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@johncant
Created June 21, 2017 10:24
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{
"cells": [
{
"cell_type": "code",
"execution_count": 208,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"import json\n",
"import psycopg2\n",
"import sdkapi\n",
"\n",
"from matplotlib.ticker import FuncFormatter\n",
"from matplotlib.dates import DateFormatter\n",
"\n",
"%matplotlib inline\n",
"\n",
"# TODO - results in time zone of client\n",
"# TODO - remove invalid events produced by VeepMaker (they have no veepID)\n",
"# TODO - remove all events produced before the veeps were created (actually better to augment timestamp with kinesisArrivalTimestamp)\n",
"\n",
"nanoseconds_per_day = int(86400*1e9)\n",
"\n",
"client_timezone = 'EST'"
]
},
{
"cell_type": "code",
"execution_count": 209,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
"with open('./eagles_events.jsonlines') as f:\n",
" lines = f.readlines()\n",
"\n",
"df = pd.DataFrame(json.loads(l) for l in lines)\n",
"del lines"
]
},
{
"cell_type": "code",
"execution_count": 210,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
"df = df[~df.veepID.isnull()]\n",
"df[\"timestamp\"] = pd.to_datetime(df.timestamp, unit='s', utc=True)\n",
"df[\"client_local_timestamp\"] = df[\"timestamp\"].dt.tz_localize(\"UTC\").dt.tz_convert(client_timezone)\n",
"df['veepID'] = df['veepID'].astype(int)"
]
},
{
"cell_type": "code",
"execution_count": 211,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"data": {
"text/plain": [
"(1281062, 21)"
]
},
"execution_count": 211,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.shape\n"
]
},
{
"cell_type": "code",
"execution_count": 212,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"data": {
"text/plain": [
"previewVeepView 633818\n",
"previewVeepClose 546734\n",
"veepView 21030\n",
"veepClose 20377\n",
"previewVeepTouch 14653\n",
"veepTouch 14014\n",
"veepSelect 8471\n",
"productView 8417\n",
"productClose 8108\n",
"productViewExpanded 4694\n",
"productNavigation 746\n",
"Name: eventName, dtype: int64"
]
},
"execution_count": 212,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.eventName.value_counts()"
]
},
{
"cell_type": "code",
"execution_count": 213,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
"# Get data from DB\n",
"\n",
"veep_ids = df.veepID.unique()\n",
"\n",
"veeps = pd.read_sql_query(\"SELECT * FROM veeps_veep WHERE id IN ({})\".format(\",\".join(map(str, veep_ids))), sdkapi.get_connection())\n",
"\n",
"veeps['id'] = veeps['id'].astype(int)\n",
"veeps['created'] = pd.to_datetime(veeps['created'])\n",
"veeps = veeps.set_index('id')\n",
"\n",
"#pd.merge(df, veeps, left_on='veepID', right_on='id', suffixes=('', 'veep_'))\n",
"\n",
"df['veep_created'] = df['veepID'].map(veeps.created)"
]
},
{
"cell_type": "code",
"execution_count": 214,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
"impressions = df.loc[df.eventName == 'previewVeepView',:].copy()"
]
},
{
"cell_type": "code",
"execution_count": 215,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
"# View in client timezone\n",
"tsi = impressions.set_index('client_local_timestamp')"
]
},
{
"cell_type": "code",
"execution_count": 216,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7eff73fc9048>"
]
},
"execution_count": 216,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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sreJLq3PvJCe32rGjWNU1fh8/RKjIzMyh86FKBF8vdHBgUK3Os2dL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\nb1bnSy5xOykSO6d1UnSMrz9y/U//FN3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wNv7/OO88916sXt3+uHinUT/cf380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\nntP56aditQESh+QnAl55xf0fxOILuMFRRo+WitRUxp9/Lo3EPfeEu59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Wyr5NG1kr1Hvv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\nFDT/HzNkNFYT2xbyAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7eff73fc9668>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.pyplot as pl\n",
"\n",
"fig, ax = pl.subplots()\n",
"\n",
"s0 = tsi.resample('1h').eventID.count()\n",
"s1 = pd.Series(1, index=veeps.created).resample('1h').count().clip(0,1)\n",
"s1 = s1[s1 > 0]\n",
"\n",
"ax2 = ax.twinx()\n",
"#ax2.set_ylim(-0, 10000)\n",
"\n",
"ax2.set_ylim(-0.5, 50)\n",
"#ax2.set_zorder(2)\n",
"#ax.set_zorder(1)\n",
"\n",
"s0.plot(figsize=(16,8), ax=ax, c='b', zorder=2)\n",
"s1.plot(figsize=(16,8), ax=ax2, c='r', zorder=1, style='o')"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"# Note:\n",
"Some users have the wrong date on their phone, but the times are generally reasonably accurate. Solution is to use the time from the `timestamp` field and the date from the `kinesisArrivalTimestamp` (Thanks Emmett!)\n",
"\n",
"I'll just leave it as a TODO for now"
]
},
{
"cell_type": "code",
"execution_count": 217,
"metadata": {
"collapsed": true,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
"interesting_date_range = ('2017-04-24', '2017-07-01')"
]
},
{
"cell_type": "code",
"execution_count": 218,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"248\n"
]
}
],
"source": [
"print((tsi.index < interesting_date_range[0]).sum())"
]
},
{
"cell_type": "code",
"execution_count": 219,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"4\n"
]
}
],
"source": [
"print((tsi.index > interesting_date_range[1]).sum())"
]
},
{
"cell_type": "code",
"execution_count": 220,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
"tsi_filt = tsi.loc[(tsi.index > interesting_date_range[0]) & (tsi.index < interesting_date_range[1])]\n",
"df_filt = df.loc[(df.timestamp > interesting_date_range[0]) & (df.timestamp < interesting_date_range[1])]\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"# VEEPIO Impressions over time\n",
"\n",
"VEEPIO was first seen inside the Philadelphia Eagles app on the 29th of April, during the NFL draft."
]
},
{
"cell_type": "code",
"execution_count": 221,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"data": {
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00EMPSZK+8IUvaO+99y7pPUQ0BF4AAAAAwQ45xGtjDrq9AtOmTdOsWbO0ePFibdu2TePH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\nb0Q3bSLwZk1DA0EBtUfgrR/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T4e05btIqF3ijtjXvvXf329yOf5QKb1CIo8LbXS0rvO5z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\nip2WaOhQ79K1NZfyvA6BF0BBbkcpy1PoV6pYS3P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dDyN4G+rhNefOnP+gObxt22ae312K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\nVNpeD6+p8O1kC1OnurMdlqvgzeThtTudQR1VP4I8vETAP/8p8+kAd6j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iI2DnzJGBxXnz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\nf9mcwVBqpEa+AAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7eff73e34a58>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.pyplot as pl\n",
"\n",
"fig, ax = pl.subplots()\n",
"\n",
"s0 = tsi_filt.resample('1h').eventID.count()\n",
"s1 = pd.Series(1, index=tsi_filt.veep_created).resample('1h').count().clip(0,1)\n",
"s1 = s1[s1 > 0]\n",
"\n",
"ax2 = ax.twinx()\n",
"#ax2.set_ylim(-0, 10000)\n",
"\n",
"ax2.set_ylim(-0.5, 50)\n",
"#ax2.set_zorder(2)\n",
"#ax.set_zorder(1)\n",
"\n",
"s0.plot(figsize=(16,8), ax=ax, c='b', legend=False, label='Veep distribution')\n",
"s1.plot(figsize=(16,8), ax=ax2, c='r', style='o', label='Veep impression frequency')\n",
"\n",
"ax.legend([ax.get_lines()[0], ax2.get_lines()[0]], ['Veep impression frequency', 'Veeps created'])\n",
"ax2.tick_params(labelright='off', tick2On=False)\n",
"\n",
"ax.yaxis.label.set_text('Impressions per hour')\n",
"#ax2.yaxis.label.set_text('Veeps created per hour')\n",
"ax.xaxis.label.set_text('Time ({})'.format(client_timezone))\n"
]
},
{
"cell_type": "code",
"execution_count": 222,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
"ibvh = tsi_filt.groupby(by=('veepID')).resample('1h').eventID.count().swaplevel() #.plot.bar(stacked=True)"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"# VEEPIO impressions over time\n",
"\n",
"VEEP'd media is seen the most after it has been distributed, then slowly loses prominence after additional media is posted, or the media loses novelty as it is seen by an increasing number of Philadelphia Eagles users. The graph below uses different colours for each item of VEEP'd content to demonstrate how the impression rate changes over time since its initial distribution. We also see a strong diurnal pattern."
]
},
{
"cell_type": "code",
"execution_count": 223,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"data": {
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l/MDzHqQfeN6DJt0MrDHFw/0pp5w0sXYAddNiRA11ENIu//PymybckIYqLHCc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fAAAg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\nQcN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rzmALgccAn3t9M1q9mTJbG53lzyCKOrAOGZlMSsmmuimQGLnEeTMucZAgcZTIcObN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\nTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7eff75034358>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig = ibvh.unstack().fillna(0).plot.area(stacked=True, legend=False, figsize=(16,8))\n",
"fig.axes.xaxis.label.set_text(\"Date\")\n",
"fig.axes.yaxis.label.set_text(\"Impressions per hour\")"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"The graph below shows a portion of the above graph for clarity. At this level of zoom both the diurnal pattern and the attention pattern become more visible."
]
},
{
"cell_type": "code",
"execution_count": 224,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"data": {
"image/png": 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2rphhrH6A+VPnt7fTIiIiIiIiA0aBdwAl1R67eSgolzpDEjNCLPfntTDMqaWHAbilM77m\n2ulwGYADxch2dVdERERERGQgKfAOoFB9LRFfHtUFqKcL1QkjLOZzzHYvcEuxtiL1+eY8AJO51vGK\niIiIiMj+psA7gJJYruHNQ2T13kONah1vCGV15tNLJ5iqHaEVV5ZinzGjW7SZSBR4RURERERkf1Pg\nHUCJ9ao0O+Zxub3ZncHdwYYBOLX0MMECT++MLZ8zNDrBbDrNRP0g93/6b7a34yIiIiIiIgNEgXcA\nhWoNb0GBxWK5fTidASIWysA7m15gMZ/jluLwmuvnsmkm6of42G/+7rb1WUREREREZNAo8A6g0KvS\n7L4ceB1odOerM1YqM59Z+iLHkhupVXv3AsxwmSTUGBoa2q4ui4iIiIiIDBwF3gGU9LZH7hZYtYbX\nLamKVgUsrATZU4sPUws1bu6OLrddapRrfae6B7atzyIiIiIiIoNGgXcA9ao01+aB5TW8TiNdKLcp\nqtbwAlzsnKJbtLk1m1xue6KWUcScAzaJiIiIiIjIfqXAO4CClV9L80J3uWiVeaSRldsS9dbwAjiR\nc+3HuKl2E1Zl4/roQeayaQ7UD25vx0VERERERAaIAu8ACiQUXnDcRrnn1osAGNDollOVzepAffn8\nk4sP0wwtjnVX1vbOZTNMNA7xth/+we3suoiIiIiIyMBQ4B1AwQLRC0LM+NBLTzNbDeg2sivLU5xX\nj/Keaz9GHjOeka7svTtXTNNMhhgaHkVERERERGQ/UuAdQIGkCrw5WQ1mqm12DSfJ29WLlcBbeMaF\nzhPcnNwEsSxydbk2DcCR7vi29l1ERERERGRQKPAOoHKENy4H3unRlS2HGtkVACyMrLnm1OLDjNTG\nOZyWU51PDy0CcCiqcJWIiIiIiOxPCrwDKJAQKcBzYjAuT6wE3mZvHW9YO1X5bPtRAG7qlsPB6fAk\nC9ksE4kKV4mIiIiIyP6kwDuAeiO8bgUAl1fNSh7qXAbWj/B2ikWW8gWmWDl5Lp1hvHGId/+7f9X3\nPouIiIiIiAwaBd4B1CtaFS0HYGZVtm2mM7hHzIbWXTfTPcehsDKFeS6fZqw+weLFy33vs4iIiIiI\nyKBR4B1AgXKEtxd4Z6vA6xiNdB5w2CDwTqfnGK8fpJ5Xr0NZuOpgNrLuXBERERERkb1OgXcABUuq\nwFtOaZ4dKdfwugUa3QXACLVj666b7p4D4Ei3AcCF1iwAk/mhdeeKiIiIiIjsdQq8AyhYIBIpelOa\ne9sSeaSeXcEsYGEUS25cc91MFXin8nJE94wldIolDiSq1CwiIiIiIvuPAu8A6q3hLUIZeOeHIQ8A\nXk1pBvdI0nzOmuu6cYmlfJ7DTAAwNDrBXDrNRP0g93/6b7bzI4iIiIiIiOw4Bd4B1FvD2wu8bsbc\nCBjQTOeqsyJJ7Znrrp3unudQWJnCPJfNMN44yEff/3vb0HMREREREZHBocA7gHpreLOQM9R1AGaq\nbXdrRZdQpJjVsGQcS46uuXa6e3ZN4apLdoHEahy0tfv2ioiIiIiI7HUKvAOoXMNbkCc5U9WA7vSY\nLR9fM625sXZa80y6tnDVyeGyUvMN+dpgLCIiIiIistcp8A6gcg1vJEsypubKEd5LEytfVS/wQkGo\nP2vNtb3CVUfyckR3YeQQ89kMk/Uj/e+4iIiIiIjIAFHgHUC9Kc3dWsaBRQN3psdWjvcCr1mdkBzA\nksPLx7qxzWI+z2HGl9sudy8w2TzC2374B7ftM4iIiIiIiOw0Bd4BFEiIFGS1jFqEJMLMiC8fH0pn\nlp+7+/ppzd1zHFq1FdHFeJ5G0uJQ40D/Oy8iIiIiIjIgFHgHUGIJhUeypCBEcGC23FoXBxrduVVn\n5+umNU93zzJWO0CjKlx1unkJgGOppjWLiIiIiMj+ocA7gIIFnIK0BsEhBpgdKYtWuQUa6cLyueW0\n5kksHFxum14uXNUE4FQCS/kVJmsqXCUiIiIiIvuHAu+AeeTB+1a2JapVjWar1vAa9VWBtyesmtbc\nK1w1lZfDwkOjE8vreP/DG3+kj70XEREREREZHAq8A+aBT98DQEFBWjPcypHdxSEjTcC8oJGtDbzu\nGcmqac1p7LCYz3GYieW2y/l5hmujDHtzGz6FiIiIiIjIzlPgHTAXTj8BQKQc4fVVx2ZHwYBGd/6q\nq2qE2hEsrATc6e45DiWHll+faZwH4MbuYURERERERPYDBd4Bky0tARCrNbyFrUTe6XJr3XKE1+Ny\nu1WjwKFx28q5VeGqZl4ee7xe0C06TIUb+v0RREREREREBoIC76DJytLKhRVkNcjDSrCdHq+CrRfU\n8qU1l5XTmlcC70y3HNE90m0A0Bg9wHT3ApPNKf74P727rx9BRERERERkECjwDpqiDLWRSJZAkdjy\noUvjK19XM91oWvMxsHIYeCZdW7gK4FJ2nrH6QZ6494E+dV5ERERERGRw9C3wmlnLzO4ys8+a2QNm\n9paq/VYz+5SZnTCzPzCzRtXerF6fqI7fsupeb67aHzazb+lXnwdBEsuvJBJJa+BV3jV3ZsZWzmtc\nFXh705qT+jOAsnDVlWxt4arz9QsAHOseREREREREZK/r5whvF3ilu3818ALgDjN7CfA24B3u/ixg\nBviB6vwfAGaq9ndU52FmzwNeAzwfuAP4NTNL+tjvHVUryn97U5qrAV9ChJmRlfW8ze7cumvdC0L9\npuXXM92zHEoml18/3lwkjxlHXPvxioiIiIjI3te3wOulK9XLevVw4JXAH1bt7we+q3r+6uo11fFv\nsHLY8tXAB9y96+6PASeAF/Wr3zstVF9JtLJKc1F9Qw7MrsxOppnObni9JSthdjo9y2htgmZWpeaR\nSabTi0w2j/D5uz/dj+6LiIiIiIgMjL6u4TWzxMzuAy4AHwG+CMy6e16dcgroDUneBJwEqI7PAZOr\n2ze4Zs/pTWkuKEgTI6/GsmOAmdEyuDq2bkozgFlCSA6BtQCY7hWuShvL51xOzzPRmOS//85v9/Nj\niIiIiIiI7Li+Bl53L9z9BcBxylHZ5/brvczsdWZ2t5ndffHixX69Td8lXibcwpysBo2kqtJsxky1\nLZFb2GAv3hUhOQasFK46ko8uHzsfzhMscDSb2PBaERERERGRvWJbqjS7+yzwceClwAEzq1WHjgOn\nq+engZsBquMTwOXV7Rtcs/o93uXut7v77VNTU335HNsh8ZUpzXkCv5icZSiWobfTNNoNAGf0yilw\nX3e9uxPqxwHIYpcr2SyTqwpXPT48S/TIUdd+vCIiIiIisrf1s0rzlJkdqJ4PAd8E/C1l8P2e6rTX\nAn9SPb+zek11/GPu7lX7a6oqzrcCtwF39avfOy0sj/AWEGAE54a8WD4+MwrBIyPtC4wsnd3gDgWW\nrITZ6e5ZJlcVrsqHp5hNLzHZONK3zyAiIiIiIjII+jnCewz4uJndD3wa+Ii7fxh4E/BGMztBuUb3\nPdX57wEmq/Y3Aj8D4O4PAB8EHgT+HHi9uxfsUUn1leTmVDsNcUORLx9fWccLRy5+ZuM71I4C5XnT\n3bOM1MYZTlf2872cXuBQY4pf/NHX9+MjiIiIiIiIDITatU/58rj7/cDXbND+KBtUWXb3DvCPN7nX\nW4G3Xu8+DqKwPKW5wKqfI27M4/Lxy+MGODHUmbpwH4/d8qo115eFrRtYchgvLnKxewqAY90hvthY\nAuCCn+O28JVM2hgiIiIiIiJ71bas4ZWtS6imNBNJQrlG91i+MsJbBl5IYsbo0lmGl85veJ9QKwtZ\nz3TPk8eMY3FlHe+pkWkAjubaj1dERERERPYuBd4B09uH1z2SWBl4j1RreEN0pkfXnr/RtGb3glC7\nsXxOZDo9y9GwUshrYeQQC9kcB2qT664VERERERHZKxR4B0wv8OZFpFm1Ha7W8JrD7MhKZeYi1Jm6\ncO8GdzEsWRm9vdA+yYHaYer5yvG06FAPjQ2uFRERERER2RsUeAdMqKY0hzSn5eXa3alqhDcazI6s\nFJ8KMWNs8TRD7bX7DpsFQnIQbAiAS52TmBnHuq3lc9KYUg8N7vzAb/f184iIiIiIiOwUBd4Bk1gZ\neBtn2jSrfXZvKMrA68GYWTWluRd9j1zcaJQXQu0YAJe7Z4geOZavFKnKvAy8p+/67HX+BCIiIiIi\nIoNBgXfABALuTqtzhaFqhPdAjDRj+XxmrNySqGezac3uTqjdDEDuGbPpBY7a4eXjWUxphAYT3aH+\nfRgREREREZEdpMA7YAIJ0QsO1kZpeaS34fCRapQ3qxmLrVXnx4zxK0/Q6ly+6k5FtR9v6ULnCSbr\nRwhFGZfLEd4mWSdHRERERERkL1LgHTCBQEFBYTktnLO1corz0bxYPmdr05qTqnBV+RVf6pwisRpH\nu2WhqtS7BAvMjnX69ElERERERER2lgLvgAkWiF5QhJwWkdO1GgDHitWB19Zcs9G0ZjPDrI4l5TTm\nS51T5X2ych1vRgpAov8BIiIiIiKyRz1p3DGzxMzevl2dEQiWED2ShZwhImerwHvjqhHeSxNrA2+I\nGRMLj9PszKy/X+0mALqxzXw2zVEOla9DF4BWUevL5xAREREREdlpTxp43b0AXr5NfRHKKc3lCG9G\nC2cxBHLgaL6y1vby2NrA23s1dem+Ne3u+XLgBbjYPslU/SgWndQyABqF9uIVEREREZG9aSsTWu81\nszvN7PvM7B/1Hn3v2T7VG+EtQk4rOo7hrOzFG6KvWcPbU4Q6Ry585uq7Vet4Sxe7J2mEFpNpnU5S\nTmluxnqfPomIiIiIiMjO2sp81hZwGXjlqjYH/qgvPdrnggUiBVmSM+FOGowEOFyUI7zmMDvi66+L\nGRPzj9HozpE2J8pzLWDJBNgw+NLKOt50hDNJWdW56c3t+WAiIiIiIiLb7JqB192/fzs6IqVySnMk\nDzlNdzKMABytilZFg9kRW3dd2eIcvvx5ztz4srX3rN1IzE6wmM+xlC9wgx/kkdoXAWigKc0iIiIi\nIrI3XTPwmtn7KEd013D3f9aXHu1zZZXmSJ7ktNxZ8gjAZBGpuZMHY2Zs/QgvQLSEg7NfWBN43SOh\nfpyYnQDKas1TrZuZjwkenLpphFdERERERPamrUxp/vCq5y3gu4Ez/emOlGt4C9JaOcJb8zLcBuBw\nUXCuVmNmBCIbLMB2Z3zu0asaIyGsWsfbOcnTRr+CwzZJlndpmEZ4RURERERkb9rKlOYPrX5tZr8P\nfKJvPdrnggXymJElGa0YqYWV6ctH8zLwxsRYGIaJpauuJTLUnabVuUynNVm1JljtKJAABRc7JwE4\n1h0mtS51BV4REREREdmjtlKl+Wq3AUeud0ekVBatiqRJQcudZNXs5WOrtibaqFJzz8TsieXnZoZZ\nbbla81x2ibTocCweIIsp9aDAKyIiIiIie9M1A6+ZLZjZfO9f4L8Ab+p/1/anQLktUdab0rzq2E1F\nXH4+Pba+cBWU63gPzX5hXXvSeNry80vdMxxJppYD79lTp65b/0VERERERAbFNQOvu4+5+/iqf599\n9TRnuX7KolUFaS3ScqdereEtgCOrRngvT2wceAHG5x5b89o9x5Ljy68vdp5gvH6ILGbUQ4M//vV3\nXt8PISIiIiIiMgC2UrQKM/tO4B9UL//C3T/8ZOfLly9YQiSS1aC1qmhVBKZWB95NRniDF4y0z1NP\nF8gaY1VrQqgdo/x9I3Kx2o8383KEd3g+6d8HEhERERER2SFbmdL888AbgAerxxvM7N/2u2P7VW9b\noiyBZnQaq6o0T1V78SaFMzOy8dZEPQfmHll+Xq7jrS+v453pniWPGWlMaYQmY/mTLAgWERERERHZ\npbZStOrbgG9y9/e6+3uBO4BX9bdb+9fKtkSQRGeoyrUJZZXmngsHNr+HEzZZx/t0ACKRK/kMmXep\nhTrnw+z1/AgiIiIiIiIDYatVmlfHq4l+dERKgbA8pdndGPKVQlVTRUFwpwjw0HFjYWjje7gFxmfX\n7sdbruO9afl1t2iTkQKQt3JERERERET2mq0E3n8H3Gtmv2Vm7wfuAd7a327tT6cef5zEakQKYoDC\njJavTF2uAYeKCGYUifHJ52y2jjdndPEMtWz1Rr2r1/FCGjt0q8Bbj1/O7lQiIiIiIiKDbStVmn8f\neAnwR8B7XV6SAAAgAElEQVSHgJe6+x/0u2P70cnHH8HMiEQ8MZao8/b2P6fwlWB7pChHYxuZ84nn\nb/71Gc7E/Moob7mOt4El5RbKadEmDV0AhgrtxSsiIiIiInvPVof2AnAJmAWebWb/4Brny5fhi5/7\nLACFF5A4iwzzp/krOOOTy+fcUK3jTWvw0M0wvUm9Kcc4OPvwuvakXu7Hm8YO3VCO8DaL+vX8GCIi\nIiIiIgPhmtsSmdnbgP8FeIBydxwAB/