Untitled (1).ipynb

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       "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,
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   "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",
    "os.chdir(\"C:/Users/oyo/Desktop\")\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)"
   ]
  }
 ],
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