climate_analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "from matplotlib import style\n",
    "style.use('fivethirtyeight')\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import datetime as dt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Reflect Tables into SQLAlchemy ORM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Python SQL toolkit and Object Relational Mapper\n",
    "import sqlalchemy\n",
    "from sqlalchemy.ext.automap import automap_base\n",
    "from sqlalchemy.orm import Session\n",
    "from sqlalchemy import create_engine, func"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "##################################################\n",
    "#  Database Setup\n",
    "##################################################\n",
    "engine = create_engine(\"sqlite:///hawaii.sqlite\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# reflect an existing database into a new model\n",
    "Base = automap_base()\n",
    "\n",
    "# reflect the tables\n",
    "Base.prepare(engine, reflect=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['measurement', 'station']"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# We can view all of the classes that automap found\n",
    "Base.classes.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Save references to each table\n",
    "Measurement = Base.classes.measurement\n",
    "Station = Base.classes.station"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create our session (link) from Python to the DB\n",
    "session = Session(engine)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Exploratory Climate Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1) Precipitation Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Retrieve the Precipitation Data "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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0.44), ('2016-09-05', 0.18), ('2016-09-06', 1.0), ('2016-09-07', 1.35), ('2016-09-08', 0.15), ('2016-09-09', 0.35), ('2016-09-10', 1.16), ('2016-09-11', 0.6), ('2016-09-12', 1.04), ('2016-09-13', 1.2), ('2016-09-14', 6.7), ('2016-09-15', 3.35), ('2016-09-16', 0.61), ('2016-09-17', 0.23), ('2016-09-18', 0.42), ('2016-09-19', 0.25), ('2016-09-20', 0.43), ('2016-09-21', 1.02), ('2016-09-22', 0.75), ('2016-09-23', 0.33), ('2016-09-24', 0.27), ('2016-09-25', 0.04), ('2016-09-26', 1.02), ('2016-09-27', 1.0), ('2016-09-28', 0.05), ('2016-09-29', 1.49), ('2016-09-30', 0.38), ('2016-10-01', 1.02), ('2016-10-02', 0.61), ('2016-10-03', 0.46), ('2016-10-04', 3.46), ('2016-10-05', 0.81), ('2016-10-06', 0.04), ('2016-10-07', 0.01), ('2016-10-08', 0.04), ('2016-10-09', 0.0), ('2016-10-10', 0.0), ('2016-10-11', 0.35), ('2016-10-12', 0.02), ('2016-10-13', 0.06), ('2016-10-14', 0.0), ('2016-10-15', 0.33), ('2016-10-16', 0.0), ('2016-10-17', 0.38), ('2016-10-18', 0.48), ('2016-10-19', 0.0), ('2016-10-20', 1.0), ('2016-10-21', 0.09), ('2016-10-22', 1.37), ('2016-10-23', 0.24), ('2016-10-24', 0.7), ('2016-10-25', 0.4), ('2016-10-26', 0.0), ('2016-10-27', 1.25), ('2016-10-28', 0.37), ('2016-10-29', 0.25), ('2016-10-30', 0.95), ('2016-10-31', 1.35), ('2016-11-01', 0.09), ('2016-11-02', 0.04), ('2016-11-03', 0.02), ('2016-11-04', 0.06), ('2016-11-05', 0.38), ('2016-11-06', 0.05), ('2016-11-07', 0.05), ('2016-11-08', 0.53), ('2016-11-09', 0.04), ('2016-11-10', 0.01), ('2016-11-11', 0.0), ('2016-11-12', 0.0), ('2016-11-13', 0.0), ('2016-11-14', 0.02), ('2016-11-15', 0.05), ('2016-11-16', 0.91), ('2016-11-17', 0.02), ('2016-11-20', None), ('2016-11-21', 2.87), ('2016-11-22', 2.11), ('2016-11-23', 0.22), ('2016-11-24', 0.72), ('2016-11-25', 1.03), ('2016-11-26', 0.3), ('2016-11-27', 0.29), ('2016-11-28', 0.69), ('2016-11-29', 0.2), ('2016-11-30', 0.79), ('2016-12-01', 0.72), ('2016-12-02', 1.27), ('2016-12-03', 1.62), ('2016-12-04', 0.31), ('2016-12-05', 1.6), ('2016-12-06', 0.0), ('2016-12-07', 0.02), ('2016-12-08', 0.03), ('2016-12-09', 0.42), ('2016-12-10', 0.04), ('2016-12-11', 0.13), ('2016-12-12', 0.01), ('2016-12-13', 0.09), ('2016-12-14', 0.33), ('2016-12-15', 0.03), ('2016-12-16', 0.0), ('2016-12-18', None), ('2016-12-19', 0.15), ('2016-12-20', 0.0), ('2016-12-21', 0.55), ('2016-12-22', 1.24), ('2016-12-23', 0.83), ('2016-12-24', 1.08), ('2016-12-25', 0.38), ('2016-12-26', 1.48), ('2016-12-27', 0.14), ('2016-12-28', 0.14), ('2016-12-29', 1.03), ('2016-12-30', 2.37), ('2016-12-31', 0.9), ('2017-01-01', 0.03), ('2017-01-02', 0.0), ('2017-01-03', 0.0), ('2017-01-04', 0.0), ('2017-01-05', 0.47), ('2017-01-06', 0.1), ('2017-01-07', 0.0), ('2017-01-08', 0.03), ('2017-01-09', 0.0), ('2017-01-10', 0.0), ('2017-01-11', 0.0), ('2017-01-12', 0.0), ('2017-01-13', 0.0), ('2017-01-14', 0.0), ('2017-01-15', 0.01), ('2017-01-16', 0.0), ('2017-01-17', 0.0), ('2017-01-18', 0.07), ('2017-01-19', 0.0), ('2017-01-20', 0.0), ('2017-01-21', 0.08), ('2017-01-22', 0.72), ('2017-01-23', 0.85), ('2017-01-24', 1.85), ('2017-01-25', 2.64), ('2017-01-26', 0.1), ('2017-01-27', 0.03), ('2017-01-28', 0.0), ('2017-01-29', 0.55), ('2017-01-30', 0.0), ('2017-01-31', 0.0), ('2017-02-01', 0.0), ('2017-02-02', 0.0), ('2017-02-04', None), ('2017-02-05', 0.0), ('2017-02-06', 0.0), ('2017-02-07', 1.79), ('2017-02-08', 0.0), ('2017-02-09', 0.0), ('2017-02-10', 0.0), ('2017-02-11', 0.73), ('2017-02-12', 1.83), ('2017-02-13', 0.0), ('2017-02-14', 0.01), ('2017-02-15', 0.07), ('2017-02-16', 0.13), ('2017-02-18', None), ('2017-02-19', 0.1), ('2017-02-20', 0.0), ('2017-02-21', 0.07), ('2017-02-22', 0.32), ('2017-02-23', 0.0), ('2017-02-24', 0.0), ('2017-02-25', 0.12), ('2017-02-26', 0.0), ('2017-02-27', 0.0), ('2017-02-28', 0.58), ('2017-03-01', 2.0), ('2017-03-02', 0.58), ('2017-03-03', 0.56), ('2017-03-04', 0.0), ('2017-03-05', 0.35), ('2017-03-06', 0.0), ('2017-03-07', 0.0), ('2017-03-08', 0.0), ('2017-03-09', 0.01), ('2017-03-10', 0.0), ('2017-03-11', 0.0), ('2017-03-13', None), ('2017-03-14', 0.0), ('2017-03-15', 0.0), ('2017-03-16', 0.0), ('2017-03-18', None), ('2017-03-19', 0.0), ('2017-03-20', 0.0), ('2017-03-21', 0.0), ('2017-03-22', 0.0), ('2017-03-23', 0.03), ('2017-03-24', 0.17), ('2017-03-25', 0.48), ('2017-03-26', 0.0), ('2017-03-27', 0.0), ('2017-03-28', 0.68), ('2017-03-29', 0.07), ('2017-03-31', None), ('2017-04-01', 0.2), ('2017-04-02', 0.0), ('2017-04-03', 0.23), ('2017-04-04', 0.02), ('2017-04-05', 0.45), ('2017-04-06', 0.0), ('2017-04-08', None), ('2017-04-09', 0.0), ('2017-04-10', 0.0), ('2017-04-11', 0.25), ('2017-04-12', 0.65), ('2017-04-13', 0.23), ('2017-04-14', 2.82), ('2017-04-15', 0.9), ('2017-04-16', 0.11), ('2017-04-17', 1.3), ('2017-04-18', 0.98), ('2017-04-19', 0.14), ('2017-04-20', 0.0), ('2017-04-21', 1.84), ('2017-04-22', 1.35), ('2017-04-23', 0.35), ('2017-04-24', 0.05), ('2017-04-25', 0.0), ('2017-04-26', 0.22), ('2017-04-27', 0.11), ('2017-04-28', 0.79), ('2017-04-29', 0.0), ('2017-04-30', 0.8), ('2017-05-01', 0.25), ('2017-05-02', 0.0), ('2017-05-04', None), ('2017-05-05', 0.1), ('2017-05-06', 0.0), ('2017-05-07', 0.03), ('2017-05-08', 1.11), ('2017-05-09', 0.23), ('2017-05-10', 0.55), ('2017-05-11', 0.44), ('2017-05-12', 0.1), ('2017-05-13', 0.1), ('2017-05-14', 1.0), ('2017-05-15', 0.6), ('2017-05-16', 0.3), ('2017-05-17', 0.06), ('2017-05-18', 0.0), ('2017-05-20', None), ('2017-05-21', 0.0), ('2017-05-22', 0.3), ('2017-05-23', 0.44), ('2017-05-24', 2.17), ('2017-05-25', 0.88), ('2017-05-26', 0.0), ('2017-05-27', 0.5), ('2017-05-28', 0.0), ('2017-05-30', None), ('2017-06-01', 0.01), ('2017-06-03', None), ('2017-06-04', 0.82), ('2017-06-05', 0.01), ('2017-06-06', 0.0), ('2017-06-07', 0.01), ('2017-06-08', 0.0), ('2017-06-10', None), ('2017-06-11', 0.7), ('2017-06-12', 0.81), ('2017-06-13', 0.65), ('2017-06-14', 0.81), ('2017-06-15', 1.69), ('2017-06-16', 0.1), ('2017-06-17', 0.1), ('2017-06-18', 0.7), ('2017-06-19', 0.4), ('2017-06-20', 0.31), ('2017-06-21', 0.3), ('2017-06-22', 0.28), ('2017-06-23', 0.5), ('2017-06-24', 0.22), ('2017-06-25', 0.5), ('2017-06-26', 0.02), ('2017-06-27', 0.1), ('2017-06-28', 0.02), ('2017-06-29', 0.04), ('2017-06-30', 0.2), ('2017-07-01', 0.1), ('2017-07-02', 0.5), ('2017-07-03', 0.4), ('2017-07-04', 0.0), ('2017-07-05', 0.0), ('2017-07-06', 0.02), ('2017-07-07', 0.3), ('2017-07-08', 0.02), ('2017-07-09', 0.0), ('2017-07-10', 0.02), ('2017-07-11', 0.0), ('2017-07-12', 0.05), ('2017-07-13', 0.68), ('2017-07-14', 0.68), ('2017-07-15', 0.1), ('2017-07-16', 0.5), ('2017-07-17', 0.39), ('2017-07-18', 2.4), ('2017-07-19', 0.27), ('2017-07-20', 0.7), ('2017-07-21', 0.1), ('2017-07-22', 4.0), ('2017-07-23', 0.8), ('2017-07-24', 0.84), ('2017-07-25', 0.3), ('2017-07-26', 0.3), ('2017-07-27', 0.0), ('2017-07-28', 0.4), ('2017-07-29', 0.3), ('2017-07-30', 0.3), ('2017-07-31', 0.0), ('2017-08-01', None), ('2017-08-02', 0.25), ('2017-08-03', 0.06), ('2017-08-05', None), ('2017-08-06', None), ('2017-08-07', 0.05), ('2017-08-08', 0.34), ('2017-08-09', 0.15), ('2017-08-10', 0.07), ('2017-08-11', None), ('2017-08-12', 0.14), ('2017-08-13', None), ('2017-08-14', 0.22), ('2017-08-15', 0.42), ('2017-08-16', 0.42), ('2017-08-17', 0.13), ('2017-08-18', None), ('2017-08-19', 0.09), ('2017-08-20', None), ('2017-08-21', 0.56), ('2017-08-22', 0.5), ('2017-08-23', 0.45)]\n"
     ]
    }
   ],
   "source": [
    "# Design a query to retrieve the last 12 months of precipitation data and plot the results. \n",
    "\n",
    "#Starting from the last data point in the database. \n",
    "prev_year = dt.date(2017, 8, 23)\n",
    "\n",
    "# Calculate the date one year from the last date in data set.\n",
    "prev_year = dt.date(2017, 8, 23) - dt.timedelta(days=365)\n",
    "\n",
    "# Perform a query to retrieve the data and precipitation scores\n",
    "results = []\n",
    "\n",
    "# Save the query results as a Pandas DataFrame and set the index to the date column\n",
    "results = session.query(Measurement.date, Measurement.prcp)\n",
    "\n",
    "# Sort the dataframe by date\n",
    "results = session.query(Measurement.date, Measurement.prcp).filter(Measurement.date >= prev_year).all()\n",
