.set_index(['release_date', 'title'])\n",
    "episodes = pd.merge(episodes_legacy, episodes_since, how='outer', on=['title', 'release_date']).sort_values(by='release_date')\n",
    "episodes['downloads_x'] = episodes.downloads_x.fillna(0)\n",
    "episodes['downloads_y'] = episodes.downloads_y.fillna(0)\n",
    "episodes['downloads'] = episodes.downloads_x + episodes.downloads_y\n",
    "# episodes = pd.concat([episodes_legacy,episodes_since]).reset_index().sort_values(by='release_date')\n",
    "\n",
    "# # Get Days of Week DF\n",
    "release_dates = list(episodes.release_date)\n",
    "\n",
    "days_of_week = {0: 'Monday', 1: 'Tuesday', 2: 'Wednesday', 3: 'Thursday', 4: 'Friday', 5: 'Saturday', 6: 'Sunday'}\n",
    "df_wkdays = daily\n",
    "df_wkdays['weekday'] = df_wkdays.reset_index().date.dt.dayofweek.values\n",
    "df_wkdays = df_wkdays.reset_index().pivot(index='date', columns='weekday', values='total_downloads')\n",
    "df_wkdays.columns = days_of_week.values()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "episodes = episodes[['release_date', 'title', 'downloads']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.6/dist-packages/IPython/core/display.py:689: UserWarning:\n",
      "\n",
      "Consider using IPython.display.IFrame instead\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~CoreyPetty/28.embed\" height=\"525px\" width=\"100%\"></iframe>"
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      "text/plain": [
       "<plotly.tools.PlotlyDisplay object>"
      ]
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     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "# Include day of week and most recently released episode\n",
    "def get_unixtime(time):    \n",
    "    return (time.astype(np.int64)/1e6).astype(np.int64)\n",
    "\n",
    "trace = go.Scatter(\n",
    "    name = 'Daily',\n",
    "    x=daily_metrics.date, \n",
    "    y=daily_metrics.total_downloads,\n",
    "    mode='markers',\n",
    "    marker = {\n",
    "        'color': TBP_colors['dark_orange'],\n",
    "    }\n",
    ")\n",
    "\n",
    "trace2 = go.Scatter(\n",
    "    name = 'Cumulative',\n",
    "    x = daily_metrics.date,\n",
    "    y = daily_metrics.total_downloads.cumsum(),\n",
    "    yaxis = 'y2',\n",
    "    marker = {\n",
    "        'color': 'rgba(46, 46, 46,0.5)',\n",
    "    },\n",
    "    fill = 'tozeroy',\n",
    ")\n",
    "\n",
    "trace3 = go.Scatter(\n",
    "    name='30-day Ave.',\n",
    "    x = daily_metrics.date,\n",
    "    y = daily_metrics.set_index('date').total_downloads.rolling(30).mean(),\n",
    "    marker = {\n",
    "        'color': TBP_colors['orange'],\n",
    "    },\n",
    "    line = {\n",
    "        'width': 5,\n",
    "    }\n",
    ")\n",
    "\n",
    "# Get ymax from total_downloads\n",
    "ymax = daily_metrics.total_downloads.max() + 100\n",
    "\n",
    "layout = {\n",
    "    'title': \"Daily downloads\" + update_string,\n",
    "    'xaxis': {\n",
    "        'autorange': False,\n",
    "        'range': [get_unixtime(daily_metrics.date.values[0]),\n",
    "                  get_unixtime(daily_metrics.date.values[-1])],\n",
    "        'gridcolor': '#f2f2f2',\n",
    "        'zeroline': False,\n",
    "        'type': 'date',\n",
    "    },\n",
    "    'yaxis': {\n",
    "        'title': 'Daily downloads',\n",
    "        'gridcolor': '#f2f2f2',\n",
    "        'zeroline': False,\n",
    "        'overlaying': 'y2',\n",
    "#         'domain': [0, daily_metrics.total_downloads.max()]\n",
    "    },\n",
    "    'yaxis2': {\n",
    "        'title': 'Cumulative downloads',\n",
    "        'gridcolor': '#f2f2f2',\n",
    "        'zeroline': False,\n",
    "        'side': 'right',\n",
    "        'showgrid': False,\n",
    "    },\n",
    "    'paper_bgcolor': 'rgba(242,242,242,0)',\n",
    "    'plot_bgcolor': '#d7d8d8',\n",
    "    'font': dict(family='Helvetica, sans-serif', size=16, color='#2e2e2e'),\n",
    "    'showlegend': False,\n",
    "}\n",
    "\n",
    "data = [trace, trace2, trace3]\n",
    "fig = {\n",
    "    'data': data,\n",
    "    'layout': layout,\n",
    "}\n",
    "# iplot_offline(fig) # offline\n",
    "py.iplot(fig, filename='TBP_plots/daily_total-downloads') # update online"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": false
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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Include day of week and most recently released episode\n",
    "def get_unixtime(time):    \n",
    "    return (time.astype(np.int64)/1e6).astype(np.int64)\n",
    "\n",
    "trace = go.Scatter(\n",
    "    name = 'Daily',\n",
    "    x=daily_metrics.date, \n",
    "    y=daily_metrics.total_downloads,\n",
    "    mode='markers',\n",
    "    marker = {\n",
    "        'color': TBP_colors['dark_orange'],\n",
    "    }\n",
    ")\n",
    "\n",
    "trace2 = go.Scatter(\n",
    "    name = 'Cumulative',\n",
    "    x = daily_metrics.date,\n",
    "    y = daily_metrics.total_downloads.cumsum(),\n",
    "    yaxis = 'y2',\n",
    "    marker = {\n",
    "        'color': 'rgba(46, 46, 46,0.5)',\n",
    "    },\n",
    "    fill = 'tozeroy',\n",
    ")\n",
    "\n",
    "trace3 = go.Scatter(\n",
    "    name='30-day Ave.',\n",
    "    x = daily_metrics.date,\n",
    "    y = daily_metrics.set_index('date').total_downloads.rolling(30).mean(),\n",
    "    marker = {\n",
    "        'color': TBP_colors['orange'],\n",
    "    },\n",
    "    line = {\n",
    "        'width': 5,\n",
    "    }\n",
    ")\n",
    "\n",
    "# Get ymax from total_downloads\n",
    "ymax = daily_metrics.total_downloads.max() + 100\n",
    "\n",
    "layout = {\n",
    "    'title': \"Daily downloads\" + update_string,\n",
    "    'xaxis': {\n",
    "        'autorange': False,\n",
    "        'range': [get_unixtime(daily_metrics.date.values[0]),\n",
    "                  get_unixtime(daily_metrics.date.values[-1])],\n",
    "        'gridcolor': '#f2f2f2',\n",
    "        'zeroline': False,\n",
    "        'type': 'date',\n",
    "    },\n",
    "    'yaxis': {\n",
    "        'title': 'Daily downloads',\n",
    "        'gridcolor': '#f2f2f2',\n",
    "        'zeroline': False,\n",
    "        'overlaying': 'y2',\n",
    "#         'domain': [0, daily_metrics.total_downloads.max()]\n",
    "    },\n",
    "    'yaxis2': {\n",
    "        'title': 'Cumulative downloads',\n",
    "        'gridcolor': '#f2f2f2',\n",
    "        'zeroline': False,\n",
    "        'side': 'right',\n",
    "        'showgrid': False,\n",
    "    },\n",
    "    'paper_bgcolor': 'rgba(242,242,242,0)',\n",
    "    'plot_bgcolor': '#d7d8d8',\n",
    "    'font': dict(family='Helvetica, sans-serif', size=16, color='#2e2e2e'),\n",
    "    'showlegend': False,\n",
    "}\n",
    "\n",
