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November 8, 2018 09:12
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{ | |
"cells": [ | |
{ | |
"cell_type": "code", | |
"execution_count": 2, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"1999-01-01 145\n", | |
"1999-01-02 145\n", | |
"1999-01-03 145\n", | |
"1999-01-04 145\n", | |
"1999-01-05 145\n", | |
"Freq: D, Name: y, dtype: int64" | |
] | |
}, | |
"execution_count": 2, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"import pandas as pd\n", | |
"import numpy as np\n", | |
"import calendar\n", | |
"import datetime\n", | |
"import seaborn as sns\n", | |
"import os\n", | |
"import seaborn\n", | |
"import matplotlib.pyplot as plt\n", | |
"from fbprophet import Prophet\n", | |
"import numpy as np\n", | |
"from statsmodels.graphics.tsaplots import plot_acf,plot_pacf\n", | |
"% matplotlib inline\n", | |
"\n", | |
"df=pd.read_csv('Discharge Article/Discharge_processed.csv')\n", | |
"df.columns=['ds','y']\n", | |
" \n", | |
"df.set_index('ds',inplace=True)\n", | |
"ts = pd.Series(df['y'], index=pd.date_range(start=\"1999-01-01\", end=\"2018-07-31\"))\n", | |
"ts.head(5)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 3, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"2018-07-27 1180\n", | |
"2018-07-28 1524\n", | |
"2018-07-29 1226\n", | |
"2018-07-30 997\n", | |
"2018-07-31 851\n", | |
"Freq: D, Name: y, dtype: int64" | |
] | |
}, | |
"execution_count": 3, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"ts.tail(5)" | |
] | |
} | |
], | |
"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": "3.6.5" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 2 | |
} |
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