    "print(results)\n",
    "\n",
    "# Use Pandas Plotting with Matplotlib to plot the data\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Save Query Results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      date  precipitation\n",
      "2016-08-23           0.00\n",
      "2016-08-24           0.08\n",
      "2016-08-25           0.08\n",
      "2016-08-26           0.00\n",
      "2016-08-27           0.00\n",
      "2016-08-28           0.01\n",
      "2016-08-29           0.00\n",
      "2016-08-30           0.00\n",
      "2016-08-31           0.13\n",
      "2016-09-01           0.00\n",
      "2016-09-02           0.00\n",
      "2016-09-03           0.00\n",
      "2016-09-04           0.03\n",
      "2016-09-05            NaN\n",
      "2016-09-06            NaN\n",
      "2016-09-07           0.05\n",
      "2016-09-08           0.00\n",
      "2016-09-09           0.03\n",
      "2016-09-10           0.00\n",
      "2016-09-11           0.05\n",
      "2016-09-12           0.00\n",
      "2016-09-13           0.02\n",
      "2016-09-14           1.32\n",
      "2016-09-15           0.42\n",
      "2016-09-16           0.06\n",
      "2016-09-17           0.05\n",
      "2016-09-18           0.00\n",
      "2016-09-19           0.00\n",
      "2016-09-20           0.00\n",
      "2016-09-21           0.00\n",
      "2016-09-22           0.02\n",
      "2016-09-23           0.00\n",
      "2016-09-24           0.00\n",
      "2016-09-25           0.00\n",
      "2016-09-26           0.06\n",
      "2016-09-27           0.02\n",
      "2016-09-28           0.00\n",
      "2016-09-29           0.00\n",
      "2016-09-30           0.00\n",
      "2016-10-01           0.00\n",
      "2016-10-02           0.00\n",
      "2016-10-03           0.00\n",
      "2016-10-04           0.00\n",
      "2016-10-05           0.00\n",
      "2016-10-06           0.00\n",
      "2016-10-07           0.00\n",
      "2016-10-08           0.00\n",
      "2016-10-09           0.00\n",
      "2016-10-10           0.00\n",
      "2016-10-11           0.00\n",
      "2016-10-12           0.00\n",
      "2016-10-13           0.00\n",
      "2016-10-14           0.00\n",
      "2016-10-15           0.00\n",
      "2016-10-16           0.00\n",
      "2016-10-17           0.01\n",
      "2016-10-18           0.00\n",
      "2016-10-19           0.00\n",
      "2016-10-20           0.00\n",
      "2016-10-21           0.05\n",
      "2016-10-22           0.15\n",
      "2016-10-23           0.01\n",
      "2016-10-24           0.00\n",
      "2016-10-25           0.03\n",
      "2016-10-26           0.00\n",
      "2016-10-27           0.00\n",
      "2016-10-28           0.00\n",
      "2016-10-29           0.00\n",
      "2016-10-30           0.24\n",
      "2016-10-31           0.03\n",
      "2016-11-01           0.00\n",
      "2016-11-02           0.00\n",
      "2016-11-03           0.00\n",
      "2016-11-04           0.00\n",
      "2016-11-05           0.00\n",
      "2016-11-06           0.00\n",
      "2016-11-07           0.00\n",
      "2016-11-08           0.07\n",
      "2016-11-09           0.00\n",
      "2016-11-10           0.00\n",
      "2016-11-11           0.00\n",
      "2016-11-12           0.00\n",
      "2016-11-13           0.00\n",
      "2016-11-14           0.00\n",
      "2016-11-15           0.00\n",
      "2016-11-16           0.00\n",
      "2016-11-17           0.00\n",
      "2016-11-18           0.00\n",
      "2016-11-19           0.03\n",
      "2016-11-20           0.05\n",
      "2016-11-21           0.01\n",
      "2016-11-22           0.13\n",
      "2016-11-23           0.14\n",
      "2016-11-24           0.05\n",
      "2016-11-25           0.05\n",
      "2016-11-26           0.05\n",
      "2016-11-27           0.00\n",
      "2016-11-28           0.01\n",
      "2016-11-29           0.00\n",
      "2016-11-30           0.14\n",
      "2016-12-01           0.12\n",
      "2016-12-02           0.03\n",
      "2016-12-03           0.00\n",
      "2016-12-04           0.03\n",
      "2016-12-05           0.43\n",
      "2016-12-06           0.02\n",
      "2016-12-07           0.00\n",
      "2016-12-08           0.03\n",
      "2016-12-09           0.52\n",
      "2016-12-10           0.05\n",
      "2016-12-11           0.04\n",
      "2016-12-12           0.01\n",
      "2016-12-13           0.05\n",
      "2016-12-14           0.03\n",
      "2016-12-15           0.00\n",
      "2016-12-16           0.00\n",
      "2016-12-17           0.01\n",
      "2016-12-18           0.13\n",
      "2016-12-19           0.01\n",
      "2016-12-20           0.00\n",
      "2016-12-21           0.00\n",
      "2016-12-22           0.01\n",
      "2016-12-23           0.01\n",
      "2016-12-24           0.01\n",
      "2016-12-25           0.00\n",
      "2016-12-26           0.02\n",
      "2016-12-27           0.00\n",
      "2016-12-28           0.02\n",
      "2016-12-29           0.04\n",
      "2016-12-30           0.12\n",
      "2016-12-31           0.01\n",
      "2017-01-01           0.00\n",
      "2017-01-02           0.00\n",
      "2017-01-03           0.00\n",
      "2017-01-04           0.00\n",
      "2017-01-05           0.00\n",
      "2017-01-06           0.00\n",
      "2017-01-07           0.00\n",
      "2017-01-08           0.00\n",
      "2017-01-09           0.00\n",
      "2017-01-10           0.00\n",
      "2017-01-11           0.00\n",
      "2017-01-12           0.00\n",
      "2017-01-13           0.00\n",
      "2017-01-14           0.00\n",
      "2017-01-15           0.00\n",
      "2017-01-16           0.00\n",
      "2017-01-17           0.00\n",
      "2017-01-18           0.00\n",
      "2017-01-19           0.00\n",
      "2017-01-20           0.00\n",
      "2017-01-21           0.00\n",
      "2017-01-22           0.16\n",
      "2017-01-23           0.00\n",
      "2017-01-24           0.04\n",
      "2017-01-25           0.03\n",
      "2017-01-26           0.00\n",
      "2017-01-27           0.00\n",
      "2017-01-28           0.00\n",
      "2017-01-29           0.18\n",
      "2017-01-30           0.00\n",
      "2017-01-31           0.00\n",
      "2017-02-01           0.00\n",
      "2017-02-02           0.00\n",
      "2017-02-03           0.00\n",
      "2017-02-04           0.00\n",
      "2017-02-05           0.00\n",
      "2017-02-06           0.00\n",
      "2017-02-07           0.51\n",
      "2017-02-08           0.00\n",
      "2017-02-09           0.00\n",
      "2017-02-10           0.00\n",
      "2017-02-11           0.31\n",
      "2017-02-12           2.62\n",
      "2017-02-13           0.01\n",
      "2017-02-14           0.00\n",
      "2017-02-15           0.00\n",
      "2017-02-16           0.07\n",
      "2017-02-17           0.00\n",
      "2017-02-18           0.00\n",
      "2017-02-19           0.00\n",
      "2017-02-20           0.00\n",
      "2017-02-21           0.06\n",
      "2017-02-22           0.06\n",
      "2017-02-23           0.01\n",
      "2017-02-24           0.00\n",
      "2017-02-25           0.03\n",
      "2017-02-26           0.00\n",
      "2017-02-27           0.00\n",
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      "2017-07-26           0.06\n",
      "2017-07-27           0.00\n",
      "2017-07-28           0.13\n",
      "2017-07-29           0.06\n",
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      "2016-08-23           0.05\n",
      "2016-08-24           2.28\n",
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      "2016-08-28           0.14\n",
      "2016-08-29           0.04\n",
      "2016-08-31            NaN\n",
      "2016-09-01           0.00\n",
      "2016-09-02           0.19\n",
      "2016-09-05            NaN\n",
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      "2016-09-07           0.23\n",
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      "2016-09-09           0.29\n",
      "2016-09-12            NaN\n",
      "2016-09-13           0.32\n",
      "2016-09-14           1.84\n",
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      "2016-09-16           0.07\n",
      "2016-09-19            NaN\n",
      "2016-09-20           0.25\n",
      "2016-09-21           0.02\n",
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      "2016-10-02           0.03\n",
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      "2016-10-04           0.00\n",
      "2016-10-05           0.00\n",
      "2016-10-06           0.00\n",
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      "2016-10-10            NaN\n",
      "2016-10-11           0.04\n",
      "2016-10-12           0.00\n",
      "2016-10-13           0.02\n",
      "2016-10-14           0.00\n",
      "2016-10-15           0.02\n",
      "2016-10-17            NaN\n",
      "2016-10-18           0.03\n",
      "2016-10-19           0.00\n",
      "2016-10-20           0.01\n",
      "2016-10-21           0.03\n",
      "2016-10-23            NaN\n",
      "2016-10-24           0.01\n",
      "2016-10-25           0.00\n",
      "2016-10-27           0.20\n",
      "2016-10-28           0.07\n",
      "2016-10-29           0.26\n",
      "2016-10-30           0.14\n",
      "2016-10-31           0.00\n",
      "2016-11-01           0.00\n",
      "2016-11-02           0.00\n",
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      "2016-11-15           0.00\n",
      "2016-11-16           0.18\n",
      "2016-11-17           0.00\n",
      "2016-11-22            NaN\n",
      "2016-11-25            NaN\n",
      "2016-11-26           0.02\n",
      "2016-11-27           0.03\n",
      "2016-11-28           0.00\n",
      "2016-11-29           0.04\n",
      "2016-11-30           0.03\n",
      "2016-12-01           0.07\n",
      "2016-12-02           0.40\n",
      "2016-12-03           0.26\n",
      "2016-12-04           0.00\n",