    "data = [trace, trace2, trace3]\n",
    "fig = {\n",
    "    'data': data,\n",
    "    'layout': layout,\n",
    "}\n",
    "iplot_offline(fig) # offline\n",
    "#py.iplot(fig, filename='TBP_plots/daily_total-downloads') # update online"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~CoreyPetty/78.embed\" height=\"525px\" width=\"1200px\"></iframe>"
      ],
      "text/plain": [
       "<plotly.tools.PlotlyDisplay object>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bar_week = go.Bar(\n",
    "    x = weekly.index,\n",
    "    y = weekly.total_downloads,\n",
    "    marker=dict(\n",
    "        color=TBP_colors['orange'],\n",
    "        line=dict(\n",
    "            color='#e8800f',\n",
    "            width=1.5,\n",
    "        )\n",
    "    ),\n",
    "    opacity=0.8\n",
    ")\n",
    "\n",
    "layout = go.Layout(\n",
    "    title = 'Weekly Downloads' + update_string,\n",
    "    yaxis = dict(\n",
    "        title = 'Total downloads',\n",
    "        gridcolor='#f2f2f2',\n",
    "#         zerolinecolor='#969696',\n",
    "#         showline=True,\n",
    "    ),\n",
    "    xaxis = dict(\n",
    "#         zerolinecolor='#969696'\n",
    "        gridcolor='#f2f2f2',\n",
    "#         tickangle=45,\n",
    "    ),\n",
    "    paper_bgcolor='rgba(242,242,242,0)',\n",
    "    plot_bgcolor='#d7d8d8',\n",
    "    font=dict(family='Helvetica, sans-serif', size=16, color='#2e2e2e'),\n",
    "    width=1200,\n",
    ")\n",
    "fig = dict(data=[bar_week], layout=layout)\n",
    "# iplot_offline(fig)\n",
    "iplot(fig, filename='TBP_plots/downloads-weekly')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~CoreyPetty/25.embed\" height=\"525px\" width=\"1200px\"></iframe>"
      ],
      "text/plain": [
       "<plotly.tools.PlotlyDisplay object>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#  Sort and plot by month\n",
    "months={'05':\"January\", '06':'January ', '07':' January','08':'January   ',\n",
    "        15:\"February\", 16:\"February \", 17:\" February\",18:\"Februrary  \",\n",
    "        25:\"March\", 26:\"March \", 27:\" March\", \n",
    "        35:\"April\", 36: \"April \", 37: \" April\", \n",
    "        45:\"May\", 46:\"May \", 47:\" May\", \n",
    "        55:\"June\", 56: \"June \", 57: \" June\", 58: \"June  \",\n",
    "        65:\"July\", 66:\"July \", 67: \" July\",68: \"July  \", \n",
    "        75:\"August\", 76:\"August \", 77: \" August\", 78: \"August  \",\n",
    "        85:\"September\", 86:\"September \", 87:\" September\", 88:\"September  \", \n",
    "        95:\"October\", 96:\"October \", 97:\" October\", 98:\"October  \",\n",
    "        105:\"November\", 106:\"November \", 107:\" November\", 108:\"November  \",\n",
    "        115:\"December\", 116:\"December \", 117:\" December\", 118:\"December  \"}\n",
    "years={5:\"2015\", 6:\"2016\"}\n",
    "#  Relabel to month name\n",
    "ts =                  pd.DataFrame(monthly).set_index(pd.Series([55,65,75,85,95,105,115,\n",
    "                                                '05',15,25,35,45,56,66,76,86,96,106,116,\n",
    "                                                '06',16,26,36,46,57,67,77,87,97,107,117,\n",
    "                                                '07',17,27,37,47,58,68,78,88,98,108,118,\n",
    "                                                '08',18\n",
    "                                               ]).apply(lambda x: months[x]))\n",
    "#  Plot\n",
    "\n",
    "bar_month = go.Bar(\n",
    "    x = ts.index,\n",
    "    y = ts.total_downloads,\n",
    "    marker=dict(\n",
    "        color=TBP_colors['orange'],\n",
    "        line=dict(\n",
    "            color='#e8800f',\n",
    "#             width=1.5,\n",
    "        )\n",
    "    ),\n",
    "    opacity=0.8\n",
    ")\n",
    "\n",
    "layout = go.Layout(\n",
    "    title = 'Monthly Downloads' + update_string,\n",
    "    yaxis = dict(\n",
    "        title = 'Total downloads',\n",
    "        gridcolor='#f2f2f2',\n",
    "#         zerolinecolor='#969696',\n",
    "#         showline=True,\n",
    "    ),\n",
    "    xaxis = dict(\n",
    "#         zerolinecolor='#969696'\n",
    "        gridcolor='#f2f2f2',\n",
    "#         tickangle=45,\n",
    "    ),\n",
    "    paper_bgcolor='rgba(242,242,242,0)',\n",
    "    plot_bgcolor='#d7d8d8',\n",
    "    font=dict(family='Helvetica, sans-serif', size=16, color='#2e2e2e'),\n",
    "    width=1200,\n",
    ")\n",
    "fig = dict(data=[bar_month], layout=layout)\n",
    "# iplot_offline(fig)\n",
    "iplot(fig, filename='TBP_plots/downloads-monthly')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def change_bc_title(title):\n",
    "    if \"BlockChannel\" in title:\n",
    "        return title.replace('BlockChannel Episode ', \"BC\")\n",
    "    else:\n",
    "        return title\n",
    "episodes['title'] = episodes.title.apply(change_bc_title)\n",
    "# sc_stats['title'] = sc_stats.title.apply(change_bc_title)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Adding show differentiation\n",
    "def get_show(title):\n",
    "    if \"BC\" in title:\n",
    "        return 'BlockChannel'\n",
    "    elif 'On-Ramping' in title:\n",
    "        return 'On-Ramping with Dee'\n",
    "    elif 'Announcements' in title:\n",
    "        return 'TBP Announcements'\n",
    "    elif 'NABP' in title:\n",
    "        return 'Not Another Bitcoin Podcast'\n",
    "    elif 'Ether Review' in title:\n",
    "        return \"The Ether Review\"\n",
    "    elif 'Buy or Sell' in title:\n",
    "        return \"Buy or Sell, What the Hell\"\n",
    "    elif 'An Ethereum' in title:\n",
    "        return \"An Ethereum Podcast\"\n",
    "    elif 'Humanist' in title:\n",
    "        return 'Creating a Humanist Blockchain Future'\n",
    "    elif \"Hashing It Out\" in title:\n",
    "        return \"Hashing It Out\"\n",
    "    elif \"Dose of Ether\" in title:\n",
    "        return \"Does of Ether\"\n",
    "    elif \"Infinity\" in title:\n",
    "        return \"Crypto Until Infinity\"\n",
    "    elif \"Law and Blockchain\" in title:\n",
    "        return \"Law and Blockchain\"\n",
    "    elif \"Bull Pen\" in title:\n",
    "        return \"The Bull Pen Podcast\"\n",
    "    elif \"Just the Headers\" in title:\n",
    "        return \"Just the Headers\"\n",
    "    else:\n",
    "        return 'The Bitcoin Podcast'\n",
    "episodes['show'] = episodes.title.apply(get_show)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Let's add color differentiation\n",
    "def get_color(title):\n",
    "    if \"BC\" in title:\n",
    "        return 'rgb(101,174,223)'\n",
    "#     elif 'TBP' in title:\n",
    "#         return TBP_colors['orange']\n",
    "    elif 'On-Ramping' in title:\n",
    "        return 'rgb(130,170,52)'\n",