6yj/3alxZnZgCIFIQAS9XI6xkOczOXALipqtSMGQ78zVcE\nXvXpuO5e0RImZr+4ps09x2rHgbvoxjadegZAwzXCKyIiIiIie89W9uH9LuA57t7td2f2u7xd/okj\nkRAiS5RB9Ak/wot5iAjckK1Uam6kzl8/z3jVp9ffK3jO2JWThKJLTJpVa28dr5EWHbJQrg9uenP9\nDURERERERHa5rUxpfhTQnNftUE1XjkRCAkuUQfSUl+tuC1bW8AKkdfjijcaFDepmGxA8MjH/2Eqb\nGWZNLDlCGttMchiAOhrhFRERERGRvWfTEV4z+2XKqctLwH1m9lFgeZTX3X+s/93bX0JhkEBBQRIi\nbSsDb28NrwGHV+3Fi5XFrP76eYHv/h/rpzU7cHD2C8wcfO6a9qR+M2k8z9fVXk4eM+qmwCsiIiIi\nInvPk01pvrv69x7gzm3oy74Xqu2BokVqidP2FgDn4kEAEuBoUay5ppk6n3ie8d3/Y/39YqhxYPbE\nmrZyHe/NpN3HCQS6cYl6UOAVEREREZG9Z9PA6+7v386OCNSq7YcKIrUk0mYIgDOsjPAeKXJwXx7d\n7dbh5BHj1CQcv7z2fiHmjC18CYsZHnqz0gMhuZE0dgBIY0pDI7wbunThAh9+/7v533/q/9rproiI\niIiIyJdhq9sSyTZIPAEgWkEzRJa8Crw+iZf1pWg6TMRV05fNMHc+8ZXJuvsZkMSc8YUnVp0esNAk\npdzPKIupRng38dG3/Bpff/Fr+eWffMNOd0VERERERL4MCrwDpCqaTGGRFk47loG3TYs5RpbPO5qv\nndZcz+Fvnluu2d3IwdkvrGuz+nHymC0H3v/8nl+9Lp9hL5mIEyShxqF0k82ORURERERkoD1p4DWz\nxMze/uXc2MxuNrOPm9mDZvaAmb2hav9XZnbazO6rHt+26po3m9kJM3vYzL5lVfsdVdsJM/uZL6c/\nu0FCOUpbWEHTnSUf5jCzAJzyw8vnXb2ON60b5w4Zj92w/p7Fput4j5PFDlnMqIcG059/bP3F+1zL\nyjXUB/IDO9wTERERERH5cjxp4HX3Anj5l3nvHPhJd38e8BLg9Wb2vOrYO9z9BdXjTwGqY68Bng/c\nAfxaFbgT4FeBbwWeB/yTVffZU0KspjQHpxWdKz7CLXYegNM+tXze8Xx9RWaLzl9tMK05xJzx+cew\nuDokr6zjzbxLPTQZT4ev74fZAxqhHGEfCxvs+yQiIiIiIgNvK1Oa7zWzO83s+8zsH/Ue17rI3c+6\n+2eq5wvA3wI3PcklrwY+4O5dd38MOAG8qHqccPdH3T0FPlCdu+ck1ddRsDLCe1O4BMBJyr14HTiW\n5+uurRXwyefA1VHYgFrRZWzdOt4W3dgl85RGaHKlk/XjI+1qzaTcFmq0rsArIiIiIrIbbSXwtoDL\nwCuB76ger3oqb2JmtwBfA3yqavpRM7vfzN5rZgertpuAk6suO1W1bda+54SqaFVukZY7bRocYoFA\n5FQ1wpsDUxsE3qxuXB43vnB8/X0dmJz523XtacxIPcXMaE+0r+dH2RMaoZzSPFab4F0//dM73BsR\nEREREXmqnmwfXgDc/fv/Lm9gZqPAh4Afd/d5M/t14Ococ9jPAb8A/LO/y3tU7/M64HUAT3va0/6u\nt9sRyyO85oy606ZJMCeh4Gw8BJQjtoeL9YEXymnNn352wnNPrV3jG0OdgzMP8dgty8ulcc9JY0FK\nt3zvakskWdFMysA7VBuh6BTXOFtERERERAbNNUd4zezZZvZRM/t89fqrzOxfbuXmZlanDLu/6+5/\nBODu5929cPcIvJtyyjLAaeDmVZcfr9o2a1/D3d/l7re7++1TU1NXH94VwpopzZElb+IYBYFzXg6E\nJ8BUsXH4qhVw/y0b3DdmjM8/Tii6a94t9Ug3pAA04zV/+9hXLl24QDMZYi6dBqClv4+IiIiIyK6z\nlSnN7wbeDGQA7n4/ZXGpJ2VmBrwH+Ft3/8VV7cdWnfbdwOer53cCrzGzppndCtwG3AV8GrjNzG41\ns0b13nduod+7zvI+vJ7Tis4SLXJPiCScqao0G3BDvnHgzerGl44asyNr2w0IXlxVrdnIIqRWBd6i\nfp0/ze72kQ/+LoklXO5eAOBgPr7DPRIRERERkadqK4F32N3vuqpt4zm1a70M+D7glVdtQfTvzexz\nZnY/8PXATwC4+wPAB4EHgT8HXl+NBOfAjwL/jbLw1Qerc/ec0NuWKM+W1/B2qraLHKDr5SjjiDsj\ncX2l5p77nrF+erJja9bxmhkZCd2kLFbV8MZ1+xx7wcITZwGY9gsUXjCOtiYSEREREdlttjJP85KZ\nPZNyzS1m9j3A2Wtd5O6foBxcvNqfPsk1bwXeukH7nz7ZdXtFb0qztzOa7rS9Se4rWw2d80M83coR\nx6N5waON9b9X1HLn3mcGvu5zV63jtYSDMw+vaUu9Rjcpz2tGBd7Vmp0EhmHR2lzJ5hitqVKziIiI\niMhus5UR3tcDvwE818xOAz8O/FBfe7VPJb0R3rlztNxZoknBSuA9XU1rBji6SeGqaPD5p6/fnijx\nnNHFM9TTheW2jDpWK3/zaNC8Tp9ib2gV5d+jU0u5ks0xVh/ng//xl3a4VyIiIiIi8lRcM/BW+99+\nIzAFPNfdX+7uX+p/1/afYIHoBaONFi13OjSWpzEDnKr24gW4Md94SnNMjIVh4/EbNn6PgzMPLT/P\nvMZXdV9A9EjDNMK72pCXFZrTWmShmGekNsH0ffpvLyIiIiKym2ylSvOkmf0S8FfAX5jZO81ssv9d\n23+MhOiRPMkJ0XACXVaC6BO+EniPbbAX72qfedb6rzZawuT0yjrezOrcMnQzWUypm0Z4V2sxBMB4\nd4J5nyVYILS0dZOIiIiIyG6ylSnNHwAuAv8z8D3V8z/oZ6f2q8QChRdkSY7HGgk57WqqcY2cM17+\nzpBRruHdTCNzPnvrRuHMOTj7MLgDkFaFqrLYpa4R3jWa1iItOhwqRphpzANwIBvd4V6JiIiIiMhT\nsZXAe8zdf87dH6se/wY42u+O7UeBhEgZeIkJw3RYrEYaAc7Fg8vPn56lm94nrcGJY7B0VYYNHml1\nZxlqXwSgoF4G7JhSDwq8qzVCi27sMBtmudw5B8BEVKVmEREREZHdZCuB97+b2WvMLFSP76XcIkiu\ns3INbyQPOdHrDFuHpWqENyfhLOUIbwJ8dTfl6GbTms0oEuPzT994Cu6hah2vmZHGThV463zx4c9v\neP5+1AxNukWHS41ZktlplvIFRhNVahYRERER2U22Enj/OfB7QLd6fAD4P8xswczm+9m5/aZXtCpN\nysA7Socr3hvhNc74JO7llxaAb7+ytPm9Cuczt63/egurcWjmQQDcnbToksWURmjw5+/7rev+mXar\nZtIijV3mT5U/DixUlZq/+NCe3AJaRERERGRP2kqV5jF3D+5erx6hahtz9/Ht6OR+EShHeLNaTuYN\nRuiwSGv5eJcG04wBsGTGq64sbn4vh889vdo8eU17wYHZE+ARcNLYJfVySvPo4la2Zd4fGkk5pXm4\n+XwAruTzjNUP8Gfv+I0d7pmIiIiIiGzVVkZ4ZZsES4heEENGmyHGaLO0KvACnKn24h1y57Ys47Z0\n47W8ec24eMA4e2htu+HU8zZjCycpA29WTWluMlaM9eNj7TpnnniMZhiiGzs0Rr8DCweZj7PUQ4Mw\nrB8FRERERER2CwXeARIsEInEWlmdedg6xKu+opNV4DUgAt/5JNOaAe57xsZf8eTMg4CRek7mKbVQ\n51ycvg6fYvf72Ac/QLBA19sAWDLJbDIHwHg29GSXioiIiIjIAFHgHSDlCG/EQ8aiDzHE+tHbk9yw\n/Dw1uOPKIuZXT1wu1TPn3meuL1xVhDoHpx8GjDQ6Kd2yfeTJ9/bdL5bOzADQsQ4AoTbFdKi2JipU\nuEpEREREZLe4ZuA1s2eaWbN6/nVm9mNmpv1Z+qC3hpeas8QQwSJxvL7qeOR0PLz8uuVwQ1Hwwk53\nw/vlCTx0HLLkqveJGRPzj2IeyRxSK4N13ZMN7rL/tLJy2nI7lIHXwkGunH2ItOgwFvRfX0RERERk\nt9jKCO+HgMLMngW8C7iZsmqzXGe9Ks0hcRZ9mCdGbyJ98RReL0dpEwrO+ME112TAqxc3ntbsweg2\njIeOrx3lNcriVc3uDJkHulYG5lZW3+Au+89QLLeCWkrKHwIsHKAVWizkc4zVVKdNRERERGS32Erg\nje6eA98N/LK7/xRwrL/d2p96a3iTEOnQoltvQjB8qBxxzEk472urUDnwDYuL1DeZ1mxx4+2JHGN0\n6SwpCWlSTmVuVkFvvxuK5TrdbvU7gSXl3/xKNs9ofYJ3/8ybdqprIiIiIiLyFGwl8GZm9k+A1wIf\nrto0FNgHvTW8VnOWvElWL//MXlUGdgKnfXLNNQ1gPDqvWGpveM9ahPtvWd/uFhhaukjmCe1aOZLZ\niI3r9ll2s6aVlbG7i1+Bxw5mDbBRFoo5hmujZEta6ywiIiIishtsJfB+P/BS4K3u/piZ3Qr8p/52\na38qpzRHkuAs0SKtVQF0ZGUrnGkm6Pja3xu6wKs3qdac1YyTU8blq3YcMi9odmfJvEZR/S9oosAL\n0LAW3aLNUHILHi8CEJJDzFlZqXnI9HuPiIiIiMhucM3A6+4PuvuPufvvV68fc/e39b9r+08gIVJQ\nS5y2N+nUyynGcWhtMakzV43yJsDLlpYYK+Km9777qmnNBrQ6l0mpc4SjANQVeAFohhbdoixY5XEW\nAKsdZrpRVWrOtF+xiIiIiMhusJUqzS8zs4+Y2RfM7FEze8zMHt2Ozu03yyO8idOmUa7hBbx1deA9\nvOZ1DWgC37S08ShvPXPuvm399kTD7YtkNPja2teSx4y6aQ0vQDNp0Y1V4PUC90gIk8ycf5TCC8ZR\npWYRERERkd2gdu1TeA/wE8A9QNHf7uxvwcoR3sScJZp0Gr0R3rVf0xMcWXdt24zvuLLIH42NrjuW\nJ/DgzdCtQXPV8tNWd5acBtEjaezSCBrhBWiGJgvZXPWqDjiEAzRjzmI2x1hNe/GKiIiIiOwGW1nD\nO+fuf+buF9z9cu/R957tQ72iVY0k0vYW3Srw0kpYqcHsnPT1gbfpzgs7XY7m6wsqeTCyuvG5W9aO\n8tbyJQxIY4csptRNgRegmQwtj/Ca1YBAqCo1L+TzjNbG+eP3/ccd7KGIiIiIiGzFVgLvx83sP5jZ\nS83shb1H33u2z5x6/HGSaoS3HsoR3qzZhDxCMKimNdcoOHvVGl4ov8gA3LG4cbXmpHDues7V63gd\nvCCN3TLwJgq8D9x/N43Qousd3FPMhjEzLIyANbmSzzFaH+fiJ0/sdFdFREREROQathJ4XwzcDvxb\n4Beqx9v72an96N5P/QVAOcJr5RrerFnHFssR2zhcBl4HzsWN15C2zfjGxcVN3+O+Z8DVu/WGmJEW\naTXCW+f3fmV/f7WfuvPDmFkZeOMShJHlYxYOMcccwRJ8eAc7KSIiIiIiW3LNNbzu/vXb0ZH97vLJ\nM8AziURaXlZpJgmEpS7FRAMbrsF0SkGyrmhVT9Odr+qmTOYFl2trC10ViTE7Co/dAM84t9KeFCmp\np+QxZax+gCsnzvbxUw6+ON2GBrRDB+IiVlv5W4faJLP1cm3vge7IZrcQEREREZEBsZUqzRNm9otm\ndnf1+AUzU9We62xxvtz+piCnFZ0OdQhgaQR34nDvtwnjLIeIvr7qcm9a8zcsbTytGXfuevbaIFwr\n2qSxIPOURmgwnq0verWftNLy79wOHdwXodqqyd2x5DCX0wsATLgqNYuIiIiIDLqtTGl+L7AAfG/1\nmAfe189O7UeelgWwI07LndwMrAq1Dr5qL96MOpcY3/A+HTO+cXGT7YlyuPeZq94To54tkbmTeko9\nNLnSya7PB9qlWrEFQDtJce9ive+AAgsHCNOXWMqvMJYo8IqIiIiIDLqtBN5nuvvPuvuj1eMtwDP6\n3bH9JmTl6tpoOY3oeCiDllffULzGXrw9DXf+fqfDWBHXHctq8NgNxnQ1iOsWqGdXSN3IqnC3OL75\nGuD9YMirwEsDSFcdSbBwEIAr2Ryj9THOnHx82/snIiIiIiJbt5XA2zazl/demNnLgE3mzMqXy6pq\nUoU7SQzUQzni62YQDL9qL95TPrXhfQLlwux/2N7gK6pGK+95VvW1u9NM58kc0irc1UjWX7ePNK1F\n9Ei28FWsLvFVVmqeABIWiysM10b5s3f8+o71U0RERERErm0rgfeHgV81s8fN7EvArwA/1N9u7T+1\nWH4VRSgwr1GrAi/VSC/NZHnUF+AJP7rpvbrAt2w2rTlz7n52eR8j0ujOknqga10AWnG/B94h0thh\nuH4Ei8b43GPLx8wCFg6wVFxhKBkhtq+ueS0iIiIiIoPkmoHX3e9z968Gvgr4e+7+Ne7+2f53bX8J\nVRGqSASvUUvKMOXJSsjtreNNKDi9wV68PTXgJe0OQ3H9tOY8gQeeBmkNDGh1psk80E3KtbvNYn/v\nxdtMWnSLcnT88Ox5br/37bTal5aPW3KIK7YAgDfX/31FRERERGRwbLotkZn9U3f/HTN741XtALj7\nL/a5b/tKrRpZLSzHvU6SOLjD6sA7XIPFnEDkCT+y6b0SIHHna9sdPjqydsNYD0Ya4PNPN174RWeo\nc5mMGmkopzQ3fH8H3kZo0o3laPdIewaA0cXTdIbKNdOhNsVCMg/AWDa0M50UEREREZEtebIR3t5G\no2ObPOQ6ClV1qgInFnVIAuQO9VVf0Uj5+0ROwqfiVzDvmweuFLhjceOl1knh3PWc8r7NdJ7U63ST\ncgp1M+7vwFuO8HZwj4x0ymA7ungGAPcCCweZD+UI72jc31s4iYiIiIgMuk1HeN39N6p/37J93dm/\neoE3WkHhTWJSw7IItZUCU70pzU4gJfDnxYv43tr/t/H9gJctLVHzQ+UWR6uYw73PKEsy1bMrZDSo\nJWXQbdDsy+fbLZqhRRo74G1a3bJi9cjiueqoYeEA82ceobg1Z8T0u4+IiIiIyCC75hpeM/v3ZjZu\nZnUz+6iZXTSzf7odndtPkqo6chGc3IfIazXII15f2Yt39dZELbr8P/HlG90KKH/JGHPnxe3OumN5\nzZgZM84dgFreJvMGt3dfRPRI3fbvCO/df/kxGkmLrnfwuEgrLUdyh5bOA1XRquQQrdBgqVhgONEI\nr4iIiIjIINtKleZvdvd54FXA48CzgJ/qZ6f2o6T6KgorKLxFVq9D5isjvMaarYm61Plk/Aou+vim\n98yBO5Y22UHKnc/dahhOIOdAc4wsdvd14L3vox8DoOMdPF6h1S2nNI8snQcvC1SZ1cHGWMoXGa6N\n8ODnPrNj/RURERERkSe3lcDbS1nfDvxnd5/byo3N7GYz+7iZPWhmD5jZG6r2Q2b2ETN7pPr3YNVu\nZvZLZnbCzO43sxeuutdrq/MfMbPXPsXPuCv0pjTn5mRFi7TewPK4si2RGT6ULO8M6wQigf9SvHTT\ne0bgFYtLBF+/fU6tgIdvKp8nRUoau6QxpR72b+C1+bJwVzu0sdgmiSnt1iRJTGl1Z5bPC8mhKvCO\n8sn3/MFOdVdERERERK5hK4H3w2b2EPA/AR81sylg/TzZ9XLgJ939ecBLgNeb2fOAnwE+6u63AR+t\nXgN8K3Bb9Xgd8OtQBmTgZ4EXAy8CfrYXkveSxHvrcyNdWnTrTay4KqjWwpoiVkN0ubN42ab3bACT\nMfKCbnfdsTyB8wfKMJ0UHdKYksWUxj4OvK2sDkAndKjl5T7GiyM3AjC8vI63rNS8GBdoJcNkufbi\nFREREZH/n707D7Lsvgo8/z2/u7wt96ysXVJpKa2WyotsbAHewWwNDT1M039Az8QMTEzDdDDQ7YYJ\naIhumqWD1d3TPRgD7W7AeGMxxgsyYITwJsmWqiRLqk1S7ZlVub79Lr8zf9yXW2VmVVapqjKr6nwi\nXqjy3t+97977MiN03vn9zjGb1Xr68P4U8AjwsKqmQBP4nnUcd1pVv9r7dx14HtjVO/aDvWEfBP5x\n79/fA/x3LXwJGBKRHcB7gEdVdUpVp4FHgW+7hHu8LjjmM7w5bUokcQx+ZTCl1cV1vG1inta7OO7H\n1jxvDrxntWrNIpwbFDyOKG2T+JTUJ0QSs/+JL7zq+7keVfKi6nUrzInT4pklUVGsvL+1tFLzCA1p\nACCh9eI1xhhjjDFms1pP0arvB1JVzUXkZ4A/AHZeypuIyB7gdcCXgW2qerq36wywrffvXcDxJYed\n6G1ba/sNZb5oVaYpbS2RxKtkeFm+jheKDO2f+7WzvBnwjmar6Ol7ntlacYoobZJoXgS8Lubxj378\n1dzKdatMGYCWr1BKiwyvqMdLQLXXmghA3BCNsAh4B7LqyhMZY4wxxhhjNoX1TGn+WVWti8g3Ae8G\nfpfedOP1EJE+4OPAj/eKXy1QVQWuyJxQEfkREXlSRJ48e/bslTjlNeV6AW+adWhRQkNZ/cnUlneS\nKqY1r72OtwTsyHP2dZMV+/JAyEWJ0jqJV1JNiIKYvnb0am7lulWSCrnm+MbrKXeaKI4obQJKtTXR\nG1VUap6RYil7X26Vmo0xxhhjjNms1hPw5r3/fifwflX9S4rloRclIhFFsPuHqvonvc3jvanK9P47\nH0mcBG5Zcvju3ra1ti+jqu9X1YdV9eGxsbWn+G5W81Oa07ROmxIEDjk/4vWKrwTLNrWJOai38KLf\nvea5M+C7G61V9yWhUu7OkKoWa3ilRH9+c/aXLbky3bxNNRqg2pkjifspJbM49UUvXlVEBHFVmqeO\nkfmUqvXiNcYYY4wxZtNaT8B7UkR+G/inwKdEpLSe40REKLLBz6vqry/Z9QlgvtLyPwf+fMn2H+pV\na34zMNub+vxZ4FtFZLhXrOpbe9tuKE7mM7yv0NYYQqHPNfhHs59cNk7LwXlHCoK/YE/eHHh3s0m4\nyrTmTglKnWlShUS7BC7kJJOv9nauS7ErkfiiHlutPUWnNESpOwNAmHeIk8UC5ZVoF62sQc168Rpj\njDHGGLNprSfg/Z8pAsz3qOoMMML6+vB+I/CDwDtF5One6zuAXwa+RUQOUUyR/uXe+E8BR4HDwO8A\n/wJAVaeAfw880Xv9u962G0qAI9eMvmqJFmU0FL6x/BV+YOD32dN5uRgk4CvhimNLpPxF9ubVlun2\n9sOI97y5vbK4dr0C5e4kiToSimrOvnJzFmIqBWW6eQfVhFp7hm5pmChtLOyvtZZXam5lDaphjQNP\nfGkjLtcYY4wxxhhzESujp/OoaktEJoBvAg5RzJA9tI7jHme+qtJK71plvAI/usa5fg/4vYu95/XM\nEeA1R4J0YUrzsCt6v7628wwvl/eACJQDVECWBLcdSpxgK1/Tu3i9HF71/AnFtObHq5Vl26f7hOFz\nTVIcuaQAlPxFfy1uSCVXppk2UN+knNSZifuW/QL3NU8xPXwvqh4JRmnlDYZLW/j7P/gzHnzjmzfs\nuo0xxhhjjDGrW8/U5J8D/g3w071NEUWlZnMFiTi8eghS2hqBgxFXJLLv1ecXBzpBS+dPa4aAnD/L\nv3nt8wNva7Uo+8XsrXhlqk+I0gaJBnSlyPCWsps04A0qJL6D5A0Cn5KF5YV9Xhy15nxxcY+4IZq+\nQSmo0NFsYy7YGGOMMcYYc0HrmdL8vcB3U/TfRVVPAVap5wpz4sg1JwhSui4EEYalyPDujI4tG7u0\nF++8gJxP5W8k09U/0gioqvL21mJPXqcwOahEaZNUY5KwyPD25Tdfq52//tOPErmYjrZx+fw05qXP\nUqi2xnv/DoqAt9eLN5S1JjIYY4wxxhhjNtJ6At5kafsgEald3Uu6ORVTmj0uSEhcBKoMhkXAO1w5\nS+wX199KdWUGNiHmHEN80d+/5nt0ZHm1ZhWYGIAwa5NqxGCwlWY2x974fk4eO7bmeW5ER578KgBd\nOr1WRODy7sJ+0Xwh4C0qNQ8yFxUBb5/14jXGGGOMMWZTWk/A+5FeleYhEflh4HMURaXMFeTE4ckJ\ng5ROEOOynGrQIstCnPPsax0oBqriVwl4ASJSPuzfseZ7RApvabcZzItOU17g1KggKLmHN8Vv4sXW\nAUbL2/i7X3n/Fb/HzSxsFlO9265D3At4w2wxGy5AnDaIknrxszhmfRHw9nur1GyMMcYYY8xmdNGA\nV1V/FfgYRT/de4B/q6r/6Wpf2M0mkCLDGwRKx8WQKXHY4XRrDwAPpvMBLyt68c5ThEfzNzCrq2cc\nA4oqZe9p9rK8IpwaLVL3gU9IfIcz4QzNbI7XxK/jq4//wxW9x82skpYA6ARdSkkTRQjTlb2Ll1Zq\nbk90yHxKzXrxGmOMMcYYsyldMOAVkUBE/lZVH1XVf62q/0pVH71WF3czERxecyKndIISZJ4o7DLh\nt9LpVrlDjiyM1fLqGd6MkC4xn8gfWfN92iJ855Jpza2yQ8URZh2SvMt9wd280NrPSGkrL37ohmt3\nvKayFgFvM8ipdBsk8QDlZGbFuL7mqYV/18q30czqVEPL8BpjjDHGGLMZXTDgVdUc8CIyeI2u56YV\n9Ko0B05JghJhliICXUrU57awrXSyGOgEXSPDC1Chw0fyt6+5v6TK67tdtmeLlYUzB1HaJPEJMTFP\n1s7QSGd5IN5302R5y1q0a+r6IartaTqlIUrd5QGv4qj1Al7VHHHDtLIGlaDGl/7mr675NRtjjDHG\nGOdV604AACAASURBVGMubD1reBvAARH5XRF53/zral/YzWahLZFz+Cik5IuCSZnE1OfGqJbrbEt6\n02lLAepWrwzcpsQBvYMX/C2r7p//wJdmedNQe62JMmKJCWrDC1negx+6OQK5kpTJfEreeIC+5iTd\n0jDjAw1+83scSe/7BRWh0ppYPMgN0sqb1MI+Dv7p5zfkuo0xxhhjjDFrW0/A+yfAzwKPAU8teZkr\nKJAAjwcXkkchVS2qMnuBufoWAF7ffmZh/NpZXsHh+XC+dvGqYlpzc/HnWCl1Z0l8TkmKqb1P9Y3f\nVFnekivT9R2qUT99rQnSuI+n9gpfuN/x8rZijGhObaE1kcMFQ7R8gzgo0wqSDbt2Y4wxxhhjzOrW\nU7Tqg8CHgK8BXwU+1NtmrqD5NbxKQBrFVCkysOJymo0RvHfc559bGK9rVGqGolrzn+WPkOjqQXFZ\nlb1pyp6kCNLqVaHUnSZVT+zKAEWWt/0Mw6UxDv3RjZ/lLQVlunkH6BD6lCwsMz5UZNGPbS3+TAQo\nJbOEaavXmqifuiuqNodr9D82xhhjjDHGbJyL/l+6iHwHcAR4H/CfgcMi8u1X+8JuNvNreJGIJIqp\nUWRgcw3wPqTRHOKW8JXFA2prB7xdSkwzwN/416+6XwBPryevKrNVKCezJF6LgNcrAE9UJ6inMzxQ\nfi1f+PyNXassdiUS34F0rrfFMT5c/OuVbcunj1eXVGquh8Xn1G+9eI0xxhhjjNl01pOW+nXgHar6\ndlV9G/AO4Deu7mXdfGR+SrNGEDoGeplDzYqPqD43xkjlDKIZqF6wcBVAiYQ/vsC05hS4v5sQeJjq\ngyhtkKrixBH5IsCL+oZ5vr2foXgLJz56Y09rLjK8XYJewBvknYUM74kRXTa2r3V64d+zWvTqtV68\nxhhjjDHGbD7rCXjrqnp4yc9HgfpVup6bVpHhzfE+gkAYkDp5HhB0i8C2Xt9CGGQ80Hqh6MV7gSnN\nACkBj/mHGNehVffHwFieAzA5QK9oVfHrUM4Xfy2eqk5QT6e5v7SPk8eOXYE73XzOTUxQchW6vk2U\n9r5oyFucGyj2n9yymOFVZKFSM0Ay2U/qu1Sd9eI1xhhjjDFms1lPwPukiHxKRP4XEfnnwF8AT4jI\n94nI913l67tpOAnw6lGN0dAxKLMkWRlp9wLeuTEA9iXPgIAfKaHh6pWaATwBHsfH87euul+AbXlO\n7mBiSIq2RPMBr1/8tYj6hnmldYSheAsf/c1fvUJ3u7l8+dFPE7qIRLvEaRNFmCvPoU7YOqPM9An1\nomsRKo5qs5jSrJpTLe2mmTWoBrUNvANjjDHGGGPMatYT8JaBceBtwNuBs0AF+EfAd121K7vJOBwe\nT+7jIsPrZkjyMq5eBLydTh9JWuIuOQQi4IR8W+WC5yx68r4N1dX3D3qPA06N9KY0U7xXxS/PHk+5\nSQBG0htz2u7pg4cASKRLuVsniQeYrU4DsGOqGHO8KJSNaE51oTWRIG6IVtagGvbx6Mc/fI2v3Bhj\njDHGGHMhF54XC6jq/3otLuRmV2R4c3JfZG6H3AztvAqNUm+EUK9vYUflRPFj7vE7q3CyteY525R5\nWXfwlN7Nw3Jw1TE17zk5KoRZh4avkvqE+7JdHOPIwpiz5WJd60i2+vTo653WE4ghIaHSnaVTGmK6\nVrQfKncVEI5tc9x/3CNApTtFkHXIwzK4IVr5ccbK2znyV3/Ht/yTf7qh92KMMcYYY4xZtJ4qzbeL\nyK+LyJ+IyCfmX9fi4m4mrle0KtcyBI6hYIqOr0K2+J1EfXaM/so0g9k0OMEPx2h84Y8wJOOP83eu\nuX8497TKxdRo9cIL9UPcUtrDLc3SwphTEtDNOwy6kVd5l5tTlBbPsCsJ1dY03dIw5wYS4lRpl8B5\n5ZWx8yo1t4ssr7gyLV8ncqWLFhIzxhhjjDHGXFvrmdL8Z8DLwH8Cfm3Jy1whX/vy47he0arUlyEU\nhoJpWrq81U29XsyrfX3rmWJaswh+x4WnNQvKp/I30dDyqvu35jmIkAVCkHc43FEa6Qxv9vchvfZE\nlb5B5tJpBqKhG7JwVcnHAHSDlL7WWdK4j/Eh2DoD40OCKJw8L9avNRcrNdddA4DYevEaY4wxxhiz\nqazn/9A7qvo+Vf1bVf27+ddVv7KbyOH9zwDg8SS+jAbQH87Q0eXBbL0+iircnz9bbMg82Y4L939N\niWhR5k/yb1p1/66sqNSchEqUtlBX5WuTn2MwGuXBxvDCuLl0hoF4mA//wi9d7m1uWvF8wOs81c40\neVBmfEjYPq2cG4TcwYktML8UWoG+5smF4+thMa28P7PCVcYYY4wxxmwm6wl4f0tEfk5E3iIir59/\nXfUru4lMnSmq/npyUq0QkROI0pXlWdk8j2m1B7kteLnYEAg6GOMvMpW2Soc/yL9lRfGqDLglTQFo\nx0qUNhBX4VT7COOdY7w2fIBKsZtZnSJyMaXa6pni61lMBBTPI/Ap3gkTQzDcgDwoMumNqjDbi2dV\ngiWVmpVZLR5Sv7fWRMYYY4wxxmwm6wl4HwR+GPhlFqcz35j9aTZI2m4DRYa3TZnQJ8V2WRnIzs1u\nYax8CtQX05oBv/PC05pblDiot/CU3r1suwK39QLeRkUoJXOIFOd66txnCSXiTc3dAEwFRdXi0WTg\nMu9y84ooMrx5q2j91HV1urFQTZav2z3e68crmlNrneltzQnr95HkHaruxqxibYwxxhhjzPVqPQHv\n9wN3qOrbVPUdvdfaVZDMJZOkSL1mZHQkouSLINTLyo+nXh8jjrrc1TlabMg8+fYqa3Qemn8HIlL+\nW/6eZVsDYHeW47wyW4O4OwO9rHI9neJo/QB3le5mrB1yqlJM2x32w+ef/LoXS4ncZwyntwIwXSmq\nUivLA96Xt/cCXqDSmSTI2oDDhUO0cuvFa4wxxhhjzGaznoD3WeDG7EezSQS94lCZ5LRciVi7ADiX\nrxhbnysKV722+3SxIXRoX4T2XbTDFJ/NH+acLmZoHbA1zxCF6RqUkjoiAfQynvunP0/Xt3lLupek\nPEIjnWMgvPEC3lAiUk0I0lkU4Vx/EfA2yn5hTJArx86r1NzXOImI6/XibVIN+/jkH/7+Nb12Y4wx\nxhhjzNrWE/AOAS+IyGetLdHVEeXF1OWcnHZQpuyLgDf3Kz+eVmuQLIt4DQcWN6oWPXkvICUiJeLD\n+TuWbd+Se1Rgqh+itKg2LK6Y1pz6Ls9OP87WeCd7m33MpdMMRkN8/IPvv+x73YwiF5P6LlEyQxIP\nMN3XQLxSP2+58qnzKjX3N48DIBLSyhrUwn5OPnYAY4wxxhhjzOawnoD354DvBX4Ra0t0VYS+CHgz\nl9JyFSoU04c1X60YlePc1G72Dj7LT07/Gk4z8Eq2vXKRac1F8ao/yt9JrouZSgdEKONDshDwsqRY\n1tH600wnE7xB7mMum6EvGuLEE8++irvdfIqANyXqTtMpDTHZ12K0DhPDi88pD4TjSyo1e3H0148v\n7G9qg9BFZFXBGGOMMcYYszlcNOBd2orI2hJdHSG9gFdyWmGZmrTw3hG1I0b8ykJIh154hBOTd/H6\noS/wS3M/TZkOVEJ0KL7g+7Qoc1LHeMzvW7a933tOjUKUNgEQtzjtWVGOzD1NXzjIDFM4cdSC0qu9\n5U0lkojUJ5RaM3RLw5wdzNk2rUycN5G/UxImFx6NnNeLtw5A1UfX5qKNMcYYY4wxF7VmwCsidRGZ\nW+VVF5G5a3mRN7ow77XFcTmNsEYfDZK0zP3jd/CPkzdS1fMDWcdLz72Fg6dex67+l/il7nsR7y9a\nrRmgRLKieNWw95wbFPqaJwiyJmHlLbCkYNNMMgHAuVLxsY+kN9aS7vkMb7UzRxL3MT4EY7PQLq3M\n1s5XanaaFwGvelQ99bD4sqA/vfDUcmOMMcYYY8y1s2bAq6r9qjqwyqtfVW+83jQbaD7Dm7qcdlSh\nX+bo5hX6W/04HDvWqIw8fvg1HDjyzQxHk7yBJ5DtEXqRGbUpAY/5Bznutyxs25blzFUh8BkjU8/j\ngi0EpYcW9s8mE6gqJDG5ZgxxYxWuilxMqgmltEEShczVhL7O6mNf3r74JxP4lGprAlBmsxhVZUAH\nr81FG2OMMcYYYy5qPWt4zVUWalFhOZWcVlBhwM3RyatUukXGdrcfXfPY2VO38fSBd/PG9CukUYm7\nbju95lgA3wuu/zB/d+9n2JXlpKGQOWFo9jDqO4TlRxbW8maa0sim2RffSz2dYSC6AQNenxCmLeqV\nomBYuErBsCBXjm9ZvlK6r3kCcJSSh2lkMwxFa39WxhhjjDHGmGvLAt5NIJhfw0tCKywz4GZo+yoV\nXwSc2/MLTyHu1EfRp7YypFN077h48r1Eykfyt9PVkBzYnRZ9f9NQiJMG4sogZaLKIwvHTHfHGQ5G\nmE1mGIiG+C/v/cnLvNvN5fFHP03oirZEUdZkplxM227FK1tCKXByRJb9PFA/joggboCZZJrBeJj/\n8eu/fI2u3hhjjDHGGHMhFvBuAgFFhjdL6yRRzGAwQ1srVDVGUfqp0OfLFz5JWuIbJp/icHQ3e3ef\nvODQDiWmGOAz/o04YE8v4G3HulC4Ck1x8UOIK6Y+Tyfj9IWDzOXTVMM+0ix9Vfe8WRx84gkAUhKi\ntMXZ/qJSdbMk7Ewz3js5TahFVtcHwsktRVYcQCWk1iietYhjJpukFg4wd2z8mt+HMcYYY4wxZiUL\neDeBUIqA1ydHIHQMBLO0tUJFS4zLLAA7/ciFTgHArS/W6dM62V21i44tkfDJ/C0EwB1pCqo0y0q8\n0Is3BnKiWtG3d75w1bSbAmA4XVk9+nqUzRT3m5AgPuX0UJO+tnJuUPiOZpMfnKtzb5IsjE8iWaje\nLJpRa55a2DcZTAIwmFnhKmOMMcYYYzYDC3g3gYCQzKcM9OcQCDVpkFKmTMS5YI4cz651BLxB5njT\nzJM8X3qAPdsuvJY3IeSUFutNt2c5gYfZKsTJ0gLcDhfegov2Mt0tspbnelN+R7Ibo1Jz1C2mKCdB\nQhL3MTnQYts0TAzB3qTIYt+XLM9mHxsrjhGgnMwSJkXQfDYosuOjua3jNcYYY4wxZjOwgHcTCCQg\n1xwfZGgo1GiCL1oReRQBtvuhYtHoRdzx4jRlbRHdc+F+sIrjhI4BEAMBMNMHUdoCLSbtigSo7xJV\n30bXJ7SzBrc2b6Wbdxh0Fw/ArwexL7LrXUnoloY4O5CybUaZ7lsMeO/tLg94X9m+/M+mv3kC1Rw3\ndwfNbI6h0AJeY4wxxhhjNgMLeDeBQEJyzdDQQ+Co0CbqBbyC4HDUKDGoF58qG3Ydb6o/xbPlB9k9\nevaCY2fpo93r8RvhmewXBE+YtRYHSYy4AYLyw8wkE9xVu5O5dJqBaIiTx45d/k1vEnHvOXddRrs8\nzOSAZ7AJIYtrm+9cMqU5zFZWau5vHAfAuSFmk2mG4mE+85E/uDY3YIwxxhhjjFnTVQt4ReT3RGRC\nRJ5dsu3nReSkiDzde33Hkn0/LSKHReRFEXnPku3f1tt2WER+6mpd70YqMrwZPlAil+LwVLMiQxvq\n4ke0nnW8AHtfPEdIRt99KysNn++MFlOT+1UZ781SjntTdAFEBPVdwvLDTCVnGAhHioA3HubDv/BL\n673FTSvuBfyZKM1yhHdCOXPckaZEQF2Eu3prnAG8W16p2UtAf71oTSTBMDPZJP3RMEf/4asbcDfG\nGGOMMcaYpa5mhve/Ad+2yvbfUNXX9l6fAhCR+4EfAB7oHfNfRCQQkQD4f4FvB+4H/llv7A1lPsOb\nByGxFFnFSqcoChVq0bIoJ2eXX1//26glPNx6igPVfWwbnLzg2GO6DYAtuWd8qAjk4rS+bIy4EiIx\nM+kcThyzOk3kYkq1i1SOvg7EWgLAt5RGtZjK3Q11YTrzS1HEoPdsy4svD7wTTo9ANv+Xo0q1ebrX\nmqjGlCued62XOTbGGGOMMcZsnKsW8KrqY8DUOod/D/DHqtpV1ZeAw8Cbeq/DqnpUVRPgj3tjbyiB\nBOQ+Jw9iyq6YPlvtDAIQabHGVBC2rXMdL8C9L54BYMsDnQuOO8StKLA1yzk1KigwdvbpVcfO5sWv\ny1QwDcBocvGev5tdJBFePcPHldlq8ayapSLgTYFeTSvuXlK4KguFM73vHhyeWusM+CIgnug9my2Z\nreM1xhhjjDFmo23EGt4fE5H9vSnP8ynLXcDxJWNO9Lattf2GMp/hTSWm7Dp47xhs9dMhpUqRKXQ4\nKsSM6PraAZXqwus6X2N/32sZrs2uOsbhOebHyICdacbkoDBbi9l16jGqzTPLxqrmtBkj8V1mgyL4\nG15nxnkziyQm9QnDHqaqLaJMmanB3iTh5ShiSy+z+8AalZoBnOZUOucAaJzJaOdNhoLLC3g/8LP/\nD+cmJi7zbowxxhhjjDFLXeuA978CdwKvBU4Dv3alTiwiPyIiT4rIk2fPXrhY02YzX6VZKVF1LZK0\nTF+3RlsSKiyfGrvzEoLM1xw6QUbI7tfMrbo/IF9oTbQ7KwK6Y1sSFMfeI3+yYrwLtzKbnOWt7s00\n0lkGwhsl4O0SpS0m+ptsnYGJIWFvknIojrgly0mAvd3FwlWorqjUPDD3CqqeWvVOZrtTDMbDfPUL\nj13StfzOT7yXb03ew9/9/G9fgTszxhhjjDHGXNOAV1XHVTVXVQ/8DsWUZYCTwC1Lhu7ubVtr+2rn\nfr+qPqyqD4+NjV35i7+KigxvjmqJmmuS5GWqSZkWXSq6GPBm5OsuXAVQnhYeSvZzYPAhBsr1Ffsz\nAk7rKCFwe68i8cSwA5TRqecYmfr6wliRAAlGme6eYTgcZS6dYTAa4uMffP9l3/dmELqI1KeEWZPT\nIx22TSvtAc+OPGc8DAkpWjbdmS6p1JzD8SUJXEUYaLwCeFywldlsioFohC/9wccv6Vru6t6OE8c2\nt/OK3JsxxhhjjDE3u2sa8IrIjiU/fi8wX8H5E8APiEhJRG4H9gJfAZ4A9orI7SISUxS2+sS1vOZr\nIXBFleaMCv1Bg05epZJW6EhCSLAwzuHY5geRda7jBXjo0Mt0pMqeh6ZX7FMcx3QMAe7ptd6Z7hcC\nzcmCEnsPfwzxi5WeRQKm0zqhi5nLZuiLhjjxxLMrzns9iVwxpTnK2hzb0mWkAbfnRfCfSfHnEQB7\n0ozYFw8+d3B0++JyahVHrXEKCJBgK5MyiRNHJSqt+zqe+eLj3FK9A4DR0lYe/egfXalbNMYYY4wx\n5qZ1NdsSfQj4InCPiJwQkf8N+I8ickBE9gPvAP5vAFV9DvgI8HXgM8CP9jLBGfBjwGeB54GP9Mbe\nUOYzvBll+qROy1epaIlEsmXjHEKJiFHtX/e5a5PwUPdp9g/tWzXLW6dGWyNGvRJ4ZbrWu6a8S601\nzs7Tjy8bP9eLf2eYwomjFqw/qNuMIheTaYrkbeo1pdaVhQrNQ9niut0iy1v8rE6YGpCFNk6iOX3N\nkwggEnM2ngFgNF1/Nv75P3iUclDlbOc0/dEQL37xyStyf8YYY4wxxtzMrmaV5n+mqjtUNVLV3ar6\nu6r6g6r6oKo+pKrfraqnl4z/D6p6p6reo6qfXrL9U6p6d2/ff7ha17uRAgnJyUip0u/m6PoqEQGZ\nrN5Hd5e/tIJI+y6Q5QWY1KLacuRhtlrkLQVIgwp3vPRJwrQFFIWr6mwh15xzpWJd8Eg6dEnXstlE\nLiL1CZ5eMCuwN0mpi7AzW/6Fw71Jsuzn524rClcJEKdNol47p7kzOUneYUjW/zndEeylnTfZnxf9\ne7d2By/3lowxxhhjjDE9G1Gl2Sxx4uWXCSXqVWkuAt4srwCrdyDKyNnhLy3IvFiW95RuAaCEZ666\nWH04ytuEWZvbX/7L3hZBwq3MJZMMJUPkmjHE9V24KnIlUp+QBEUw24iLlkRH4oi96WLAmwP3LanU\nHGbKgT3L/3z66sdRzalV9jKTTjEUj3Dq+MsXvYbf+8V/x/bKbo43j3IyO03mU7b2+iMbY4wxxhhj\nLp8FvBvsa1/+PCJCphkd6aMmDdQXAa+orBgf9NbxulX2XciFsrxHKIok9asyfV7XozxYbFMk4nDB\nCNPJOA9X30gznaMWrK9N0mZ0+IVniV2JlIR2KUUUGhVlb5pwJIoYyxcz7Dlw55IMrxd4YffyLyUG\nG8cAELeV2XSKwWiEj//ib1z0OrYfr+Ik4Eh8lNLUJFPds4yUxtYVLBtjjDHGGGPWZgHvBjv14iEA\ncjJaQZUqTYK8DECswYrxghARMtabhrxea2V5HTkH/W4ARvOcmb7lQVyYd1Fx7D2yWHF4Jp2lHFRp\n5y0qYY39T3zhkq5ls3jic48CkGrCXBVG6ooOeAa8MhWGLP1KIaKY6owWT8cHy9fxegnoa5xYqGY9\npecIXEglji54DecmJri1chdT3Ql2dLcCMJVOMBRv4WO/8ptX+paNMcYYY4y5qVjAu8GyZhuAXHJa\nQZkqTeKsyPAGrAx4ARRl1yW0J5r32kMvFVnefYtZ3gDPK7qNDNia5ySR0Fne+hdRZXTq6wRpE4DZ\nvAgF23mLSlDly3+4smfv9aB+4gwACQnTfTnbppWBajFtOThvPrkAw96zJffLti+s41VPrVksSRdx\nnI2KZzyaXnjK9yd+8VcZikd5pXOYZ879FQDj7gxOHCPUXtX9GWOMMcYYc7OzgHeDSW9ZaKYZzbBK\njRa1pIzHU9LVs4M5nnuzXfT78iW9V3VSiizv4D6GKo3ifXu9eBXY2atCfP60ZqfF1N6h2aOoZsxp\nkdZs+ybloEbWvqTL2DSCbhHVdl3CZH+XsVm4jWLd7kiernrM3UumNS9dxyso1dYEkvfaO00LmU8Z\n5sKFq+5M7yT3GRPVOcqu+DxP5afw6tnmbR2vMcYYY4wxr4YFvBss8sVHkLmcVlChQpNad5A2KVXi\nVY8JcIQEfEf6eqq6+pi1vPbQS3Qpc+tDU0DRi/e4jhEAt/SqEs+sklhUhOHZg4BDw+3U02laNBER\n8lq28oDrQJSFAKSSMtmf0t+BvUnCeBCwJ139nu5fUrjKC7xwy+IUcEHpa55GNaMW3s1sMsVgPMLU\nuXOrnuvxRz/N7urtnGofQ7MuAC66Gzc1w2wyyWi09crdrDHGGGOMMTchC3g3WOSLoCsnoxFVqNKi\nvzlCW7pU1ghmBcEhlDXm25PXUdJw3e9XnRQeSvYvy/I2qJJqyGs7XcQrf/fQyqnUXgIGZ48i4hA3\nwExyloYUU5z700vLNG8Wpbx4vt0gpV4Fp8JdacqhOFroxbtUwvIMrw+EqX5hfMms5f7GMcDhgm29\nSs2j/I+f+flV3//0n32FUlDhqD/E7JkXcOEe4r7vIig9yGRylpHSVn7zR3/sCt6xMcYYY4wxNxcL\neDdY0Mvwpi4jCSPEw1B7mJYklNfI8AKEvfW9A1rl25LXEa1S4Got++azvA9OLWyb1Rr3pBmVFP72\nIeHQzuXHOM3orx9HelN9Z5IZGlEHgFp+fa41jSmmjHddxlxVyJ1yR5JyLAyp6cqmUA64c5VA+Nnb\nis/QS8DQ/JcCwQDT/hyRiylVSqu+/55gL62sQV9WFCALSvuK94lu5SzjhC5iMLx+q2AbY4wxxhiz\n0Szg3WBhLzubO08SBKRZib6sSocUx4VbD0UE5OSMaj/fku4j0PV9nNVJYU/+MlN9i+tLJ3r9dAdd\nTjlRPvCeAL/k7YViLW9//RiqykyuEBXXXtPrNODtZdB9kjJXgXI5IwYawepfHoTA7WlKuCQYDjPl\n2T3zD0oZmHt5Yd+5uChctaU7uOJcH/j5n2FbZRfHW0d4kWcRN4CL7kA1wwU7OBVMALAtGXvV92mM\nMcYYY8zNygLeDRYyv440Q0LoZhUqWYlU1rcuNiYiIWWnH+ad6WtW7d27mi3JJGfDxWDqZS0KJG3P\nM7ohvLRd+Ot9K881MnsQyJnTAb4z+E5S36Xirs+AN+pl0IeOdJirwlhcTFeu9PrvfsXfw7d2f4W6\nVpYcA3ek563j7fXjdeqpticIkzqqylRDyDVnhC0r3vuW8S04cRwuv0IwM0UQPwgoPjuGuAr5uQb1\ndNbW8RpjjDHGGPMqWMC7wcLeVORUPOWwSzev4HDk4vHqaWeNi56jTEybhNv8GG/M7lzX+w6168zK\nMNWoTUDOEV/MYd6R5agTqh3lQ2931BdjPXIJGZw5AgSkwS46eZNW1qQSVC/5vjeDWGJSn7C9k5GE\nwo44JQPGegHvp/Jv4KDewjN++TO9Z2nhqlXW8Q7NHQVyytzPXDLFYDTMuYkJPvAT/4ZH/8X7eO4n\n/pwHBt/ARPsUWztDQEBQehCfvoS4IuvuwluZ6k4wWtrKb/2rH7/KT8IYY4wxxpgbkwW8GyzoBbyZ\ny6gEbZJ8MXh8qb6fvzzx2+sKeivEdEh4KL+NXfnFe/QO9Pr/7tgyjcPzot4CwK5en9lWWWiW4I/e\nvvgr4jRjYO4lBEVchWY6R2e+F+/f//X6b3qTCF0R8ObSZrAVsCNMOR6F3Nmr0PykvweA/boY8Hrg\n/u7a63gVYXjmMBDggq3MptOMlLZy9le+xLfF38W9/a8l8V2emf0SXwue5ejkF3HRXsRV8fkJXDBY\nTGuOdnPOj1MOqpSz9a/PNsYYY4wxxiyygHeDhb3CSQlNamGTLCsC3kCF2fQcuWYcb724rnOVe0Hv\n29MH1qzwPK82WwRttaGEjICjup0c2JotTqUupfA3+4TDO4qfBYjyDuV20WanmTdo5y0qQY0DH/vM\nJdz15hD1Mrxp0Ga4odyqKQejiD1pSlNLPK+3AvCsv23hmAy4c0mlZli+jtdLwMDcUUQEcWXO+JME\nEtDKWnx19h/4VPZJDibP8cLU3zFz8mvF8eV9+HwGF97SO6PDBTs5FZ8FYHt35ZRoY4wxxhhjzMVZ\nwLvBQumt4e1O0B/VyXsZ3khDmtksAMcbz6/7fCUiYkLelt6/2CB2FeUZRdRDv0NxnNBteGBs17BF\nFAAAIABJREFUScDbKQlxSlHAasmxI9PPo+pp5SntvEk5qNLtXn+9eCMXkfqEVtxktJGzK885HRZf\nQTzt7yInoEZ7IfsNxRreu9LlAa8XeH5hHe/yatbH6w0+OfPnPJ8f4NDU4zROfJ0Tk08tHCvBFly4\nizx5DhfuKbaJQ1yVqVOv0MlbbAm2XeUnYYwxxhhjzI3JAt4NFhDgNae/OkNf2EB6Gd5Qg4WA91z3\nJO2svq7zCYJH2e1HeU1+y5rjnBdG9RztcvF+DSp4HFt661fnJSEc3SH8zb7FDObIzCHA0/JCiyYi\nApXz32HzK6Y0pzRKLYZ695244k/iSb0bwXOLTPCS7qDdy5gLMJZ7RpY8Jx8I0/3CmeEl1awbx1D1\nBOFO2jOHGD/7zKrXEJT2oZoiUkJk+Z9jrXwfU92iH++f/v7/d+UfgDHGGGOMMTc4C3g3WEBIrhl5\n4OkP6kRplZScssS00lnGykXQery5vmnNULQrapPwxuwuRn3/muPGsnPMxIvVllpaYVu2POBVJ9Ta\nRQErL4AqA3MvAQFtqjSCYn1xX7Z6r9nNLHIxqSbMVhoMB0WGerAXyD7p72GvnGROq3jcwvTmeXtX\n68e7Z/HPaXj2MOCR4EJVlmOC+D7y5CBBfP+yPaoZLtzNuXSc/miQU/tfuLybNMYYY4wx5iZmAe8G\nCyQk0wzvoD9oUE5qtCUhypRUE0ZKOwgk5Fhz/dOaoShilZHzzvQ1C5WgzzfanWbCbUV7E5YndYAt\neY7T5XOhmxWhXhVe3gYOT7k7Q5Q2i4A36gLQl19/rYniXtGquWrOliCjJcKONCVX4Wv+Lt4gBzlF\nUTX5gL9j2bH3nxfwhpny7G1FFny+mrVIiARjwOrPPyjdj0iM+knEnV/p2uHCnYzH4wBsTS5eiMwY\nY4wxxhiznAW8G8xJQO4z0jCkKi36uv206eLTooqyiJBrxmT3FK1s7pLOHREwoBUeye5Zdf9gq0lX\nymzpK6ZLn9IthMBI7lcdv//2xV+XwbmjdLSKuGINclWvr4D33MQEkYvJNKFehR1hypEoYm+a8aLe\nQoMq29wM4AjJOKC3LxybAncnK9fxvrBkHe9A/WVQRSToBb0rBaV9+OwMQXQXAOJzbjn+10RJo7eO\nt4/TEyfJfMoYto7XGGOMMcaYS2UB7wYLJSDXnDQsU6FDf2eYliSkWROANO8ujL2Uac0ADkdCxt35\njlVbFfU3OgBsGZ0lIOdlLYKqbfnKAlRRupjB9OLYMvUsGSHvcu8i8V2q7voKeL/86KdxEpBowlwV\nbnddDscR2/Ocp/zdAMzqYtb1Bb98PfTr2x1kSSb8/HW8cdqk3CmqWbtw54r3d+FuXDBKnh5EgqIM\n9raJJ9l75E/YdfrvF8ZV5/vxxmMceeG5K3b/xhhjjDHG3Aws4N1ggSvW8CZBhTJtBltjdEkXsrmp\nLzKJlzOtGYqqzQkZj2T34FSW7avMFutVy4M5DuWg7gbgG1udFedJQ3hxF2QOQBicPQoorbxBO2tS\nCa6vgPf0wUMApFIEvLdqynQQIsAT/h62Ms3zvli3mxFyUG8h7U0Nj4Cdec6bOt0V5z2wdB3vzKHe\nWtwdC9vEDRCU9hFW34n6NiLDRdEv9dx27LPFcVPFFxuqOS66lclkgsF4lM+8/wNX41EYY4wxxhhz\nw7KAd4M5ehleV6XkOwx1R8hcTjObJZCQTlYUhco1Y6p7muYlTmuGYmrzoFZ5MF9eeCmuQ6wd8lpM\nSsAT/h5mRfg/ZmbZe96UXUToxsLRHUUV4lrzDM4rraxDO29RDio89lefuuzncK1pvbi/hIRW7Oj3\nWqRmgaf83bzBHeQZvXNhfELEEd255Gf4/npj2TnP78c7PHOIYi3uDsLKNxMP/BClwf+dqPouICRt\nP05QuheAsbNPU2uN0ypvYXDuJVxeXJ8Ld/Bi6RCK8pruvVfnYRhjjDHGGHODsoB3g4UuLAJeKoSZ\nL9oUoTSzOarhAK18eYB7vHnp1XoFoUvK67Lb6fPlZdu3+Qka5X5AOK7bGPBKKsIvnp0i1JWNfPf3\nMpiCUkqmafmcdt6kEtY49Jefv+Rr2yhRWtxHVxKC0CFAX55xWkc4yRh3ymnalJcd8+ySdbwCvL3Z\nYmDJemfvFvvxgtI/93JvLe4AQen1qG+Ttb9I2vky+AZR9V2IRKDKnlc+Q6uylTTux2nG4NzRYv2v\nGyAZn+R48wi31fbyWz/541f92RhjjDHGGHOjsIB3gwUSkGtG6ioEaRE8CUIzm6UWDtJa0n83kJDj\njUuf1gzF1GZBeEt297Lto+kkk2GxvrdFmRn6iFW5N0n4kZnZZWOXruNVhP7GCdpei4A3qNHtrlz7\nu1mVfNFXtxuklF3x3Ptzz5O99bs5y6d/O3Ke8YsZ3wgoAd/VbC5s806Y7RNOjoJTT609QZg0yNNj\n5N3nEDdAWHkLUfkbcNHuhb67o5PP0t88ycmd38TA3Esowuj04ufsolvYHxwgkJDXtO+6Go/DGGOM\nMcaYG5IFvBsskJDc53TpI8iKICtQRyubpRL04Vnsi5trxlRyhmY6u9bpLkhRbvNj7M5HF7aNdOY4\nJ1sIpGizc0LHiIBZJ/zwzBz3dxfXqaYhHNoJaVBM2R2cOUxLHS2KoE8rKzPCm1WsEQCpS9mS55xz\njp29glUVurzkty8bH+BXFK5qifB9c8unNcPyatZDc0cJolsJyw/hgsGVF6LKnmOfpV0aKTLCFM92\naOpgb3eOC2+lfeYwJ1svcXvfvfzWe//lq7x7Y4wxxhhjbg4W8G6wQAJyMhJXRbMi6+hyT+I7REF5\n1WMup3gVQEhAl5RHsnsItPjoB5pNVALGhoqp08e0aKEz6JWOCL90dorY9wJZEdJIOLSzaL0zMv0C\nbY1phkXA25+VLuu6NkKsxbNOfMI2n3AiCtmdZjzp7+EhOcJXdXkmPCXkBb2VpbO8K6rck6bc111c\n7xxlyoE9i1nwYh3v2oZnDjI49xInd72VreeeBopn2984Tpi2AJCgWDv8rHuW2JW4t37Hmuczxhhj\njDHGLLKAd4MFUqzhTcIqPisqHfu0qJLsJFh1/OWs450XEzKgFR7KbwOgNlcEa8MjRdD6ii5WFK6o\nckea8n/NzCyeQJX9dwQIUG2fo+0r1KOiZ3At67vs67rWIoqAV+YajEnKyTCklEc8r7fyGvcSEwyf\nd4RQp8px3bpkC2TA/7SkeFXmin68HlAJGJg7esHr2PPKZ+jGA1Sap3E6P6W9WCM9NHMIkaDIDEsf\ns2ee50z7OHf23cf7/u2/fvUPwRhjjDHGmBucBbwbLHBRry1RBFmNDin0At4sX9n2JteM6WScRjqz\nYt96zBew2pfdRr+vUJ0pgqx4yBOQc7yX4QUIgDkn/NBsndd1imuKMniuN7PXaUaeK64XPNa4floT\nxRKTa0alMctOSZgKAp7xd5ET0Ccrn/u8A7pn2c858O2NJiVfPEd1QrMivLINRDP668dxebrquQZm\njzI8c5ATO9/Kjoknl+3zOEanv77ws4uKh/6cP0A5qHLH2TGMMcYYY4wxF2YB7wb64ucfXZzSHEQE\naY22JORZMZU19WsHXpc7rRmKAlYAr8tvJ0gcgzpDt1rB4TmlI8vGDnil4Ry/cHYKVElDOLIDuiF4\nCSkns3yTPEKSd6i46mVf07UWSkzqE1qlJlvznK44ntS7ETyn/PnZ3YKg7NflRaNKQL8q7261l23f\nf3tR+dlpTn/j2Krn2/PKZ0iiGqXuLE7z5TtFGJpeXMcbREVLqXMTBzjXOcPe2mv47+/71Uu/cWOM\nMcYYY24iFvBuoBeffAKAXHOy0FFKq7TokmZNnAR08taqxwUS8fWZLzLRPn7Z7y0IY74fgLF8gtl4\nkJSQUzq6Ymyf99yaZdydpCBCFgov7hZEcyrtSZpZe6FS8/UicjGp79IotRjLc0qqPOnvYa+cZP+S\n/rvLjiFbUbgKoC2ybFrz0mrWAEOzh1cc01c/zpap5zi5863sGP/Siv1Oc2rtCeJukcmXYHGq+fPp\nAWphPwMvrP2FiDHGGGOMMcYC3g3VmJoCICcjixyVpEZHEtppnWqwsgfvvFxTIhfz2PhHmGivnj28\nmADHoNYI1DHaneZsMAYIJ3SM89vvzv+SvLVdTGsWVQ7c7hCUvuZJ2j6jnbcoB1U+9xcfu6zrudaK\ngDdlrtxmLMupZjlf83fxOjnEQd296jEJIc+vEvDGqjzc6bI7LaYupyG8uAtygVxCBmeOABCmTUYn\nn+WOo3/OA1//PbKggss7BH71Kc8AI9Mv9tbxjuDCYt310YkvMJOc4+7Kg/zNp/7s1T4KY4wxxhhj\nblgW8G4g1y3WfWaSohFUuzUSyWhlc70evKsHvACdvEnkyjw2/lHG269c3vsjDGmN4XadhgxQCju0\nKTNN/8r3E/jG3rTdcMk63mprnFbuaectqmGNY5/7ymVdy7UWSUTqE5rlDrEq7WQHDarscNNo789i\nrH+GfW98BVloDSVMMMI5HVh2roCiSNU/qfd68orQKQlHdxTrnIdmDvGmr/x73voP72Xfgf/Krcc/\nRx6WOXTn97Lr9BcWzjNdg5/9wYDDvWSul4DRqWIdr/ouYfWdQEDZlXmhc4CBaJipT+6/eg/JGGOM\nMcaY65wFvBso8MXjz8gh9JTTfjLJaWazVMI+cs0ueHwnbxC5En8//jHG2y9f1jWM+n76G0UgOzJY\nBGwndMuKcSWFfd0uFe9JQzjaW8db6UzSUkfbNykHVdprFGjabOYzvJSFcRdyNi2mMc/q4jrkbQ80\n+PLII9yxc3zZsc/5PSvO1xXhuxtNgiXp8fl1vD6I6ZaGeeXWd/PSnm9nfOsbCLM29x78I8Ilhck+\n+G7Hi7uFzz80X51bGZw5BKogMS4YJii/AYAXJp9gLpnijf3fzKP/5/t4/NFPX5kHY4wxxhhjzA3E\nAt4NFPpinWcmOeWoS5z14VXp+hZxUFnXOTp5k9iVeWz845xpv3RJ7+9Rtmg/tbkisB4cKdYM/1H+\nrhVjBYiAN3U6IIJ3wpHtUGmfo60RLe1lN6NLuoQNE7mYVBOiOOdYFHIku4utTPO8L4pDKZ6X+ot+\nt31blq+VXW2Nb0WVrXnOI71p3+ev4x2oH+O2Y5/j9pc/zY7xJ6i2zyJLjt+/R/jC/Y4oVZ65vdjm\n1FNOZqm2JxAR1HcIy9+AuAEqKJ/JP82p1ivcN/g6Rj6d8MF/+VNX8AkZY4wxxhhz/bOAdwOFPgQg\nk4xq0KaU9qFpEVw5Wf9H084bxK7M35/5+CVNb1aUYa0Rz0KgGdEIDNDkj/N38on8LSvGZ8DbW711\nvF556m5HlMzR9jGNoAh4+7P1BeobrcjwJtRKKaejgK/ld/MGd5BnesHsXTvOMOmK1j/JQHnhuJiU\nZ/1tq54zBb61WWTL0xAO7YQ0gDhtEGXNNa8lCeAD73Fsn1L2jCvjw8KZJYWih6eLvsviyoAjrL4D\nAD1zgi9MfIy/rz9K4ELeVf1OHvvR3+FD//k3LvexGGOMMcYYc0MJN/oCbmahL6auZpJTDVuUsn40\n/f/Zu+/ouK77wOPfe9970wAMGtEBkmDvoqhKdVnNKo4cx44TJy7ZxHGTrbjEm+wmseMSe7OOSxLH\nWRfZiu1ove6OrS7ZalSlSIkSxQ6it8EAM4Npr9y7f7xhBdgkSpB17uecOSRevfOG0NFv7v39fkPh\nNnX85cxHKwXTxKwqHh79Ca9rexv10ZYTniMR1KtqZCCYp8cpxBJkqaKeLH/t/RnrxD4WykPLeRVw\nXmUG01KEM5hCoFyP6eow0KsKXv0B78P33MFCWY2nXZJRj4yuYpAm3ig2cQfnAZCYHyB1QIcaJBU7\n1PPWx2Knnlm4CkADFxYLCF2PFgLXCYPeVScopv2zjZKRBsGf36H4+uvDed+nF0uue0oRCJuGyRcY\n7Li0chOF5SwmsLtRfjijP5R6mr6GPs4T57GoZhXtvSWevvkHKB2gUAQ6QOmATJDmuq997KU9PMMw\nDMMwDMP4LfKyzfAKIW4RQowJIZ47bFuDEOIeIcTuyp/1le1CCPHPQog9QohnhRA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7oaJ/F6TiboHa/04y3isiboYo0/M+jt6s8C0Lok/LOMw1a1BA9Y6rrsbxHEiykC2cDjwz/hodQv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myz+WiBSkuI5ypkW5XFhq7Q9VEvQDwXR8ARxUnfJwdwHMF1XTzXJRAhEMF3XDp+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\n/wm26aGHrdLIWwAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7eff746d7780>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"ibvh_example_data = tsi.loc[(tsi.index > '2017-05-04') & (tsi.index < '2017-05-011')]\n",
"ibvh_example = ibvh_example_data.groupby(by=('veepID')).resample('1h').eventID.count().swaplevel()\n",
"fig = ibvh_example.unstack().fillna(0).plot.area(stacked=True, legend=False, figsize=(16,8))\n",
"fig.axes.yaxis.label.set_text(\"Impressions per hour\")\n",
"fig.axes.xaxis.label.set_text('Time ({})'.format(client_timezone))"
]
},
{
"cell_type": "code",
"execution_count": 225,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
"impressions.loc[:,'time_after_veep_creation'] = impressions['timestamp'] - impressions['veep_created'].astype('<M8[ns]')"
]
},
{
"cell_type": "code",
"execution_count": 226,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Timezones of spurious event times\n"
]
},
{
"data": {
"text/plain": [
"-5.0 70\n",
"-7.0 19\n",
"-4.0 1\n",
"Name: timezone, dtype: int64"
]
},
"execution_count": 226,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"td_range = pd.timedelta_range('-2d', '25d')\n",
"td_range\n",
"\n",
"impressions.time_after_veep_creation\n",
"#t = impressions.set_index('time_after_veep_creation').resample('1D', closed='left', loffset='0s', label='left').eventID.count()/veep_ids.shape[0]\n",
"\n",
"#f = df.set_index('time_after_veep_creation') #.resample('D',).eventID.count()\n",
"#f = impressions.set_index('time_after_veep_creation')\n",
"#\n",
"#f.resample('1d', base=-2).eventID.count()\n",
"\n",
"# Resampling doesn't quite work the way I want when we resample a TimeDeltaIndex, so we'll crudely convert them to epoch times and resample, ignoring leap seconds (24h != 1D)\n",
"\n",
"def zerotime(index):\n",
" return pd.Series(0, index=index).astype('<M8[ns]')\n",
"\n",
"impressions['time_after_veep_creation0'] = impressions['time_after_veep_creation'] + zerotime(impressions.index)\n",
"#impressions.set_index('time_after_veep_creation') \n",
"ct_day = impressions.set_index('time_after_veep_creation0').resample('1D', closed='left', loffset='0s', label='left').eventID.count()/veep_ids.shape[0]\n",
"ct_hour = impressions.set_index('time_after_veep_creation0').resample('1h', closed='left', loffset='0s', label='left').eventID.count()/veep_ids.shape[0]\n",
"\n",
"ct_day.index = ct_day.index - zerotime(ct_day.index)\n",
"ct_hour.index = ct_hour.index - zerotime(ct_hour.index)\n",
"\n",
"from datetime import timedelta\n",
"\n",
"print(\"Timezones of spurious event times\")\n",
"\n",
"(impressions[impressions['time_after_veep_creation'] < timedelta(0, 0)].timezone/3600).value_counts()\n"
]
},
{
"cell_type": "code",
"execution_count": 227,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"consumerID of spurious event times\n"
]
},
{
"data": {
"text/plain": [
"uuid:5FBC6D73-9DF1-4687-BA1F-FF8768D74653 70\n",
"uuid:021184C8-6BF6-4D36-AAE7-FC909C05F46F 19\n",
"uuid:1AEF8F74-F56E-4FBE-B4DE-27D36B5D1A80 1\n",
"Name: consumerID, dtype: int64"
]
},
"execution_count": 227,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"print(\"consumerID of spurious event times\")\n",
"\n",
"(impressions[impressions['time_after_veep_creation'] < timedelta(0, 0)].consumerID).value_counts()"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"# VEEPIO impressions over content lifetime\n",
"\n",
"The graph below shows the mean number of times VEEP'd content is seen for each day after the content is VEEP'd. If the content is VEEP'd immediately after it begins to appear in the app, then the bars represent the average number of times each piece of content is seen for each day of its lifetime. Nearly all the impressions occur in the first 24 hours."