      "2016-12-05           0.20\n",
      "2016-12-07            NaN\n",
      "2016-12-08           0.02\n",
      "2016-12-09           0.26\n",
      "2016-12-10           0.00\n",
      "2016-12-12            NaN\n",
      "2016-12-13           0.34\n",
      "2016-12-14           0.12\n",
      "2016-12-15           0.07\n",
      "2016-12-16           0.00\n",
      "2016-12-17           0.00\n",
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      "2016-12-20           0.00\n",
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      "2016-12-26            NaN\n",
      "2016-12-27           0.02\n",
      "2016-12-28           0.01\n",
      "2016-12-29           0.56\n",
      "2016-12-30           0.29\n",
      "2016-12-31           0.36\n",
      "2017-01-01           0.00\n",
      "2017-01-02           0.01\n",
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      "2017-01-10           0.00\n",
      "2017-01-11           0.00\n",
      "2017-01-13            NaN\n",
      "2017-01-14           0.00\n",
      "2017-01-16            NaN\n",
      "2017-01-17           0.00\n",
      "2017-01-18           0.00\n",
      "2017-01-19           0.00\n",
      "2017-01-20           0.00\n",
      "2017-01-21           0.02\n",
      "2017-01-23            NaN\n",
      "2017-01-25            NaN\n",
      "2017-01-26           0.01\n",
      "2017-01-27           0.00\n",
      "2017-01-28           0.00\n",
      "2017-01-30            NaN\n",
      "2017-01-31           0.00\n",
      "2017-02-01           0.00\n",
      "2017-02-02           0.00\n",
      "2017-02-03           0.00\n",
      "2017-02-05            NaN\n",
      "2017-02-06           0.04\n",
      "2017-02-07           0.90\n",
      "2017-02-08           0.00\n",
      "2017-02-09           0.00\n",
      "2017-02-10           0.00\n",
      "2017-02-11           2.39\n",
      "2017-02-12           1.91\n",
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      "2017-02-15           0.00\n",
      "2017-02-16           0.62\n",
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      "2017-02-20            NaN\n",
      "2017-02-21           0.00\n",
      "2017-02-22           0.11\n",
      "2017-02-23           0.00\n",
      "2017-02-24           0.00\n",
      "2017-02-26            NaN\n",
      "2017-02-27           0.00\n",
      "2017-02-28           0.04\n",
      "2017-03-01           1.12\n",
      "2017-03-03            NaN\n",
      "2017-03-06            NaN\n",
      "2017-03-07           0.00\n",
      "2017-03-08           0.00\n",
      "2017-03-09           0.50\n",
      "2017-03-10           0.13\n",
      "2017-03-12            NaN\n",
      "2017-03-13           0.00\n",
      "2017-03-14           0.00\n",
      "2017-03-16            NaN\n",
      "2017-03-17           0.06\n",
      "2017-03-18           0.00\n",
      "2017-03-20            NaN\n",
      "2017-03-21           0.00\n",
      "2017-03-22           0.00\n",
      "2017-03-23           0.00\n",
      "2017-03-24           0.15\n",
      "2017-03-27            NaN\n",
      "2017-03-28           0.00\n",
      "2017-03-29           0.03\n",
      "2017-03-30           0.03\n",
      "2017-03-31           0.00\n",
      "2017-04-01           0.00\n",
      "2017-04-02           0.00\n",
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      "2017-04-04           0.00\n",
      "2017-04-05           0.07\n",
      "2017-04-06           0.00\n",
      "2017-04-07           0.00\n",
      "2017-04-09            NaN\n",
      "2017-04-10           0.00\n",
      "2017-04-11           0.16\n",
      "2017-04-12           0.29\n",
      "2017-04-13           0.00\n",
      "2017-04-14           0.29\n",
      "2017-04-17            NaN\n",
      "2017-04-18           0.12\n",
      "2017-04-19           0.00\n",
      "2017-04-20           0.00\n",
      "2017-04-21           1.05\n",
      "2017-04-22           0.70\n",
      "2017-04-24            NaN\n",
      "2017-04-25           0.00\n",
      "2017-04-26           0.14\n",
      "2017-04-27           0.02\n",
      "2017-04-28           0.09\n",
      "2017-04-29           0.95\n",
      "2017-04-30           1.17\n",
      "2017-05-01           0.03\n",
      "2017-05-02           0.01\n",
      "2017-05-03           0.01\n",
      "2017-05-04           0.08\n",
      "2017-05-05           0.28\n",
      "2017-05-06           0.06\n",
      "2017-05-08           0.95\n",
      "2017-05-09           0.52\n",
      "2017-05-10           0.00\n",
      "2017-05-12            NaN\n",
      "2017-05-15            NaN\n",
      "2017-05-16           0.05\n",
      "2017-05-17           0.00\n",
      "2017-05-18           0.16\n",
      "2017-05-19           0.01\n",
      "2017-05-20           0.01\n",
      "2017-05-22            NaN\n",
      "2017-05-23           0.11\n",
      "2017-05-24           0.10\n",
      "2017-05-25           0.07\n",
      "2017-05-26           0.00\n",
      "2017-05-27           0.00\n",
      "2017-05-28           0.02\n",
      "2017-05-29           0.00\n",
      "2017-05-30           0.04\n",
      "2017-05-31           0.00\n",
      "2017-06-01           0.00\n",
      "2017-06-02           0.15\n",
      "2017-06-03           0.16\n",
      "2017-06-04           0.05\n",
      "2017-06-05           0.02\n",
      "2017-06-06           0.00\n",
      "2017-06-07           0.00\n",
      "2017-06-08           0.01\n",
      "2017-06-09           0.00\n",
      "2017-06-10           0.53\n",
      "2017-06-11           0.14\n",
      "2017-06-12           0.35\n",
      "2017-06-13           0.10\n",
      "2017-06-14           0.21\n",
      "2017-06-15           0.30\n",
      "2017-06-16           0.02\n",
      "2017-06-17           0.02\n",
      "2017-06-18           0.18\n",
      "2017-06-19           0.19\n",
      "2017-06-20           0.17\n",
      "2017-06-23            NaN\n",
      "2017-06-26            NaN\n",
      "2017-06-29            NaN\n",
      "2017-06-30           0.00\n",
      "2017-07-03            NaN\n",
      "2017-07-05            NaN\n",
      "2017-07-07            NaN\n",
      "2017-07-08           0.06\n",
      "2017-07-09           0.00\n",
      "2017-07-10           0.00\n",
      "2017-07-11           0.00\n",
      "2017-07-12           0.02\n",
      "2017-07-13           0.30\n",
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      "2017-07-16           0.12\n",
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      "2017-07-21           0.00\n",
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      "2017-07-23           0.07\n",
      "2017-07-24           1.19\n",
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      "2017-07-26           0.02\n",
      "2017-07-27           0.00\n",
      "2017-07-28           0.14\n",
      "2017-07-29           0.02\n",
      "2017-07-31            NaN\n",
      "2017-08-01           0.12\n",
      "2017-08-02           0.05\n",
      "2017-08-03           0.01\n",
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      "2017-08-13            NaN\n",
      "2017-08-14           0.01\n",
      "2017-08-15           0.00\n",
      "2017-08-16           0.00\n",
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      "2017-08-21           0.02\n",
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      "2016-08-23            NaN\n",
      "2016-08-24            NaN\n",
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      "2016-08-26           0.04\n",
      "2016-08-29            NaN\n",
      "2016-08-30           0.02\n",
      "2016-08-31            NaN\n",
      "2016-09-01            NaN\n",
      "2016-09-02            NaN\n",
      "2016-09-08            NaN\n",
      "2016-09-09            NaN\n",
      "2016-09-12            NaN\n",
      "2016-09-13            NaN\n",
      "2016-09-14            NaN\n",
      "2016-09-15            NaN\n",
      "2016-09-16           0.00\n",
      "2016-09-19            NaN\n",
      "2016-09-20           0.00\n",
      "2016-09-22           0.06\n",
      "2016-09-23           0.00\n",
      "2016-09-26            NaN\n",
      "2016-09-28           0.00\n",
      "2016-09-29           0.04\n",
      "2016-09-30            NaN\n",
      "2016-10-03            NaN\n",
      "2016-10-04            NaN\n",
      "2016-10-05            NaN\n",
      "2016-10-06           0.07\n",
      "2016-10-07            NaN\n",
      "2016-10-11            NaN\n",
      "2016-10-13            NaN\n",
      "2016-10-17            NaN\n",
      "2016-10-18            NaN\n",
      "2016-10-19            NaN\n",
      "2016-10-20            NaN\n",
      "2016-10-21            NaN\n",
      "2016-10-24            NaN\n",
      "2016-10-25           0.40\n",
      "2016-10-26           0.20\n",
      "2016-10-27            NaN\n",
      "2016-10-28            NaN\n",
      "2016-10-31            NaN\n",
      "2016-11-04            NaN\n",
      "2016-11-07            NaN\n",
      "2016-11-09           0.00\n",
      "2016-11-14           0.02\n",
      "2016-11-15            NaN\n",
      "2016-11-16            NaN\n",
      "2016-11-17            NaN\n",
      "2016-11-18            NaN\n",
      "2016-11-21            NaN\n",
      "2016-11-22            NaN\n",
      "2016-11-23            NaN\n",
      "2016-11-28            NaN\n",
      "2016-11-29            NaN\n",
      "2016-11-30            NaN\n",
      "2016-12-01            NaN\n",
      "2016-12-02            NaN\n",
      "2016-12-05            NaN\n",
      "2016-12-06            NaN\n",
      "2016-12-07            NaN\n",
      "2016-12-08           0.27\n",
      "2016-12-09            NaN\n",
      "2016-12-12           0.02\n",
      "2016-12-13            NaN\n",
      "2016-12-14            NaN\n",
      "2016-12-15            NaN\n",
      "2016-12-16            NaN\n",
      "2016-12-19            NaN\n",