    "    elif 'Announcements' in title:\n",
    "        return TBP_colors['black opaque']\n",
    "    elif \"Ether Review\" in title:\n",
    "        return TBP_colors['orange']\n",
    "    elif \"NABP\" in title:\n",
    "        return TBP_colors['white']\n",
    "    elif \"Buy or Sell\" in title:\n",
    "        return TBP_colors['gold']\n",
    "    elif \"An Ethereum\" in title:\n",
    "        return TBP_colors['purple']\n",
    "    elif \"Humanist\" in title:\n",
    "        return TBP_colors['red']\n",
    "    elif \"Hashing\" in title:\n",
    "        return TBP_colors['teal']\n",
    "    elif \"Dose of Ether\" in title:\n",
    "        return TBP_colors['grey']\n",
    "    elif \"Infinity\" in title:\n",
    "        return TBP_colors['sky']\n",
    "    elif \"Law and Blockchain\" in title:\n",
    "        return TBP_colors['aqua']\n",
    "    elif \"Bull Pen\" in title:\n",
    "        return TBP_colors['gold']\n",
    "    elif \"Just the Headers\" in title:\n",
    "        return TBP_colors['jth_blue']\n",
    "    else:\n",
    "        return TBP_colors['orange']\n",
    "color_column = episodes.title.apply(get_color)\n",
    "episodes.loc[:,'color'] = color_column\n",
    "\n",
    "# def get_color_sc(title):\n",
    "#     if \"BC\" in title:\n",
    "#         return 'rgba(101,174,223,0.8)'\n",
    "#     elif 'TBP' in title:\n",
    "#         return TBP_colors['dark_orange']\n",
    "#     elif 'On-Ramping' in title:\n",
    "#         return 'rgba(130,170,52,0.8)'\n",
    "#     else:\n",
    "#         return TBP_colors['orange_sc']\n",
    "# sc_stats['color'] = sc_stats.title.apply(get_color_sc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "episodes = episodes[episodes.title != \"BTCPODcast.mp3\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "episodes.to_csv('./raw_data/episodes_libsyn_final.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.6/dist-packages/plotly/graph_objs/_deprecations.py:396: DeprecationWarning:\n",
      "\n",
      "plotly.graph_objs.Margin is deprecated.\n",
      "Please replace it with one of the following more specific types\n",
      "  - plotly.graph_objs.layout.Margin\n",
      "\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~CoreyPetty/87.embed\" height=\"525px\" width=\"1200px\"></iframe>"
      ],
      "text/plain": [
       "<plotly.tools.PlotlyDisplay object>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "episodes_all = go.Bar(\n",
    "    name = \"Whole Network\",\n",
    "    x = episodes.downloads,\n",
    "    y = episodes.title,\n",
    "    marker=dict(\n",
    "        color=episodes.color,\n",
    "        line=dict(\n",
    "            color='#e8800f',\n",
    "            width=0,\n",
    "        )\n",
    "    ),\n",
    "    opacity=0.85,\n",
    "    orientation = 'h'\n",
    ")\n",
    "tbp_mask = (episodes.show == \"The Bitcoin Podcast\")\n",
    "episodes_tbp = go.Bar(\n",
    "    name = \"The Bitcoin Podcast\",\n",
    "    x = episodes[tbp_mask].downloads,\n",
    "    y = episodes[tbp_mask].title,\n",
    "    marker=dict(\n",
    "        color=episodes[tbp_mask].color,\n",
    "        line=dict(\n",
    "            color='#e8800f',\n",
    "            width=0,\n",
    "        )\n",
    "    ),\n",
    "    opacity=0.85,\n",
    "    orientation = 'h',\n",
    "    visible=False,\n",
    ")\n",
    "bc_mask = (episodes.show == \"BlockChannel\")\n",
    "episodes_bc = go.Bar(\n",
    "    name=\"BlockChannel\",\n",
    "    x = episodes[bc_mask].downloads,\n",
    "    y = episodes[bc_mask].title,\n",
    "    marker=dict(\n",
    "        color=episodes[bc_mask].color,\n",
    "        line=dict(\n",
    "            color='#e8800f',\n",
    "            width=0,\n",
    "        )\n",
    "    ),\n",
    "    opacity=0.85,\n",
    "    orientation = 'h',\n",
    "    visible=False,\n",
    ")\n",
    "orwd_mask = (episodes.show == \"On-Ramping with Dee\")\n",
    "episodes_orwd = go.Bar(\n",
    "    name=\"On-Ramping with Dee\",\n",
    "    x = episodes[orwd_mask].downloads,\n",
    "    y = episodes[orwd_mask].title,\n",
    "    marker=dict(\n",
    "        color=episodes[orwd_mask].color,\n",
    "        line=dict(\n",
    "            color='#e8800f',\n",
    "            width=0,\n",
    "        )\n",
    "    ),\n",
    "    opacity=0.85,\n",
    "    orientation = 'h',\n",
    "    visible=False\n",
    ")\n",
    "awdp_mask = (episodes.show == \"TBP Announcements\")\n",
    "episodes_awdp = go.Bar(\n",
    "    name=\"TBP Announcements\",\n",
    "    x = episodes[awdp_mask].downloads,\n",
    "    y = episodes[awdp_mask].title,\n",
    "    marker=dict(\n",
    "        color=episodes[awdp_mask].color,\n",
    "        line=dict(\n",
    "            color='#e8800f',\n",
    "            width=0,\n",
    "        )\n",
    "    ),\n",
    "    opacity=0.85,\n",
    "    orientation = 'h',\n",
    "    visible=False,\n",
    ")\n",
    "\n",
    "ter_mask = (episodes.show == \"The Ether Review\")\n",
    "episodes_ter = go.Bar(\n",
    "    name=\"The Ether Review\",\n",
    "    x = episodes[ter_mask].downloads,\n",
    "    y = episodes[ter_mask].title,\n",
    "    marker=dict(\n",
    "        color=episodes[ter_mask].color,\n",
    "        line=dict(\n",
    "            color='#e8800f',\n",
    "            width=0,\n",
    "        )\n",
    "    ),\n",
    "    opacity=0.85,\n",
    "    orientation = 'h',\n",
    "    visible=False,\n",
    ")\n",
    "\n",
    "wth_mask = (episodes.show == \"Buy or Sell, What the Hell\")\n",
    "episodes_wth = go.Bar(\n",
    "    name=\"Buy or Sell, WTH\",\n",
    "    x = episodes[wth_mask].downloads,\n",
    "    y = episodes[wth_mask].title,\n",
    "    marker=dict(\n",
    "        color=episodes[wth_mask].color,\n",
    "        line=dict(\n",
    "            color='#e8800f',\n",
    "            width=0,\n",
    "        )\n",
    "    ),\n",
    "    opacity=0.85,\n",
    "    orientation = 'h',\n",
    "    visible=False,\n",
    ")\n",
    "\n",
    "layout = go.Layout(\n",
    "    barmode=\"stack\",\n",
    "    title='Downloads by Episode' + update_string,\n",
    "    hovermode='closest',\n",
    "    updatemenus=list([\n",
    "        dict(\n",
    "            x=-0.1,\n",
    "            y=1.1,\n",
    "            yanchor='top',\n",
    "            bgcolor=TBP_colors['orange_sc'],\n",
    "            buttons=list([\n",
    "                dict(\n",
    "                    args=['visible', [True, False, False, False, False, False]],\n",
    "                    label='All',\n",
    "                    method='restyle'\n",
    "                ),\n",
    "                dict(\n",
    "                    args=['visible', [False, True, False, False, False, False]],\n",
    "                    label='The Bitcoin Podcast',\n",