]
},
{
"cell_type": "code",
"execution_count": 228,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"data": {
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A2S0TUE9K8oYkP9zdn01y6/gcWwAAAA4Qy6yK/KUkn0ryoGno2iQfnrMoAAAAWNYyqyI/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\nRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7eff7474bc88>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"ax = ct_day[(ct_day.index < '10 days') & (ct_day.index >= '0 days')].plot.bar(figsize=(16,8), label='Impressions per day of VEEP lifetime')\n",
"\n",
"#import matplotlib.dates\n",
"#ax.xaxis.set_major_locator(DayLocator())\n",
"#ax.xaxis.set_major_formatter(matplotlib.dates.\n",
"\n",
"ax.yaxis.label.set_text(\"Impressions per day\")\n",
"ax.xaxis.label.set_text('Time since VEEP distribution'.format(client_timezone))\n",
"\n",
"ax.xaxis.set_major_formatter(FuncFormatter(lambda y, _: 'Day {}'.format(int(y))))\n"
]
},
{
"cell_type": "code",
"execution_count": 229,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"data": {
"image/png": 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HQrGdQkNZVJLU0kuxBQAAAIBcRLGdQn1ZRJLUyootAAAAAOQkiu0UquMRBQPG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\nuw7wpdt3sneuzembmtSzjN3755e1j1o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6kt4P/JWKefU/Av5rebsx9so8zthOcf2Db5dS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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7eff75dde160>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"#from matplotlib.dates import DayLocator\n",
"\n",
"ax = ct_hour[(ct_hour.index < '10 days') & (ct_hour.index >= '0 days')].plot(figsize=(16,8))\n",
"start, end = ax.get_xlim()\n",
"\n",
"# Make ticks regular\n",
"ax.xaxis.set_ticks(np.arange(start, end, nanoseconds_per_day))\n",
"\n",
"ax.yaxis.label.set_text(\"Impressions per hour\")\n",
"ax.xaxis.label.set_text('Time since VEEP distribution'.format(client_timezone))\n",
"\n",
"\n",
"ax.xaxis.set_major_formatter(FuncFormatter(lambda y, _: 'Day {}'.format(int(y/nanoseconds_per_day))))\n",
"\n",
"#ax.xaxis.set_major_locator(DayLocator())\n",
"#start, end\n",
"None"
]
},
{
"cell_type": "markdown",
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"source": [
"# Estimating coverage of consumers\n",
"\n",
"DO NOT USE YET\n",
"\n",
"I tried extrapolating the number of consumers using `(1-e(-cx))` to estimate the maximum number of consumers available in the Eagles app. It didn't work but a similar approach might. Emmett might have some ideas."
]
},
{
"cell_type": "code",
"execution_count": 230,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style>\n",
" .dataframe thead tr:only-child th {\n",
" text-align: right;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: left;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>appID</th>\n",
" <th>appVersion</th>\n",
" <th>consumerID</th>\n",
" <th>deviceType</th>\n",
" <th>duration</th>\n",
" <th>email</th>\n",
" <th>eventID</th>\n",
" <th>eventName</th>\n",
" <th>ipAddressDevice</th>\n",
" <th>ipAddressNetwork</th>\n",
" <th>...</th>\n",
" <th>sdkVersion</th>\n",
" <th>timestamp</th>\n",
" <th>timezone</th>\n",
" <th>trackID</th>\n",
" <th>url</th>\n",
" <th>veepID</th>\n",
" <th>x</th>\n",
" <th>y</th>\n",
" <th>client_local_timestamp</th>\n",
" <th>veep_created</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>PhiladelphiaEagles</td>\n",
" <td>{'version': '0.2.0', 'bundleID': 'io.veep.view...</td>\n",
" <td>uuid:D57F2EEA-1781-422E-AB18-22B1928BA2FA</td>\n",
" <td>x86_64</td>\n",
" <td>NaN</td>\n",
" <td>email_not_set</td>\n",
" <td>A41449A4-04D6-4653-9916-004227361E6A</td>\n",
" <td>previewVeepView</td>\n",
" <td>NaN</td>\n",
" <td>0.0.0.0</td>\n",
" <td>...</td>\n",
" <td>{'version': '2.4.35', 'bundleID': 'org.cocoapo...</td>\n",
" <td>2017-04-13 21:20:49.414084000</td>\n",
" <td>3600</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>1674</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>2017-04-13 16:20:49.414084-05:00</td>\n",
" <td>2017-04-13 20:59:33.483200+00:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>PhiladelphiaEagles</td>\n",
" <td>{'version': '0.2.0', 'bundleID': 'io.veep.view...</td>\n",
" <td>uuid:92A0F2D9-42AF-4895-9E53-409F8FEDE84C</td>\n",
" <td>iPhone8,4</td>\n",
" <td>NaN</td>\n",
" <td>email_not_set</td>\n",
" <td>C0170BE5-F64E-4C02-9447-64FA9EF9A208</td>\n",
" <td>previewVeepView</td>\n",
" <td>NaN</td>\n",
" <td>0.0.0.0</td>\n",
" <td>...</td>\n",
" <td>{'version': '2.4.35', 'bundleID': 'org.cocoapo...</td>\n",
" <td>2017-04-13 21:37:07.050292000</td>\n",
" <td>3600</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>1674</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>2017-04-13 16:37:07.050292-05:00</td>\n",
" <td>2017-04-13 20:59:33.483200+00:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>36</th>\n",
" <td>PhiladelphiaEagles</td>\n",
" <td>{'version': '0.2.0', 'bundleID': 'io.veep.view...</td>\n",
" <td>uuid:76111082-DB31-4BA4-BFF7-D27BC6772B3B</td>\n",
" <td>iPhone9,4</td>\n",
" <td>NaN</td>\n",
" <td>email_not_set</td>\n",
" <td>8D163490-8479-47F3-B006-CAAD760EE8AA</td>\n",
" <td>previewVeepView</td>\n",
" <td>NaN</td>\n",
" <td>0.0.0.0</td>\n",
" <td>...</td>\n",
" <td>{'version': '2.4.35', 'bundleID': 'org.cocoapo...</td>\n",
" <td>2017-04-13 22:10:39.617872000</td>\n",
" <td>-14400</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>1680</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>2017-04-13 17:10:39.617872-05:00</td>\n",
" <td>2017-04-13 22:04:50.817368+00:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64</th>\n",
" <td>PhiladelphiaEagles</td>\n",
" <td>{'version': '0.2.0', 'bundleID': 'io.veep.view...</td>\n",
" <td>uuid:2D764178-7EFC-4C8A-89BF-809A7B9BFADA</td>\n",
" <td>iPhone8,2</td>\n",
" <td>NaN</td>\n",
" <td>email_not_set</td>\n",
" <td>6A2FB688-8731-4188-92B9-66A395FA5405</td>\n",
" <td>previewVeepView</td>\n",
" <td>NaN</td>\n",
" <td>0.0.0.0</td>\n",
" <td>...</td>\n",
" <td>{'version': '2.4.35', 'bundleID': 'org.cocoapo...</td>\n",
" <td>2017-04-13 22:49:33.066077000</td>\n",
" <td>-14400</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>1681</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>2017-04-13 17:49:33.066077-05:00</td>\n",
" <td>2017-04-13 22:16:45.973591+00:00</td>\n",
" </tr>\n",
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" <td>2017-04-18 09:25:06.523629-05:00</td>\n",
" <td>2017-04-18 14:18:16.309547+00:00</td>\n",
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" <th>593</th>\n",
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" <td>{'version': '2.4.34', 'bundleID': 'io.veep.VPK...</td>\n",
" <td>2017-04-18 17:56:47.833202000</td>\n",
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" <td>2017-04-18 12:56:47.833202-05:00</td>\n",
" <td>2017-04-18 14:18:16.309547+00:00</td>\n",
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" <th>640</th>\n",
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" <td>2017-04-20 06:01:31.945026-05:00</td>\n",
" <td>2017-04-18 16:19:26.236916+00:00</td>\n",
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" <tr>\n",
" <th>690</th>\n",
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" <td>{'version': '2.4.35', 'bundleID': 'org.cocoapo...</td>\n",
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" <td>2017-04-21 12:33:34.297367-05:00</td>\n",
" <td>2017-04-18 16:19:26.236916+00:00</td>\n",
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" <th>993</th>\n",
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" <td>8F209BBD-A69D-4BFC-85D9-85A4A8B0C87F</td>\n",
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" <td>{'version': '2.4.34', 'bundleID': 'io.veep.VPK...</td>\n",
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" <td>2017-04-26 16:27:15.242268-05:00</td>\n",
" <td>2017-04-25 20:22:07.695048+00:00</td>\n",
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" <th>1031</th>\n",
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" <td>4CE98ECE-F6B2-494B-AD06-40DB41F05D70</td>\n",
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" <td>{'version': '2.4.34', 'bundleID': 'io.veep.VPK...</td>\n",
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" <td>2017-04-26 17:43:26.442782-05:00</td>\n",
" <td>2017-04-25 20:22:07.695048+00:00</td>\n",
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" <td>email_not_set</td>\n",
" <td>81E14E24-22F2-4929-AA70-36A71C093187</td>\n",
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" <td>{'version': '2.4.34', 'bundleID': 'io.veep.VPK...</td>\n",
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" <td>2017-04-26 18:04:16.079326-05:00</td>\n",
" <td>2017-04-18 14:18:16.309547+00:00</td>\n",
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" <th>1174</th>\n",
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" <td>{'version': '2.4.34', 'bundleID': 'io.veep.VPK...</td>\n",
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" <td>2E1BB37D-A959-4A87-A769-E25BD04B0DB4</td>\n",
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" <td>2017-04-18 14:28:18.064525+00:00</td>\n",
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" <td>2017-04-18 14:28:18.064525+00:00</td>\n",
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" <td>4137C0EC-11C1-402F-8ADB-0D95EC2F0B21</td>\n",
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" <td>2017-06-14 16:15:25.507132000</td>\n",
" <td>-18000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>3150</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>2017-06-14 11:15:25.507132-05:00</td>\n",
" <td>2017-06-14 14:03:58.594949+00:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1295438</th>\n",
" <td>PhiladelphiaEagles</td>\n",
" <td>{'version': '3.1.0', 'bundleID': 'com.yinzcam....</td>\n",
" <td>uuid:B2E320A3-802A-4760-923E-3B2D23AB22BA</td>\n",
" <td>iPhone9,2</td>\n",
" <td>NaN</td>\n",
" <td>email_not_set</td>\n",
" <td>B2E320A3-802A-4760-923E-3B2D23AB22BA</td>\n",
" <td>previewVeepView</td>\n",
" <td>NaN</td>\n",
" <td>0.0.0.0</td>\n",
" <td>...</td>\n",
" <td>{'version': '2.4.34', 'bundleID': 'io.veep.VPK...</td>\n",
" <td>2017-06-14 16:53:21.641648000</td>\n",
" <td>-14400</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>3150</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>2017-06-14 11:53:21.641648-05:00</td>\n",
" <td>2017-06-14 14:03:58.594949+00:00</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>14988 rows × 22 columns</p>\n",
"</div>"
],
"text/plain": [
" appID \\\n",
"0 PhiladelphiaEagles \n",
"3 PhiladelphiaEagles \n",
"36 PhiladelphiaEagles \n",
"64 PhiladelphiaEagles \n",
"428 PhiladelphiaEagles \n",
"593 PhiladelphiaEagles \n",
"640 PhiladelphiaEagles \n",
"690 PhiladelphiaEagles \n",
"993 PhiladelphiaEagles \n",
"1031 PhiladelphiaEagles \n",
"1118 PhiladelphiaEagles \n",
"1174 PhiladelphiaEagles \n",
"1259 PhiladelphiaEagles \n",
"1262 PhiladelphiaEagles \n",
"1360 PhiladelphiaEagles \n",
"1396 PhiladelphiaEagles \n",
"1401 PhiladelphiaEagles \n",
"1430 PhiladelphiaEagles \n",
"1446 PhiladelphiaEagles \n",
"1465 PhiladelphiaEagles \n",
"1559 PhiladelphiaEagles \n",
"1649 PhiladelphiaEagles \n",
"1777 PhiladelphiaEagles \n",
"1921 PhiladelphiaEagles \n",
"1929 PhiladelphiaEagles \n",
"1953 PhiladelphiaEagles \n",
"2033 PhiladelphiaEagles \n",
"2049 PhiladelphiaEagles \n",
"2061 PhiladelphiaEagles \n",
"2101 PhiladelphiaEagles \n",
"... ... \n",
"1287258 PhiladelphiaEagles \n",
"1287381 PhiladelphiaEagles \n",
"1287417 PhiladelphiaEagles \n",
"1287498 PhiladelphiaEagles \n",
"1287650 PhiladelphiaEagles \n",
"1288141 PhiladelphiaEagles \n",
"1288382 PhiladelphiaEagles \n",
"1289040 PhiladelphiaEagles \n",
"1289314 PhiladelphiaEagles \n",
"1289370 PhiladelphiaEagles \n",
"1289392 PhiladelphiaEagles \n",
"1289641 PhiladelphiaEagles \n",
"1290407 PhiladelphiaEagles \n",
"1290480 PhiladelphiaEagles \n",
"1290595 PhiladelphiaEagles \n",
"1290598 PhiladelphiaEagles \n",
"1290879 PhiladelphiaEagles \n",
"1290909 PhiladelphiaEagles \n",
"1291065 PhiladelphiaEagles \n",
"1291138 PhiladelphiaEagles \n",
"1291800 PhiladelphiaEagles \n",
"1291943 PhiladelphiaEagles \n",
"1291983 PhiladelphiaEagles \n",
"1292123 PhiladelphiaEagles \n",
"1292788 PhiladelphiaEagles \n",
"1292832 PhiladelphiaEagles \n",
"1293436 PhiladelphiaEagles \n",
"1293760 PhiladelphiaEagles \n",
"1294499 PhiladelphiaEagles \n",
"1295438 PhiladelphiaEagles \n",
"\n",
" appVersion \\\n",
"0 {'version': '0.2.0', 'bundleID': 'io.veep.view... \n",
"3 {'version': '0.2.0', 'bundleID': 'io.veep.view... \n",
"36 {'version': '0.2.0', 'bundleID': 'io.veep.view... \n",
"64 {'version': '0.2.0', 'bundleID': 'io.veep.view... \n",
"428 {'version': '3.0.4', 'bundleID': 'com.yinzcam.... \n",
"593 {'version': '3.0.4', 'bundleID': 'com.yinzcam.... \n",
"640 {'version': '0.2.0', 'bundleID': 'io.veep.view... \n",
"690 {'version': '0.2.0', 'bundleID': 'io.veep.view... \n",
"993 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"1031 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"1118 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"1174 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"1259 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"1262 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"1360 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"1396 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"1401 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"1430 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"1446 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"1465 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"1559 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"1649 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"1777 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"1921 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"1929 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"1953 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"2033 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"2049 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"2061 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"2101 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"... ... \n",
"1287258 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"1287381 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"1287417 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"1287498 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"1287650 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"1288141 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"1288382 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"1289040 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"1289314 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"1289370 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"1289392 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"1289641 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"1290407 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"1290480 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"1290595 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"1290598 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"1290879 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"1290909 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"1291065 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"1291138 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"1291800 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"1291943 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"1291983 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"1292123 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"1292788 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"1292832 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"1293436 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"1293760 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"1294499 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"1295438 {'version': '3.1.0', 'bundleID': 'com.yinzcam.... \n",
"\n",
" consumerID deviceType duration \\\n",
"0 uuid:D57F2EEA-1781-422E-AB18-22B1928BA2FA x86_64 NaN \n",
"3 uuid:92A0F2D9-42AF-4895-9E53-409F8FEDE84C iPhone8,4 NaN \n",
"36 uuid:76111082-DB31-4BA4-BFF7-D27BC6772B3B iPhone9,4 NaN \n",
"64 uuid:2D764178-7EFC-4C8A-89BF-809A7B9BFADA iPhone8,2 NaN \n",
"428 uuid:38CF0C71-7820-4F3F-8C64-82CAC5562A13 iPhone9,4 NaN \n",
"593 uuid:643511C9-AF54-4FAC-B6E1-94AEFB069763 iPhone8,4 NaN \n",
"640 uuid:6F004143-61D6-4663-A5CA-39AF9B85722A iPhone7,1 NaN \n",
"690 uuid:F25A6470-93E5-4D6C-AA8E-407E3E2CFAD3 iPhone8,4 NaN \n",
"993 uuid:8F209BBD-A69D-4BFC-85D9-85A4A8B0C87F iPhone7,1 NaN \n",
"1031 uuid:4CE98ECE-F6B2-494B-AD06-40DB41F05D70 iPhone9,4 NaN \n",
"1118 uuid:81E14E24-22F2-4929-AA70-36A71C093187 iPhone9,2 NaN \n",
"1174 uuid:6E861877-0B82-419C-9E45-B5D530B4946E iPhone7,2 NaN \n",
"1259 uuid:2E1BB37D-A959-4A87-A769-E25BD04B0DB4 iPhone9,4 NaN \n",
"1262 uuid:5A27A6D4-10AC-4A62-ADEA-96A7E07138D0 iPhone7,1 NaN \n",
"1360 uuid:E679C26D-A62C-4765-B043-CFDFA1DB282E iPhone9,3 NaN \n",
"1396 uuid:4137C0EC-11C1-402F-8ADB-0D95EC2F0B21 iPhone7,2 NaN \n",
"1401 uuid:5A4B2F56-C3E2-4F53-9587-57F1B39017DA iPhone9,2 NaN \n",
"1430 uuid:93058F34-DF15-40F4-9B6B-6707EB3FD721 iPhone8,4 NaN \n",
"1446 uuid:319CEBD6-65A2-40BB-ADD3-39A6A272FBDD iPhone9,2 NaN \n",
"1465 uuid:23E951CC-827B-4A19-8B3F-9E5BD86EC8E2 iPad6,11 NaN \n",
"1559 uuid:1BDA16F7-6F1E-4638-A3C4-0F8F1DEA751F iPhone8,1 NaN \n",
"1649 uuid:C1AF58B6-08E4-4327-A1B8-A800CA5080D0 iPhone9,1 NaN \n",
"1777 uuid:D25A1699-6FF3-4CC9-B800-8D8B5709FFBA iPhone9,4 NaN \n",
"1921 uuid:8D59AB41-ABA1-4D28-8006-9EE1DC4482BC iPhone9,1 NaN \n",
"1929 uuid:E8D0200C-171C-4D7B-9267-37D71E87920D iPhone9,3 NaN \n",
"1953 uuid:1D3D37FB-E205-42C9-AD8F-5CAE648A2DA1 iPhone8,1 NaN \n",
"2033 uuid:28781F19-24D2-4DFA-8572-E0B7F0D14820 iPhone9,3 NaN \n",
"2049 uuid:AD1CA063-B862-41B5-9A78-7028EC9E9441 iPhone8,2 NaN \n",
"2061 uuid:1D364C5E-3A25-4B3A-A1EA-5E0C48CE1513 iPhone9,2 NaN \n",
"2101 uuid:2B214F72-98A1-46E0-9C95-15A662A0405C iPhone7,2 NaN \n",
"... ... ... ... \n",
"1287258 uuid:3D42DDD9-879B-4F2E-B1AB-9629A8DE8071 iPhone9,2 NaN \n",
"1287381 uuid:D18FA93E-8925-47AF-A45F-5975694AAC0F iPhone9,1 NaN \n",
"1287417 uuid:0CF218B0-2156-4F49-94FB-2FB36D2F7F06 iPhone6,1 NaN \n",
"1287498 uuid:7F8018BA-637F-4AA2-BC05-C51E12DE7144 iPhone8,2 NaN \n",
"1287650 uuid:A6E4EA6D-6C84-4409-9B42-F467F25AB6B4 iPhone7,2 NaN \n",
"1288141 uuid:0CE2CE10-8171-47E6-A9A6-B8A943DA6376 iPhone7,2 NaN \n",
"1288382 uuid:F8D21EA1-10C8-416A-9F82-99E532B6DAEA iPhone9,2 NaN \n",
"1289040 uuid:C29F30E8-963F-4B4E-8899-DCDFBBEE3EE1 iPhone8,4 NaN \n",
"1289314 uuid:E7D1DBDE-9AA6-42D4-8AAC-CF53F8935BA4 iPod7,1 NaN \n",
"1289370 uuid:E86CB09F-CFDD-4704-8091-DF1E3E233CB3 iPhone8,1 NaN \n",
"1289392 uuid:5322DAD5-2C42-4D86-BE6E-687207F4D3D9 iPhone9,4 NaN \n",
"1289641 uuid:A7D9B30C-8217-49E4-A97C-91F723751D22 iPhone9,3 NaN \n",
"1290407 uuid:F4ABD80C-00B3-4E53-98CB-8DF0EBFC3CDA iPhone7,2 NaN \n",
"1290480 uuid:32958037-4A90-47ED-B693-6C167EE8B627 iPhone9,3 NaN \n",
"1290595 uuid:087746B5-781D-4EE1-9ECF-F8E7BD3085D5 iPhone7,2 NaN \n",
"1290598 uuid:145DF878-B8E9-41EB-BC94-41DEC9A76AB8 iPhone7,2 NaN \n",
"1290879 uuid:171904EC-5A08-4400-85E4-D7BD3D139B06 iPhone7,2 NaN \n",
"1290909 uuid:F6F99312-10AD-4352-AC5E-9A89A020809F iPhone8,1 NaN \n",
"1291065 uuid:C82DB893-BFA3-4332-A9D4-9A365577651C iPhone9,3 NaN \n",
"1291138 uuid:ECE727A6-1190-4838-A3F5-409523034133 iPhone9,4 NaN \n",
"1291800 uuid:25AEC603-8F76-41DE-A2D5-2CBD65794AC2 iPhone7,2 NaN \n",
"1291943 uuid:830754AD-CADA-4806-8959-64BD52953B54 iPhone9,1 NaN \n",
"1291983 uuid:D850568A-3E2C-42E1-8651-248996E6D6AA iPhone8,1 NaN \n",
"1292123 uuid:94ABD2FE-CC19-4F0B-B74C-BFA69159595A iPhone8,1 NaN \n",
"1292788 uuid:105C9351-CF1C-4B6A-B75F-9C9485E1E102 iPhone7,2 NaN \n",
"1292832 uuid:D2CDD3C7-8925-45F9-A2DC-413C85B62D2A iPhone6,1 NaN \n",
"1293436 uuid:EBC63B60-0CD4-42F3-B058-A5E5B1BBACCF iPhone7,2 NaN \n",
"1293760 uuid:B4BE0B11-E424-4D74-9891-9004050CBC23 iPhone9,1 NaN \n",
"1294499 uuid:1AD1658F-9762-49C1-BBEA-1AF9BD8F1FE1 iPhone9,3 NaN \n",
"1295438 uuid:B2E320A3-802A-4760-923E-3B2D23AB22BA iPhone9,2 NaN \n",
"\n",
" email eventID eventName \\\n",
"0 email_not_set A41449A4-04D6-4653-9916-004227361E6A previewVeepView \n",
"3 email_not_set C0170BE5-F64E-4C02-9447-64FA9EF9A208 previewVeepView \n",
"36 email_not_set 8D163490-8479-47F3-B006-CAAD760EE8AA previewVeepView \n",
"64 email_not_set 6A2FB688-8731-4188-92B9-66A395FA5405 previewVeepView \n",
"428 email_not_set 38CF0C71-7820-4F3F-8C64-82CAC5562A13 previewVeepView \n",
"593 email_not_set 643511C9-AF54-4FAC-B6E1-94AEFB069763 previewVeepView \n",
"640 email_not_set 2C5BFEC5-EBC1-4C52-B13E-B4887C0E7E3E previewVeepView \n",
"690 email_not_set 13F5B9E9-C48A-405A-AAE3-6D7D2FCF226A previewVeepView \n",
"993 email_not_set 8F209BBD-A69D-4BFC-85D9-85A4A8B0C87F previewVeepView \n",
"1031 email_not_set 4CE98ECE-F6B2-494B-AD06-40DB41F05D70 previewVeepView \n",
"1118 email_not_set 81E14E24-22F2-4929-AA70-36A71C093187 previewVeepView \n",
"1174 email_not_set 6E861877-0B82-419C-9E45-B5D530B4946E previewVeepView \n",
"1259 email_not_set 2E1BB37D-A959-4A87-A769-E25BD04B0DB4 previewVeepView \n",
"1262 email_not_set 5A27A6D4-10AC-4A62-ADEA-96A7E07138D0 previewVeepView \n",
"1360 email_not_set E679C26D-A62C-4765-B043-CFDFA1DB282E previewVeepView \n",
"1396 email_not_set 4137C0EC-11C1-402F-8ADB-0D95EC2F0B21 previewVeepView \n",
"1401 email_not_set 5A4B2F56-C3E2-4F53-9587-57F1B39017DA previewVeepView \n",
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"1777 email_not_set D25A1699-6FF3-4CC9-B800-8D8B5709FFBA previewVeepView \n",
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"2101 email_not_set 2B214F72-98A1-46E0-9C95-15A662A0405C previewVeepView \n",
"... ... ... ... \n",
"1287258 email_not_set 3D42DDD9-879B-4F2E-B1AB-9629A8DE8071 previewVeepView \n",
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"1293760 email_not_set B4BE0B11-E424-4D74-9891-9004050CBC23 previewVeepView \n",
"1294499 email_not_set 1AD1658F-9762-49C1-BBEA-1AF9BD8F1FE1 previewVeepView \n",
"1295438 email_not_set B2E320A3-802A-4760-923E-3B2D23AB22BA previewVeepView \n",
"\n",
" ipAddressDevice ipAddressNetwork ... \\\n",
"0 NaN 0.0.0.0 ... \n",
"3 NaN 0.0.0.0 ... \n",
"36 NaN 0.0.0.0 ... \n",
"64 NaN 0.0.0.0 ... \n",
"428 NaN 0.0.0.0 ... \n",
"593 NaN 0.0.0.0 ... \n",
"640 NaN 0.0.0.0 ... \n",
"690 NaN 0.0.0.0 ... \n",
"993 NaN 0.0.0.0 ... \n",
"1031 NaN 0.0.0.0 ... \n",
"1118 NaN 0.0.0.0 ... \n",
"1174 NaN 0.0.0.0 ... \n",
"1259 NaN 0.0.0.0 ... \n",
"1262 NaN 0.0.0.0 ... \n",
"1360 NaN 0.0.0.0 ... \n",
"1396 NaN 0.0.0.0 ... \n",
"1401 NaN 0.0.0.0 ... \n",
"1430 NaN 0.0.0.0 ... \n",
"1446 NaN 0.0.0.0 ... \n",
"1465 NaN 0.0.0.0 ... \n",
"1559 NaN 0.0.0.0 ... \n",
"1649 NaN 0.0.0.0 ... \n",
"1777 NaN 0.0.0.0 ... \n",
"1921 NaN 0.0.0.0 ... \n",
"1929 NaN 0.0.0.0 ... \n",
"1953 NaN 0.0.0.0 ... \n",