      "2016-12-20            NaN\n",
      "2016-12-21           0.06\n",
      "2016-12-22            NaN\n",
      "2016-12-23            NaN\n",
      "2016-12-28            NaN\n",
      "2016-12-29            NaN\n",
      "2016-12-30            NaN\n",
      "2017-01-09            NaN\n",
      "2017-01-10            NaN\n",
      "2017-01-11            NaN\n",
      "2017-01-12            NaN\n",
      "2017-01-13            NaN\n",
      "2017-01-17           0.00\n",
      "2017-01-18           0.00\n",
      "2017-01-19            NaN\n",
      "2017-01-20            NaN\n",
      "2017-01-23            NaN\n",
      "2017-01-24            NaN\n",
      "2017-01-25            NaN\n",
      "2017-01-26           0.00\n",
      "2017-01-27           0.00\n",
      "2017-01-30           0.05\n",
      "2017-01-31           0.00\n",
      "2017-02-01           0.00\n",
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      "2017-02-06            NaN\n",
      "2017-02-07           0.00\n",
      "2017-02-08           0.00\n",
      "2017-02-09           0.00\n",
      "2017-02-10           0.00\n",
      "2017-02-13            NaN\n",
      "2017-02-14           0.00\n",
      "2017-02-15            NaN\n",
      "2017-02-16            NaN\n",
      "2017-02-17           0.00\n",
      "2017-02-21            NaN\n",
      "2017-02-22           0.17\n",
      "2017-02-23           0.00\n",
      "2017-02-24           0.00\n",
      "2017-02-27            NaN\n",
      "2017-02-28            NaN\n",
      "2017-03-01           2.40\n",
      "2017-03-02           0.44\n",
      "2017-03-03           0.14\n",
      "2017-03-06            NaN\n",
      "2017-03-07            NaN\n",
      "2017-03-08            NaN\n",
      "2017-03-09           0.00\n",
      "2017-03-10           0.00\n",
      "2017-03-13            NaN\n",
      "2017-03-14           0.06\n",
      "2017-03-15           0.00\n",
      "2017-03-16            NaN\n",
      "2017-03-17            NaN\n",
      "2017-03-28            NaN\n",
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      "2017-03-30            NaN\n",
      "2017-03-31           0.00\n",
      "2017-04-03            NaN\n",
      "2017-04-04           0.00\n",
      "2017-04-05           0.00\n",
      "2017-04-06           0.00\n",
      "2017-04-07           0.00\n",
      "2017-04-10            NaN\n",
      "2017-04-11            NaN\n",
      "2017-04-12            NaN\n",
      "2017-04-13            NaN\n",
      "2017-04-17            NaN\n",
      "2017-04-18           0.00\n",
      "2017-04-19            NaN\n",
      "2017-04-20            NaN\n",
      "2017-04-21            NaN\n",
      "2017-04-24            NaN\n",
      "2017-04-25            NaN\n",
      "2017-04-27            NaN\n",
      "2017-04-28            NaN\n",
      "2017-06-02            NaN\n",
      "2017-06-05            NaN\n",
      "2017-06-06            NaN\n",
      "2017-06-07            NaN\n",
      "2017-06-08            NaN\n",
      "2017-06-09            NaN\n",
      "2017-06-13            NaN\n",
      "2017-06-14            NaN\n",
      "2017-06-15            NaN\n",
      "2017-06-16            NaN\n",
      "2017-06-19            NaN\n",
      "2017-06-20            NaN\n",
      "2017-06-21            NaN\n",
      "2017-06-22           0.00\n",
      "2017-06-23           0.00\n",
      "2017-06-26            NaN\n",
      "2017-06-27           0.00\n",
      "2017-06-28           0.00\n",
      "2017-06-29           0.00\n",
      "2017-06-30           0.12\n",
      "2017-07-03            NaN\n",
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      "2017-07-06            NaN\n",
      "2017-07-07            NaN\n",
      "2017-07-10            NaN\n",
      "2017-07-11            NaN\n",
      "2017-07-12            NaN\n",
      "2017-07-13            NaN\n",
      "2017-07-18           0.00\n",
      "2017-07-19           0.00\n",
      "2017-07-20           0.00\n",
      "2017-07-21           0.00\n",
      "2017-07-25           0.00\n",
      "2017-07-26            NaN\n",
      "2017-07-27            NaN\n",
      "2017-07-28           0.01\n",
      "2017-07-31            NaN\n",
      "2016-08-23           0.02\n",
      "2016-08-24           1.22\n",
      "2016-08-25           0.21\n",
      "2016-08-26           0.00\n",
      "2016-08-27           0.00\n",
      "2016-08-28           0.14\n",
      "2016-08-29           0.00\n",
      "2016-08-30           0.00\n",
      "2016-08-31           0.25\n",
      "2016-09-02            NaN\n",
      "2016-09-03           0.08\n",
      "2016-09-04           0.74\n",
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      "2016-09-06           0.03\n",
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      "2016-09-11           0.12\n",
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      "2016-09-13           0.46\n",
      "2016-09-14           1.19\n",
      "2016-09-15           0.17\n",
      "2016-09-16           0.01\n",
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      "2016-09-18           0.04\n",
      "2016-09-19           0.05\n",
      "2016-09-20           0.04\n",
      "2016-09-21           0.00\n",
      "2016-09-22           0.01\n",
      "2016-09-23           0.00\n",
      "2016-09-24           0.00\n",
      "2016-09-25           0.00\n",
      "2016-09-26           0.34\n",
      "2016-09-27           0.05\n",
      "2016-09-28           0.00\n",
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      "2017-03-20           0.02\n",
      "2017-03-21           0.09\n",
      "2017-03-22           0.00\n",
      "2017-03-23           0.00\n",
      "2017-03-24           0.12\n",
      "2017-03-25           0.93\n",
      "2017-03-26           0.00\n",
      "2017-03-27           0.01\n",
      "2017-03-28           0.00\n",
      "2017-03-29           0.01\n",
      "2017-03-30           0.04\n",
      "2017-03-31           0.01\n",
      "2017-04-01           0.21\n",
      "2017-04-02           0.00\n",
      "2017-04-03           0.26\n",
      "2017-04-04           0.09\n",
      "2017-04-05           0.10\n",
      "2017-04-06           0.06\n",
      "2017-04-07           0.00\n",
      "2017-04-08           0.00\n",
      "2017-04-09           0.00\n",
      "2017-04-10           0.01\n",
      "2017-04-11           0.03\n",
      "2017-04-12           0.11\n",
      "2017-04-13           0.59\n",
      "2017-04-14           2.30\n",
      "2017-04-15           0.38\n",
      "2017-04-16           0.47\n",
      "2017-04-17           1.04\n",
      "2017-04-18           2.03\n",
      "2017-04-19           0.02\n",
      "2017-04-20           0.05\n",
      "2017-04-21           1.74\n",
      "2017-04-22           1.58\n",
      "2017-04-23           0.06\n",
      "2017-04-24           0.01\n",
      "2017-04-25           0.00\n",
      "2017-04-26           0.02\n",
      "2017-04-27           0.19\n",
      "2017-04-28           0.76\n",
      "2017-04-29           0.37\n",
      "2017-04-30           1.04\n",
      "2017-05-01           0.13\n",
      "2017-05-02           0.01\n",
      "2017-05-03           0.01\n",
      "2017-05-04           0.00\n",
      "2017-05-05           0.00\n",
      "2017-05-06           0.00\n",
      "2017-05-07           0.02\n",
      "2017-05-08           0.73\n",
      "2017-05-09           1.58\n",
      "2017-05-10           0.20\n",
      "2017-05-11           0.12\n",
      "2017-05-12           0.02\n",
      "2017-05-13           0.12\n",
      "2017-05-14           0.17\n",
      "2017-05-15           0.09\n",
      "2017-05-16           0.03\n",
      "2017-05-17           0.07\n",
      "2017-05-18           0.13\n",
      "2017-05-19           0.01\n",
      "2017-05-20           0.02\n",
      "2017-05-21           0.01\n",
      "2017-05-22           0.06\n",
      "2017-05-23           0.06\n",
      "2017-05-24           0.30\n",
      "2017-05-25           0.20\n",
      "2017-05-26           0.00\n",
      "2017-05-27           0.00\n",
      "2017-05-28           0.08\n",
      "2017-05-29           0.40\n",
      "2017-05-30           1.12\n",
      "2017-05-31           0.25\n",
      "2017-06-01           0.00\n",
      "2017-06-02           0.09\n",
      "2017-06-03           0.08\n",
      "2017-06-04           0.13\n",
      "2017-06-05           0.05\n",
      "2017-06-06           0.00\n",
      "2017-06-07           0.00\n",
      "2017-06-08           0.00\n",
      "2017-06-09           0.02\n",
      "2017-06-10           0.62\n",
      "2017-06-11           0.74\n",
      "2017-06-12           0.24\n",
      "2017-06-13           0.24\n",
      "2017-06-14           0.22\n",
      "2017-06-15           0.55\n",
      "2017-06-16           0.06\n",
      "2017-06-17           0.07\n",
      "2017-06-18           0.24\n",
      "2017-06-19           0.08\n",
      "2017-06-20           0.00\n",
      "2017-06-21           0.19\n",
      "2017-06-22           0.06\n",
      "2017-06-23           0.12\n",
      "2017-06-24           0.36\n",
      "2017-06-25           0.02\n",
      "2017-06-26           0.06\n",
      "2017-06-27           0.01\n",
      "2017-06-28           0.00\n",
      "2017-06-29           0.00\n",
      "2017-06-30           0.01\n",
      "2017-07-01           0.08\n",
      "2017-07-02           0.15\n",
      "2017-07-03           0.15\n",
      "2017-07-04           0.08\n",
      "2017-07-05           0.00\n",
      "2017-07-06           0.00\n",
      "2017-07-07           0.18\n",
      "2017-07-08           0.00\n",
      "2017-07-09           0.11\n",
      "2017-07-10           0.02\n",
      "2017-07-11           0.02\n",
      "2017-07-12           0.28\n",
      "2017-07-13           0.32\n",
      "2017-07-14           0.20\n",
      "2017-07-15           0.05\n",
      "2017-07-16           0.10\n",
      "2017-07-17           0.21\n",