    "                    method='restyle'\n",
    "                ),\n",
    "                dict(\n",
    "                    args=['visible', [False, False, True, False, False, False]],\n",
    "                    label='BlockChannel',\n",
    "                    method='restyle'\n",
    "                ),\n",
    "                dict(\n",
    "                    args=['visible', [False, False, False, True, False, False]],\n",
    "                    label='On-Ramping with Dee',\n",
    "                    method='restyle'\n",
    "                ),\n",
    "                dict(\n",
    "                    args=['visible', [False, False, False, False, True, False]],\n",
    "                    label='TBP Announcements',\n",
    "                    method='restyle'\n",
    "                ),\n",
    "                dict(\n",
    "                    args=['visible', [False, False, False, False, False, True]],\n",
    "                    label='The Ether Review',\n",
    "                    method='restyle'\n",
    "                )\n",
    "            ]),\n",
    "        )\n",
    "    ]),\n",
    "    margin=go.Margin(\n",
    "        l=425,\n",
    "        r=30,\n",
    "        b=30,\n",
    "        t=50,\n",
    "        pad=4\n",
    "    ),\n",
    "    yaxis = dict(\n",
    "#         title = 'Total downloads',\n",
    "        gridcolor='#f2f2f2',\n",
    "#         zerolinecolor='#969696',\n",
    "#         showline=True,\n",
    "    ),\n",
    "    xaxis = dict(\n",
    "#         zerolinecolor='#969696'\n",
    "        gridcolor='#f2f2f2',\n",
    "#         tickangle=45,\n",
    "    ),\n",
    "    paper_bgcolor='rgba(242,242,242,0)',\n",
    "    plot_bgcolor='#d7d8d8',\n",
    "    font=dict(family='Helvetica, sans-serif', size=16, color='#2e2e2e'),\n",
    "    width=1200,\n",
    "    showlegend=False,\n",
    "#     legend=dict(\n",
    "#         x=0.8,\n",
    "#         y=1\n",
    "#     )\n",
    ")\n",
    "fig = dict(data=[episodes_all, episodes_tbp, episodes_bc, episodes_orwd, episodes_awdp, episodes_ter], layout=layout)\n",
    "# iplot_offline(fig)\n",
    "iplot(fig, filename='TBP_plots/Downloads by Episode')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/lib/python3.7/site-packages/IPython/core/display.py:689: UserWarning:\n",
      "\n",
      "Consider using IPython.display.IFrame instead\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~CoreyPetty/87.embed\" height=\"525px\" width=\"1200px\"></iframe>"
      ],
      "text/plain": [
       "<chart_studio.tools.PlotlyDisplay object>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "barh_episodes = go.Bar(\n",
    "    name = \"LibSyn\",\n",
    "    x = episodes.downloads,\n",
    "    y = episodes.title,\n",
    "    marker=dict(\n",
    "        color=episodes.color.values,\n",
    "        line=dict(\n",
    "            color='#e8800f',\n",
    "            width=0,\n",
    "        )\n",
    "    ),\n",
    "    opacity=0.85,\n",
    "    orientation = 'h'\n",
    ")\n",
    "\n",
    "# barh_sc = go.Bar(\n",
    "#     name=\"SoundCloud\",\n",
    "#     x = sc_stats.playback_count,\n",
    "#     y = sc_stats.title,\n",
    "#     marker=dict(\n",
    "#         color=sc_stats.color,\n",
    "#         line=dict(\n",
    "#             color='#e8800f',\n",
    "#             width=0,\n",
    "#         )\n",
    "#     ),\n",
    "#     opacity=0.85,\n",
    "#     orientation = 'h'\n",
    "# )\n",
    "\n",
    "layout = go.Layout(\n",
    "    barmode=\"stack\",\n",
    "    title='Downloads by Episode' + update_string,\n",
    "    margin=go.Margin(\n",
    "        l=375,\n",
    "        r=30,\n",
    "        b=30,\n",
    "        t=50,\n",
    "        pad=4\n",
    "    ),\n",
    "    yaxis = dict(\n",
    "#         title = 'Total downloads',\n",
    "        gridcolor='#f2f2f2',\n",
    "#         zerolinecolor='#969696',\n",
    "#         showline=True,\n",
    "    ),\n",
    "    xaxis = dict(\n",
    "#         zerolinecolor='#969696'\n",
    "        gridcolor='#f2f2f2',\n",
    "#         tickangle=45,\n",
    "    ),\n",
    "    paper_bgcolor='rgba(242,242,242,0)',\n",
    "    plot_bgcolor='#d7d8d8',\n",
    "    font=dict(family='Helvetica, sans-serif', size=16, color='#2e2e2e'),\n",
    "    width=1200,\n",
    "    legend=dict(\n",
    "        x=0.8,\n",
    "        y=1\n",
    "    )\n",
    ")\n",
    "# fig = dict(data=[barh_episodes, barh_sc], layout=layout)\n",
    "fig = dict(data=[barh_episodes], layout=layout)\n",
    "# iplot_offline(fig)\n",
    "iplot(fig, filename='TBP_plots/Downloads by Episode')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~CoreyPetty/126.embed\" height=\"525px\" width=\"100%\"></iframe>"
      ],
      "text/plain": [
       "<plotly.tools.PlotlyDisplay object>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "averages = []\n",
    "for x in range(len(episodes)):\n",
    "    average = episodes.reset_index().loc[:x, 'downloads'].cumsum().values[-1] / (x+1)\n",
    "    averages.append(average)\n",
    "trace = go.Scatter(\n",
    "    x = episodes.set_index('release_date').index,\n",
    "    y = averages,\n",
    "    name = \"All Time Average\",\n",
    "    line = dict(\n",
    "        color=TBP_colors['dark_orange']\n",
    "    ),\n",
    "    text=episodes.title\n",
    ")\n",
    "rolling = go.Scatter(\n",
    "    x = episodes.set_index('release_date').index[4:],\n",
    "    y = episodes.set_index('release_date')['downloads'].rolling(10).mean(),\n",
    "    name = 'Rolling Ave. (10 episodes)',\n",
    "    line = dict(\n",
    "        color=TBP_colors['orange']\n",
    "    ),\n",
    ")\n",
    "layout = {\n",
    "    'title': \"Average Downloads per Episode\" + update_string,\n",
    "    'xaxis': {\n",
    "        'title': 'Episode number',\n",
    "        'gridcolor': '#f2f2f2',\n",
    "        'zeroline': False,\n",
    "    },\n",
    "    'yaxis': {\n",
    "        'title': 'Average downloads',\n",
    "        'gridcolor': '#f2f2f2',\n",
    "        'zeroline': False,\n",
    "    },\n",
    "    'paper_bgcolor': 'rgba(242,242,242,0)',\n",
    "    'plot_bgcolor': '#d7d8d8',\n",
    "    'font': dict(family='Helvetica, sans-serif', size=16, color='#2e2e2e'),\n",
    "    'showlegend':False,\n",
    "}\n",
    "fig = dict(data=[trace, rolling], layout=layout)\n",
    "# iplot_offline(fig)\n",
    "iplot(fig, filename='TBP_plots/average-downloads')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~CoreyPetty/85.embed\" height=\"525px\" width=\"100%\"></iframe>"
      ],
      "text/plain": [
       "<plotly.tools.PlotlyDisplay object>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "episodes['day_of_week'] = episodes.release_date.dt.dayofweek\n",
    "\n",
    "traces = []\n",
    "\n",
    "for xd, yd in df_wkdays[-250:].iteritems():\n",