"2033 NaN 0.0.0.0 ... \n",
"2049 NaN 0.0.0.0 ... \n",
"2061 NaN 0.0.0.0 ... \n",
"2101 NaN 0.0.0.0 ... \n",
"... ... ... ... \n",
"1287258 NaN 0.0.0.0 ... \n",
"1287381 NaN 0.0.0.0 ... \n",
"1287417 NaN 0.0.0.0 ... \n",
"1287498 NaN 0.0.0.0 ... \n",
"1287650 NaN 0.0.0.0 ... \n",
"1288141 NaN 0.0.0.0 ... \n",
"1288382 NaN 0.0.0.0 ... \n",
"1289040 NaN 0.0.0.0 ... \n",
"1289314 NaN 0.0.0.0 ... \n",
"1289370 NaN 0.0.0.0 ... \n",
"1289392 NaN 0.0.0.0 ... \n",
"1289641 NaN 0.0.0.0 ... \n",
"1290407 NaN 0.0.0.0 ... \n",
"1290480 NaN 0.0.0.0 ... \n",
"1290595 NaN 0.0.0.0 ... \n",
"1290598 NaN 0.0.0.0 ... \n",
"1290879 NaN 0.0.0.0 ... \n",
"1290909 NaN 0.0.0.0 ... \n",
"1291065 NaN 0.0.0.0 ... \n",
"1291138 NaN 0.0.0.0 ... \n",
"1291800 NaN 0.0.0.0 ... \n",
"1291943 NaN 0.0.0.0 ... \n",
"1291983 NaN 0.0.0.0 ... \n",
"1292123 NaN 0.0.0.0 ... \n",
"1292788 NaN 0.0.0.0 ... \n",
"1292832 NaN 0.0.0.0 ... \n",
"1293436 NaN 0.0.0.0 ... \n",
"1293760 NaN 0.0.0.0 ... \n",
"1294499 NaN 0.0.0.0 ... \n",
"1295438 NaN 0.0.0.0 ... \n",
"\n",
" sdkVersion \\\n",
"0 {'version': '2.4.35', 'bundleID': 'org.cocoapo... \n",
"3 {'version': '2.4.35', 'bundleID': 'org.cocoapo... \n",
"36 {'version': '2.4.35', 'bundleID': 'org.cocoapo... \n",
"64 {'version': '2.4.35', 'bundleID': 'org.cocoapo... \n",
"428 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"593 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"640 {'version': '2.4.35', 'bundleID': 'org.cocoapo... \n",
"690 {'version': '2.4.35', 'bundleID': 'org.cocoapo... \n",
"993 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"1031 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"1118 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"1174 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"1259 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"1262 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"1360 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"1396 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"1401 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"1430 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"1446 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"1465 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"1559 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"1649 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"1777 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"1921 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"1929 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"1953 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"2033 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"2049 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"2061 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"2101 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"... ... \n",
"1287258 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"1287381 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"1287417 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"1287498 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"1287650 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"1288141 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"1288382 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"1289040 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"1289314 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"1289370 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"1289392 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"1289641 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"1290407 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"1290480 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"1290595 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"1290598 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"1290879 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"1290909 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"1291065 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"1291138 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"1291800 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"1291943 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"1291983 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"1292123 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"1292788 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"1292832 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"1293436 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"1293760 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"1294499 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"1295438 {'version': '2.4.34', 'bundleID': 'io.veep.VPK... \n",
"\n",
" timestamp timezone trackID url veepID x y \\\n",
"0 2017-04-13 21:20:49.414084000 3600 NaN NaN 1674 NaN NaN \n",
"3 2017-04-13 21:37:07.050292000 3600 NaN NaN 1674 NaN NaN \n",
"36 2017-04-13 22:10:39.617872000 -14400 NaN NaN 1680 NaN NaN \n",
"64 2017-04-13 22:49:33.066077000 -14400 NaN NaN 1681 NaN NaN \n",
"428 2017-04-18 14:25:06.523629000 -14400 NaN NaN 1738 NaN NaN \n",
"593 2017-04-18 17:56:47.833202000 3600 NaN NaN 1738 NaN NaN \n",
"640 2017-04-20 11:01:31.945026000 -14400 NaN NaN 1751 NaN NaN \n",
"690 2017-04-21 17:33:34.297367000 3600 NaN NaN 1751 NaN NaN \n",
"993 2017-04-26 21:27:15.242268000 -14400 NaN NaN 1804 NaN NaN \n",
"1031 2017-04-26 22:43:26.442782000 -14400 NaN NaN 1804 NaN NaN \n",
"1118 2017-04-26 23:04:16.079326000 -14400 NaN NaN 1738 NaN NaN \n",
"1174 2017-04-26 23:16:08.312881000 -14400 NaN NaN 1738 NaN NaN \n",
"1259 2017-04-26 23:26:51.587067000 -14400 NaN NaN 1740 NaN NaN \n",
"1262 2017-04-26 23:28:01.503241000 -14400 NaN NaN 1740 NaN NaN \n",
"1360 2017-04-26 23:38:58.859976000 -14400 NaN NaN 1738 NaN NaN \n",
"1396 2017-04-26 23:47:29.265627999 -14400 NaN NaN 1738 NaN NaN \n",
"1401 2017-04-26 23:49:06.743133000 -14400 NaN NaN 1738 NaN NaN \n",
"1430 2017-04-26 23:55:31.590571000 3600 NaN NaN 1804 NaN NaN \n",
"1446 2017-04-27 01:22:35.174931000 -14400 NaN NaN 1738 NaN NaN \n",
"1465 2017-04-27 01:23:04.007573000 -14400 NaN NaN 1738 NaN NaN \n",
"1559 2017-04-27 02:26:50.403203000 -14400 NaN NaN 1804 NaN NaN \n",
"1649 2017-04-27 02:59:41.354485000 -14400 NaN NaN 1746 NaN NaN \n",
"1777 2017-04-27 03:26:49.373464000 -14400 NaN NaN 1738 NaN NaN \n",
"1921 2017-04-27 05:02:11.832957000 -14400 NaN NaN 1738 NaN NaN \n",
"1929 2017-04-27 11:18:13.181890000 3600 NaN NaN 1804 NaN NaN \n",
"1953 2017-04-27 12:20:37.540815000 -14400 NaN NaN 1738 NaN NaN \n",
"2033 2017-04-27 12:30:15.630632000 -14400 NaN NaN 1738 NaN NaN \n",
"2049 2017-04-27 12:38:17.450761000 -14400 NaN NaN 1738 NaN NaN \n",
"2061 2017-04-27 12:42:58.318638000 -14400 NaN NaN 1738 NaN NaN \n",
"2101 2017-04-27 12:48:41.184862000 -14400 NaN NaN 1738 NaN NaN \n",
"... ... ... ... ... ... .. .. \n",
"1287258 2017-06-14 14:06:56.618957000 -14400 NaN NaN 3150 NaN NaN \n",
"1287381 2017-06-14 14:07:43.639847000 -14400 NaN NaN 3148 NaN NaN \n",
"1287417 2017-06-14 14:08:05.539237000 -14400 NaN NaN 3150 NaN NaN \n",
"1287498 2017-06-14 14:09:33.233097000 -14400 NaN NaN 3148 NaN NaN \n",
"1287650 2017-06-14 14:12:17.075939000 -14400 NaN NaN 3148 NaN NaN \n",
"1288141 2017-06-14 14:15:54.555957000 3600 NaN NaN 3148 NaN NaN \n",
"1288382 2017-06-14 14:18:38.756206000 -14400 NaN NaN 3148 NaN NaN \n",
"1289040 2017-06-14 14:29:22.541508000 -14400 NaN NaN 3150 NaN NaN \n",
"1289314 2017-06-14 14:31:59.695803000 -14400 NaN NaN 3154 NaN NaN \n",
"1289370 2017-06-14 14:32:55.144548000 -14400 NaN NaN 3054 NaN NaN \n",
"1289392 2017-06-14 14:33:14.845044000 -14400 NaN NaN 3150 NaN NaN \n",
"1289641 2017-06-14 14:41:22.082389000 -14400 NaN NaN 3148 NaN NaN \n",
"1290407 2017-06-14 14:48:34.342840000 -14400 NaN NaN 3148 NaN NaN \n",
"1290480 2017-06-14 14:49:55.975807000 -14400 NaN NaN 3063 NaN NaN \n",
"1290595 2017-06-14 14:51:39.593747000 -14400 NaN NaN 3150 NaN NaN \n",
"1290598 2017-06-14 14:51:42.882080000 -14400 NaN NaN 3150 NaN NaN \n",
"1290879 2017-06-14 14:54:57.194827000 -14400 NaN NaN 3156 NaN NaN \n",
"1290909 2017-06-14 14:56:12.112956000 -14400 NaN NaN 3148 NaN NaN \n",
"1291065 2017-06-14 14:59:39.795678000 -14400 NaN NaN 3150 NaN NaN \n",
"1291138 2017-06-14 15:01:21.301790000 -21600 NaN NaN 3061 NaN NaN \n",
"1291800 2017-06-14 15:10:47.421900000 -14400 NaN NaN 3150 NaN NaN \n",
"1291943 2017-06-14 15:14:58.725053000 -14400 NaN NaN 3156 NaN NaN \n",
"1291983 2017-06-14 15:15:41.577049000 -14400 NaN NaN 3154 NaN NaN \n",
"1292123 2017-06-14 15:16:59.318502000 -18000 NaN NaN 3150 NaN NaN \n",
"1292788 2017-06-14 15:32:44.347523000 -14400 NaN NaN 3156 NaN NaN \n",
"1292832 2017-06-14 15:33:50.834765000 -14400 NaN NaN 3150 NaN NaN \n",
"1293436 2017-06-14 15:55:19.678332000 -14400 NaN NaN 3061 NaN NaN \n",
"1293760 2017-06-14 15:59:17.890860000 -14400 NaN NaN 3061 NaN NaN \n",
"1294499 2017-06-14 16:15:25.507132000 -18000 NaN NaN 3150 NaN NaN \n",
"1295438 2017-06-14 16:53:21.641648000 -14400 NaN NaN 3150 NaN NaN \n",
"\n",
" client_local_timestamp veep_created \n",
"0 2017-04-13 16:20:49.414084-05:00 2017-04-13 20:59:33.483200+00:00 \n",
"3 2017-04-13 16:37:07.050292-05:00 2017-04-13 20:59:33.483200+00:00 \n",
"36 2017-04-13 17:10:39.617872-05:00 2017-04-13 22:04:50.817368+00:00 \n",
"64 2017-04-13 17:49:33.066077-05:00 2017-04-13 22:16:45.973591+00:00 \n",
"428 2017-04-18 09:25:06.523629-05:00 2017-04-18 14:18:16.309547+00:00 \n",
"593 2017-04-18 12:56:47.833202-05:00 2017-04-18 14:18:16.309547+00:00 \n",
"640 2017-04-20 06:01:31.945026-05:00 2017-04-18 16:19:26.236916+00:00 \n",
"690 2017-04-21 12:33:34.297367-05:00 2017-04-18 16:19:26.236916+00:00 \n",
"993 2017-04-26 16:27:15.242268-05:00 2017-04-25 20:22:07.695048+00:00 \n",
"1031 2017-04-26 17:43:26.442782-05:00 2017-04-25 20:22:07.695048+00:00 \n",
"1118 2017-04-26 18:04:16.079326-05:00 2017-04-18 14:18:16.309547+00:00 \n",
"1174 2017-04-26 18:16:08.312881-05:00 2017-04-18 14:18:16.309547+00:00 \n",
"1259 2017-04-26 18:26:51.587067-05:00 2017-04-18 14:28:18.064525+00:00 \n",
"1262 2017-04-26 18:28:01.503241-05:00 2017-04-18 14:28:18.064525+00:00 \n",
"1360 2017-04-26 18:38:58.859976-05:00 2017-04-18 14:18:16.309547+00:00 \n",
"1396 2017-04-26 18:47:29.265627999-05:00 2017-04-18 14:18:16.309547+00:00 \n",
"1401 2017-04-26 18:49:06.743133-05:00 2017-04-18 14:18:16.309547+00:00 \n",
"1430 2017-04-26 18:55:31.590571-05:00 2017-04-25 20:22:07.695048+00:00 \n",
"1446 2017-04-26 20:22:35.174931-05:00 2017-04-18 14:18:16.309547+00:00 \n",
"1465 2017-04-26 20:23:04.007573-05:00 2017-04-18 14:18:16.309547+00:00 \n",
"1559 2017-04-26 21:26:50.403203-05:00 2017-04-25 20:22:07.695048+00:00 \n",
"1649 2017-04-26 21:59:41.354485-05:00 2017-04-18 14:37:13.949905+00:00 \n",
"1777 2017-04-26 22:26:49.373464-05:00 2017-04-18 14:18:16.309547+00:00 \n",
"1921 2017-04-27 00:02:11.832957-05:00 2017-04-18 14:18:16.309547+00:00 \n",
"1929 2017-04-27 06:18:13.181890-05:00 2017-04-25 20:22:07.695048+00:00 \n",
"1953 2017-04-27 07:20:37.540815-05:00 2017-04-18 14:18:16.309547+00:00 \n",
"2033 2017-04-27 07:30:15.630632-05:00 2017-04-18 14:18:16.309547+00:00 \n",
"2049 2017-04-27 07:38:17.450761-05:00 2017-04-18 14:18:16.309547+00:00 \n",
"2061 2017-04-27 07:42:58.318638-05:00 2017-04-18 14:18:16.309547+00:00 \n",
"2101 2017-04-27 07:48:41.184862-05:00 2017-04-18 14:18:16.309547+00:00 \n",
"... ... ... \n",
"1287258 2017-06-14 09:06:56.618957-05:00 2017-06-14 14:03:58.594949+00:00 \n",
"1287381 2017-06-14 09:07:43.639847-05:00 2017-06-14 14:02:43.208059+00:00 \n",
"1287417 2017-06-14 09:08:05.539237-05:00 2017-06-14 14:03:58.594949+00:00 \n",
"1287498 2017-06-14 09:09:33.233097-05:00 2017-06-14 14:02:43.208059+00:00 \n",
"1287650 2017-06-14 09:12:17.075939-05:00 2017-06-14 14:02:43.208059+00:00 \n",
"1288141 2017-06-14 09:15:54.555957-05:00 2017-06-14 14:02:43.208059+00:00 \n",
"1288382 2017-06-14 09:18:38.756206-05:00 2017-06-14 14:02:43.208059+00:00 \n",
"1289040 2017-06-14 09:29:22.541508-05:00 2017-06-14 14:03:58.594949+00:00 \n",
"1289314 2017-06-14 09:31:59.695803-05:00 2017-06-14 14:06:53.904540+00:00 \n",
"1289370 2017-06-14 09:32:55.144548-05:00 2017-06-12 19:27:37.204557+00:00 \n",
"1289392 2017-06-14 09:33:14.845044-05:00 2017-06-14 14:03:58.594949+00:00 \n",
"1289641 2017-06-14 09:41:22.082389-05:00 2017-06-14 14:02:43.208059+00:00 \n",
"1290407 2017-06-14 09:48:34.342840-05:00 2017-06-14 14:02:43.208059+00:00 \n",
"1290480 2017-06-14 09:49:55.975807-05:00 2017-06-13 18:13:27.879643+00:00 \n",
"1290595 2017-06-14 09:51:39.593747-05:00 2017-06-14 14:03:58.594949+00:00 \n",
"1290598 2017-06-14 09:51:42.882080-05:00 2017-06-14 14:03:58.594949+00:00 \n",
"1290879 2017-06-14 09:54:57.194827-05:00 2017-06-14 14:08:32.434602+00:00 \n",
"1290909 2017-06-14 09:56:12.112956-05:00 2017-06-14 14:02:43.208059+00:00 \n",
"1291065 2017-06-14 09:59:39.795678-05:00 2017-06-14 14:03:58.594949+00:00 \n",
"1291138 2017-06-14 10:01:21.301790-05:00 2017-06-13 18:11:17.973133+00:00 \n",
"1291800 2017-06-14 10:10:47.421900-05:00 2017-06-14 14:03:58.594949+00:00 \n",
"1291943 2017-06-14 10:14:58.725053-05:00 2017-06-14 14:08:32.434602+00:00 \n",
"1291983 2017-06-14 10:15:41.577049-05:00 2017-06-14 14:06:53.904540+00:00 \n",
"1292123 2017-06-14 10:16:59.318502-05:00 2017-06-14 14:03:58.594949+00:00 \n",
"1292788 2017-06-14 10:32:44.347523-05:00 2017-06-14 14:08:32.434602+00:00 \n",
"1292832 2017-06-14 10:33:50.834765-05:00 2017-06-14 14:03:58.594949+00:00 \n",
"1293436 2017-06-14 10:55:19.678332-05:00 2017-06-13 18:11:17.973133+00:00 \n",
"1293760 2017-06-14 10:59:17.890860-05:00 2017-06-13 18:11:17.973133+00:00 \n",
"1294499 2017-06-14 11:15:25.507132-05:00 2017-06-14 14:03:58.594949+00:00 \n",
"1295438 2017-06-14 11:53:21.641648-05:00 2017-06-14 14:03:58.594949+00:00 \n",
"\n",
"[14988 rows x 22 columns]"
]
},
"execution_count": 230,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df[~df.consumerID.duplicated()]"
]
},
{
"cell_type": "code",
"execution_count": 231,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
"consumer_first_events = df[~df.consumerID.duplicated()]\n",
"num_consumers = pd.Series(1, consumer_first_events.set_index('timestamp').sort_index().eventID.index).cumsum()"
]
},
{
"cell_type": "code",
"execution_count": 232,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"data": {
"text/plain": [
"array([ 0. , 0.1512, 0.2592, 0.7056, 0.7092, 0.7128, 0.72 ,\n",
" 0.7236, 0.7272, 0.7344, 0.756 , 0.7596, 0.7632, 0.7668,\n",
" 0.7704, 0.774 , 0.7776, 0.7812, 0.7848, 0.7884, 0.792 ,\n",
" 0.7956, 0.8064, 0.8856, 0.8892, 0.8928, 0.8964, 0.9 ,\n",
" 0.9036, 0.9072, 0.9108, 0.9144, 0.918 , 0.9216, 0.9252,\n",
" 0.9288, 0.9324, 0.936 , 0.9396, 0.9432, 0.9468, 0.9504,\n",
" 0.954 , 0.9576, 0.9612, 0.9648, 0.9684, 0.972 , 0.9756,\n",
" 0.9792, 0.9828, 0.9864, 0.99 , 0.9936, 0.9972, 1.0008,\n",
" 1.0044, 1.008 , 1.0116, 1.0152, 1.0188, 1.0224, 1.026 ,\n",
" 1.0296, 1.0332, 1.0368, 1.0404, 1.044 , 1.0476, 1.0512,\n",
" 1.0548, 1.0584, 1.062 , 1.0656, 1.0692, 1.0728, 1.0764,\n",
" 1.08 , 1.0836, 1.0872, 1.0908, 1.0944, 1.098 , 1.1016,\n",
" 1.1052, 1.1088, 1.1124, 1.116 , 1.1196, 1.1232, 1.1268,\n",
" 1.1304, 1.134 , 1.1376, 1.1412, 1.1448, 1.1484, 1.152 ,\n",
" 1.1556, 1.1664, 1.17 , 1.1736, 1.188 , 1.1916, 1.1988,\n",
" 1.2132, 1.2168, 1.224 , 1.2348, 1.242 , 1.2456, 1.2528,\n",
" 1.2672, 1.3284, 1.3932, 1.3968, 1.4004, 1.404 , 1.4076,\n",
" 1.4112, 1.4148, 1.4184, 1.422 , 1.4256, 1.4292, 1.4328,\n",
" 1.4364, 1.44 , 1.4436, 1.4472, 1.4508, 1.4544, 1.458 ,\n",
" 1.4616, 1.4652, 1.4688, 1.4724, 1.476 , 1.4796, 1.4832,\n",
" 1.4868, 1.4904, 1.494 , 1.4976, 1.5012, 1.5048, 1.5084,\n",
" 1.512 , 1.5156, 1.5192, 1.5228, 1.5264, 1.53 , 1.5336,\n",
" 1.5372, 1.5408, 1.5444, 1.548 , 1.5516, 1.5552, 1.5588,\n",
" 1.5624, 1.566 , 1.5696, 1.5732, 1.5768, 1.5804, 1.584 ,\n",
" 1.5876, 1.5912, 1.5948, 1.5984, 1.602 , 1.6056, 1.6092,\n",
" 1.6128, 1.6164, 1.62 , 1.6236, 1.6272, 1.6308, 1.6344,\n",
" 1.638 , 1.6416, 1.6452, 1.6488, 1.6524, 1.656 , 1.6596,\n",
" 1.6632, 1.6668, 1.6704, 1.674 , 1.6776, 1.6812, 1.6848,\n",
" 1.6884, 1.692 , 1.6956, 1.6992, 1.7028, 1.7064, 1.71 ,\n",
" 1.7136, 1.7172, 1.7208, 1.7244, 1.728 , 1.7316, 1.7352,\n",
" 1.7388, 1.7424, 1.746 , 1.7496, 1.7532, 1.7568, 1.7604,\n",
" 1.764 , 1.7676, 1.7712, 1.7748, 1.7784, 1.782 , 1.7856,\n",
" 1.7892, 1.7928, 1.7964, 1.8 , 1.8036, 1.8072, 1.8108,\n",
" 1.8144, 1.818 , 1.8216, 1.8252, 1.8288, 1.8324, 1.836 ,\n",
" 1.8396, 1.8432, 1.8468, 1.8504, 1.854 , 1.8576, 1.8612,\n",
" 1.8684, 1.872 , 1.8756, 1.8792, 1.8828, 1.8864, 1.89 ,\n",
" 1.8936, 1.8972, 1.9008, 1.9044, 1.908 , 1.9152, 1.9224,\n",
" 1.9332, 1.9584, 1.9656, 1.9728, 1.9764, 1.98 , 1.9836,\n",
" 1.9872, 1.9908, 1.9944, 1.998 , 2.0016, 2.0052, 2.0088,\n",
" 2.0124, 2.016 , 2.0196, 2.0232, 2.0268, 2.0304, 2.034 ,\n",
" 2.0376, 2.0412, 2.0448, 2.0484, 2.052 , 2.0556, 2.0592,\n",
" 2.0628, 2.0664, 2.07 , 2.0736, 2.0772, 2.0808, 2.0844,\n",
" 2.088 , 2.0916, 2.0952, 2.0988, 2.1024, 2.106 , 2.1096,\n",
" 2.1132, 2.1168, 2.1204, 2.124 , 2.1276, 2.1312, 2.1348,\n",
" 2.1384, 2.142 , 2.1456, 2.1492, 2.1528, 2.1564, 2.16 ,\n",
" 2.1636, 2.1672, 2.1708, 2.1744, 2.178 , 2.1816, 2.1852,\n",
" 2.1888, 2.1924, 2.196 , 2.1996, 2.2032, 2.2068, 2.2104,\n",
" 2.214 , 2.2176, 2.2248, 2.2284, 2.232 , 2.2356, 2.2392,\n",
" 2.2428, 2.2464, 2.25 , 2.2536, 2.2572, 2.2608, 2.2644,\n",
" 2.268 , 2.2716, 2.2752, 2.2788, 2.2824, 2.286 , 2.2896,\n",
" 2.2932, 2.2968, 2.3004, 2.304 , 2.3076, 2.3112, 2.3148,\n",
" 2.3184, 2.322 , 2.3256, 2.3292, 2.3328, 2.3364, 2.34 ,\n",
" 2.3436, 2.3472, 2.3508, 2.3544, 2.358 , 2.3616, 2.3652,\n",
" 2.3688, 2.3724, 2.376 , 2.3796, 2.3832, 2.3868, 2.3904,\n",
" 2.394 , 2.3976, 2.4012, 2.4048, 2.4084, 2.412 , 2.4156,\n",
" 2.4192, 2.4228, 2.4264, 2.43 , 2.4336, 2.4372, 2.4408,\n",
" 2.4444, 2.448 , 2.4516, 2.4552, 2.4588, 2.466 , 2.4696,\n",
" 2.4732, 2.4768, 2.4804, 2.484 , 2.4876, 2.4912, 2.4948,\n",
" 2.4984, 2.502 , 2.5056, 2.5092, 2.5128, 2.5164, 2.52 ,\n",
" 2.5236, 2.5272, 2.5308, 2.5344, 2.538 , 2.5416, 2.5452,\n",
" 2.5488, 2.5524, 2.556 , 2.5596, 2.5632, 2.5668, 2.5704,\n",
" 2.574 , 2.5776, 2.5812, 2.5848, 2.5884, 2.592 , 2.5956,\n",
" 2.5992, 2.6028, 2.6064, 2.61 , 2.6136, 2.6172, 2.6208,\n",
" 2.6244, 2.628 , 2.6316, 2.6352, 2.6388, 2.6424, 2.6532,\n",
" 2.6568, 2.6604, 2.664 , 2.6676, 2.6712, 2.6748, 2.6784,\n",
" 2.682 , 2.6892, 2.6928, 2.6964, 2.7 , 2.7036, 2.7072,\n",
" 2.7108, 2.7144, 2.718 , 2.7216, 2.7252, 2.7324, 2.7396,\n",
" 2.7432, 2.7468, 2.7504, 2.754 , 2.7576, 2.7612, 2.7648,\n",
" 2.7684, 2.772 , 2.7756, 2.7792, 2.7828, 2.7864, 2.79 ,\n",
" 2.7936, 2.8008, 2.8044, 2.808 , 2.8224, 2.826 , 2.8296,\n",
" 2.8332, 2.8368, 2.8404, 2.844 , 2.8476, 2.8512, 2.8548,\n",
" 2.8584, 2.862 , 2.8656, 2.8692, 2.8728, 2.8764, 2.88 ,\n",
" 2.8836, 2.8872, 2.8908, 2.8944, 2.898 , 2.9016, 2.9052,\n",
" 2.9088, 2.9124, 2.916 , 2.9196, 2.9232, 2.9268, 2.9304,\n",
" 2.934 , 2.9376, 2.9412, 2.9448, 2.9484, 2.952 , 2.9556,\n",
" 2.9592, 2.9628, 2.9664, 2.97 , 2.9736, 2.9772, 2.9808,\n",
" 2.9916, 2.9952, 2.9988, 3.0024, 3.006 , 3.0096, 3.0132,\n",
" 3.0168, 3.0204, 3.024 , 3.0276, 3.0312, 3.0348, 3.0384,\n",
" 3.042 , 3.0456, 3.0492, 3.0528, 3.0564, 3.06 , 3.0636,\n",
" 3.0672, 3.0708, 3.0744, 3.078 , 3.0816, 3.0852, 3.0888,\n",
" 3.0924, 3.096 , 3.0996, 3.1032, 3.1068, 3.1104, 3.114 ,\n",
" 3.1176, 3.1212, 3.1248, 3.1284, 3.132 , 3.1356, 3.1392,\n",
" 3.1428, 3.1464, 3.15 , 3.1536, 3.1572, 3.1608, 3.1644,\n",
" 3.168 , 3.1716, 3.1752, 3.1788, 3.1824, 3.186 , 3.1896,\n",
" 3.1932, 3.1968, 3.2004, 3.204 , 3.2076, 3.2112, 3.2148,\n",
" 3.2184, 3.222 , 3.2256, 3.2292, 3.2328, 3.2364, 3.24 ,\n",
" 3.2436, 3.2472, 3.2508, 3.2544, 3.258 , 3.2616, 3.2652,\n",
" 3.2688, 3.2724, 3.276 , 3.2796, 3.2832, 3.2868, 3.2904,\n",
" 3.294 , 3.2976, 3.3012, 3.3048, 3.3084, 3.312 , 3.3156,\n",
" 3.3192, 3.3228, 3.3264, 3.33 , 3.3336, 3.3372, 3.3444,\n",
" 3.3516, 3.3552, 3.3588, 3.3624, 3.366 , 3.3696, 3.3732,\n",
" 3.3768, 3.3804, 3.384 , 3.3876, 3.3912, 3.3948, 3.3984,\n",
" 3.402 , 3.4056, 3.4092, 3.4164, 3.4272, 3.4344, 3.4416,\n",
" 3.4488, 3.4524, 3.456 , 3.4596, 3.4632, 3.4668, 3.4704,\n",
" 3.474 , 3.4776, 3.4848, 3.4884, 3.492 , 3.4956, 3.4992,\n",
" 3.5064, 3.5208, 3.5244, 3.528 , 3.5316, 3.5352, 3.5424,\n",
" 3.5496, 3.5532, 3.5604, 3.564 , 3.5712, 3.5784, 3.582 ,\n",
" 3.5856, 3.6108, 3.618 , 3.6216, 3.6324, 3.6396, 3.6432,\n",
" 3.6468, 3.6504, 3.654 , 3.6576, 3.6612, 3.6648, 3.6684,\n",
" 3.672 , 3.6756, 3.6792, 3.6828, 3.6864, 3.69 , 3.6936,\n",
" 3.6972, 3.7008, 3.7044, 3.708 , 3.7116, 3.7152, 3.7188,\n",
" 3.7224, 3.726 , 3.7296, 3.7332, 3.7368, 3.7404, 3.744 ,\n",
" 3.7476, 3.7512, 3.7548, 3.7584, 3.762 , 3.7656, 3.7692,\n",
" 3.7728, 3.7764, 3.78 , 3.7836, 3.7872, 3.7908, 3.7944,\n",
" 3.798 , 3.8016, 3.8052, 3.8088, 3.8124, 3.816 , 3.8196,\n",
" 3.8232, 3.8268, 3.8304, 3.834 , 3.8376, 3.8412, 3.8448,\n",
" 3.8484, 3.852 , 3.8556, 3.8592, 3.8628, 3.8664, 3.87 ,\n",
" 3.8736, 3.8772, 3.8808, 3.8844, 3.888 , 3.8916, 3.8952,\n",
" 3.8988, 3.9024, 3.906 , 3.9096, 3.9132, 3.9168, 3.9204,\n",
" 3.924 , 3.9276, 3.9312, 3.9348, 3.9384, 3.942 , 3.9456,\n",
" 3.9528, 3.9564, 3.96 , 3.9636, 3.9672, 3.9708, 3.9744,\n",
" 3.978 , 3.9816, 3.9852, 3.9888, 3.9924, 3.996 , 3.9996,\n",
" 4.0032, 4.0068, 4.0104, 4.014 , 4.0176, 4.0212, 4.0248,\n",
" 4.0284, 4.032 , 4.0356, 4.0392, 4.0428, 4.0464, 4.05 ,\n",
" 4.0536, 4.0572, 4.0608, 4.0644, 4.068 , 4.0716, 4.0752,\n",
" 4.0788, 4.0824, 4.086 , 4.0896, 4.0932, 4.0968, 4.1004,\n",
" 4.104 , 4.1076, 4.1148, 4.1184, 4.122 , 4.1256, 4.1292,\n",
" 4.1328, 4.1364, 4.14 , 4.1436, 4.158 , 4.1616, 4.1652,\n",
" 4.1688, 4.1832, 4.1904, 4.2012, 4.212 , 4.2228, 4.2264,\n",
" 4.23 , 4.2336, 4.2372, 4.2408, 4.2444, 4.248 , 4.2516,\n",
" 4.2552, 4.2588, 4.2624, 4.266 , 4.2696, 4.2732, 4.2768,\n",
" 4.2804, 4.284 , 4.2876, 4.2912, 4.2948, 4.2984, 4.302 ,\n",
" 4.3056, 4.3092, 4.3128, 4.3164, 4.32 , 4.3236, 4.3272,\n",
" 4.3308, 4.3344, 4.338 , 4.3416, 4.3452, 4.3488, 4.3524,\n",
" 4.356 , 4.3596, 4.3632, 4.3668, 4.3704, 4.3776, 4.3812,\n",
" 4.3848, 4.3884, 4.392 , 4.3956, 4.3992, 4.4028, 4.4064,\n",
" 4.41 , 4.4172, 4.4208, 4.4244, 4.428 , 4.4316, 4.4352,\n",
" 4.4388, 4.4424, 4.446 , 4.4496, 4.4532, 4.4568, 4.4604,\n",
" 4.464 , 4.4676, 4.4712, 4.4748, 4.4784, 4.482 , 4.4856,\n",
" 4.4892, 4.4928, 4.4964, 4.5 , 4.5036, 4.5072, 4.5108,\n",
" 4.5144, 4.518 , 4.5252, 4.5288, 4.536 , 4.5396, 4.5504,\n",
" 4.554 , 4.5576, 4.572 , 4.5756, 4.5828, 4.5864, 4.59 ,\n",
" 4.5936, 4.5972, 4.6008, 4.608 , 4.6116, 4.6188, 4.6224,\n",
" 4.626 , 4.644 , 4.6512, 4.6584, 4.662 , 4.6656, 4.6692,\n",
" 4.6728, 4.6764, 4.68 , 4.6836, 4.6872, 4.6908, 4.6944,\n",
" 4.698 , 4.7016, 4.7052, 4.7088, 4.7196, 4.734 , 4.7412,\n",
" 4.7448, 4.752 , 4.7556, 4.7592, 4.7628, 4.7664, 4.77 ,\n",
" 4.7736, 4.7772, 4.7808, 4.7844, 4.788 , 4.7916, 4.7952,\n",
" 4.7988, 4.8024, 4.8096, 4.8132, 4.8168, 4.8204, 4.824 ,\n",
" 4.8276, 4.8312, 4.8348, 4.8384, 4.842 , 4.8456, 4.8492,\n",
" 4.8528, 4.8564, 4.86 , 4.8636, 4.8672, 4.8708, 4.8744,\n",
