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@sslampa
Created July 11, 2015 05:01
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Team Archon 3
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{
"cells": [
{
"cell_type": "code",
"collapsed": false,
"input": [
"cd C:\\tmp"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"C:\\tmp\n"
]
}
],
"prompt_number": 1
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import pandas as pd\n",
"import datetime\n",
"import time\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"import create_list\n",
"%matplotlib inline"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 2
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"#amazhs, deernadia, hero_firebat, xixo, zalaehs, orange_hs\n",
"df = pd.read_csv(\"june_final.csv\", header=None, names=['id', 'name', 'followers', 'current_viewers', 'date_time'])"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 3
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# Extracts individual pieces to be used later for the new datetime\n",
"df['years'] = pd.DatetimeIndex(df['date_time']).year\n",
"df['months'] = pd.DatetimeIndex(df['date_time']).month\n",
"df['days'] = pd.DatetimeIndex(df['date_time']).day\n",
"df['hours'] = pd.DatetimeIndex(df['date_time']).hour\n",
"df['minutes'] = pd.DatetimeIndex(df['date_time']).minute"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 4
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"datetime_df = create_list.make_empty_dataframe(df)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 5
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"#deernadia might also be streaming under nvidia\n",
"archon = ['amazhs', 'deernadia', 'hero_firebat', 'xixo', 'zalaehs', 'orange_hs', 'backspacehs', 'purpledrank_hs']\n",
"archon_df = df[df['name'].isin(archon)]"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 6
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"create_list.clean_date(archon_df)"
],
"language": "python",
"metadata": {},
"outputs": []
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"archon_df_agg = archon_df.groupby('test').agg({'current_viewers': 'sum', 'followers': 'sum'})\n",
"archon_df_agg.reset_index(inplace=True)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 8
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"temp_df = pd.merge(datetime_df, archon_df_agg, how='outer', left_index=True, right_on='test')\n",
"temp_df.reset_index(inplace=True)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 9
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"temp_df['current_viewers'].fillna(0, inplace=True)\n",
"temp_df['week'] = pd.DatetimeIndex(temp_df['test']).week\n",
"temp_df['weekday'] = pd.DatetimeIndex(temp_df['test']).weekday"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 10
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"temp_df.drop(['index', 'A'], 1, inplace=True)\n",
"temp_df.set_index('test', inplace=True)\n",
"temp_df.index.name = None"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 11
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"fig2, axes= plt.subplots(nrows=1, ncols=4)\n",
"temp_df[(temp_df['week']==22) | (temp_df['week']==23)].plot(y='current_viewers', ax=axes[0], title='Week 1', figsize=(16,8), sharey=True, ylim=(0,35000))\n",
"temp_df[temp_df['week']==24].plot(y='current_viewers', ax=axes[1], title='Week 2')\n",
"temp_df[temp_df['week']==25].plot(y='current_viewers', ax=axes[2], title='Week 3', figsize=(20,8))\n",
"temp_df[(temp_df['week']==26) | (temp_df['week']==27)].plot(y='current_viewers', ax=axes[3], title='Week 4')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 58,
"text": [
"<matplotlib.axes._subplots.AxesSubplot at 0x1828c4d0>"
]
},
{
"metadata": {},
"output_type": "display_data",
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1n6hhBFSEqfgAACBBwxlGMXUzjHpT0rh5xJRmJWEldHygKKS5CEWvMZnwAcQ2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UdDoLHnYYS+YcNuAMDOg+Mt93fe0u7wvYzz8gohcaS7FxVUsMbLWSdKPZCpxaCHQSgkLUUsikde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\nDknT1q1C0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z0yV9TWxdAnUzvsEgC2I2c9u+I4xZWRnlVvM4AVtm2f6R17G4A32rb9V7l2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\nC0K26TqeTI/JAAAAAElFTkSuQmCC\n",
"text": [
"<matplotlib.figure.Figure at 0x17cd33f0>"
]
}
],
"prompt_number": 58
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"#fig3, axes= plt.subplots(nrows=1, ncols=2)\n"
],
"language": "python",
"metadata": {},
"outputs": []
}
],
"metadata": {}
}
]
}
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