    "        traces.append(go.Box(\n",
    "            y=yd,\n",
    "            name=xd,\n",
    "            boxpoints=False,\n",
    "            boxmean=True,\n",
    "            pointpos=0,\n",
    "            jitter=0.5,\n",
    "#             whiskerwidth=0.2,\n",
    "            fillcolor=TBP_colors['orange'],\n",
    "            marker=dict(\n",
    "                size=3,\n",
    "                color=TBP_colors['dark_orange'],\n",
    "            ),\n",
    "            line=dict(\n",
    "                width=1,\n",
    "                color=TBP_colors['dark_orange'],\n",
    "            ),\n",
    "#             text=['min', '25%', 'mean', '75%', '' ,'max' ],\n",
    "        ))\n",
    "        \n",
    "episode_amounts = go.Bar(\n",
    "    name = \"Episodes\",\n",
    "    x = list(days_of_week.values()),\n",
    "    y = episodes.groupby('day_of_week').size(),\n",
    "    yaxis = 'y2',\n",
    "    marker=dict(\n",
    "#         color=TBP_colors['orange'],\n",
    "        line=dict(\n",
    "            color='rgba(46, 46, 46,0.5)',\n",
    "            width=1.5,\n",
    "        ),\n",
    "    ),\n",
    "    \n",
    ")\n",
    "\n",
    "layout = go.Layout(\n",
    "    title='Day of the Week Stats' + update_string + '(Last 250 days)',\n",
    "    yaxis = dict(\n",
    "        title = \"Number Downloads\",\n",
    "        gridcolor='#f2f2f2',\n",
    "#         zerolinecolor='#969696',\n",
    "#         showline=True,\n",
    "        zeroline=False,\n",
    "        overlaying='y2',\n",
    "    ),\n",
    "    yaxis2 = dict(\n",
    "        title = 'Number of Episodes Released',\n",
    "        gridcolor = '#f2f2f2',\n",
    "#         'zeroline': False,\n",
    "        side = 'right',\n",
    "        showgrid = False,        \n",
    "    ),\n",
    "    xaxis = dict(\n",
    "#         zerolinecolor='#969696'\n",
    "        gridcolor='#f2f2f2',\n",
    "        zeroline=False,\n",
    "#         tickangle=45,\n",
    "    ),\n",
    "    paper_bgcolor='rgba(242,242,242,0)',\n",
    "    plot_bgcolor='#d7d8d8',\n",
    "    font=dict(family='Helvetica, sans-serif', size=16, color='#2e2e2e'),\n",
    "    showlegend=False,\n",
    ")\n",
    "\n",
    "fig = dict(data=traces + [episode_amounts], layout=layout)\n",
    "# iplot_offline(fig)\n",
    "iplot(fig, filename='TBP_plots/day_of_week_total')"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [],
   "source": [
    "episodes.to_csv('./dash_app/episode_data.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "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>release_date</th>\n",
       "      <th>title</th>\n",
       "      <th>downloads</th>\n",
       "      <th>show</th>\n",
       "      <th>color</th>\n",
       "      <th>day_of_week</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>283</th>\n",
       "      <td>2015-06-01</td>\n",
       "      <td>Episode #1 - Introduction</td>\n",
       "      <td>3192.0</td>\n",
       "      <td>The Bitcoin Podcast</td>\n",
       "      <td>rgba(236,159,76,1)</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>282</th>\n",
       "      <td>2015-06-07</td>\n",
       "      <td>TBP02 - Holding Up the Sky</td>\n",
       "      <td>2559.0</td>\n",
       "      <td>The Bitcoin Podcast</td>\n",
       "      <td>rgba(236,159,76,1)</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>281</th>\n",
       "      <td>2015-06-15</td>\n",
       "      <td>TBP03 - Bridging the Gender Gap</td>\n",
       "      <td>2402.0</td>\n",
       "      <td>The Bitcoin Podcast</td>\n",
       "      <td>rgba(236,159,76,1)</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>280</th>\n",
       "      <td>2015-06-20</td>\n",
       "      <td>TBP04 - Change Jar 2.0</td>\n",
       "      <td>2519.0</td>\n",
       "      <td>The Bitcoin Podcast</td>\n",
       "      <td>rgba(236,159,76,1)</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>279</th>\n",
       "      <td>2015-06-28</td>\n",
       "      <td>TBP05 - The World's Strongest</td>\n",
       "      <td>2396.0</td>\n",
       "      <td>The Bitcoin Podcast</td>\n",
       "      <td>rgba(236,159,76,1)</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>278</th>\n",
       "      <td>2015-07-02</td>\n",
       "      <td>TBP06 - Aboard the Pequod</td>\n",
       "      <td>2310.0</td>\n",
       "      <td>The Bitcoin Podcast</td>\n",
       "      <td>rgba(236,159,76,1)</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>277</th>\n",
       "      <td>2015-07-06</td>\n",
       "      <td>TBP07 - Under the Iron Veil</td>\n",
       "      <td>2564.0</td>\n",
       "      <td>The Bitcoin Podcast</td>\n",
       "      <td>rgba(236,159,76,1)</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>276</th>\n",
       "      <td>2015-07-09</td>\n",
       "      <td>TBP08 - Bitcoin For The Bottom Billion</td>\n",
       "      <td>701.0</td>\n",
       "      <td>The Bitcoin Podcast</td>\n",
       "      <td>rgba(236,159,76,1)</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>275</th>\n",
       "      <td>2015-07-19</td>\n",
       "      <td>TBP09 - The Curious Case of Remittance</td>\n",
       "      <td>621.0</td>\n",
       "      <td>The Bitcoin Podcast</td>\n",
       "      <td>rgba(236,159,76,1)</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>274</th>\n",
       "      <td>2015-07-24</td>\n",
       "      <td>TBP10 - Bottoms Up</td>\n",
       "      <td>539.0</td>\n",
       "      <td>The Bitcoin Podcast</td>\n",
       "      <td>rgba(236,159,76,1)</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>273</th>\n",
       "      <td>2015-08-03</td>\n",
       "      <td>TBP11 - The End of Money</td>\n",
       "      <td>700.0</td>\n",
       "      <td>The Bitcoin Podcast</td>\n",
       "      <td>rgba(236,159,76,1)</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>272</th>\n",
       "      <td>2015-08-08</td>\n",
       "      <td>TBP12 - Boring Economics</td>\n",
       "      <td>767.0</td>\n",
       "      <td>The Bitcoin Podcast</td>\n",
       "      <td>rgba(236,159,76,1)</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271</th>\n",
       "      <td>2015-08-15</td>\n",
       "      <td>TBP13 - The Greatest Truths</td>\n",
       "      <td>509.0</td>\n",
       "      <td>The Bitcoin Podcast</td>\n",
       "      <td>rgba(236,159,76,1)</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>270</th>\n",
       "      <td>2015-08-23</td>\n",
       "      <td>TBP14 - Sex and the Single Bitcoin</td>\n",
       "      <td>669.0</td>\n",
       "      <td>The Bitcoin Podcast</td>\n",
       "      <td>rgba(236,159,76,1)</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>269</th>\n",
       "      <td>2015-08-30</td>\n",
       "      <td>TBP15 - Ants Marching</td>\n",