      "2017-07-18           0.05\n",
      "2017-07-19           0.05\n",
      "2017-07-20           0.06\n",
      "2017-07-21           0.03\n",
      "2017-07-22           0.20\n",
      "2017-07-23           0.20\n",
      "2017-07-24           0.61\n",
      "2017-07-25           0.11\n",
      "2017-07-26           0.12\n",
      "2017-07-27           0.01\n",
      "2017-07-28           0.09\n",
      "2017-07-29           0.23\n",
      "2017-07-30           0.00\n",
      "2017-07-31           0.00\n",
      "2017-08-04           0.00\n",
      "2017-08-05           0.06\n",
      "2017-08-06           0.00\n",
      "2017-08-13           0.00\n",
      "2017-08-14           0.00\n",
      "2017-08-15           0.32\n",
      "2017-08-16           0.12\n",
      "2017-08-17           0.01\n",
      "2017-08-18           0.06\n",
      "2016-08-23           0.70\n",
      "2016-08-24           1.45\n",
      "2016-08-25           0.11\n",
      "2016-08-27            NaN\n",
      "2016-08-28           2.07\n",
      "2016-08-29           0.90\n",
      "2016-08-30           0.05\n",
      "2016-08-31           2.46\n",
      "2016-09-01           0.01\n",
      "2016-09-02           0.03\n",
      "2016-09-03           1.00\n",
      "2016-09-04           0.44\n",
      "2016-09-05           0.18\n",
      "2016-09-06           1.00\n",
      "2016-09-07           1.35\n",
      "2016-09-08           0.15\n",
      "2016-09-09           0.35\n",
      "2016-09-10           1.16\n",
      "2016-09-11           0.60\n",
      "2016-09-12           1.04\n",
      "2016-09-13           1.20\n",
      "2016-09-14           6.70\n",
      "2016-09-15           3.35\n",
      "2016-09-16           0.61\n",
      "2016-09-17           0.23\n",
      "2016-09-18           0.42\n",
      "2016-09-19           0.25\n",
      "2016-09-20           0.43\n",
      "2016-09-21           1.02\n",
      "2016-09-22           0.75\n",
      "2016-09-23           0.33\n",
      "2016-09-24           0.27\n",
      "2016-09-25           0.04\n",
      "2016-09-26           1.02\n",
      "2016-09-27           1.00\n",
      "2016-09-28           0.05\n",
      "2016-09-29           1.49\n",
      "2016-09-30           0.38\n",
      "2016-10-01           1.02\n",
      "2016-10-02           0.61\n",
      "2016-10-03           0.46\n",
      "2016-10-04           3.46\n",
      "2016-10-05           0.81\n",
      "2016-10-06           0.04\n",
      "2016-10-07           0.01\n",
      "2016-10-08           0.04\n",
      "2016-10-09           0.00\n",
      "2016-10-10           0.00\n",
      "2016-10-11           0.35\n",
      "2016-10-12           0.02\n",
      "2016-10-13           0.06\n",
      "2016-10-14           0.00\n",
      "2016-10-15           0.33\n",
      "2016-10-16           0.00\n",
      "2016-10-17           0.38\n",
      "2016-10-18           0.48\n",
      "2016-10-19           0.00\n",
      "2016-10-20           1.00\n",
      "2016-10-21           0.09\n",
      "2016-10-22           1.37\n",
      "2016-10-23           0.24\n",
      "2016-10-24           0.70\n",
      "2016-10-25           0.40\n",
      "2016-10-26           0.00\n",
      "2016-10-27           1.25\n",
      "2016-10-28           0.37\n",
      "2016-10-29           0.25\n",
      "2016-10-30           0.95\n",
      "2016-10-31           1.35\n",
      "2016-11-01           0.09\n",
      "2016-11-02           0.04\n",
      "2016-11-03           0.02\n",
      "2016-11-04           0.06\n",
      "2016-11-05           0.38\n",
      "2016-11-06           0.05\n",
      "2016-11-07           0.05\n",
      "2016-11-08           0.53\n",
      "2016-11-09           0.04\n",
      "2016-11-10           0.01\n",
      "2016-11-11           0.00\n",
      "2016-11-12           0.00\n",
      "2016-11-13           0.00\n",
      "2016-11-14           0.02\n",
      "2016-11-15           0.05\n",
      "2016-11-16           0.91\n",
      "2016-11-17           0.02\n",
      "2016-11-20            NaN\n",
      "2016-11-21           2.87\n",
      "2016-11-22           2.11\n",
      "2016-11-23           0.22\n",
      "2016-11-24           0.72\n",
      "2016-11-25           1.03\n",
      "2016-11-26           0.30\n",
      "2016-11-27           0.29\n",
      "2016-11-28           0.69\n",
      "2016-11-29           0.20\n",
      "2016-11-30           0.79\n",
      "2016-12-01           0.72\n",
      "2016-12-02           1.27\n",
      "2016-12-03           1.62\n",
      "2016-12-04           0.31\n",
      "2016-12-05           1.60\n",
      "2016-12-06           0.00\n",
      "2016-12-07           0.02\n",
      "2016-12-08           0.03\n",
      "2016-12-09           0.42\n",
      "2016-12-10           0.04\n",
      "2016-12-11           0.13\n",
      "2016-12-12           0.01\n",
      "2016-12-13           0.09\n",
      "2016-12-14           0.33\n",
      "2016-12-15           0.03\n",
      "2016-12-16           0.00\n",
      "2016-12-18            NaN\n",
      "2016-12-19           0.15\n",
      "2016-12-20           0.00\n",
      "2016-12-21           0.55\n",
      "2016-12-22           1.24\n",
      "2016-12-23           0.83\n",
      "2016-12-24           1.08\n",
      "2016-12-25           0.38\n",
      "2016-12-26           1.48\n",
      "2016-12-27           0.14\n",
      "2016-12-28           0.14\n",
      "2016-12-29           1.03\n",
      "2016-12-30           2.37\n",
      "2016-12-31           0.90\n",
      "2017-01-01           0.03\n",
      "2017-01-02           0.00\n",
      "2017-01-03           0.00\n",
      "2017-01-04           0.00\n",
      "2017-01-05           0.47\n",
      "2017-01-06           0.10\n",
      "2017-01-07           0.00\n",
      "2017-01-08           0.03\n",
      "2017-01-09           0.00\n",
      "2017-01-10           0.00\n",
      "2017-01-11           0.00\n",
      "2017-01-12           0.00\n",
      "2017-01-13           0.00\n",
      "2017-01-14           0.00\n",
      "2017-01-15           0.01\n",
      "2017-01-16           0.00\n",
      "2017-01-17           0.00\n",
      "2017-01-18           0.07\n",
      "2017-01-19           0.00\n",
      "2017-01-20           0.00\n",
      "2017-01-21           0.08\n",
      "2017-01-22           0.72\n",
      "2017-01-23           0.85\n",
      "2017-01-24           1.85\n",
      "2017-01-25           2.64\n",
      "2017-01-26           0.10\n",
      "2017-01-27           0.03\n",
      "2017-01-28           0.00\n",
      "2017-01-29           0.55\n",
      "2017-01-30           0.00\n",
      "2017-01-31           0.00\n",
      "2017-02-01           0.00\n",
      "2017-02-02           0.00\n",
      "2017-02-04            NaN\n",
      "2017-02-05           0.00\n",
      "2017-02-06           0.00\n",
      "2017-02-07           1.79\n",
      "2017-02-08           0.00\n",
      "2017-02-09           0.00\n",
      "2017-02-10           0.00\n",
      "2017-02-11           0.73\n",
      "2017-02-12           1.83\n",
      "2017-02-13           0.00\n",
      "2017-02-14           0.01\n",
      "2017-02-15           0.07\n",
      "2017-02-16           0.13\n",
      "2017-02-18            NaN\n",
      "2017-02-19           0.10\n",
      "2017-02-20           0.00\n",
      "2017-02-21           0.07\n",
      "2017-02-22           0.32\n",
      "2017-02-23           0.00\n",
      "2017-02-24           0.00\n",
      "2017-02-25           0.12\n",
      "2017-02-26           0.00\n",
      "2017-02-27           0.00\n",
      "2017-02-28           0.58\n",
      "2017-03-01           2.00\n",
      "2017-03-02           0.58\n",
      "2017-03-03           0.56\n",
      "2017-03-04           0.00\n",
      "2017-03-05           0.35\n",
      "2017-03-06           0.00\n",
      "2017-03-07           0.00\n",
      "2017-03-08           0.00\n",
      "2017-03-09           0.01\n",
      "2017-03-10           0.00\n",
      "2017-03-11           0.00\n",
      "2017-03-13            NaN\n",
      "2017-03-14           0.00\n",
      "2017-03-15           0.00\n",
      "2017-03-16           0.00\n",
      "2017-03-18            NaN\n",
      "2017-03-19           0.00\n",
      "2017-03-20           0.00\n",
      "2017-03-21           0.00\n",
      "2017-03-22           0.00\n",
      "2017-03-23           0.03\n",
      "2017-03-24           0.17\n",
      "2017-03-25           0.48\n",
      "2017-03-26           0.00\n",
      "2017-03-27           0.00\n",
      "2017-03-28           0.68\n",
      "2017-03-29           0.07\n",
      "2017-03-31            NaN\n",
      "2017-04-01           0.20\n",
      "2017-04-02           0.00\n",
      "2017-04-03           0.23\n",
      "2017-04-04           0.02\n",
      "2017-04-05           0.45\n",
      "2017-04-06           0.00\n",
      "2017-04-08            NaN\n",
      "2017-04-09           0.00\n",
      "2017-04-10           0.00\n",
      "2017-04-11           0.25\n",
      "2017-04-12           0.65\n",
      "2017-04-13           0.23\n",
      "2017-04-14           2.82\n",
      "2017-04-15           0.90\n",
      "2017-04-16           0.11\n",
      "2017-04-17           1.30\n",
      "2017-04-18           0.98\n",
      "2017-04-19           0.14\n",
      "2017-04-20           0.00\n",
      "2017-04-21           1.84\n",
      "2017-04-22           1.35\n",
      "2017-04-23           0.35\n",
      "2017-04-24           0.05\n",
      "2017-04-25           0.00\n",
      "2017-04-26           0.22\n",
      "2017-04-27           0.11\n",
      "2017-04-28           0.79\n",
      "2017-04-29           0.00\n",
      "2017-04-30           0.80\n",
      "2017-05-01           0.25\n",
      "2017-05-02           0.00\n",
      "2017-05-04            NaN\n",
      "2017-05-05           0.10\n",
      "2017-05-06           0.00\n",
      "2017-05-07           0.03\n",