" 4.878 , 4.8816, 4.8852, 4.8888, 4.8996, 4.9032, 4.9068,\n",
" 4.9104, 4.914 , 4.9176, 4.9212])"
]
},
"execution_count": 232,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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ecvfJwFPhfYAzCC4BOhmYDdwBQTEBrgOmE1wk6LpIQZHda2xpAyBfaw4iEgc9\nuYb0e+7+WjhcD7wNjAJmAvPCyeYBZ4fDM4G7PfAyUGhmI4DTgfnuXu3u24D5wIzu5uovGpqC4qA1\nBxGJh5jsczCzUuAo4BVgmLu/F47aBAwLh0cB66MetiFs21277EF9WBzyVBxEJA56XBzMbCDwv8DX\n3b0uepy7O+A9fY2o15ptZuVmVl5ZWRmrp01J27YHne6pXyURiYceFQczyyAoDH9x9wfD5s3h5iLC\nn1vC9gpgTNTDR4dtu2vvxN3nuHuZu5cNGTKkJ9FTXk2kOOTpJDgRib2eHK1kwJ3A2+5+c9SoR4DI\nEUezgIej2i8Oj1o6FqgNNz89DpxmZkXhjujTwjbZg60NWnMQkfjpyQbrE4CLgEVm9kbY9l3gp8D9\nZnY5sA44Nxz3GHAmsBLYDlwK4O7VZnYD8Go43fXuXt2DXP3C6+/WUJSbwXBdBU5E4qDbxcHdnwd2\n11f0qV1M78CVu3muucDc7mbpb9ydF1dt5biJgxmg7rpFJA50hnQKWrO1kfdqmzhhUkmio4hIH6Xi\nkIKefifYx3/CRBUHEYkPFYcU4+786YW1lI0rorQkL9FxRKSPUnFIMau3NlJRs4NPHz060VFEpA9T\ncUgxL66qAuD4iYMTnERE+jIVhxTzr2WVjCrMYdzg3ERHEZE+TMUhhdRsb+G5FZWcNmUYwTmIIiLx\noeKQQm57aiVt7R2cf8zYREcRkT5OxSFF1DW18j8L1vHpo0dz4PD8RMcRkT5OxSFFvLSqiqbWDs6Z\nqqOURCT+VBxSxMurq8jJSOPosbpInojEn4pDili+uZ4Dh+eTma6PTETiT980KWLF5gYmDx2Y6Bgi\n0k+oOKSA2u2tbKlvZvIwFQcR6R0qDilgxZZ6ACYP1VFKItI7kqY4mNkMM1tmZivN7OpE50kmiytq\nAXQIq4j0mp5cCS5mzCwN+C3wMWAD8KqZPeLuSxObrHe1tHVQ19RK7Y7wtj34+fdF7zF8UDYjC3MS\nHVFE+omkKA7ANGClu68GMLN7gZnAbovD5rombnr8HdzBIfzpwcidbb5zPFHTeGQy9y7HRZ4v8mTu\nXTw2+jWjXu+D4z74GkS/hkNjSxuNzW00NLexua6Z2h2tu/0FnX/MmH35PYqIxESyFIdRwPqo+xuA\n6btOZGazgdkAmcMn8bt/rcYAMzCM8F84bdBmYVukLyIL/4u0Rboo2nk/fCzsOu6Dz0f0c1pUhp3T\nvv987PJAFxB3AAAP+0lEQVSYyPPlZKaTn5XOkPwspo8fzJD8LAZlp1OYm0lBbgYFORkU5gQ/i/My\nu/u7FRHZb8lSHPaJu88B5gCUlZV5+Y/PTHAiEZG+KVl2SFcA0dtNRodtIiKSAMlSHF4FJpvZeDPL\nBM4HHklwJhGRfispNiu5e5uZfQV4HEgD5rr7kgTHEhHpt5KiOAC4+2PAY4nOISIiybNZSUREkoiK\ng4iIdKLiICIinZi/fypwSjGzSmBdnF+mBNga59foKWWMjVTICKmRUxljI14Zx7n7kL1NlLLFoTeY\nWbm7lyU6x54oY2ykQkZIjZzKGBuJzqjNSiIi0omKg4iIdKLisGdzEh1gHyhjbKRCRkiNnMoYGwnN\nqH0OIiLSidYcRESkExWHFGCRC0ekgFTKKiK71++Lg5kNjBpO1i+2ZM21k5n9yMwO9iTdTmmBo80s\nafoTS1VmdpCZ5YXDSTlvhp/3hETnSGX9tjiY2YVmVg7cZGbXAyTbF5uZfd7MFhJkPCfRebpiZheY\n2XPAFcDnE51nD/4CzAWOSHSQrpjZF8zsfjP7UKKz7I6ZnWtmS4GfAw9C8v3NwM5r0j8OzDWzvZ7s\n1dtS4bOGflYcwqWJHDP7HvAF4JvAb4AzzOzQxKb7IDObAnwduAr4F3CVmX02HJeW4GwDzKzAzH4P\nzAKuAf4TqA7HJ9XSZJgnB1gBTDWzwVHtCWdmpxPMi2nAcWZWFLYnRT4I1hYI5sXL3P2TwMFJ/OWW\nBmQSfL+dmExri6nwWUf0m+JgZhke2AH8zd0/7O7PEcxEK0iCK8+ZWVbU3aHAv939eXd/BLgJ+CWA\nu7cnIh+AmeW4e4e71wJz3P10d38BcODcMF/SLE2a2YAwzysEF5U6ATgYEptzl896IXAqwYLKaOBk\nSPzvcZeMJcA7wLth++tAa0KC7cLMsqOGzd1bgP8jWLu5nOBvKVm8DnyEJPusu9IvioOZXQPcaWaX\nmNlgd18ctp8K/DfBzHOzmf1H2N7rvxczuxq438y+aGYlQB1wUmR8WCCWm9kPE5jxe8A/zOxrZnaY\nuy+MyvG/QJuZHd7buaKZ2Q/N7OPhsLl7h5kVAtOB24DFwIfD3/P4BGW8Bngw/D1Ocfet7v4ewRpi\nBVBmZqWR95AEGccDq4EGgi+1VUA98CMzu9XMBiUiY5jze8A/zewrZna4u7uZjQI+SvB5vweca2Zn\nm1l+AvLtnB9DVe6+iST6rHenTxeHcMfZi8AU4K/AOcD5UUtEG4APuftHgZ8CPzCzEnfv6MWMU8zs\nJeBQ4NfAp4BPu/tCoMnMro2a/D+AU81sYG9mDHNeRrB0+x2CpcgbzGxcVI4iYA0JmqfMrNjM5gBf\nA34cWVMM1xxqgHfcvYlgDefbwKVAbS9nHG9mTxPMj78ADgQuiXxphb/LJ4F8gi+3Xl+i3E3GK4Bq\nd78KeAG42d0/D1wEHA8kZMfvLvPkUOB6M5vg7hXAa+Hvcz3B3/ZXgF5b4+5qfoRgrT+y0EKCP+u9\n6dPFgWDp5n53/7y7R1Yzj3P3ZgB3X+bu1ZFhglXR3l4F3QBcF2Z8ElgCRL5wv0ywr2F4eL8KeAt6\ndykjfK0xwO3u/grBDsnFBH90ALj7GmAccGT4mN6etxqBh9y9iGCJ7Jthro5wTezUcEHhM8CfgX8D\nhb2csRp4NPysnyG4TvpIoDXyeYYLBa8BI8M13auTJOOAcF9XB7A2zLoRWAlM7OWMu5snlxAs4GUA\nn7PgQIkZ4XtYADT1YsQu58ewMDgkxWe9R32mOHT1ZRkuQfwhqukVoGCXbamYWbqZ3QYMIpzxezFj\nrbs/YWYZZvZrgh28M81sNsHMfhtwi5mdD1wLjAB29OZSRtRrXRzebwBuBSaa2SlRk/4V+Fg4Ta+u\n2YQF/7nw7nXAF81sRDhuK8GCwX3ufhxwJUFhyO7queIh/FKo5YPz4xKCL7jIWk5k/nidYD74Kb1o\nLxnTw31dacB5FhxxcxNwAME+k161m3nyVwRrPAcDdxAUueMJfpdHEryP3srX5fwY+ZyjFp4S8lnv\nE3fvEzegKPyZvodpvkqwpBHd9nmC6n0LkJvIjMCF4c8jgRuBbxCc43A6cDdBoYh3xgOBAVH3I12s\nZAFLgZMi7YSrzFHTzibYdGe9mXGXcZG8dwJ/3MNzpCUqY9Q0nwH+sktbJvA0cFdvf9b7khHICD/j\nPwM/A/LimTF8zY8Aw7v4jHedJweEfzPXd/Ecu/1eiHW+Xcbtdn7szc+6W+8r0QFi8MEUEBzT/Mqu\nH0rUB5Me/vwVcH44PJVg6XECMD7RGbt4zA+B70Tdz4hzxo8RrFndFP2HFGaM/P6ujH4P4f1vJUnG\nAbt81kMIjq6ZTLAz+tjItEmU8ZvAt8Ph44ApkfklSTOeCBwUDmfGM2P4GscTrLncDUzaj3nym5H3\nEM/Pey/59jQ/HkuweTvun3WP3l+iA8TgA8oE7iPYxvfZsC0javwQwqUbgtXlrwJ/Ah4DSpMoY1bU\n/cHA34FZcc5lBEuC1xMczvvpXcanRQ2PCH8+TbAKfCJBwfvPZMpI1BIYwaavDuAN4JgkyjgwHL6N\nYA1xDvAEcEh/zrhrnvDv9IJd2qPXahMyT+5PvkTMjzF7j4kOEIMPaBjBquRZwKaocRkEh909RFCt\nhwE7CHakfj0JMx5KcMTPb8KZ59u9mPEHwE+i7n8ozBZZ+vkl8CJQSrCm9SWCQ/H+K8kyPgccE34R\nnkVw9FSy/R6fI1hrzQc2AsuAq5SxU84igs0thQQLVxcBk4DscPzNiZwn9zFfQufHHr/HRAfYzw/k\nawRL/5fx/iajHODJcPgJ4PsExWAUMI9wO384/htAcZJn/HwvZpwd3h8ezuh3AYsIjtq6O5zhBxMs\n8RTt8hxx3azQ04zh7zfem2d6mvHLwOD+nnGXnJeH9weHX64nAw8D9xOsff8eyCNYo+m1ebKn+Xpj\nfoz5e050gP34cC4BXiY4NO1fBF02TCA49PTGcJrLCI5lXrjLY+O68zHFM15LsPRzNkH/QwcRLOnM\nJNj0NjLFMsZtx2MMM8Z9e32qZNxDzhyCTUUrgXPD6fIJDuc+ojfnyR7m65X5MR63pOlzZB+cCvzM\n3f9pZluBTxB01/Bb4Ewzm0bwJfw0wdnFkUNHzXuvu4lUzDgT+JK7/9TM5rt7Y5hrEbAt8qDwMMdU\nyNiWAhlblHGPOc8mOPHu+wQnK0ZOEqw3s/8h2Ezbm/NkT/L11vwYc0l/nsMuxwOfBeDu5cBLBEvl\nJxJsqlng7ke6+8eAU8xsvAfifrx9imd8ARhvZidEvixCFxMsHUVOEnRlVMZeyvk8wfkKIwg6dDzd\nzD4R9hZwAsHhq3HPmez54i3pioOZnWBmO8+4jPrifIHgLM1If0NLCM4uzge+7+7R3UyM9eCMXWXc\ne8bFBP3PjAwf9xkze5OgqH3Zgy4nlFEZezvnemCqu98N/I5gAWsscJa7b+iP+Xpb0hQHCy7E8gTB\nJpeCqPZIxhUEX7bnmVmau68nmMnHuXuLmaVFpt1lqUgZ95xxA8FqcKQTuuUEmx4udvfNyqiMCco5\nlGAnLu7+NHCNu8/2oMuOfpUvURJeHCzoNuL3BMdR30ZwnPIp4bi0qOpdT9AfThbwCwv6Tykk2AGE\nu7fHa/NMP8hYBGwNMy5y95eUURmTIGdl5Lni8XeT7PkSLeHFgeAX/hxB76iPEvSBc7CZRfpywYJu\nqv+HoBfN7xF8MP8O789TRmVUxqTLmAo5kz1fYnkCDpEiOH38gHDYdhl3OfC7yDjgcIIPZ2LUNAOA\nfGVURmVMnoypkDPZ8yXTrXdfLNjE8neC1bRreb9bi+i+SCYBm3m/kzqLevweOwlTRmVUxt7PmAo5\nkz1fMt56e7NSHsF2va+GwydBcMiXB/3uDyDoMvtxdrl8ngUXbemN7XrKqIzK2PdyJnu+pBP34mBm\nF5vZyWY2yIPrK8whONW8CZhuZpHD6iJXR4pca6Ep0g7x3eGjjMqojH0vZ7LnS3ZxKQ4WGGFmzxBc\nyOJC4A4LLsHZ5O7bCS6RV0TQFzru7uERAo1hrmMj7cqojMqY+IypkDPZ86UUj/22vbTw5wHAf0fa\nCK6P/OAu036DoDvgAj7YtW28O3VTRmVUxj6WM9nzpdotZmsOFpzg9WOCi2mfTHCVqXYIju8HrgKO\nD8dF/AEYCMwH1kRW8zxO/booozIqY9/Lmez5UlVMikP4S19IsKq2ErgBaAU+bEFnc3iw3e4H4S3i\n4wQdWL0JHOZxPLtQGZVRGftezmTPl9JitDr3IeCiqPu3E/QDfwlh19QEhWg4wQ6h0rBtJuH1X+N9\nU0ZlVMa+lzPZ86XyLVYfUC7Bnv7INr8LCa82RXBVs6+Gw2XAPQl5o8qojMrY53Ime75UvsVks5K7\nb3f3Zn+/b/WP8X6/I5cSnJL+KHAP8Bq8f5hYb1FGZVTGvpcz2fOlsphe7MfM0gAn6PnxkbC5Hvgu\nwTWS13hwvDEelvPepozKqIz7L9lzJnu+VBTr8xw6CC5WvhU4PKzY3wM63P35yIeTYMoYG8oYG6mQ\nEZI/Z7LnSz2x3k5FcAJJB8HVki5P9HYzZVRGZewfOZM9X6rdLPylxoyZjQYuAm529+aYPnmMKGNs\nKGNspEJGSP6cyZ4v1cS8OIiISOpLhov9iIhIklFxEBGRTlQcRESkExUHERHpRMVBREQ6UXGQfsPM\nCs3sinB4pJk9EMfXOtLMzozX84vEm4qD9CeFBN004+4b3f2cOL7WkYCKg6Qsnecg/YaZ3UvQVfMy\nYAVwsLsfamaXAGcTXHh+MvALIJPghKpm4Ex3rzazicBvgSHAduCL7v6OmX0WuI7gAjO1wEcJri2Q\nA1QAPwHWALcC2cAO4FJ3X7Yfr/0swbUHTiboE+0yd18Qn9+UCLHvPkM33ZL1BpQCi7sYvoTgyzyf\n4Iu/FvhSOO4W4Ovh8FPA5HB4OvB0OLwIGBUOF0Y952+iXnsQkB4OfxT43/187WeBP4TDJ0Wy66Zb\nvG4x7ZVVJIU94+71QL2Z1QL/F7YvIujIbSBwPPDXqB6fs8KfLwB3mdn9wIO7ef4CYJ6ZTSboPTRj\nX187arp7ANz9OTMbZGaF7l7TzfcrskcqDiKB6L54OqLudxD8nQwAatz9yF0f6O5fMrPpBJeeXGhm\nU7t4/hsIisCnzKyUYE1gX19750vt+tJ7eD8iPaId0tKf1BNsvtlv7l5HcCH6z0JwwRgzOyIcnuju\nr7j79wkuNDOmi9cqINj/AMGmpO44L3y9E4Fad6/t5vOI7JWKg/Qb7l4FvGBmi4GbuvEUFwKXm9mb\nwBKCndsAN5nZovB5XyTYcfwMcIiZvWFm5wE/B35iZq/T/TX2pvDxvwMu7+ZziOwTHa0kkgLCo5X+\nw93LE51F+getOYiISCdacxARkU605iAiIp2oOIiISCcqDiIi0omKg4iIdKLiICIinag4iIhIJ/8f\nYO0CJVN9eBsAAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7eff74bc47f0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"num_consumers = num_consumers.resample('1h').mean().dropna()\n",
"\n",
"num_consumers = num_consumers[num_consumers > 5]\n",
"num_consumers.plot()\n",
"\n",
"np.array((num_consumers.index - num_consumers.index[0]).astype('timedelta64[s]')/1e6)\n"
]
},
{
"cell_type": "code",
"execution_count": 233,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
"# Fit an exponential\n",
"\n",
"from scipy.optimize import curve_fit\n",
"\n",
"def func(x, a, c):\n",
" return a*(1-np.exp(-c*x))\n",
"\n",
"xdata = np.array((num_consumers.index - num_consumers.index[0]).astype('timedelta64[s]')/1e6)\n",
"ydata = np.log(num_consumers.as_matrix())/10\n",
"\n",
"popt, pcov = curve_fit(func, xdata, ydata, p0 = np.array([1.5, 2]))\n"
]
},
{
"cell_type": "code",
"execution_count": 234,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"data": {
"text/plain": [
"array([ 0. , 0.18669446, 0.29742551, 0.61050895, 0.61230978,\n",
" 0.61410138, 0.61765709, 0.61942129, 0.62117645, 0.62465984,\n",
" 0.63489781, 0.63657366, 0.63824093, 0.63989966, 0.64154988,\n",
" 0.64319165, 0.64482501, 0.64644999, 0.64806665, 0.64967503,\n",
" 0.65127516, 0.6528671 , 0.65759412, 0.69011983, 0.69151271,\n",
" 0.69289846, 0.69427711, 0.69564869, 0.69701324, 0.6983708 ,\n",
" 0.69972141, 0.70106509, 0.70240189, 0.70373184, 0.70505497,\n",
" 0.70637132, 0.70768093, 0.70898383, 0.71028005, 0.71156963,\n",
" 0.7128526 , 0.71412899, 0.71539885, 0.7166622 , 0.71791907,\n",
" 0.71916951, 0.72041353, 0.72165119, 0.7228825 , 0.7241075 ,\n",
" 0.72532622, 0.7265387 , 0.72774496, 0.72894505, 0.73013898,\n",
" 0.7313268 , 0.73250853, 0.7336842 , 0.73485385, 0.73601751,\n",
" 0.7371752 , 0.73832696, 0.73947282, 0.74061281, 0.74174696,\n",
" 0.74287529, 0.74399784, 0.74511464, 0.74622572, 0.7473311 ,\n",
" 0.74843082, 0.74952491, 0.75061339, 0.75169629, 0.75277364,\n",
" 0.75384547, 0.75491181, 0.75597268, 0.75702812, 0.75807815,\n",
" 0.7591228 , 0.7601621 , 0.76119607, 0.76222474, 0.76324814,\n",
" 0.7642663 , 0.76527924, 0.76628698, 0.76728957, 0.76828702,\n",
" 0.76927935, 0.77026661, 0.7712488 , 0.77222596, 0.77319811,\n",
" 0.77416528, 0.7751275 , 0.77608478, 0.77703716, 0.77986511,\n",
" 0.78079812, 0.78172635, 0.78539193, 0.78629662, 0.78809211,\n",
" 0.79162821, 0.79250094, 0.79423301, 0.79679797, 0.79848611,\n",
" 0.7993237 , 0.80098602, 0.80425987, 0.81744699, 0.83020976,\n",
" 0.83088479, 0.83155636, 0.83222449, 0.83288919, 0.83355049,\n",
" 0.8342084 , 0.83486294, 0.83551413, 0.83616197, 0.8368065 ,\n",
" 0.83744773, 0.83808567, 0.83872034, 0.83935176, 0.83997994,\n",
" 0.8406049 , 0.84122666, 0.84184524, 0.84246065, 0.8430729 ,\n",
" 0.84368201, 0.84428801, 0.8448909 , 0.84549069, 0.84608742,\n",
" 0.84668109, 0.84727171, 0.84785931, 0.8484439 , 0.84902549,\n",
" 0.84960411, 0.85017975, 0.85075245, 0.85132221, 0.85188906,\n",
" 0.852453 , 0.85301404, 0.85357222, 0.85412753, 0.85468 ,\n",
" 0.85522964, 0.85577646, 0.85632048, 0.85686171, 0.85740017,\n",
" 0.85793587, 0.85846882, 0.85899904, 0.85952655, 0.86005135,\n",
" 0.86057346, 0.8610929 , 0.86160968, 0.8621238 , 0.8626353 ,\n",
" 0.86314417, 0.86365043, 0.8641541 , 0.86465519, 0.86515372,\n",
" 0.86564968, 0.86614311, 0.86663401, 0.86712239, 0.86760827,\n",
" 0.86809166, 0.86857257, 0.86905102, 0.86952702, 0.87000057,\n",
" 0.8704717 , 0.87094042, 0.87140673, 0.87187066, 0.87233221,\n",
" 0.87279139, 0.87324822, 0.87370271, 0.87415487, 0.87460471,\n",
" 0.87505225, 0.8754975 , 0.87594046, 0.87638115, 0.87681959,\n",
" 0.87725578, 0.87768973, 0.87812146, 0.87855098, 0.87897829,\n",
" 0.87940342, 0.87982637, 0.88024715, 0.88066577, 0.88108225,\n",
" 0.8814966 , 0.88190882, 0.88231893, 0.88272694, 0.88313286,\n",
" 0.8835367 , 0.88393846, 0.88433817, 0.88473584, 0.88513146,\n",
" 0.88552506, 0.88591664, 0.88630621, 0.88669379, 0.88707938,\n",
" 0.88746299, 0.88784464, 0.88822433, 0.88860208, 0.88897789,\n",
" 0.88935178, 0.88972375, 0.89009381, 0.89046198, 0.89082826,\n",
" 0.89119267, 0.89155521, 0.89191588, 0.89227472, 0.89263171,\n",
" 0.89298687, 0.89334022, 0.89369175, 0.89404148, 0.89438942,\n",
" 0.89507996, 0.89542258, 0.89576344, 0.89610255, 0.89643993,\n",
" 0.89677558, 0.89710951, 0.89744173, 0.89777224, 0.89810106,\n",
" 0.8984282 , 0.89875366, 0.89939959, 0.90003891, 0.90098566,\n",
" 0.90313883, 0.90373993, 0.90433488, 0.90463008, 0.90492376,\n",
" 0.90521593, 0.90550661, 0.9057958 , 0.90608351, 0.90636974,\n",
" 0.90665451, 0.90693781, 0.90721967, 0.90750008, 0.90777905,\n",
" 0.9080566 , 0.90833272, 0.90860743, 0.90888073, 0.90915263,\n",
" 0.90942313, 0.90969225, 0.90995999, 0.91022636, 0.91049137,\n",
" 0.91075501, 0.91101731, 0.91127826, 0.91153787, 0.91179616,\n",
" 0.91205311, 0.91230876, 0.91256309, 0.91281612, 0.91306785,\n",
" 0.9133183 , 0.91356746, 0.91381534, 0.91406195, 0.9143073 ,\n",
" 0.9145514 , 0.91479424, 0.91503583, 0.91527619, 0.91551532,\n",
" 0.91575322, 0.91598991, 0.91622538, 0.91645964, 0.9166927 ,\n",
" 0.91692457, 0.91715525, 0.91738475, 0.91761307, 0.91784022,\n",
" 0.91806621, 0.91829104, 0.91851472, 0.91873725, 0.91895865,\n",
" 0.9191789 , 0.91939803, 0.91961604, 0.91983293, 0.9200487 ,\n",
" 0.92026338, 0.92047695, 0.92068943, 0.92090081, 0.92111112,\n",
" 0.92132035, 0.92173559, 0.92194162, 0.92214659, 0.92235051,\n",
" 0.92255339, 0.92275523, 0.92295603, 0.9231558 , 0.92335455,\n",
" 0.92355229, 0.923749 , 0.92394471, 0.92413942, 0.92433313,\n",
" 0.92452585, 0.92471758, 0.92490833, 0.9250981 , 0.92528689,\n",
" 0.92547472, 0.92566159, 0.9258475 , 0.92603246, 0.92621647,\n",
" 0.92639953, 0.92658166, 0.92676286, 0.92694313, 0.92712247,\n",
" 0.92730089, 0.9274784 , 0.927655 , 0.9278307 , 0.92800549,\n",
" 0.92817939, 0.9283524 , 0.92852452, 0.92869576, 0.92886612,\n",
" 0.92903561, 0.92920423, 0.92937199, 0.92953889, 0.92970493,\n",
" 0.92987012, 0.93003446, 0.93019797, 0.93036063, 0.93052246,\n",
" 0.93068346, 0.93084364, 0.93100299, 0.93116153, 0.93131926,\n",
" 0.93147618, 0.93163229, 0.93178761, 0.93194213, 0.93209585,\n",
" 0.93224879, 0.93240095, 0.93255232, 0.93270292, 0.93285275,\n",
" 0.93300181, 0.93315011, 0.93344443, 0.93359046, 0.93373574,\n",
" 0.93388027, 0.93402407, 0.93416713, 0.93430945, 0.93445105,\n",
" 0.93459192, 0.93473207, 0.9348715 , 0.93501021, 0.93514822,\n",
" 0.93528552, 0.93542211, 0.93555801, 0.93569321, 0.93582771,\n",
" 0.93596153, 0.93609466, 0.93622711, 0.93635888, 0.93648997,\n",
" 0.93662039, 0.93675015, 0.93687924, 0.93700766, 0.93713543,\n",
" 0.93726255, 0.93738901, 0.93751483, 0.93764 , 0.93776453,\n",
" 0.93788842, 0.93801168, 0.9381343 , 0.9382563 , 0.93837767,\n",
" 0.93849842, 0.93861855, 0.93873807, 0.93885697, 0.93897526,\n",
" 0.93909295, 0.93921003, 0.93932652, 0.93944241, 0.9395577 ,\n",
" 0.9396724 , 0.93978652, 0.94012537, 0.94023716, 0.94034838,\n",
" 0.94045903, 0.94056912, 0.94067864, 0.9407876 , 0.940896 ,\n",
" 0.94100384, 0.94121788, 0.94132407, 0.94142972, 0.94153483,\n",
" 0.9416394 , 0.94174344, 0.94184694, 0.94194991, 0.94205236,\n",
" 0.94215428, 0.94225568, 0.94245691, 0.9426561 , 0.94275492,\n",
" 0.94285324, 0.94295106, 0.94304837, 0.94314519, 0.94324151,\n",
" 0.94333733, 0.94343267, 0.94352751, 0.94362187, 0.94371575,\n",
" 0.94380915, 0.94390207, 0.94399451, 0.94408647, 0.944269 ,\n",
" 0.94435956, 0.94444966, 0.94480545, 0.94489326, 0.94498062,\n",
" 0.94506754, 0.94515401, 0.94524003, 0.94532562, 0.94541076,\n",
" 0.94549548, 0.94557975, 0.9456636 , 0.94574701, 0.94583 ,\n",
" 0.94591256, 0.9459947 , 0.94607642, 0.94615772, 0.9462386 ,\n",
" 0.94631907, 0.94639912, 0.94647877, 0.94655801, 0.94663684,\n",
" 0.94671526, 0.94679329, 0.94687092, 0.94694814, 0.94702498,\n",
" 0.94710142, 0.94717746, 0.94725312, 0.94732839, 0.94740327,\n",
" 0.94747777, 0.94755189, 0.94762563, 0.94769899, 0.94777198,\n",
" 0.94784459, 0.94791683, 0.94798869, 0.94806019, 0.94813133,\n",
" 0.9482021 , 0.9482725 , 0.94848157, 0.94855054, 0.94861916,\n",
" 0.94868743, 0.94875535, 0.94882292, 0.94889015, 0.94895703,\n",
" 0.94902357, 0.94908977, 0.94915562, 0.94922115, 0.94928633,\n",
" 0.94935118, 0.9494157 , 0.94947989, 0.94954375, 0.94960728,\n",
" 0.94967048, 0.94973337, 0.94979593, 0.94985817, 0.94992009,\n",
" 0.94998169, 0.95004298, 0.95010395, 0.95016461, 0.95022496,\n",
" 0.950285 , 0.95034474, 0.95040417, 0.95046329, 0.95052211,\n",
" 0.95058063, 0.95063885, 0.95069677, 0.95075439, 0.95081172,\n",
" 0.95086875, 0.95092549, 0.95098195, 0.95103811, 0.95109398,\n",
" 0.95114957, 0.95120487, 0.95125989, 0.95131463, 0.95136909,\n",
" 0.95142327, 0.95147717, 0.95153079, 0.95158414, 0.95163722,\n",
" 0.95169002, 0.95174256, 0.95179482, 0.95184682, 0.95189855,\n",
" 0.95195001, 0.95200121, 0.95205215, 0.95210283, 0.95215325,\n",
" 0.95220341, 0.95225331, 0.95230296, 0.95235235, 0.95240149,\n",
" 0.95245038, 0.95249902, 0.95254741, 0.95259555, 0.95264344,\n",
" 0.95269109, 0.95273849, 0.95278565, 0.95283257, 0.95287925,\n",
" 0.95292569, 0.95297189, 0.95301786, 0.95306359, 0.95310908,\n",
" 0.95315435, 0.95319938, 0.95324418, 0.95328875, 0.95333309,\n",
" 0.9533772 , 0.95342109, 0.95346475, 0.95350819, 0.95355141,\n",
" 0.95359441, 0.95363718, 0.95367974, 0.95372207, 0.9538061 ,\n",
" 0.95388927, 0.95393053, 0.95397159, 0.95401243, 0.95405306,\n",
" 0.95409349, 0.9541337 , 0.95417372, 0.95421352, 0.95425313,\n",
" 0.95429253, 0.95433172, 0.95437072, 0.95440952, 0.95444812,\n",
" 0.95448652, 0.95452472, 0.95460054, 0.95471282, 0.95478672,\n",
" 0.95485986, 0.95493226, 0.95496818, 0.95500392, 0.95503947,\n",
" 0.95507484, 0.95511003, 0.95514504, 0.95517987, 0.95521452,\n",
" 0.95528329, 0.95531741, 0.95535135, 0.95538513, 0.95541873,\n",
" 0.95548541, 0.95561674, 0.95564915, 0.95568139, 0.95571347,\n",
" 0.95574539, 0.95580873, 0.95587143, 0.95590254, 0.95596427,\n",
" 0.95599491, 0.9560557 , 0.95611587, 0.95614572, 0.95617543,\n",
" 0.95637912, 0.95643599, 0.9564642 , 0.95654798, 0.95660312,\n",
" 0.95663047, 0.95665769, 0.95668477, 0.95671171, 0.95673851,\n",
" 0.95676518, 0.9567917 , 0.95681809, 0.95684435, 0.95687047,\n",
" 0.95689646, 0.95692231, 0.95694804, 0.95697363, 0.95699909,\n",
" 0.95702442, 0.95704961, 0.95707468, 0.95709963, 0.95712444,\n",
" 0.95714913, 0.95717369, 0.95719812, 0.95722243, 0.95724661,\n",
" 0.95727067, 0.95729461, 0.95731843, 0.95734212, 0.95736569,\n",
" 0.95738914, 0.95741247, 0.95743568, 0.95745877, 0.95748174,\n",
" 0.9575046 , 0.95752734, 0.95754996, 0.95757247, 0.95759486,\n",
" 0.95761713, 0.95763929, 0.95766134, 0.95768328, 0.9577051 ,\n",
" 0.95772681, 0.95774841, 0.9577699 , 0.95779128, 0.95781255,\n",
" 0.95783371, 0.95785476, 0.95787571, 0.95789654, 0.95791727,\n",
" 0.9579379 , 0.95795841, 0.95797883, 0.95799914, 0.95801934,\n",
" 0.95803944, 0.95805944, 0.95807933, 0.95809913, 0.95811882,\n",
" 0.95813841, 0.9581579 , 0.95817729, 0.95819658, 0.95821578,\n",
" 0.95823487, 0.95825387, 0.95827277, 0.95829157, 0.95831027,\n",
" 0.95832888, 0.9583474 , 0.95836582, 0.95838414, 0.95840237,\n",
" 0.95842051, 0.95843856, 0.95845651, 0.95847437, 0.95849214,\n",
" 0.9585274 , 0.9585449 , 0.95856231, 0.95857963, 0.95859686,\n",
" 0.958614 , 0.95863105, 0.95864802, 0.9586649 , 0.95868169,\n",
" 0.9586984 , 0.95871502, 0.95873156, 0.95874801, 0.95876437,\n",
" 0.95878066, 0.95879686, 0.95881297, 0.95882901, 0.95884496,\n",
" 0.95886083, 0.95887662, 0.95889233, 0.95890795, 0.9589235 ,\n",
" 0.95893897, 0.95895436, 0.95896967, 0.9589849 , 0.95900005,\n",
" 0.95901512, 0.95903012, 0.95904504, 0.95905989, 0.95907466,\n",
" 0.95908935, 0.95910397, 0.95911851, 0.95913298, 0.95914737,\n",
" 0.95916169, 0.95917594, 0.95919012, 0.95920422, 0.9592322 ,\n",
" 0.95924609, 0.9592599 , 0.95927365, 0.95928732, 0.95930092,\n",
" 0.95931446, 0.95932792, 0.95934132, 0.95939422, 0.95940727,\n",
" 0.95942026, 0.95943318, 0.95948421, 0.95950934, 0.95954654,\n",
" 0.95958318, 0.95961925, 0.95963116, 0.959643 , 0.95965478,\n",
" 0.9596665 , 0.95967816, 0.95968976, 0.9597013 , 0.95971278,\n",
" 0.95972421, 0.95973557, 0.95974688, 0.95975813, 0.95976932,\n",
" 0.95978045, 0.95979153, 0.95980255, 0.95981351, 0.95982442,\n",
" 0.95983527, 0.95984606, 0.9598568 , 0.95986749, 0.95987812,\n",
" 0.95988869, 0.95989922, 0.95990968, 0.9599201 , 0.95993046,\n",
" 0.95994077, 0.95995102, 0.95996122, 0.95997137, 0.95998147,\n",
" 0.95999152, 0.96000151, 0.96001146, 0.96002135, 0.96003119,\n",
" 0.96004098, 0.96005072, 0.96006042, 0.96007965, 0.96008919,\n",
" 0.96009869, 0.96010813, 0.96011753, 0.96012688, 0.96013618,\n",
" 0.96014543, 0.96015464, 0.9601638 , 0.96018198, 0.960191 ,\n",
" 0.96019997, 0.9602089 , 0.96021778, 0.96022661, 0.9602354 ,\n",
" 0.96024415, 0.96025285, 0.9602615 , 0.96027011, 0.96027868,\n",
" 0.96028721, 0.96029568, 0.96030412, 0.96031251, 0.96032086,\n",
" 0.96032917, 0.96033744, 0.96034566, 0.96035384, 0.96036198,\n",
" 0.96037007, 0.96037813, 0.96038614, 0.96039411, 0.96040205,\n",
" 0.96040994, 0.96041779, 0.96043337, 0.9604411 , 0.96045644,\n",
" 0.96046406, 0.96048666, 0.96049412, 0.96050154, 0.96053084,\n",
" 0.96053807, 0.96055242, 0.96055954, 0.96056662, 0.96057367,\n",
" 0.96058068, 0.96058766, 0.9606015 , 0.96060837, 0.96062201,\n",
" 0.96062877, 0.9606355 , 0.96066863, 0.96068165, 0.96069453,\n",
" 0.96070092, 0.96070728, 0.96071361, 0.96071991, 0.96072617,\n",
" 0.9607324 , 0.9607386 , 0.96074476, 0.9607509 , 0.960757 ,\n",
" 0.96076307, 0.96076912, 0.96077513, 0.96078111, 0.96079886,\n",
" 0.96082211, 0.96083356, 0.96083924, 0.96085051, 0.96085611,\n",
" 0.96086167, 0.96086721, 0.96087271, 0.96087819, 0.96088365,\n",
" 0.96088907, 0.96089446, 0.96089983, 0.96090517, 0.96091049,\n",
" 0.96091577, 0.96092103, 0.96092626, 0.96093665, 0.9609418 ,\n",
" 0.96094692, 0.96095202, 0.96095709, 0.96096214, 0.96096716,\n",
" 0.96097216, 0.96097713, 0.96098207, 0.96098699, 0.96099188,\n",
" 0.96099675, 0.9610016 , 0.96100642, 0.96101121, 0.96101598,\n",
" 0.96102073, 0.96102545, 0.96103014, 0.96103482, 0.96103946,\n",
" 0.96104409, 0.96105782, 0.96106235, 0.96106686, 0.96107135,\n",
" 0.96107581, 0.96108025, 0.96108466])"
]
},
"execution_count": 234,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"func(xdata, popt[0], popt[1])"
]
},
{
"cell_type": "code",
"execution_count": 235,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"data": {
"text/plain": [
"[<matplotlib.lines.Line2D at 0x7eff746ffac8>]"
]
},
"execution_count": 235,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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hOsz4yhDjq8LUlAU0K0ZExoR0eu4LgS3Oua0AZvYQcCNwKNydc8uH7P8icEsm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\nRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7eff746ff828>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"pl.plot(xdata, ydata)\n",
"pl.plot(xdata, func(xdata, popt[0], popt[1]))"
]
},
{
"cell_type": "code",
"execution_count": 236,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"data": {
"text/plain": [
"array([ 0.96194202, 1.42706192])"
]
},
"execution_count": 236,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"popt"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"# Conversion rates over time"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"The proportion of veep impressions that were touched to invoke the VEEPIO SDK is around 3%. When this occurred, one or more veep track rectangles were touched in 33% of cases, invoking the web view. It is likely that the spikes in conversion rates in the first eight days of VEEPIO usage were caused by stakeholders \"testing\" or demonstrating the VEEPIO SDK at a time when the number of ordinary users on the VEEPIO SDK was low due to low quantity or prominence of VEEP'd content. This does not significantly affect the overall conversion rates."