       "      <td>497.0</td>\n",
       "      <td>The Bitcoin Podcast</td>\n",
       "      <td>rgba(236,159,76,1)</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>268</th>\n",
       "      <td>2015-09-06</td>\n",
       "      <td>TBP16 - The Dual Revolution</td>\n",
       "      <td>539.0</td>\n",
       "      <td>The Bitcoin Podcast</td>\n",
       "      <td>rgba(236,159,76,1)</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>267</th>\n",
       "      <td>2015-09-13</td>\n",
       "      <td>TBP17 - Oiling the Squeaky Wheel</td>\n",
       "      <td>576.0</td>\n",
       "      <td>The Bitcoin Podcast</td>\n",
       "      <td>rgba(236,159,76,1)</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>266</th>\n",
       "      <td>2015-09-20</td>\n",
       "      <td>TBP18 - From Cradle to Grave</td>\n",
       "      <td>480.0</td>\n",
       "      <td>The Bitcoin Podcast</td>\n",
       "      <td>rgba(236,159,76,1)</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>265</th>\n",
       "      <td>2015-09-27</td>\n",
       "      <td>TBP19 - Branding the Disruptive</td>\n",
       "      <td>512.0</td>\n",
       "      <td>The Bitcoin Podcast</td>\n",
       "      <td>rgba(236,159,76,1)</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>264</th>\n",
       "      <td>2015-10-01</td>\n",
       "      <td>TBP20 - Bottoms Up 2</td>\n",
       "      <td>486.0</td>\n",
       "      <td>The Bitcoin Podcast</td>\n",
       "      <td>rgba(236,159,76,1)</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>2015-10-10</td>\n",
       "      <td>TBP21 - Call For Papers</td>\n",
       "      <td>474.0</td>\n",
       "      <td>The Bitcoin Podcast</td>\n",
       "      <td>rgba(236,159,76,1)</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>2015-10-15</td>\n",
       "      <td>TBP22 - Vote With Your Feet</td>\n",
       "      <td>431.0</td>\n",
       "      <td>The Bitcoin Podcast</td>\n",
       "      <td>rgba(236,159,76,1)</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>261</th>\n",
       "      <td>2015-10-25</td>\n",
       "      <td>TBP23 - It’s a Mad, Mad, Mad, Mad Bitcoin World</td>\n",
       "      <td>476.0</td>\n",
       "      <td>The Bitcoin Podcast</td>\n",
       "      <td>rgba(236,159,76,1)</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>2015-11-01</td>\n",
       "      <td>TBP24 - Betting On Bitcoin</td>\n",
       "      <td>795.0</td>\n",
       "      <td>The Bitcoin Podcast</td>\n",
       "      <td>rgba(236,159,76,1)</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>259</th>\n",
       "      <td>2015-11-08</td>\n",
       "      <td>TBP25 - The $199 Incentive</td>\n",
       "      <td>512.0</td>\n",
       "      <td>The Bitcoin Podcast</td>\n",
       "      <td>rgba(236,159,76,1)</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>258</th>\n",
       "      <td>2015-11-15</td>\n",
       "      <td>TBP26 - Change Jar 3.0</td>\n",
       "      <td>589.0</td>\n",
       "      <td>The Bitcoin Podcast</td>\n",
       "      <td>rgba(236,159,76,1)</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>257</th>\n",
       "      <td>2015-11-22</td>\n",
       "      <td>TBP27 - London Calling</td>\n",
       "      <td>653.0</td>\n",
       "      <td>The Bitcoin Podcast</td>\n",
       "      <td>rgba(236,159,76,1)</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>256</th>\n",
       "      <td>2015-11-29</td>\n",
       "      <td>TBP28 - Modern Day Gold Rush</td>\n",
       "      <td>676.0</td>\n",
       "      <td>The Bitcoin Podcast</td>\n",
       "      <td>rgba(236,159,76,1)</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>255</th>\n",
       "      <td>2015-12-06</td>\n",
       "      <td>TBP29 - Take the Power Back</td>\n",
       "      <td>731.0</td>\n",
       "      <td>The Bitcoin Podcast</td>\n",
       "      <td>rgba(236,159,76,1)</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>254</th>\n",
       "      <td>2015-12-13</td>\n",
       "      <td>TBP30 - Bottoms Up 3</td>\n",
       "      <td>576.0</td>\n",
       "      <td>The Bitcoin Podcast</td>\n",
       "      <td>rgba(236,159,76,1)</td>\n",
       "      <td>6</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>313</th>\n",
       "      <td>2018-02-02</td>\n",
       "      <td>TBP Announcements: Synapse AI</td>\n",
       "      <td>5120.0</td>\n",
       "      <td>TBP Announcements</td>\n",
       "      <td>rgba(236,159,76,1)</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>314</th>\n",
       "      <td>2018-02-04</td>\n",
       "      <td>TBP182 - Facilitating Positive Change</td>\n",
       "      <td>5809.0</td>\n",
       "      <td>The Bitcoin Podcast</td>\n",
       "      <td>rgba(236,159,76,1)</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>315</th>\n",
       "      <td>2018-02-06</td>\n",
       "      <td>Episode #19: On-Ramping with Dee</td>\n",
       "      <td>5009.0</td>\n",
       "      <td>On-Ramping with Dee</td>\n",
       "      <td>rgb(130,170,52)</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>317</th>\n",
       "      <td>2018-02-07</td>\n",
       "      <td>Buy or Sell, What the Hell #9</td>\n",
       "      <td>5276.0</td>\n",
       "      <td>Buy or Sell, What the Hell</td>\n",
       "      <td>rgb(247,195,24)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>316</th>\n",
       "      <td>2018-02-07</td>\n",
       "      <td>TBP Announcements: Bankera</td>\n",
       "      <td>5048.0</td>\n",
       "      <td>TBP Announcements</td>\n",
       "      <td>rgba(236,159,76,1)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>318</th>\n",
       "      <td>2018-02-08</td>\n",
       "      <td>TBP183 - Stampeding with the Big Blue Bull</td>\n",
       "      <td>5457.0</td>\n",
       "      <td>The Bitcoin Podcast</td>\n",
       "      <td>rgba(236,159,76,1)</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>319</th>\n",
       "      <td>2018-02-08</td>\n",
       "      <td>Crypto Until Infinity #2: Music and Smart Cont...</td>\n",
       "      <td>4863.0</td>\n",
       "      <td>The Bitcoin Podcast</td>\n",
       "      <td>rgba(236,159,76,1)</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>320</th>\n",
       "      <td>2018-02-09</td>\n",
       "      <td>Buy or Sell, What the Hell #10</td>\n",
       "      <td>5806.0</td>\n",
       "      <td>Buy or Sell, What the Hell</td>\n",
       "      <td>rgb(247,195,24)</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>321</th>\n",
       "      <td>2018-02-11</td>\n",
       "      <td>TBP184 - MyCrypto and the Current State of the...</td>\n",
       "      <td>7491.0</td>\n",
       "      <td>The Bitcoin Podcast</td>\n",
       "      <td>rgba(236,159,76,1)</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>322</th>\n",