      "2017-05-08           1.11\n",
      "2017-05-09           0.23\n",
      "2017-05-10           0.55\n",
      "2017-05-11           0.44\n",
      "2017-05-12           0.10\n",
      "2017-05-13           0.10\n",
      "2017-05-14           1.00\n",
      "2017-05-15           0.60\n",
      "2017-05-16           0.30\n",
      "2017-05-17           0.06\n",
      "2017-05-18           0.00\n",
      "2017-05-20            NaN\n",
      "2017-05-21           0.00\n",
      "2017-05-22           0.30\n",
      "2017-05-23           0.44\n",
      "2017-05-24           2.17\n",
      "2017-05-25           0.88\n",
      "2017-05-26           0.00\n",
      "2017-05-27           0.50\n",
      "2017-05-28           0.00\n",
      "2017-05-30            NaN\n",
      "2017-06-01           0.01\n",
      "2017-06-03            NaN\n",
      "2017-06-04           0.82\n",
      "2017-06-05           0.01\n",
      "2017-06-06           0.00\n",
      "2017-06-07           0.01\n",
      "2017-06-08           0.00\n",
      "2017-06-10            NaN\n",
      "2017-06-11           0.70\n",
      "2017-06-12           0.81\n",
      "2017-06-13           0.65\n",
      "2017-06-14           0.81\n",
      "2017-06-15           1.69\n",
      "2017-06-16           0.10\n",
      "2017-06-17           0.10\n",
      "2017-06-18           0.70\n",
      "2017-06-19           0.40\n",
      "2017-06-20           0.31\n",
      "2017-06-21           0.30\n",
      "2017-06-22           0.28\n",
      "2017-06-23           0.50\n",
      "2017-06-24           0.22\n",
      "2017-06-25           0.50\n",
      "2017-06-26           0.02\n",
      "2017-06-27           0.10\n",
      "2017-06-28           0.02\n",
      "2017-06-29           0.04\n",
      "2017-06-30           0.20\n",
      "2017-07-01           0.10\n",
      "2017-07-02           0.50\n",
      "2017-07-03           0.40\n",
      "2017-07-04           0.00\n",
      "2017-07-05           0.00\n",
      "2017-07-06           0.02\n",
      "2017-07-07           0.30\n",
      "2017-07-08           0.02\n",
      "2017-07-09           0.00\n",
      "2017-07-10           0.02\n",
      "2017-07-11           0.00\n",
      "2017-07-12           0.05\n",
      "2017-07-13           0.68\n",
      "2017-07-14           0.68\n",
      "2017-07-15           0.10\n",
      "2017-07-16           0.50\n",
      "2017-07-17           0.39\n",
      "2017-07-18           2.40\n",
      "2017-07-19           0.27\n",
      "2017-07-20           0.70\n",
      "2017-07-21           0.10\n",
      "2017-07-22           4.00\n",
      "2017-07-23           0.80\n",
      "2017-07-24           0.84\n",
      "2017-07-25           0.30\n",
      "2017-07-26           0.30\n",
      "2017-07-27           0.00\n",
      "2017-07-28           0.40\n",
      "2017-07-29           0.30\n",
      "2017-07-30           0.30\n",
      "2017-07-31           0.00\n",
      "2017-08-01            NaN\n",
      "2017-08-02           0.25\n",
      "2017-08-03           0.06\n",
      "2017-08-05            NaN\n",
      "2017-08-06            NaN\n",
      "2017-08-07           0.05\n",
      "2017-08-08           0.34\n",
      "2017-08-09           0.15\n",
      "2017-08-10           0.07\n",
      "2017-08-11            NaN\n",
      "2017-08-12           0.14\n",
      "2017-08-13            NaN\n",
      "2017-08-14           0.22\n",
      "2017-08-15           0.42\n",
      "2017-08-16           0.42\n",
      "2017-08-17           0.13\n",
      "2017-08-18            NaN\n",
      "2017-08-19           0.09\n",
      "2017-08-20            NaN\n",
      "2017-08-21           0.56\n",
      "2017-08-22           0.50\n",
      "2017-08-23           0.45\n"
     ]
    }
   ],
   "source": [
    "# Use Pandas to calcualte the summary statistics for the precipitation data\n",
    "df = pd.DataFrame(results, columns=['date','precipitation'])\n",
    "#print(df) \n",
    "\n",
    "# using set_index function to set the date column in the above dataframe to be the index column\n",
    "df.set_index(df['date'], inplace=True)\n",
    "#print(df)\n",
    "\n",
    "# the DataFrame has two date columns. print the DataFrame without the index so we can see just\n",
    "# the date and precipitation. print the DataFrame without the index.\n",
    "\n",
    "print(df.to_string(index=False))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Sort the DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      date  precipitation\n",
      "2016-08-23           0.00\n",
      "2016-08-23            NaN\n",
      "2016-08-23           1.79\n",
      "2016-08-23           0.05\n",
      "2016-08-23           0.15\n",
      "2016-08-23           0.70\n",
      "2016-08-23           0.02\n",
      "2016-08-24           0.08\n",
      "2016-08-24           2.15\n",
      "2016-08-24           2.28\n",
      "2016-08-24            NaN\n",
      "2016-08-24           1.45\n",
      "2016-08-24           1.22\n",
      "2016-08-24           2.15\n",
      "2016-08-25           0.08\n",
      "2016-08-25           0.00\n",
      "2016-08-25           0.21\n",
      "2016-08-25           0.06\n",
      "2016-08-25           0.00\n",
      "2016-08-25           0.11\n",
      "2016-08-25           0.08\n",
      "2016-08-26           0.03\n",
      "2016-08-26           0.01\n",
      "2016-08-26           0.00\n",
      "2016-08-26           0.04\n",
      "2016-08-26           0.02\n",
      "2016-08-26           0.00\n",
      "2016-08-27           0.18\n",
      "2016-08-27           0.12\n",
      "2016-08-27           0.00\n",
      "2016-08-27           0.00\n",
      "2016-08-27           0.02\n",
      "2016-08-27            NaN\n",
      "2016-08-28           0.60\n",
      "2016-08-28           0.14\n",
      "2016-08-28           0.01\n",
      "2016-08-28           0.14\n",
      "2016-08-28           0.14\n",
      "2016-08-28           2.07\n",
      "2016-08-29           0.00\n",
      "2016-08-29            NaN\n",
      "2016-08-29           0.04\n",
      "2016-08-29           0.00\n",
      "2016-08-29           0.17\n",
      "2016-08-29           0.90\n",
      "2016-08-29           0.35\n",
      "2016-08-30           0.00\n",
      "2016-08-30           0.02\n",
      "2016-08-30           0.00\n",
      "2016-08-30           0.05\n",
      "2016-08-30           0.00\n",
      "2016-08-30           0.00\n",
      "2016-08-31           0.10\n",
      "2016-08-31            NaN\n",
      "2016-08-31           0.24\n",
      "2016-08-31           0.13\n",
      "2016-08-31            NaN\n",
      "2016-08-31           2.46\n",
      "2016-08-31           0.25\n",
      "2016-09-01           0.00\n",
      "2016-09-01           0.02\n",
      "2016-09-01           0.00\n",
      "2016-09-01            NaN\n",
      "2016-09-01           0.01\n",
      "2016-09-01           0.00\n",
      "2016-09-02           0.00\n",
      "2016-09-02           0.03\n",
      "2016-09-02           0.02\n",
      "2016-09-02            NaN\n",
      "2016-09-02            NaN\n",
      "2016-09-02           0.01\n",
      "2016-09-02           0.19\n",
      "2016-09-03           1.00\n",
      "2016-09-03           0.08\n",
      "2016-09-03           0.12\n",
      "2016-09-03           0.00\n",
      "2016-09-03           0.07\n",
      "2016-09-04           0.03\n",
      "2016-09-04           0.14\n",
      "2016-09-04           0.74\n",
      "2016-09-04           0.03\n",
      "2016-09-04           0.44\n",
      "2016-09-05           0.02\n",
      "2016-09-05           0.03\n",
      "2016-09-05           0.11\n",
      "2016-09-05            NaN\n",
      "2016-09-05            NaN\n",
      "2016-09-05           0.18\n",
      "2016-09-06            NaN\n",
      "2016-09-06           0.05\n",
      "2016-09-06           0.03\n",
      "2016-09-06           1.00\n",
      "2016-09-06           0.11\n",
      "2016-09-06           0.04\n",
      "2016-09-07           0.16\n",
      "2016-09-07           0.05\n",
      "2016-09-07           0.11\n",
      "2016-09-07           0.10\n",
      "2016-09-07           1.35\n",
      "2016-09-07           0.23\n",
      "2016-09-08           0.07\n",
      "2016-09-08           0.01\n",
      "2016-09-08           0.15\n",
      "2016-09-08           0.22\n",
      "2016-09-08           0.01\n",
      "2016-09-08            NaN\n",
      "2016-09-08           0.00\n",
      "2016-09-09           0.23\n",
      "2016-09-09           0.35\n",
      "2016-09-09           0.29\n",
      "2016-09-09            NaN\n",
      "2016-09-09           0.01\n",
      "2016-09-09           0.03\n",
      "2016-09-09           0.16\n",
      "2016-09-10           0.00\n",
      "2016-09-10           0.14\n",
      "2016-09-10           1.16\n",
      "2016-09-10           0.01\n",
      "2016-09-10           0.09\n",
      "2016-09-11           0.30\n",
      "2016-09-11           0.12\n",
      "2016-09-11           0.18\n",
      "2016-09-11           0.05\n",
      "2016-09-11           0.60\n",
      "2016-09-12           1.04\n",
      "2016-09-12            NaN\n",
      "2016-09-12           0.04\n",
      "2016-09-12            NaN\n",
      "2016-09-12           0.31\n",
      "2016-09-12           0.00\n",
      "2016-09-12           0.15\n",
      "2016-09-13            NaN\n",
      "2016-09-13           0.02\n",
      "2016-09-13           1.20\n",
      "2016-09-13           0.32\n",
      "2016-09-13           0.46\n",
      "2016-09-13           0.34\n",
      "2016-09-13           0.37\n",
      "2016-09-14           1.32\n",
      "2016-09-14           0.90\n",
      "2016-09-14           1.19\n",
      "2016-09-14           1.84\n",
      "2016-09-14           6.70\n",
      "2016-09-14           2.33\n",
      "2016-09-14            NaN\n",
      "2016-09-15           0.42\n",
      "2016-09-15            NaN\n",
      "2016-09-15           0.17\n",