]
},
{
"cell_type": "code",
"execution_count": 237,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0.0296163317121\n",
"0.326253953909\n"
]
},
{
"data": {
"image/png": 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IJOfOOS8AAACY2TSXK++bZJcklyf5dpJvdvdVc80KAAAAVmCa3pV/I0mq6lZJ7pXkPVW1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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7eff76260a20>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"first_event_times = df.groupby(by=['veepID', 'consumerID', 'eventName']).client_local_timestamp.min().unstack().loc[:, ['previewVeepView', 'veepView', 'veepSelect']]\n",
"first_event_times['time_select'] = first_event_times['veepSelect']\n",
"first_event_times['time_view'] = first_event_times['veepView']\n",
"first_event_times['time_see'] = first_event_times['previewVeepView']\n",
"first_event_times['did_select'] = ~first_event_times['time_select'].isnull()\n",
"first_event_times['did_view'] = first_event_times['did_select'] | ~first_event_times['time_view'].isnull()\n",
"first_event_times['did_see'] = first_event_times['did_view'] | ~first_event_times['time_see'].isnull()\n",
"\n",
"print(first_event_times.did_view.sum()/first_event_times.did_see.sum())\n",
"print(first_event_times.did_select.sum()/first_event_times.did_view.sum())\n",
"\n",
"conversion_counts = first_event_times.set_index('time_see').resample('1d').sum()\n",
"conversion_counts = conversion_counts[conversion_counts['did_see'] > 20]\n",
"ax = (conversion_counts['did_view']/conversion_counts['did_see']).plot.bar(figsize=(16,8))# .mean().plot()\n",
"\n",
"ax.yaxis.set_major_formatter(FuncFormatter(lambda y, _: '{:.0%}'.format(y)))\n",
"\n",
"ax.xaxis.label.set_text(\"Date\")\n",
"ax.yaxis.label.set_text('% of VEEPIO impressions which were touched'.format(client_timezone))\n",
"\n",
"ax.xaxis.set_ticklabels(conversion_counts.index.date)\n",
"None"
]
},
{
"cell_type": "code",
"execution_count": 238,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"data": {
"image/png": 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kE0k+n+TIzJot76nPJPlMd797mH5VZsXwF6vqmkky/P3S2jcNRe4DkzwryeOTPCDJ25Pc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\n9r1ACgAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7eff75d63278>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"conversion_counts = conversion_counts[conversion_counts['did_view'] > 20]\n",
"ax = (conversion_counts['did_select']/conversion_counts['did_view']).plot.bar(figsize=(16,8))\n",
"\n",
"ax.yaxis.set_major_formatter(FuncFormatter(lambda y, _: '{:.0%}'.format(y)))\n",
"\n",
"ax.xaxis.label.set_text(\"Date\")\n",
"ax.yaxis.label.set_text('% of cases where rectangles were touched'.format(client_timezone))\n",
"ax.xaxis.set_ticklabels(conversion_counts.index.date)\n",
"None"
]
},
{
"cell_type": "code",
"execution_count": 239,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
"impressions['creation_hour_of_day'] = pd.Series(impressions.set_index('veep_created').tz_convert(client_timezone).index, index=impressions.index).dt.hour\n",
"impressions['consumption_hour_of_day'] = (impressions.timestamp + pd.to_timedelta(impressions.timezone, unit='s')).dt.hour"
]
},
{
"cell_type": "code",
"execution_count": 240,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
"total_impressions = impressions.shape[0]\n",
"total_veeps = impressions.veepID.nunique()\n",
"\n",
"hours = np.arange(0, 24)\n",
"\n",
"# Number of veeps by creation hour of day\n",
"nv_crehod = impressions.drop_duplicates(subset='veepID').groupby(by='creation_hour_of_day').eventID.count()\n",
"nv_crehod = pd.Series(nv_crehod, index=hours).fillna(0)\n",
"\n",
"# Percentage of veeps by creation hour of day\n",
"pv_crehod = (nv_crehod/total_veeps).fillna(0)\n",
"\n",
"# Number of impressions by creation hour of day\n",
"ni_crehod = pd.Series(impressions.creation_hour_of_day.value_counts(), index=hours).fillna(0)\n",
"\n",
"# Percentage of impressions by creation hour of day\n",
"pi_crehod = (ni_crehod/total_impressions).fillna(0)\n",
"\n",
"# Impressions per veep by creation hour of day\n",
"ipv_crehod = (ni_crehod/nv_crehod).fillna(0)\n",
"\n",
"# Percentage of impressions by consumer hour of day\n",
"pi_conhod = pd.Series(impressions.consumption_hour_of_day.value_counts(), index=hours).fillna(0)/total_impressions\n",
"\n",
"# Percentage of impressions by consumer hour of day and creator hour of day\n",
"vc_creconhod = impressions.groupby(by=('creation_hour_of_day', 'consumption_hour_of_day')).eventID.count()/total_impressions\n",
"vc_creconhod = pd.Series(vc_creconhod, pd.MultiIndex.from_product([hours, hours])).unstack().fillna(0)\n",
"\n",
"# Standard deviation in number of impressions per veep by creation hour of day\n",
"stdipv_crehod = impressions.groupby(by=[\"creation_hour_of_day\", \"veepID\"]).eventID.count().groupby(level=0).std()\n",
"stdipv_crehod = pd.Series(stdipv_crehod, index=hours).fillna(0)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Effect of VEEP Creation Time\n",
"\n",
"Early afternoon appears to be the most common time for veep creation. Veeps were created at most times of day apart from at night."
]
},
{
"cell_type": "code",
"execution_count": 241,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"data": {
"image/png": 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v1d0f6e5fSfL4JDdN8scbmgoAAAB2wVqrKydJqurumR26/LAk/5Lk5UlO2uBcAAAAsNNW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\nADCM/wPGs5ZmrUuirgAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7eff74968128>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"ax = pv_crehod.plot.bar(figsize=(16, 8))\n",
"\n",
"ax.yaxis.set_major_formatter(FuncFormatter(lambda y, _: '{:.0%}'.format(y)))\n",
"\n",
"ax.xaxis.label.set_text(\"Creation hour of day ({})\".format(client_timezone))\n",
"ax.yaxis.label.set_text('% of VEEPs created')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Over 60% of impressions were recorded from veeps that were created during the early afternoon."
]
},
{
"cell_type": "code",
"execution_count": 242,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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M5H45yXlV9f7MzqX9qSQfq6pjk6S7t7ryMQAAAKy1eUru26fLZh9aTBQAAAC4euZZXfm1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\nAABgGEouAAAAw/j/AWyaD065/G70AAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7eff762bbda0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"ax = pi_crehod.plot.bar(figsize=(16, 8))\n",
"\n",
"ax.yaxis.set_major_formatter(FuncFormatter(lambda y, _: '{:.0%}'.format(y)))\n",
"\n",
"ax.xaxis.label.set_text(\"Creation hour of day ({})\".format(client_timezone))\n",
"ax.yaxis.label.set_text('% of impressions')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Veeps created during the afternoon were seen the most by the Philadelphia Eagles users, although there is a high variability in the number of impressions received by each veep.\n",
"\n",
"Internal note to VEEPIO: Other factors may be involved here, and artificially linked to the creation hour of day. For instance, if one person always posts mid afternoon, and that person happens to VEEP the most prominent content, or posts images that are more interesting to users when compared to other VEEP creators. Or, if other types of interesting content is posted at other times of day that dilutes the attention.\n",
"\n",
"Internal VEEPIO note TL:DR; Please try not to jump to the conclusion that the best time to post content is between 13:00 and 17:00 EST, at least until the analysis is complete :)"
]
},
{
"cell_type": "code",
"execution_count": 243,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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aPgAAAGBT2GXhrapjuvtxVXVGkt7x9u6+50yTAQDMwZbDj1t1mwvPu3iqbc/fdvC6ZALg\n2tndDO9zhs+/uBFBAAAAYD3tcpXm7v7ycPFrSb7Q3RckuUGSH03y7xuQDQAAAK61aU5L9OEkN6yq\n2yd5b5InJXnDLEMBAADAWk1TeKu7L0/yqCSv7O7HJrnHbGMBAADA2kxVeKvqAZmcf3d5ZYY9ZhcJ\nAAAA1m6a8/A+N8nzkryju8+qqjsn+eBsYwEAsNJqK0JbORrgv5vmPLwfSvKhJKmq6yX5Wnc/e9bB\nAAAAYC1W3aW5qt5SVTetqh9IcmaSs6vqt2cfDQAAAK69aY7hPbC7L03yyCQnJNk/k5WaAQAAYGFN\nU3j3qqq9Mim8x3b3d5L0bGMBAADA2kyzaNWrk5yf5JNJPlxVd0py6SxDAQAA1z0WZ2O9TbNo1RFJ\njlgxdEFV/ezsIgEAAMDaTbNo1W2r6rVVdcJw/cAkh848GQAAAKzBNMfwviHJe5Lcbrj+2UzOzQsA\nAAALa5pjeG/d3cdU1fOSpLu/W1VXzjgXwHXeascnJY5lAgDYnWlmeC+rqltlWJm5qu6f5JszTQUA\nAABrNM0M728mOTbJXarq/yTZO8ljZpoKAAAA1mi3hbeqrpfkhkl+JskPJakknxnOxQsAAAALa7eF\nt7uvqqpXdPe9kpy1QZkAAABgzaY5hvfEqnp0VdXM0wAAAMA6mabw/lqStyX5dlVdWlXfqqpLZ5wL\nAAAA1mTVRau6+yYbEQQAAADW0zSrNKeqHpXkJzM5NdFHuvudM00FAAAAa7TqLs1V9cok/yvJGUnO\nTPK/quoVsw4GAAAAazHNDO/PJfnh7u4kqaqjYsVmAAAAFtw0i1adm2S/FdfvOIwBAADAwppmhvcm\nSc6pqpOH6z+W5NSqOjZJuvvhswoHAAAA19Y0hfcPZp4CAAAA1tk0pyX6UJJU1U1Xbt/dl8wwFwAA\nAKzJqoW3qg5L8sdJ/ivJVUkqk9MT3Xm20QAAAODam2aX5t9O8iPd/bVZh1k0S0tLSZLt27fPNQcA\nAADX3DSrNH8+yeWzDgIAAADraZoZ3ucl+WhVnZTkiuXB7n72zFIBAADAGk1TeF+d5ANJzsjkGF4A\nAABYeNMU3r26+zdnngQAAADW0TTH8J5QVYdV1b5Vdcvlj5knAwAAgDWYZob3icPn560Yc1oiAAAA\nFtqqhbe799+IIAAAALCedll4q+rnuvsDVfWond3e3W+fXSwAAABYm93N8P5MJqszP2wnt3UShRcA\nAICFtcvC290vGD4/dePiAAAAwPqYZpVmAAAA2HQUXgAAAEZJ4QUAAGCUpiq8VfXjVXVIVT15+WOK\n+7yuqr5aVWeuGLtlVb2vqj43fL7FMF5VdURVnVtVn6qqe6+4z6HD9p+rqkOvzRcJAADAdc+q5+Gt\nqjcluUuS05NcOQx3kjeuctc3JPnrHbY7PMmJ3b2tqg4frv9ukockOWD4uF+SVyW5X1XdMskLkmwd\nnvO0qjq2u78+1VcHAMB1ypbDj9vt7Reed/FU2yXJ+dsOXpdMwPysWngzKZsHdndfkwfu7g9X1ZYd\nhh+RZGm4fFSS7ZkU3kckeePwHB+rqptX1b7Dtu/r7kuSpKrel+TBSd56TbIAAABw3TPNLs1nJtln\nnZ7vtt395eHyhUluO1y+fZIvrNjui8PYrsYBAABgt6aZ4b11krOr6uQkVywPdvfD1/LE3d1VdY1m\njXenqg5LcliS7Lfffuv1sAAAAGxS0xTeP1zH5/tKVe3b3V8edln+6jD+pSR3XLHdHYaxL+V7u0Av\nj2/f2QN395FJjkySrVu3rluRBoCx2KzHNu5zyLYNey6Aa2ppaSlJsn379rnmYOdWLbzd/aF1fL5j\nkxyaZNvw+V0rxp9ZVUdnsmjVN4dS/J4kf7a8mnOSByV53jrmAQAAYKSmWaX5/klenuSHk1w/yR5J\nLuvum65yv7dmMjt766r6YiarLW9LckxVPT3JBUkeN2x+fJKHJjk3yeVJnpok3X1JVb0wySnDdn+8\nvIAVAAAA7M40uzT/dZInJHlbJis2PznJ3Va7U3c/cRc3PXAn23aSZ+zicV6X5HVT5AQAAICrTbNK\nc7r73CR7dPeV3f36TE4NBAAArIOlpaWrjwUF1s80M7yXV9X1k5xeVS9O8uVMWZQBAABgXqYprk8a\ntntmkssyWU350bMMBQAAAGs1zSrNF1TVjZLs291/tAGZAAAAYM1WneGtqoclOT3Ju4frB1XVsbMO\nBgAAAGsxzS7Nf5jkvkm+kSTdfXqS/WeYCQAAANZsmkWrvtPd36yqlWM9ozwAAIzEPodsm3cE4Dpu\nmsJ7VlUdkmSPqjogybOTfHS2sQAAAGBtptml+VlJ7pHkiiRvTXJpkufOMhQAAACs1TSrNF+e5PeH\nDwAAANgUdll4V1uJubsfvv5xAAAAYH3sbob3AUm+kMluzCclqd1sCwAAAAtld4V3nyS/kOSJSQ5J\nclySt3b3WRsRDAAAANZil4tWdfeV3f3u7j40yf2TnJtke1U9c8PSAQAAwLW020WrquoGSQ7OZJZ3\nS5Ijkrxj9rEAAABgbXa3aNUbk/xIkuOT/FF3n7lhqQAAAGCNdjfD+z+TXJbkOUmeXXX1mlWVpLv7\npjPOBgAAANfaLgtvd+/y+N6x2HL4cbu9/cLzLp5qu/O3HbxumQAAAFgfoy+1AAAAXDcpvAAAAIyS\nwgsAAMAoKbwAAACMksILAADAKCm8AAAAjJLCCwAAwCgpvAAAAIySwgsAAMAoKbwAAACMksILMIWl\npaUsLS3NOwYAANeAwgsAAMAoKbwAAACMksILAADAKO057wAAAMDG2nL4catuc+F5F0+17fnbDl6X\nTDALZngBAAAYJYUXAACAUVJ4AQAAGCWFFwAAgFFSeAEAABglhRcAAIBRUngBAAAYJYUXAACAUVJ4\nAQAAGCWFFwAAgFFSeAEYvaWlpSwtLc07BgCwwRReAAAARknhBQAAYJQUXgAAAEZJ4QUAAGCUFF4A\nAABGSeEFAABglBReAAAARknhBWBdOectALAo9px3AAAAgEW15fDjdnv7heddPNV25287eN0yMT0z\nvAAAAIySGV4ANj3vvrPR9jlk27wjADAFhRcAAGZotTfbEm/MwazYpRkAAIBRUngBAAAYJbs074bj\ncwAAADYvhRcg67foUeL4KgCARWGXZgAAAEZJ4QUAAGCUFF4AAABGSeEFAABglBReAAAARskqzQCM\nntPMAcB1kxleAAAARknhBQAAYJTs0gzA1LYcftyq21x43sVTbXv+toPXJRMAwK6Y4QUAAGCUFF4A\nAABGSeEFAABglBReAAAARknhBQAAYJQUXgAAAEZJ4QUAAGCUnIcXAGAE9jlk27wjACwcM7wAAACM\nksILAADAKCm8AAAAjJLCCwAAwCgpvAAAAIySwgsAc7C0tJSlpaV5xwCAUVN4AQAAGCWFFwAAgFHa\nc94BABiXfQ7ZNu8IAABJNlHhraoHJ3lZkj2SvKa7vaICYGFtOfy43d5+4XkXT7Xd+dsOXrdMAHBd\nsyl2aa6qPZK8IslDkhyY5IlVdeB8UwEAALDINssM732TnNvd5yVJVR2d5BFJzp5rKuBaWW1Ga1pm\nvgAA2J3q7nlnWFVVPSbJg7v7V4brT0pyv+5+5optDktyWJLst99+97ngggvmkhUYp+XTx2zfvn2u\nOXa0qLlY3SL+7BYxE6y3Rf13voi5ZJrOIma6Lqiq07p762rbbZYZ3lV195FJjkySrVu3Ln6LBzYV\n/4mx3vybgvnwuwfXLZviGN4kX0pyxxXX7zCMAQAAwE5tlsJ7SpIDqmr/qrp+kickOXbOmQAAAFhg\nm2KX5u7+blU9M8l7Mjkt0eu6+6w5xwIAAGCBbYrCmyTdfXyS4+edAwAAgM1hs+zSDAAAANeIwgsA\nAMAoKbwAAACMksILAADAKCm8AAAAjJLCCwAAwCgpvAAAAIySwgsAAMAoKbwAAACMksILAADAKCm8\nAAAAjJLCCwAAwCjtOe8AAAAAm9X27dvnHYHdMMMLAADAKCm8AAAAjJJdmgEAYM7sFguzofACAEm8\n4AZgfOzSDAAAwCgpvAAAAIySXZoBAIBNwaEXXFNmeAEAABglhRcAAIBRUngBAAAYJcfwAmxijmUC\nANg1M7wAAACMksILAADAKCm8AAAAjJLCCwAAwCgpvAAAAIySwgsAAMAoKbwAAACMksILAADAKCm8\nAAAAjJLCCwAAwCgpvAAAAIySwgsAAMAoKbwAAACMksILAADAKCm8AAAAjJLCCwAAwCgpvAAAAIyS\nwgsAAMAoKbwAAACMksILAADAKCm8AAAAjJLCCwAAwCgpvAAAAIySwgsAAMAoKbwAAACMksILAADA\nKO057wAAAMDi2b59+7wjwJqZ4QUAAGCUFF4AAABGSeEFAABglBReAAAARknhBQAAYJQUXgAAAEZJ\n4QUAAGCUFF4AAABGSeEFAABglBReAAAARknhBQAAYJQUXgAAAEZJ4QUAAGCUFF4AAABGSeEFAABg\nlBReAAAARknhBQAAYJQUXgAAAEZJ4QUAAGCUqrvnnWHdVdVFSS5Yp4e7dZKvrdNjrReZpreIuWSa\njkzTW8RcMk1HpuktYi6ZpiPT9BYxl0zTkWl665XrTt2992objbLwrqeqOrW7t847x0oyTW8Rc8k0\nHZmmt4i5ZJqOTNNbxFwyTUem6S1iLpmmI9P0NjqXXZoBAAAYJYUXAACAUVJ4V3fkvAPshEzTW8Rc\nMk1HpuktYi6ZpiPT9BYxl0zTkWl6i5hLpunINL0NzeUYXgAAAEbJDC8AAACjpPACAAAwSgovAAAA\no7TnvAMsmqq6e5JHJLn9MPSlJMd29znzS7V4hu/T7ZOc1N3/sWL8wd397jllum+S7u5TqurAJA9O\n8unuPn4eeXamqt7Y3U+ed46Vquonk9w3yZnd/d45ZbhfknO6+9KqulGSw5PcO8nZSf6su785h0zP\nTvKO7v7CRj/3rlTV9ZM8Icm/d/f7q+qQJD+e5JwkR3b3d+aU685JHpXkjkmuTPLZJG/p7kvnkQcA\nYJkZ3hWq6neTHJ2kkpw8fFSSt1bV4fPMtjNV9dQ5Pe+zk7wrybOSnFlVj1hx85/NKdMLkhyR5FVV\n9edJ/jrJDyQ5vKp+f06Zjt3h45+SPGr5+jwyDblOXnH5VzP5Xt0kyQvm+O/8dUkuHy6/LMnNkrxo\nGHv9nDK9MMlJVfWRqvr1qtp7TjlWen2Sg5M8p6relOSxSU5K8mNJXjOPQMPfg79JcsMhxw0yKb4f\nq6qleWSCjVJVt5l3hs2gqm417wxsXlV1s6raVlWfrqpLquriqjpnGLv5vPPtqKpOmNPz3rSq/ryq\n3jS8Ib7ytlfOKdM+VfWqqnpFVd2qqv6wqs6oqmOqat8Ny2GV5u+pqs8muceOsyTDrMpZ3X3AfJLt\nXFX9W3fvN4fnPSPJA7r7P6pqS5J/SPKm7n5ZVX2iu+81p0wHZfJi+8Ikd1gxW3hSd99zDpk+nskM\n5WuSdIY3TzKZoUt3f2ijMw25rv4ZVdUpSR7a3RdV1Q8k+Vh3/z9zyHROd//wcPnj3X3vFbed3t0H\nzSHTJ5LcJ8nPJ3l8kocnOS2Tn+Hbu/tbc8j0qe6+Z1XtmcneJ7fr7iurqpJ8ck7/zs9IctCQ48ZJ\nju/uparaL8m75vH3YMh1syTPS/LIJLfJ5Hfwq5m8Wbetu78xj1y7UlUndPdD5vC8N83k+3SHJCd0\n91tW3PbK7v71jc40PPc+SV6Q5Kokf5DJG6yPzmRvhud095fnkOmWOw5l8jfhXpm8nrpkDpmu3qtq\n+Df/V5m88XRmkt/o7q/MIdO2JH/Z3V+rqq1Jjsnk57hXkifP4/++4f/jtyd5a3d/fqOff1eG789f\nZPL3/HmZvPl730z2kjmsuz8xh0w/mOR3Mvl9u0OSbyf5fJK/6e43bHSeIdN7knwgyVHdfeEwtk+S\nQ5M8sLsfNIdM997VTUn+ubs3rMxd/cRV/5jkc0k+luRpSb6T5JDuvmLH11YbmOndSY7LZBLqkCRv\nTvKWTP5v/vnufsRu7r5u7NL8/a5KcrskF+wwvu9w24arqk/t6qYkt93ILCtcb3k35u4+f5jF+Yeq\nutOQax78MasJAAAMJElEQVS+291XJrm8qj6/vCtld/9nVc3lZ5dka5LnJPn9JL/d3adX1X/Oq+iu\ncL2qukUme3hUd1+UJN19WVV9d06Zzqyqp3b365N8sqq2dvepVXW3TP5gz0N391VJ3pvkvVW1V5KH\nJHlikr9MMo8Z3+sNb8D9QJIbZzITfkkmb/TsNYc8y/bMZFfmGyT5wSTp7n8bvmfzckwmL5CWdvIC\n6Zgki/YCacPf1Bm8PpMXSP+Y5GlV9egML5CS3H9OmZLkDfnei6QPZvIi6aGZvEj6m0wOPdpoX8t/\nf31w+yQfz+QNlTtveKLJXlXLhxG9JMmXkzwsk0MMXp3J92ujHdzdy3sL/UWSxw+HGt0tkxe6W+eQ\n6RZJbp7kg1V1YSZvXP59d//7HLKs9MpM3ti5eZKPZvImxS9U1QOH2x4wh0xvTvKOJP8jyeMy+R08\nOsnzq+pu3f17c8i0pbtftHJg+Lv+oqp62hzyJMkpST6Unb/undes8126+9HD5XcOezh+oKoePqc8\nSXLb7n55klTVr6/4Ob68qp6+USEU3u/33CQnVtXnkiwft7dfkrsmeeacMt02kz86X99hvDL54zgP\nX6mqg7r79CQZZnp/MZN3Jjd8dnDw7aq6cXdfnsmsXJKr3/GeS+EdytJLq+ptw+evZDF+526WyaxE\nJemq2re7vzy8qzuvNyx+JcnLqur5mbyo/L9V9YVMfg9/ZU6Zvu97Mez5cWySY4eZzHl4bZJPJ9kj\nkzdS3lZV52VSTI6eU6bXJDmlqk5K8lOZ7IqeYRfwDZ/xWsELpOks4gukZEFeJO3gt5P8QiZvYJ4x\nZPvX7t5/Tnl2tHXF3jAvrapD55Rjz6ras7u/m+RG3X1KknT3Z6vqBnPK9PXu/q0kv1VVP5XJG5cf\nr6pzMpn1PXJOufbq7hOSpKpe1N3/kCTdfWJV/eWcMm1ZMZP7V1V1Sne/sCaH0Z2dZB6F94Kq+p1M\nZni/kiRVddskT8n3Xq9vtHOS/Fp3f27HG4bXL/Nwg6q63vD6M939p1X1pSQfzvBm9BysPHz2jTvc\ntsdGhViEF98Lo7vfPbwDed98/6JVpwyzh/Pwz0l+cLlcrlRV2zc+TpLkyUm+byZw+I/tyVX16vlE\nyk8PMxLLRXPZXpnM6MxNd38xyWOr6uAkc1/Ep7u37OKmq5L80gZGudqwKNVTht0r98/kb9MX57E7\n3gqP39UNwxsrG667X1pVfz9c/veqemMmu1z/bXefvPt7zyzTy6rq/Ul+OMlLuvvTw/hFSX56HpkG\nXiBNZxFfICUL8iJppe5+yfD799Lh5/WCTGZ25+k2VfWbmbyJctOqqv7esWrzWqfllUmOH3ZtfndV\nvSyT3Yl/Lsl/ey2z0br7I0k+UlXPyuQNjMcnmVfh/a+qelAmb0R3VT2yu99ZVT+TyV4z83BZVf1k\nd//L8MbXJcnktdVw+Mw8PD6TxSw/NPwd7yRfyeRN6MfNKdMfZte/Y8/awBwr/VMmv2fvXx7o7jcM\nezW8fE6Z3lVVP9jd/9Hdz18erKq7JvnMRoVwDC8AozPstn94Jru+Li8stPwCaVt377jXzEZkekyS\nM7r7v/0nv/xCdw6ZXpzkvd39/h3GH5zk5T2ntSuq6o+TvLhXnAVgGL9rJj+/x8wj14ocD89kpmtL\nd+8zxxwv2GHolcOaDPtk8v2by1kBhkOd/neSu2XyBuYXkrwzyeuGN8g3Os/R3f2EjX7e1VTVjyZ5\ncSZvOP9GJt+zQzOZbPnV7t7wPfmq6p6Z7LlzQJKzkjxtmJ3fO8kTu/uIjc405Lp7JscUf6wX5+wg\ni3jGkl1lesjy3gQLlGnDvk8KLwDXKSuOF18YMk1vUXLVZFHEu3T3mYuSaSWZprOImZLFzDWvTDU5\nG8AzMtlL5qBMFq5713DbvBZjWsRMz8rkEEyZdsyh8AJwXVJzWuF+d2Sa3iLmkmk6Mk1vEXPNK1Mt\n7tlBZNokmRzDC8Do1AKucC/T9BYxl0zTkWl6i5hrETNlMc8OItMmyqTwAjBGi7jCvUzTW8RcMk1H\npuktYq5FzLSIZweRaRNlUngBGKNFXOFepuktYi6ZpiPT9BYx1yJmWsSzg8g0nYXI5BheAAAARmle\n52gDAACAmVJ4AQAAGCWFF4BNr6r2qaqjq+rzVXVaVR1fVXdbp8d+blXdeMX146vq5uvwuG+oqses\n9XHW8Px7V9VJVfWJqvqp3Wy3VFX/vE7Pea+qeu1w+SlVdVFVnb7i48Cqul5VHVFVZ1bVGVV1SlXt\nP2Q9var+bYf7bamq91fVLdYjIwDjYtEqADa1qqok70hyVHc/YRj70UxWG/3siu32HBbLuKaem+Tv\nklyeJN390DWHnqGq2qO7r5xi0wcmOaO7f2XWmVb4vSR/suL633f3M1duUFVPTHK7JPfs7quq6g5J\nLuvu+w23PyXJ1pX3q6o3Jfn1JH864/wAbDJmeAHY7H42yXe6+2+WB7r7k939kWF28iNVdWySs5Ok\nqv5nVZ08zA6+uqr2GMZfVVWnVtVZVfVHw9izMylfH6yqDw5j51fVrYfLvznMRJ5ZVc8dxrZU1TlV\n9bfDY723qm60i+w/XVUfrarzlmd7a+IvVsxwPn4Y/76Z1qr666H8LWd6UVV9PMljVz7BkOcDVfWp\nqjqxqvarqoOSvDjJI4bvw412uM+Dq+rTw+M9asX4favq/w6zwh+tqh8axj88PObydv8yvOmw8jFv\nkkmJ/eQuf5IT+yb5cndflSTd/cXu3vEUKTs6NskTV9kGgOsghReAze5Hkpy2m9vvneQ53X23qvrh\nJI9P8hPdfVCSK5P88rDd73f31iT3TPIzVXXP7j4iyb8n+dnu/tmVD1pV90ny1CT3S3L/JL9aVfca\nbj4gySu6+x5JvpHk0bvItm+Sn0zyi0m2DWOPSnJQkh9N8vNJ/qKq9p3i+3Bxd9+7u4/eYfzlmcx+\n3zPJm5McMZxy5A8ymWE9qLv/c8XXdcMkf5vkYUnuk2SfFY/16SQ/1d33Gu7/Z8P4a5M8Zbj/3ZLc\ncCfFdmuSM3cYe/wOuzTfKMkxSR42XH/Jiu/pLg2F+AZVdavVtgXgukXhBWDsTu7ufx0uPzCTEndK\nVZ0+XL/zcNvjhhnNTyS5R5IDV3ncn0zyju6+rLv/I8nbkywfC/uvK85jeVqSLbt4jHd291XdfXYm\nu2AvP+5bu/vK7v5Kkg8l+bEpvs6/38X4A5K8Zbj8puHxd+fuQ/7P9eTchX+34rabJXlbVZ2Z5KWZ\nfJ+S5G1JfrGq9krytCRv2Mnj7pvkoh0zD4V7+eM/u/uLSX4oyfOSXJXkxKp64CqZk+SrmczGA8DV\nHMMLwGZ3VpLdLf502YrLlcls5/NWblBV+yf5rSQ/1t1fr6o3JLnhGjJdseLylUl2tUvzyu1qlcf8\nbr7/jeod812W2Xthkg929y9V1ZYk25Okuy+vqvcleUSSx2XypsKO/jNTfk+7+4okJyQ5oaq+kuSR\nSU5c5W43HJ4DAK5mhheAze4DmezOetjyQFXdcxcrD5+Y5DFVdZthu1tW1Z2S3DSTwvjNqrptkoes\nuM+3ktxkJ4/1kSSPrKobV9UPJPmlYWytPpLJrr57VNXeSX46yclJLkhyYFXdoCarRE8z65kkH03y\nhOHyL0+R8dNJtlTVXYbrK4+NvVmSLw2Xn7LD/V6T5Igkp+zimNtzktx1tbBVde+qut1w+XqZ7GJ+\nwSr3qUx2vT5/tccH4LpF4QVgUxt2u/2lJD9fk9MSnZXkz5NcuJNtz07y/CTvrapPJXlfkn2H400/\nkUnZe0uS/7PibkcmeffyolUrHuvjmey6e3KSk5K8prs/sQ5f0juSfCrJJzMp87/T3Rd29xcyOb71\nzOHztM/1rCRPHb7eJyV5zu427u7/SnJYkuOGXby/uuLmFyf586r6RHbYS6y7T0tyaZLX7+JxP53k\nZsPiVct2PIb3x5PcJsk/DbtNfyqTme2/XuVrvE+Sj13LVbgBGLGavE4AALj2hlnZ7UnuvrzC8k62\n+Y0k3+ru16zzc78sybHdvdpuzwBcx5jhBQDWpKqenMks9+/vquwOXpXvP255vZyp7AKwM2Z4AQAA\nGCUzvAAAAIySwgsAAMAoKbwAAACMksILAADAKCm8AAAAjJLCCwAAwCj9/7ZCkT6nKsW9AAAAAElF\nTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7eff74302748>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"ax = ipv_crehod.plot.bar(figsize=(16, 8), yerr=stdipv_crehod)\n",
"\n",
"ax.xaxis.label.set_text(\"Creation hour of day ({})\".format(client_timezone))\n",
"ax.yaxis.label.set_text('Mean impressions per veep')\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# VEEP consumption time\n",
"\n",
"VEEPs are generally seen in the Philadelphia Eagles app in user's daytime and evening. The evening is roughly twice as popular as the afternoon for viewing VEEP'd content."