       "      <td>2018-02-14</td>\n",
       "      <td>Buy or Sell, What the Hell #11</td>\n",
       "      <td>6678.0</td>\n",
       "      <td>Buy or Sell, What the Hell</td>\n",
       "      <td>rgb(247,195,24)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>323</th>\n",
       "      <td>2018-02-18</td>\n",
       "      <td>TBP185 - Blockchain Solutions &amp; Boosie Badazz</td>\n",
       "      <td>6192.0</td>\n",
       "      <td>The Bitcoin Podcast</td>\n",
       "      <td>rgba(236,159,76,1)</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>324</th>\n",
       "      <td>2018-02-22</td>\n",
       "      <td>TBP186 - Generational Wealth and Uncle Sam's S...</td>\n",
       "      <td>5252.0</td>\n",
       "      <td>The Bitcoin Podcast</td>\n",
       "      <td>rgba(236,159,76,1)</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>325</th>\n",
       "      <td>2018-02-23</td>\n",
       "      <td>Crypto Until Infinity #3: Vegas Vibes</td>\n",
       "      <td>5092.0</td>\n",
       "      <td>The Bitcoin Podcast</td>\n",
       "      <td>rgba(236,159,76,1)</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>326</th>\n",
       "      <td>2018-02-25</td>\n",
       "      <td>TBP187 - Vision of a Decentralized World</td>\n",
       "      <td>5465.0</td>\n",
       "      <td>The Bitcoin Podcast</td>\n",
       "      <td>rgba(236,159,76,1)</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>327</th>\n",
       "      <td>2018-02-27</td>\n",
       "      <td>Buy or Sell, What the Hell #12</td>\n",
       "      <td>5161.0</td>\n",
       "      <td>Buy or Sell, What the Hell</td>\n",
       "      <td>rgb(247,195,24)</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>329</th>\n",
       "      <td>2018-02-28</td>\n",
       "      <td>An Ethereum Podcast: Episode #13</td>\n",
       "      <td>5029.0</td>\n",
       "      <td>An Ethereum Podcast</td>\n",
       "      <td>rgb(105,107,165)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>328</th>\n",
       "      <td>2018-02-28</td>\n",
       "      <td>Buy or Sell, What the Hell #13</td>\n",
       "      <td>4459.0</td>\n",
       "      <td>Buy or Sell, What the Hell</td>\n",
       "      <td>rgb(247,195,24)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>330</th>\n",
       "      <td>2018-03-02</td>\n",
       "      <td>Creating a Humanist Blockchain Future #33</td>\n",
       "      <td>4390.0</td>\n",
       "      <td>Creating a Humanist Blockchain Future</td>\n",
       "      <td>rgb(210,20,4)</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>331</th>\n",
       "      <td>2018-03-04</td>\n",
       "      <td>TBP188 - Hello Crypto Kitty</td>\n",
       "      <td>4474.0</td>\n",
       "      <td>The Bitcoin Podcast</td>\n",
       "      <td>rgba(236,159,76,1)</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>332</th>\n",
       "      <td>2018-03-04</td>\n",
       "      <td>Episode #20: On-Ramping with Dee</td>\n",
       "      <td>4510.0</td>\n",
       "      <td>On-Ramping with Dee</td>\n",
       "      <td>rgb(130,170,52)</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333</th>\n",
       "      <td>2018-03-07</td>\n",
       "      <td>Buy or Sell, What the Hell #14: A Lawyer's Per...</td>\n",
       "      <td>4150.0</td>\n",
       "      <td>Buy or Sell, What the Hell</td>\n",
       "      <td>rgb(247,195,24)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>334</th>\n",
       "      <td>2018-03-08</td>\n",
       "      <td>TBP189 - The Innovative Investor</td>\n",
       "      <td>4482.0</td>\n",
       "      <td>The Bitcoin Podcast</td>\n",
       "      <td>rgba(236,159,76,1)</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>335</th>\n",
       "      <td>2018-03-09</td>\n",
       "      <td>Crypto Until Infinity #4: Another Side of Hip-...</td>\n",
       "      <td>3625.0</td>\n",
       "      <td>The Bitcoin Podcast</td>\n",
       "      <td>rgba(236,159,76,1)</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>336</th>\n",
       "      <td>2018-03-09</td>\n",
       "      <td>Buy or Sell, What the Hell #15: Have a Plan, H...</td>\n",
       "      <td>4307.0</td>\n",
       "      <td>Buy or Sell, What the Hell</td>\n",
       "      <td>rgb(247,195,24)</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>337</th>\n",
       "      <td>2018-03-11</td>\n",
       "      <td>TBP190 - Welterweight Gold II</td>\n",
       "      <td>3874.0</td>\n",
       "      <td>The Bitcoin Podcast</td>\n",
       "      <td>rgba(236,159,76,1)</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>338</th>\n",
       "      <td>2018-03-12</td>\n",
       "      <td>Episode #21: On-Ramping with Dee</td>\n",
       "      <td>3945.0</td>\n",
       "      <td>On-Ramping with Dee</td>\n",
       "      <td>rgb(130,170,52)</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>339</th>\n",
       "      <td>2018-03-14</td>\n",
       "      <td>Buy or Sell, What the Hell #16: Wishful Thinking</td>\n",
       "      <td>3824.0</td>\n",
       "      <td>Buy or Sell, What the Hell</td>\n",
       "      <td>rgb(247,195,24)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>341</th>\n",
       "      <td>2018-03-16</td>\n",
       "      <td>Buy or Sell, What the Hell #17: Confidence is Key</td>\n",
       "      <td>2446.0</td>\n",
       "      <td>Buy or Sell, What the Hell</td>\n",
       "      <td>rgb(247,195,24)</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>340</th>\n",
       "      <td>2018-03-16</td>\n",
       "      <td>TBP Presents: Social Implementations of Blockc...</td>\n",
       "      <td>2933.0</td>\n",
       "      <td>The Bitcoin Podcast</td>\n",
       "      <td>rgba(236,159,76,1)</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>342</th>\n",
       "      <td>2018-03-17</td>\n",
       "      <td>Creating a Humanist Blockchain Future #34</td>\n",
       "      <td>1138.0</td>\n",
       "      <td>Creating a Humanist Blockchain Future</td>\n",
       "      <td>rgb(210,20,4)</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>342 rows × 6 columns</p>\n",
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      "text/plain": [
       "    release_date                                              title  \\\n",
       "283   2015-06-01                          Episode #1 - Introduction   \n",
       "282   2015-06-07                         TBP02 - Holding Up the Sky   \n",
       "281   2015-06-15                    TBP03 - Bridging the Gender Gap   \n",
       "280   2015-06-20                             TBP04 - Change Jar 2.0   \n",
       "279   2015-06-28                      TBP05 - The World's Strongest   \n",
       "278   2015-07-02                          TBP06 - Aboard the Pequod   \n",