      "2016-09-15           0.12\n",
      "2016-09-15           0.07\n",
      "2016-09-15           3.35\n",
      "2016-09-15           0.83\n",
      "2016-09-16           0.61\n",
      "2016-09-16           0.00\n",
      "2016-09-16           0.06\n",
      "2016-09-16           0.07\n",
      "2016-09-16           0.06\n",
      "2016-09-16           0.01\n",
      "2016-09-16           0.01\n",
      "2016-09-17           0.00\n",
      "2016-09-17           0.23\n",
      "2016-09-17           0.04\n",
      "2016-09-17           0.36\n",
      "2016-09-17           0.05\n",
      "2016-09-18           0.00\n",
      "2016-09-18           0.07\n",
      "2016-09-18           0.04\n",
      "2016-09-18           0.42\n",
      "2016-09-18           0.00\n",
      "2016-09-19           0.25\n",
      "2016-09-19           0.01\n",
      "2016-09-19           0.05\n",
      "2016-09-19           0.00\n",
      "2016-09-19           0.01\n",
      "2016-09-19            NaN\n",
      "2016-09-19            NaN\n",
      "2016-09-20           0.00\n",
      "2016-09-20           0.09\n",
      "2016-09-20           0.22\n",
      "2016-09-20           0.00\n",
      "2016-09-20           0.04\n",
      "2016-09-20           0.25\n",
      "2016-09-20           0.43\n",
      "2016-09-21           0.06\n",
      "2016-09-21           0.00\n",
      "2016-09-21           0.07\n",
      "2016-09-21           0.02\n",
      "2016-09-21           1.02\n",
      "2016-09-21           0.00\n",
      "2016-09-22           0.75\n",
      "2016-09-22           0.09\n",
      "2016-09-22           0.06\n",
      "2016-09-22           0.01\n",
      "2016-09-22           0.17\n",
      "2016-09-22           0.34\n",
      "2016-09-22           0.02\n",
      "2016-09-23           0.33\n",
      "2016-09-23           0.00\n",
      "2016-09-23           0.94\n",
      "2016-09-23           0.15\n",
      "2016-09-23           0.00\n",
      "2016-09-23           0.15\n",
      "2016-09-23           0.00\n",
      "2016-09-24           0.00\n",
      "2016-09-24           0.27\n",
      "2016-09-24           0.00\n",
      "2016-09-24           0.00\n",
      "2016-09-24           0.00\n",
      "2016-09-24           0.01\n",
      "2016-09-25           0.00\n",
      "2016-09-25           0.02\n",
      "2016-09-25           0.03\n",
      "2016-09-25           0.00\n",
      "2016-09-25           0.00\n",
      "2016-09-25           0.04\n",
      "2016-09-26           0.02\n",
      "2016-09-26           0.17\n",
      "2016-09-26           1.02\n",
      "2016-09-26           0.06\n",
      "2016-09-26           0.34\n",
      "2016-09-26           0.06\n",
      "2016-09-26            NaN\n",
      "2016-09-27           0.12\n",
      "2016-09-27           0.05\n",
      "2016-09-27           0.00\n",
      "2016-09-27           1.00\n",
      "2016-09-27           0.17\n",
      "2016-09-27           0.02\n",
      "2016-09-28           0.00\n",
      "2016-09-28           0.00\n",
      "2016-09-28           0.00\n",
      "2016-09-28           0.05\n",
      "2016-09-28           0.08\n",
      "2016-09-28           0.00\n",
      "2016-09-28           0.00\n",
      "2016-09-29           0.20\n",
      "2016-09-29           0.00\n",
      "2016-09-29           0.04\n",
      "2016-09-29           0.59\n",
      "2016-09-29           0.49\n",
      "2016-09-29           1.49\n",
      "2016-09-29           0.18\n",
      "2016-09-30           0.25\n",
      "2016-09-30           0.31\n",
      "2016-09-30            NaN\n",
      "2016-09-30           0.38\n",
      "2016-09-30           0.00\n",
      "2016-09-30           0.06\n",
      "2016-09-30           0.15\n",
      "2016-10-01           0.00\n",
      "2016-10-01           0.14\n",
      "2016-10-01           0.08\n",
      "2016-10-01           0.14\n",
      "2016-10-01           0.07\n",
      "2016-10-01           1.02\n",
      "2016-10-02           0.61\n",
      "2016-10-02           0.00\n",
      "2016-10-02           0.02\n",
      "2016-10-02           0.03\n",
      "2016-10-02           0.06\n",
      "2016-10-02           0.00\n",
      "2016-10-03           0.03\n",
      "2016-10-03           0.46\n",
      "2016-10-03           0.00\n",
      "2016-10-03            NaN\n",
      "2016-10-03           0.04\n",
      "2016-10-03           0.16\n",
      "2016-10-03           0.00\n",
      "2016-10-04           3.46\n",
      "2016-10-04           0.00\n",
      "2016-10-04            NaN\n",
      "2016-10-04           0.03\n",
      "2016-10-04           0.00\n",
      "2016-10-04           0.00\n",
      "2016-10-04           0.00\n",
      "2016-10-05           0.81\n",
      "2016-10-05           0.00\n",
      "2016-10-05           0.01\n",
      "2016-10-05           0.00\n",
      "2016-10-05           0.00\n",
      "2016-10-05            NaN\n",
      "2016-10-05           0.00\n",
      "2016-10-06           0.00\n",
      "2016-10-06           0.00\n",
      "2016-10-06           0.04\n",
      "2016-10-06           0.07\n",
      "2016-10-06           0.00\n",
      "2016-10-06           0.05\n",
      "2016-10-06           0.00\n",
      "2016-10-07           0.00\n",
      "2016-10-07            NaN\n",
      "2016-10-07           0.00\n",
      "2016-10-07           0.00\n",
      "2016-10-07           0.01\n",
      "2016-10-07           0.00\n",
      "2016-10-07           0.00\n",
      "2016-10-08           0.04\n",
      "2016-10-08           0.00\n",
      "2016-10-08           0.00\n",
      "2016-10-08           0.00\n",
      "2016-10-08           0.00\n",
      "2016-10-09           0.00\n",
      "2016-10-09           0.00\n",
      "2016-10-09           0.00\n",
      "2016-10-09           0.00\n",
      "2016-10-09           0.00\n",
      "2016-10-10           0.00\n",
      "2016-10-10           0.00\n",
      "2016-10-10           0.00\n",
      "2016-10-10           0.00\n",
      "2016-10-10           0.00\n",
      "2016-10-10            NaN\n",
      "2016-10-11           0.00\n",
      "2016-10-11           0.04\n",
      "2016-10-11           0.28\n",
      "2016-10-11           0.02\n",
      "2016-10-11           0.00\n",
      "2016-10-11           0.35\n",
      "2016-10-11            NaN\n",
      "2016-10-12           0.03\n",
      "2016-10-12           0.00\n",
      "2016-10-12           0.02\n",
      "2016-10-12           0.00\n",
      "2016-10-12           0.03\n",
      "2016-10-12           0.00\n",
      "2016-10-13           0.00\n",
      "2016-10-13           0.06\n",
      "2016-10-13           0.00\n",
      "2016-10-13            NaN\n",
      "2016-10-13           0.02\n",
      "2016-10-13           0.00\n",
      "2016-10-13           0.00\n",
      "2016-10-14           0.00\n",
      "2016-10-14           0.00\n",
      "2016-10-14           0.00\n",
      "2016-10-14           0.00\n",
      "2016-10-14           0.00\n",
      "2016-10-14           0.00\n",
      "2016-10-15           0.00\n",
      "2016-10-15           0.02\n",
      "2016-10-15           0.00\n",
      "2016-10-15           0.33\n",
      "2016-10-15           0.04\n",
      "2016-10-15           0.00\n",
      "2016-10-16           0.00\n",
      "2016-10-16           0.00\n",
      "2016-10-16           0.00\n",
      "2016-10-16           0.00\n",
      "2016-10-16           0.00\n",
      "2016-10-17            NaN\n",
      "2016-10-17           0.01\n",
      "2016-10-17           0.01\n",
      "2016-10-17            NaN\n",
      "2016-10-17           0.12\n",
      "2016-10-17           0.03\n",
      "2016-10-17           0.38\n",
      "2016-10-18           0.02\n",
      "2016-10-18           0.00\n",
      "2016-10-18           0.05\n",
      "2016-10-18           0.02\n",
      "2016-10-18            NaN\n",
      "2016-10-18           0.03\n",
      "2016-10-18           0.48\n",
      "2016-10-19            NaN\n",
      "2016-10-19           0.00\n",
      "2016-10-19           0.11\n",
      "2016-10-19           0.00\n",
      "2016-10-19           0.00\n",
      "2016-10-19           0.00\n",
      "2016-10-19           0.06\n",
      "2016-10-20           0.00\n",
      "2016-10-20           0.01\n",
      "2016-10-20           0.00\n",
      "2016-10-20            NaN\n",
      "2016-10-20           1.00\n",
      "2016-10-20           0.00\n",
      "2016-10-21            NaN\n",
      "2016-10-21           0.15\n",
      "2016-10-21           0.09\n",
      "2016-10-21            NaN\n",
      "2016-10-21           0.03\n",
      "2016-10-21           0.05\n",
      "2016-10-21           0.00\n",
      "2016-10-22           1.37\n",
      "2016-10-22           0.15\n",
      "2016-10-22           0.15\n",
      "2016-10-22           0.10\n",
      "2016-10-22           0.00\n",
      "2016-10-23           0.02\n",
      "2016-10-23           0.00\n",
      "2016-10-23           0.01\n",
      "2016-10-23           0.01\n",
      "2016-10-23            NaN\n",
      "2016-10-23           0.24\n",
      "2016-10-24           0.01\n",
      "2016-10-24           0.00\n",
      "2016-10-24           0.08\n",
      "2016-10-24           0.70\n",
      "2016-10-24           0.00\n",
      "2016-10-24           0.00\n",
      "2016-10-24            NaN\n",
      "2016-10-25           0.40\n",
      "2016-10-25           0.04\n",
      "2016-10-25           0.00\n",
      "2016-10-25           0.11\n",
      "2016-10-25           0.03\n",
      "2016-10-25           0.40\n",
      "2016-10-25           0.12\n",
      "2016-10-26           0.00\n",
      "2016-10-26           0.06\n",
      "2016-10-26           0.01\n",
      "2016-10-26           0.00\n",
      "2016-10-26           0.20\n",
      "2016-10-26           0.02\n",
      "2016-10-27            NaN\n",
      "2016-10-27           0.00\n",
      "2016-10-27           0.11\n",
      "2016-10-27           0.08\n",