]
},
{
"cell_type": "code",
"execution_count": 244,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"data": {
"image/png": 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2ux+yHkEAAABgWqsezbiqrltVx1bVuVX1tap6a1VdZz3CAQAAwFKmOTXPa5K8PsneSa6Z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\nYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7eff76588a58>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"ax = vc_conhod.plot.bar(figsize=(16, 8))\n",
"\n",
"ax.yaxis.set_major_formatter(FuncFormatter(lambda y, _: '{:.0%}'.format(y)))\n",
"\n",
"ax.xaxis.label.set_text(\"Impression hour of day (Time zone of consumer)\")\n",
"ax.yaxis.label.set_text('% of VEEP impressions')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The graph below is another way of showing the effect of consumer hour of day, and the effect of creation time of day, as though the two were superimposed. The proportion of impressions is represented by the colour, while the vertical axis represents creation hour of day, and the horizontal axis represents consumption hour of day.\n",
"\n",
"If users always viewed content at regular times of day, regardless of when the content was posted, and whether they had already seen the content, we would expect to see a similar horizontal pattern for each row.\n",
"\n",
"If users viewed content based the availability of new content, or time since it was posted, i.e. as a reaction to push notifications or regularly checking for new content, we would expect to see a diagonal line with coloured streaks to the right of it. These areas can wrap around to the left, which would show users who view the new content after midnight on the day it was posted.\n",
"\n",
"Both modes of user behaviour can be seen in this graph."
]
},
{
"cell_type": "code",
"execution_count": 245,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"data": {
"image/png": 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sNgrRX9Zae1mSVNW/Hsuktfaeqvq6hXcGAABLaqM50S9Zs/yOw85zdA4AAE5Y836w8PBv\nrxj4bRYAALBcNgrRbZ3lI53+PFX1/Kq6sqrev2bdGVX1xqr68PT79M5+AQBg020Uou9cVc+qqmev\nWT50+k5z3PYLkzz4sHVPTXJBa+0emR0y76nH0jQAAGymjT5Y+LNrli887LzDT3+e1trbququh61+\nWJLzpuUXJXlLkv/jaLcFAADLZN0Q3Vp70QLqndVau3xa/mSSsxZQAwAAFmrd6RxV9dyq+op1zju5\nqn6oqh59rIVbay0bzK2uqidU1YVVdeGBdtOxlgEAgONuo+kcv53kF6rqK5O8P8lVSfYluUeSU5M8\nP8mLO+tdUVVnt9Yun7758Mr1Lthae06S5yTJqTu+4KgfZAQAgFE2ms7x3iSPqKpTkpyb2TcX3pjk\nktbah46x3quTPDbJ06ffrzrG2wEAgE2z0Uh0kqS1dl1mHwDsUlUvzexDhLevqo8n+cXMwvPLq+qH\nk1yW5BG9twsAAJvtqCH6WLXWHrXOWQ9cVE0AABhho+NEAwAAR3DUED19sBAAAJjMMxL9O1X1rqr6\nT1V1u4V3BAAAS+6oIbq19o1JHp3kLkkuqqqXVNW3LbwzAABYUnPNiW6tfTjJz2f2Fd3fnORZVfXB\nqvreRTYHAADLaJ450f+mqp6R5JIk35LkO1trXz4tP2PB/QEAwNKZ5xB3z07yB0l+rrV246GVrbV/\nrqqfX1hnAACwpOb5spVv3uC8Pzq+7QAAwPI7aoiuqnsk+W9J7p1k36H1rbW7L7AvAABYWvNM53hB\nZl/Z/YwkD0jy+Iz+kpbW0g7sH1qSLay1gbVWxtXaBO3gwW1db7ibbtrsDoAB7MtODPOE4ZNaaxck\nqdbaZa21pyX5jsW2BQAAy2uekeibq2pHkg9X1ZOSfCLJKYttCwAAltc8I9E/keQ2SX48ydck+cEk\nj11kUwAAsMzmOTrHu6fF6zKbDw0AACe0dUN0Vb0mybqf0GqtfddCOgIAgCW30Uj0r02/vzfJFyb5\n4+n0o5JcscimAABgma0boltrb02Sqvr11tq5a856TVVduPDOAABgSc3zwcKTq+pfv1ilqu6W5OTF\ntQQAAMttnkPc/WSSt1TVR5NUki9O8oSFdgUAAEtsnqNzvH766u97Tas+2Fq7ebFtAQDA8ppnJDpT\naP67BfcCAABbwjxzogEAgDXWDdFV9Q3T773j2gEAgOW30Uj0s6bf7xjRCAAAbBUbzYk+UFXPSXKn\nqnrW4We21n58cW0BAMDy2ihEPzTJtyb5d0kuGtMOAAAsv42+sfBTSV5WVZe01hyZAwAAJvMcneNf\nqur8qrpy+nlFVd154Z0BAMCSmidEvyDJq5Pccfp5zbQOAABOSPOE6Du01l7QWjs4/bwwyZkL7gsA\nAJbWPCH6U1X1mKraOf08Jsm/LLoxAABYVvOE6B9K8ogkn0xyeZKHJ3n8IpsCAIBlttEh7pIkrbXL\nknzXgF4AAGBLmGckGgAAWEOIBgCAThuG6KraUVWPGNUMAABsBRuG6NbaapL/PKgXAADYEo76wcIk\nf1VVP5PkT5Jcf2hla+3TC+vqcFWpvXuHlcvKyrhaSdrgehxHNXZGVO2e5yV7HOvt3Dm0XlZXx9Yb\nbcfgGXSDH8866aSh9dIGby+jXw/b+L2hbnvbsQUPHhxaru3fP7TecAe2+eN543wXm+cd+ZHT7yeu\nWdeS3L2vIwAA2B7mOcTd3UY0AgAAW8VRQ3RV/YcjrW+t/eHxbwcAAJbfPNM57rtmeV+SByb52yRC\nNAAAJ6R5pnM8ee3pqjotycsW1hEAACy5Y/mo+PVJzJMGAOCENc+c6NdkdjSOJNmZ5MuTvHyRTQEA\nwDKbZ070r61ZPpjkstbaxxfUDwAALL2jTudorb01yQeT3DbJ6Um2+RHEAQBgY0cN0VX1iCTvSvL9\nSR6R5J1V9fBFNwYAAMtqnukc/yXJfVtrVyZJVZ2Z5K+S/NkiGwMAgGU1z9E5dhwK0JN/mfN6AACw\nLc0zEv36qvrLJC+dTj8yyesW1xIAACy3eb5s5Wer6vuSfMO06jmttfMX2xYAACyveUai01p7RZJX\nLLgXAADYEuY5Osf3VtWHq+rqqrqmqq6tqmtGNAcAAMtonpHoX0nyna21SxbdDAAAbAXzHGXjCgEa\nAABuse5IdFV977R4YVX9SZI/T3LzofNba69ccG8AALCUNprO8Z1rlm9I8qA1p1sSIRoAgBPSuiG6\ntfb4kY0AAMBW4ZsHAQCgkxANAACdhGgAAOh01ONEV9XeJN+X5K5rL99a++XFtQUAAMtrni9beVWS\nq5NclDWHuAMAgBPVPCH6zq21By+8EwAA2CLmCdFvr6qvbK1dvPBu1nPyvqx89ZcPK7f7MzcOq5Uk\ndc31Q+u1G24YWm+02rdvWK12ym2G1UqSg2ecPLRe21lD6+3YvzK0Xts59mMh1drQejefvndovVod\ne//+6UHzvIUdP7e756eH1vv0VacOrVfXDnw8d4zdVmpl7L5s99Vj9y0re8c+njv3Dy2XU/5pbL08\n54/nutg8r5j7J3lcVf1jZtM5Kklrrf2bY+8OAAC2rnlC9EMW3gUAAGwhR/1/Q2vtsiSnZfY14N+Z\n5LRpHQAAnJCOGqKr6ieSvDjJHaafP66qJy+6MQAAWFbzTOf44SRf21q7Pkmq6r8neUeSZy+yMQAA\nWFbzfHy0kqz9yPzKtA4AAE5I84xEvyDJO6vq/On0dyd53uJaAgCA5XbUEN1a+42qektmh7pLkse3\n1t6z0K4AAGCJrRuiq+rU1to1VXVGkkunn0PnndFaG3vUeQAAWBIbjUS/JMlDk1yUZO1X4dR0+u4L\n7AsAAJbWuiG6tfbQ6ffdxrUDAADLb57jRF8wzzoAADhRbDQnel+S2yS5fVWdnlsOa3dqkjsN6A0A\nAJbSRnOifzTJU5LcMbN50YdC9DVJfmvBfQEAwNLaaE70byb5zap6cmvNtxMCAMBknuNEP7uqviLJ\nvZPsW7P+DxfZGAAALKujhuiq+sUk52UWol+X5CFJ/mcSIRoAgBPSUY/OkeThSR6Y5JOttccn+aok\nt1toVwAAsMTmCdE3ttZWkxysqlOTXJnkLottCwAAltdRp3MkubCqTkvy3MyO0nFdkncstCsAAFhi\n83yw8D9Ni79XVa9Pcmpr7X2LbQsAAJbXPN9YWFX1mKr6hdbapUk+W1X3W3xrAACwnOaZE/07Sb4+\nyaOm09cm+e2FdQQAAEtunjnRX9tau09VvSdJWmufqao9C+4LAACW1jwj0QeqameSliRVdWaS1YV2\nBQAAS2yeEP2sJOcnuUNV/dfMvmjl/11oVwAAsMTmOTrHi6vqosy+cKWSfHdr7ZKFdwYAAEtqwxA9\nTeP4QGvtXkk+OKalI2hJrbRh5erGm4fVSpIcODC0XNs/tl5WB8/+2TXPVP+taef1g7fNqqHl2q55\n/jl2/NTquP1KktTBsa+FvZ8ZWi7X3vU2Q+vd+YKVofUuv+ELhtY7/zHPHFrv6f/8kGG13vn3XzKs\nVpLsumrs+8KOwW+zu24Yu68eff/2XLucs4g3fMdqra0k+VBVfdGgfgAAYOnN86fZ6Uk+UFXvSnL9\noZWtte9aWFcAALDE5gnR/9fCuwAAgC1k3RBdVV+a5KzW2lsPW3//JJcvujEAAFhWG82JfmaSa46w\n/urpPAAAOCFtFKLPaq1dfPjKad1dF9YRAAAsuY1C9GkbnHfS8W4EAAC2io1C9IVV9R8PX1lVP5Lk\nosW1BAAAy22jo3M8Jcn5VfXo3BKaz02yJ8n3LLoxAABYVuuG6NbaFUn+bVU9IMlXTKtf21p705DO\nAABgSR31ONGttTcnefOAXgAAYEvY8Gu/AQCAzydEAwBAJyEaAAA6CdEAANBJiAYAgE5CNAAAdBKi\nAQCgkxANAACdhGgAAOgkRAMAQCchGgAAOgnRAADQSYgGAIBOQjQAAHQSogEAoJMQDQAAnXZtdgPz\nOHjSjnz6K24zrN5pe3cOq5Ukuz9z49B6O67ZN7ReDq4MLddOPXlYrZvPOmVYrSS5/o67h9ZrVUPr\n1WobWm9l79j7t+fa1aH1dhwcWi419u7lxtuPfQs76aqx28tf33DPofVedrc3Dav12rPePqxWknz0\n5rOG1vvQDV84tN6Ze64dWu8D1549tN67P3D3ofXy0vkuZiQaAAA6CdEAANBJiAYAgE5CNAAAdBKi\nAQCgkxANAACdhGgAAOgkRAMAQCchGgAAOi0sRFfV86vqyqp6/5p1T6uqT1TVe6efb19UfQAAWJRF\njkS/MMmDj7D+Ga21c6af1y2wPgAALMTCQnRr7W1JPr2o2wcAgM2yGXOin1RV75ume5y+CfUBAOBW\nGR2ifzfJlyQ5J8nlSX59vQtW1ROq6sKquvDgTdeP6g8AAI5qaIhurV3RWltpra0meW6S+21w2ee0\n1s5trZ27a9/J45oEAICjGBqiq+rsNSe/J8n717ssAAAsq12LuuGqemmS85Lcvqo+nuQXk5xXVeck\naUkuTfKji6oPAACLsrAQ3Vp71BFWP29R9QAAYBTfWAgAAJ2EaAAA6CREAwBAJyEaAAA6CdEAANBJ\niAYAgE5CNAAAdBKiAQCgkxANAACdFvaNhcfT7usO5g5vu2pYvbr62mG1kqTdcOPQeqsrK0PrZXC9\nuvqaYbX2XX3bYbWSZO/ltxlaLwcHbytVY+sNVqMfz9bG1ht9/wZre3cPrfc//sfXDK330vs8ZFit\na+8ydgzvpKvGvhb2Xrs6tF4bPCRag1/qX/qp/UPrfWzOyxmJBgCATkI0AAB0EqIBAKCTEA0AAJ2E\naAAA6CREAwBAJyEaAAA6CdEAANBJiAYAgE5CNAAAdBKiAQCgkxANAACdhGgAAOgkRAMAQCchGgAA\nOgnRAADQSYgGAIBOQjQAAHQSogEAoJMQDQAAnYRoAADoJEQDAEAnIRoAADoJ0QAA0EmIBgCATkI0\nAAB0EqIBAKDTrs1uYC77D6T98xXDyq3u3z+sVpK0AweH1huurQ4tVwfHPZ41eFupa64dWi87amy9\nGvx3/c6x9drQakkGvhaSjH/+VlbG1tu5c2y9XWPfok/7q88Oq3Xq3e44rFaS1IGx20odHPu+N1rd\ncNPQeu2z1wytNy8j0QAA0EmIBgCATkI0AAB0EqIBAKCTEA0AAJ2EaAAA6CREAwBAJyEaAAA6CdEA\nANBJiAYAgE5CNAAAdBKiAQCgkxANAACdhGgAAOgkRAMAQCchGgAAOgnRAADQSYgGAIBOQjQAAHQS\nogEAoJMQDQAAnYRoAADoJEQDAEAnIRoAADoJ0QAA0EmIBgCATrs2u4F5tNXVrF5/w8iC42olSWtj\n621z7eDBbVkrSXLzzWPrjVaD/64f/Vofzb5la9uxc2i52lHjil18/bhaSeqkfUPrZe/eoeXa1deM\nrTe0WtJWlnNfbSQaAAA6CdEAANBJiAYAgE5CNAAAdBKiAQCgkxANAACdhGgAAOgkRAMAQCchGgAA\nOgnRAADQSYgGAIBOQjQAAHQSogEAoJMQDQAAnYRoAADoJEQDAEAnIRoAADoJ0QAA0EmIBgCATkI0\nAAB0EqIBAKCTEA0AAJ2EaAAA6CREAwBAJyEaAAA6CdEAANBJiAYAgE67NruBedSundl52u2G1Wv7\nDwyrNau3f2i9rLax9drq2Ho17m/D2rN7WK1ZvT1D62Xn2L+za/fYx3O0dnBlbMGDB8fWG/1a37lz\nbL2qoeXazWPfG2rvwP1LG/w+tGts3GlnnTG23l3uMLTejmtvGlvvhrH18rH5LmYkGgAAOgnRAADQ\nSYgGAIBOQjQAAHQSogEAoJMQDQAAnYRoAADoJEQDAEAnIRoAADoJ0QAA0EmIBgCATkI0AAB0EqIB\nAKCTEA0AAJ2EaAAA6CREAwBAJyEaAAA6CdEAANBJiAYAgE5CNAAAdBKiAQCgkxANAACdhGgAAOgk\nRAMAQCchGgAAOgnRAADQSYgGAIBOuza7gbnUjtS+fePqHTg4rlaS7Nw5tFxbHXz/trMdg/8O3bN7\naLnaPbbecK0NLVf7Bu9yD4zdPtvK6tB62VFj662sDC1Xg1/vqYHbSxv8WA7eV9dnrhtab+ULTx9a\nr520Z2jzDB47AAANfElEQVS90a+9eRmJBgCATkI0AAB0EqIBAKCTEA0AAJ2EaAAA6CREAwBAJyEa\nAAA6CdEAANBJiAYAgE4LC9FVdZeqenNV/X1VfaCqfmJaf0ZVvbGqPjz9Hvs1OwAAcCstciT6YJKf\nbq3dO8nXJXliVd07yVOTXNBau0eSC6bTAACwZSwsRLfWLm+t/e20fG2SS5LcKcnDkrxoutiLknz3\nonoAAIBFGDInuqrumuSrk7wzyVmttcunsz6Z5KwRPQAAwPGy8BBdVackeUWSp7TWrll7XmutJWnr\nXO8JVXVhVV24f/XGRbcJAABzW2iIrqrdmQXoF7fWXjmtvqKqzp7OPzvJlUe6bmvtOa21c1tr5+7Z\ncdIi2wQAgC6LPDpHJXlekktaa7+x5qxXJ3nstPzYJK9aVA8AALAIuxZ429+Q5AeTXFxV753W/VyS\npyd5eVX9cJLLkjxigT0AAMBxt7AQ3Vr7n0lqnbMfuKi6AACwaL6xEAAAOgnRAADQSYgGAIBOQjQA\nAHQSogEAoJMQDQAAnYRoAADoJEQDAEAnIRoAADot8mu/j5t28EBWrrhyXL3VNqzWVHBwvcH3r9b7\n4spFWRlX6saxz1278cah9VKD/87eMXhbGf1aH33/Rtvu+87tbuTrffRzt3Pn2HqjXXnV2HqD39dX\nV5bztW4kGgAAOgnRAADQSYgGAIBOQjQAAHQSogEAoJMQDQAAnYRoAADoJEQDAEAnIRoAADoJ0QAA\n0EmIBgCATkI0AAB0EqIBAKCTEA0AAJ2EaAAA6CREAwBAJyEaAAA6CdEAANBJiAYAgE5CNAAAdBKi\nAQCgkxANAACdhGgAAOgkRAMAQCchGgAAOgnRAADQSYgGAIBOuza7gbm0pK2sbHYXi9PaZnewWNv4\n/rWDB8cWrBpcb/Bzd3B1bL3RtvFrAbqM3pdt5wyxCezJZoxEAwBAJyEaAAA6CdEAANBJiAYAgE5C\nNAAAdBKiAQCgkxANAACdhGgAAOgkRAMAQCchGgAAOgnRAADQSYgGAIBOQjQAAHQSogEAoJMQDQAA\nnYRoAADoJEQDAEAnIRoAADoJ0QAA0EmIBgCATkI0AAB0EqIBAKCTEA0AAJ2EaAAA6CREAwBAJyEa\nAAA6CdEAANBp12Y3MLfWNrsD2HyjXwdtZWw94MTgPZ1twEg0AAB0EqIBAKCTEA0AAJ2EaAAA6CRE\nAwBAJyEaAAA6CdEAANBJiAYAgE5CNAAAdBKiAQCgkxANAACdhGgAAOgkRAMAQCchGgAAOgnRAADQ\nSYgGAIBOQjQAAHQSogEAoJMQDQAAnYRoAADoJEQDAEAnIRoAADoJ0QAA0EmIBgCATkI0AAB0EqIB\nAKCTEA0AAJ2qtbbZPRxVVV2V5LJjuOrtk3zqOLfD9mRboYfthXnZVuhhe1kOX9xaO/NoF9oSIfpY\nVdWFrbVzN7sPlp9thR62F+ZlW6GH7WVrMZ0DAAA6CdEAANBpu4fo52x2A2wZJ9y2UlXXbXYP66mq\nH6uq/3Acbue8qvqL49HTYebeXqrqV6vqA1X1q0e53KVVdftb21jNvKmqvriq3jv9fLKqPrHm9J6q\nevutrbWMqurMqnpnVb2nqr5xs/vJcd63VNVDq+qXj+dtslROuPeirWxbz4kG1ldV17XWTjnOt7mr\ntXbweN7mrVFV5yX5mdbaQ4/z7c59P6vq6iRntNZWjnK5S5Oc21q7VR8qqqrvSPKtrbWfXLPuaUmu\na6392q257a2gqn4gs/v/I5vdy/FWVbuSrCT52yTf0Fq7YZNbghPadh+JBo5iGq19a1W9qqo+WlVP\nr6pHV9W7quriqvqS6XIvrKrfq6oLq+ofquqh0/rHVdWrq+pNSS6Y1v1sVb27qt5XVb80rTu5ql5b\nVX9XVe+vqkdO659eVX8/XfbXpnVPq6qfmZbPqaq/mc4/v6pOn9a/par++9TnP2ww6nhKVf1ZVX2w\nql5cVTVd/4HTaOXFVfX8qto7rf/XEeGqOreq3rKmpz+qqv8vyR8d9hjWNOL8/un2Dt23Vyc5JclF\nh9atuc4XVNUbplHqP0hSa87786q6aDrvCdO6H6qqZ665zH+sqmcc4f4+Osmr1n3Cb7n+ddPveZ//\nM6vqFdPz+u6q+oYj3OYfrBntvqqqfnGDx+a86Tk80nPzNVNPF1XVX1bV2Ueoddeajbi/r6ouqKov\nqqpzkvxKkodNPZx02HXuW1Vvn7bBd1XVbatqX1W9YOrtPVX1gOmyj6uqV1bV66vqw1X1K9P6nTV7\nLRy6Pz85rX9LVZ07Ld++Zn8UHbqdP6+qN07b1pOq6qemWn9TVWdMl/uSqdZFVfXXVXWvaf2h1907\nk/xKm418vSXJcf3DEDgGrTU/fvycgD+ZjUwmyXlJPpvk7CR7k3wiyS9N5/1EkmdOyy9M8vrM/vi+\nR5KPJ9mX5HHT8hnT5R6U2b8ka7rsXyT5piTfl+S5a+rfLskXJPlQbvmv2GnT76dlNoKcJO9L8s3T\n8i+v6ectSX59Wv72JH91hPt4XpKrk9x56uUdSe4/9f1PSe45Xe4PkzxlWr40ye2n5XOTvGVNTxcl\nOekIdb4vyRuT7ExyVpKPJTl77eN8hOs8K8kvTMvfkaStqXvosTwpyfunx+mUJP9/kt3TeW9P8pVH\nuN3Lktz2sHX/+njeiuf/JUnuPy1/UZJLNti2vjjJJdPvIz42Gzw3u6f7duZ0W49M8vwj1HhNksdO\nyz+U5M+n5ccl+a0jXH5Pko8mue90+tQku5L89KHbT3Kvqb9D2/VHM9tO902P612SfE2SN6653UPb\n7Fsy+09CMjtM2aVr+vlIktsmOXO6zz82nfeM3LLdXZDkHtPy1yZ505rX3V8k2bmm5qOTPHuz9yF+\n/JzoP0aigSR5d2vt8tbazZkFtTdM6y9Octc1l3t5a221tfbhzALGvab1b2ytfXpaftD0857M/u18\nr8xC98VJvq1mo8ff2Fq7OrNAcVOS51XV9yb5nH9PV9XtMgspb51WvSizQH7IK6ffFx3W51rvaq19\nvLW2muS90+W+LMk/ttb+YZ3bXc+rW2s3HmH9/ZO8tLW20lq7Islbk9z3KLf1TUn+OElaa69N8pk1\n5/14Vf1dkr/JLLjdo7V2XZI3JXnoNEq5u7V28RFu94zW2rVz3Je15nn+vzXJb1XVe5O8OsmpVfV5\n04Gqal+SP03y5NbaZdn4sVnvufmKJG+cav18ZkH7cF+fWbBPZv8ZuP9R7uOXJbm8tfbuJGmtXdNm\nU3Lun1uehw9mFpbvOV3ngtba1a21m5L8fWZ/FHw0yd2r6tlV9eAk1xylbpK8ubV2bWvtqsy2+ddM\n6y9Octfpcfy3Sf50us+/n9kfGof8afvc6UBXJrnjHHWBBdq12Q0AS+HmNcura06v5nP3E4d/iOLQ\n6evXrKsk/6219vuHF6mq+2Q2avz/VNUFrbVfrqr7JXlgkocneVKSbzmGvley/v5s7X3b6HKHHMwt\nU932HXbe9Vmwms3j/tYkX99au6Fm00kO9fEHSX4uyQeTvGCdmzhYVTumYDqveZ7/HUm+bgqUG/m9\nJK9srf1VZ91Dz00l+UBr7evnuP6ifV5/rbXPVNVXJfl3SX4sySMyGwnfaLs52uO7I8lnW2vnrNPH\n4dvdviRH+mMOGMhINNDj+6tqxzRP9u6ZTcU43F8m+aFDo5RVdaequkNV3THJDa21P07yq0nuM13m\ndq211yX5ySRftfaGptHqz9Qt851/MLORzFvrQ5mNAH7pEW730sz+ZZ/MpiLM46+TPHKaL3tmZqPM\n7zrKdd6W5N8nSVU9JMnp0/rbJfnMFKDvleTrDl2htfbOzEam/32Sl65zux/K7Lk53t6Q5MmHTkzz\njz9HVT0xs6kkT1+zuvex+VCSM6vq66fb3F1V/9sRLvf2JD8wLT96qrORDyU5u6ruO93ubWv2Qb2/\nnq6fqrpnZlNVjrRdH7qPt0+yo7X2isxGye8znXVpbtluHn6UXj5Ha+2aJP9YVd8/1agpqK/nnplN\n8wE2kZFooMfHMgtAp2Y2r/Om6bNg/6q19oaq+vIk75jOuy7JY5J8aZJfrarVJAeS/O+ZzRN91TQF\noJL81BFqPjbJ71XVbTL7V/rjb+2dmPp+fGb/Pt+V5N2ZjaAmyS9lNr3k/85snus8zs9sesHfZTY6\n/59ba588ynV+KclLq+oDmQXCj03rX5/kx6rqkszC3N8cdr2XJzmntfaZHNlrM5tv/JE5e5/Xjyf5\n7ap6X2bvHW/LbCR2rZ9JcmCakpDMHtPfzxEem0MfnDtca21/VT08ybOm6Ty7kjwzyQcOu+iTk7yg\nqn42yVU5ynYx3e4jkzx7+sDhjZmN+P9Okt+tqoszG01+XGvt5sO36zXuNNU9NAj1f06/fy3Jy2v2\nQdDXbtTLOh499fHzmc0Lf1lmj9mRPGBNXWCTOMQdMJeqemGSv2it/dlm93Iiq9lxr5/RWrtgnfPP\nTvKHrbVvG9sZI1TVWUle0lp74Gb3Aic60zkAtoCqOq2q/iHJjesF6CRprV2e5LlVdeq47hjoizI7\nogiwyYxEAwBAJyPRAADQSYgGAIBOQjQAAHQSogEAoJMQDQAAnYRoAADo9L8AterI1O92LqcAAAAA\nSUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7eff7649a5c0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.pyplot as pl\n",
"fig = pl.figure()\n",
"fig.set_size_inches((12,12))\n",
"ax = pl.matshow(vc_creconhod.as_matrix(), fignum=fig.number)\n",
"\n",
"ax.axes.xaxis.label.set_text(\"Impression hour of day (Time zone of consumer)\")\n",
"ax.axes.yaxis.label.set_text(\"Creation hour of day ({})\".format(client_timezone))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"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": "3.6.1"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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