       "277   2015-07-06                        TBP07 - Under the Iron Veil   \n",
       "276   2015-07-09             TBP08 - Bitcoin For The Bottom Billion   \n",
       "275   2015-07-19             TBP09 - The Curious Case of Remittance   \n",
       "274   2015-07-24                                 TBP10 - Bottoms Up   \n",
       "273   2015-08-03                           TBP11 - The End of Money   \n",
       "272   2015-08-08                           TBP12 - Boring Economics   \n",
       "271   2015-08-15                        TBP13 - The Greatest Truths   \n",
       "270   2015-08-23                 TBP14 - Sex and the Single Bitcoin   \n",
       "269   2015-08-30                              TBP15 - Ants Marching   \n",
       "268   2015-09-06                        TBP16 - The Dual Revolution   \n",
       "267   2015-09-13                   TBP17 - Oiling the Squeaky Wheel   \n",
       "266   2015-09-20                       TBP18 - From Cradle to Grave   \n",
       "265   2015-09-27                    TBP19 - Branding the Disruptive   \n",
       "264   2015-10-01                               TBP20 - Bottoms Up 2   \n",
       "263   2015-10-10                            TBP21 - Call For Papers   \n",
       "262   2015-10-15                        TBP22 - Vote With Your Feet   \n",
       "261   2015-10-25    TBP23 - It’s a Mad, Mad, Mad, Mad Bitcoin World   \n",
       "260   2015-11-01                         TBP24 - Betting On Bitcoin   \n",
       "259   2015-11-08                         TBP25 - The $199 Incentive   \n",
       "258   2015-11-15                             TBP26 - Change Jar 3.0   \n",
       "257   2015-11-22                             TBP27 - London Calling   \n",
       "256   2015-11-29                       TBP28 - Modern Day Gold Rush   \n",
       "255   2015-12-06                        TBP29 - Take the Power Back   \n",
       "254   2015-12-13                               TBP30 - Bottoms Up 3   \n",
       "..           ...                                                ...   \n",
       "313   2018-02-02                      TBP Announcements: Synapse AI   \n",
       "314   2018-02-04              TBP182 - Facilitating Positive Change   \n",
       "315   2018-02-06                   Episode #19: On-Ramping with Dee   \n",
       "317   2018-02-07                      Buy or Sell, What the Hell #9   \n",
       "316   2018-02-07                         TBP Announcements: Bankera   \n",
       "318   2018-02-08         TBP183 - Stampeding with the Big Blue Bull   \n",
       "319   2018-02-08  Crypto Until Infinity #2: Music and Smart Cont...   \n",
       "320   2018-02-09                     Buy or Sell, What the Hell #10   \n",
       "321   2018-02-11  TBP184 - MyCrypto and the Current State of the...   \n",
       "322   2018-02-14                     Buy or Sell, What the Hell #11   \n",
       "323   2018-02-18      TBP185 - Blockchain Solutions & Boosie Badazz   \n",
       "324   2018-02-22  TBP186 - Generational Wealth and Uncle Sam's S...   \n",
       "325   2018-02-23              Crypto Until Infinity #3: Vegas Vibes   \n",
       "326   2018-02-25           TBP187 - Vision of a Decentralized World   \n",
       "327   2018-02-27                     Buy or Sell, What the Hell #12   \n",
       "329   2018-02-28                   An Ethereum Podcast: Episode #13   \n",
       "328   2018-02-28                     Buy or Sell, What the Hell #13   \n",
       "330   2018-03-02          Creating a Humanist Blockchain Future #33   \n",
       "331   2018-03-04                        TBP188 - Hello Crypto Kitty   \n",
       "332   2018-03-04                   Episode #20: On-Ramping with Dee   \n",
       "333   2018-03-07  Buy or Sell, What the Hell #14: A Lawyer's Per...   \n",
       "334   2018-03-08                   TBP189 - The Innovative Investor   \n",
       "335   2018-03-09  Crypto Until Infinity #4: Another Side of Hip-...   \n",
       "336   2018-03-09  Buy or Sell, What the Hell #15: Have a Plan, H...   \n",
       "337   2018-03-11                      TBP190 - Welterweight Gold II   \n",
       "338   2018-03-12                   Episode #21: On-Ramping with Dee   \n",
       "339   2018-03-14   Buy or Sell, What the Hell #16: Wishful Thinking   \n",
       "341   2018-03-16  Buy or Sell, What the Hell #17: Confidence is Key   \n",
       "340   2018-03-16  TBP Presents: Social Implementations of Blockc...   \n",
       "342   2018-03-17          Creating a Humanist Blockchain Future #34   \n",
       "\n",
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       "282     2559.0                    The Bitcoin Podcast  rgba(236,159,76,1)   \n",
       "281     2402.0                    The Bitcoin Podcast  rgba(236,159,76,1)   \n",
       "280     2519.0                    The Bitcoin Podcast  rgba(236,159,76,1)   \n",
       "279     2396.0                    The Bitcoin Podcast  rgba(236,159,76,1)   \n",
       "278     2310.0                    The Bitcoin Podcast  rgba(236,159,76,1)   \n",
       "277     2564.0                    The Bitcoin Podcast  rgba(236,159,76,1)   \n",
       "276      701.0                    The Bitcoin Podcast  rgba(236,159,76,1)   \n",
       "275      621.0                    The Bitcoin Podcast  rgba(236,159,76,1)   \n",
       "274      539.0                    The Bitcoin Podcast  rgba(236,159,76,1)   \n",
       "273      700.0                    The Bitcoin Podcast  rgba(236,159,76,1)   \n",
       "272      767.0                    The Bitcoin Podcast  rgba(236,159,76,1)   \n",
       "271      509.0                    The Bitcoin Podcast  rgba(236,159,76,1)   \n",
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       "..         ...                                    ...                 ...   \n",
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       "328     4459.0             Buy or Sell, What the Hell     rgb(247,195,24)   \n",
       "330     4390.0  Creating a Humanist Blockchain Future       rgb(210,20,4)   \n",
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       "260            6  \n",
       "259            6  \n",
       "258            6  \n",
       "257            6  \n",
       "256            6  \n",
       "255            6  \n",
       "254            6  \n",
       "..           ...  \n",
       "313            4  \n",
       "314            6  \n",
       "315            1  \n",
       "317            2  \n",
       "316            2  \n",
       "318            3  \n",
       "319            3  \n",
       "320            4  \n",
       "321            6  \n",
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       "340            4  \n",
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       "\n",
       "[342 rows x 6 columns]"
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