      "2016-10-27           1.25\n",
      "2016-10-27           0.22\n",
      "2016-10-27           0.20\n",
      "2016-10-28           0.05\n",
      "2016-10-28           0.07\n",
      "2016-10-28           0.06\n",
      "2016-10-28            NaN\n",
      "2016-10-28           0.00\n",
      "2016-10-28           0.02\n",
      "2016-10-28           0.37\n",
      "2016-10-29           0.02\n",
      "2016-10-29           0.26\n",
      "2016-10-29           0.25\n",
      "2016-10-29           0.00\n",
      "2016-10-29           0.01\n",
      "2016-10-29           0.10\n",
      "2016-10-30           0.10\n",
      "2016-10-30           0.14\n",
      "2016-10-30           0.24\n",
      "2016-10-30           0.95\n",
      "2016-10-30           0.16\n",
      "2016-10-30           0.00\n",
      "2016-10-31           0.00\n",
      "2016-10-31           0.13\n",
      "2016-10-31           1.35\n",
      "2016-10-31            NaN\n",
      "2016-10-31           0.07\n",
      "2016-10-31           0.03\n",
      "2016-10-31           0.03\n",
      "2016-11-01           0.01\n",
      "2016-11-01           0.10\n",
      "2016-11-01           0.00\n",
      "2016-11-01           0.01\n",
      "2016-11-01           0.00\n",
      "2016-11-01           0.09\n",
      "2016-11-02           0.04\n",
      "2016-11-02           0.00\n",
      "2016-11-02           0.00\n",
      "2016-11-02           0.00\n",
      "2016-11-02           0.00\n",
      "2016-11-02           0.00\n",
      "2016-11-03           0.00\n",
      "2016-11-03           0.00\n",
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      "2016-11-03           0.00\n",
      "2016-11-03           0.00\n",
      "2016-11-03           0.02\n",
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      "2016-11-04           0.00\n",
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      "2016-11-04            NaN\n",
      "2016-11-04           0.00\n",
      "2016-11-05           0.00\n",
      "2016-11-05           0.02\n",
      "2016-11-05           0.03\n",
      "2016-11-05           0.38\n",
      "2016-11-05           0.02\n",
      "2016-11-05           0.00\n",
      "2016-11-06           0.00\n",
      "2016-11-06           0.00\n",
      "2016-11-06           0.05\n",
      "2016-11-06           0.02\n",
      "2016-11-06           0.01\n",
      "2016-11-06           0.00\n",
      "2016-11-07           0.13\n",
      "2016-11-07           0.00\n",
      "2016-11-07            NaN\n",
      "2016-11-07           0.05\n",
      "2016-11-07           0.00\n",
      "2016-11-07           0.00\n",
      "2016-11-07           0.00\n",
      "2016-11-08           0.21\n",
      "2016-11-08           0.53\n",
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      "2016-11-08           0.07\n",
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      "2016-11-08           0.14\n",
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      "2016-11-09           0.17\n",
      "2016-11-09           0.00\n",
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      "2016-11-09           0.08\n",
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      "2016-11-10           0.00\n",
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      "2016-11-10           0.01\n",
      "2016-11-11           0.00\n",
      "2016-11-11           0.00\n",
      "2016-11-11           0.00\n",
      "2016-11-11           0.00\n",
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      "2017-04-25            NaN\n",
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      "2017-07-19           0.00\n",
      "2017-07-20           0.70\n",
      "2017-07-20           0.00\n",
      "2017-07-20           0.00\n",
      "2017-07-20           0.12\n",
      "2017-07-20           0.03\n",
      "2017-07-20           0.33\n",
      "2017-07-20           0.06\n",
      "2017-07-21           0.03\n",
      "2017-07-21           0.00\n",
      "2017-07-21           0.00\n",
      "2017-07-21           0.10\n",
      "2017-07-21           0.00\n",
      "2017-07-21           0.00\n",
      "2017-07-21           0.00\n",
      "2017-07-22           0.20\n",
      "2017-07-22           0.00\n",
      "2017-07-22           0.07\n",
      "2017-07-22           4.00\n",
      "2017-07-22           0.12\n",
      "2017-07-22           0.03\n",
      "2017-07-23           0.07\n",
      "2017-07-23           0.20\n",
      "2017-07-23           0.06\n",
      "2017-07-23           0.00\n",
      "2017-07-23           0.80\n",
      "2017-07-24           0.84\n",
      "2017-07-24           1.19\n",
      "2017-07-24           0.58\n",
      "2017-07-24           0.05\n",
      "2017-07-24           0.61\n",
      "2017-07-24            NaN\n",
      "2017-07-25           0.05\n",
      "2017-07-25           0.03\n",
      "2017-07-25           0.12\n",
      "2017-07-25           0.30\n",
      "2017-07-25           0.00\n",
      "2017-07-25           0.11\n",
      "2017-07-25           0.00\n",
      "2017-07-26           0.30\n",
      "2017-07-26           0.06\n",
      "2017-07-26           0.00\n",
      "2017-07-26           0.12\n",
      "2017-07-26           0.02\n",
      "2017-07-26           0.00\n",
      "2017-07-26            NaN\n",
      "2017-07-27           0.00\n",
      "2017-07-27           0.00\n",
      "2017-07-27           0.00\n",
      "2017-07-27            NaN\n",
      "2017-07-27           0.01\n",
      "2017-07-27           0.00\n",
      "2017-07-27           0.00\n",
      "2017-07-28           0.13\n",
      "2017-07-28           0.40\n",
      "2017-07-28           0.00\n",
      "2017-07-28           0.14\n",
      "2017-07-28           0.09\n",
      "2017-07-28           0.00\n",
      "2017-07-28           0.01\n",
      "2017-07-29           0.02\n",
      "2017-07-29           0.06\n",
      "2017-07-29           0.23\n",
      "2017-07-29           0.00\n",
      "2017-07-29           0.30\n",
      "2017-07-29           0.00\n",
      "2017-07-30           0.30\n",
      "2017-07-30           0.00\n",
      "2017-07-30           0.00\n",
      "2017-07-30           0.00\n",
      "2017-07-30           0.00\n",
      "2017-07-31           0.00\n",
      "2017-07-31           0.00\n",
      "2017-07-31           0.00\n",
      "2017-07-31            NaN\n",
      "2017-07-31           0.00\n",
      "2017-07-31            NaN\n",
      "2017-07-31           0.00\n",
      "2017-08-01           0.02\n",
      "2017-08-01            NaN\n",
      "2017-08-01           0.12\n",
      "2017-08-01           0.00\n",
      "2017-08-02           0.00\n",
      "2017-08-02           0.25\n",
      "2017-08-02           0.05\n",
      "2017-08-02           0.00\n",
      "2017-08-03           0.01\n",
      "2017-08-03           0.00\n",
      "2017-08-03           0.06\n",
      "2017-08-03           0.00\n",
      "2017-08-04           0.00\n",
      "2017-08-04           0.04\n",
      "2017-08-04           0.00\n",
      "2017-08-04           0.02\n",
      "2017-08-05            NaN\n",
      "2017-08-05           0.00\n",
      "2017-08-05           0.06\n",
      "2017-08-06            NaN\n",
      "2017-08-06           0.00\n",
      "2017-08-06           0.00\n",
      "2017-08-06           0.00\n",
      "2017-08-06           0.00\n",
      "2017-08-07           0.00\n",
      "2017-08-07           0.05\n",
      "2017-08-07           0.00\n",
      "2017-08-07           0.00\n",
      "2017-08-08           0.00\n",
      "2017-08-08           0.34\n",
      "2017-08-08           0.00\n",
      "2017-08-08           0.10\n",
      "2017-08-09           0.00\n",
      "2017-08-09           0.00\n",
      "2017-08-09           0.15\n",
      "2017-08-10           0.00\n",
      "2017-08-10           0.07\n",
      "2017-08-10           0.00\n",
      "2017-08-10           0.00\n",
      "2017-08-11           0.00\n",
      "2017-08-11           0.00\n",
      "2017-08-11            NaN\n",
      "2017-08-11           0.00\n",
      "2017-08-12           0.00\n",
      "2017-08-12           0.14\n",
      "2017-08-12           0.00\n",
      "2017-08-13           0.00\n",
      "2017-08-13            NaN\n",
      "2017-08-13           0.00\n",
      "2017-08-13            NaN\n",
      "2017-08-13           0.00\n",
      "2017-08-14           0.08\n",
      "2017-08-14           0.01\n",
      "2017-08-14           0.22\n",
      "2017-08-14           0.00\n",
      "2017-08-14           0.00\n",
      "2017-08-15           0.06\n",
      "2017-08-15           0.42\n",
      "2017-08-15           0.32\n",
      "2017-08-15           0.00\n",
      "2017-08-15           0.02\n",
      "2017-08-16           0.42\n",
      "2017-08-16           0.12\n",
      "2017-08-16           0.07\n",
      "2017-08-16           0.00\n",
      "2017-08-17           0.13\n",
      "2017-08-17           0.01\n",
      "2017-08-17           0.00\n",
      "2017-08-17           0.05\n",
      "2017-08-18            NaN\n",
      "2017-08-18           0.06\n",
      "2017-08-18           0.00\n",
      "2017-08-18           0.00\n",
      "2017-08-19           0.00\n",
      "2017-08-19           0.09\n",
      "2017-08-19            NaN\n",
      "2017-08-19           0.00\n",
      "2017-08-20           0.00\n",
      "2017-08-20           0.01\n",
      "2017-08-20            NaN\n",
      "2017-08-21           0.56\n",
      "2017-08-21           0.02\n",
      "2017-08-21           0.00\n",
      "2017-08-21            NaN\n",
      "2017-08-22           0.00\n",
      "2017-08-22           0.50\n",
      "2017-08-22           0.00\n",
      "2017-08-23           0.00\n",
      "2017-08-23           0.00\n",
      "2017-08-23           0.08\n",
      "2017-08-23           0.45\n"
     ]
    }
   ],
   "source": [
    "# many dates are not in chronological order. Sort the values by date\n",
    "df = df.sort_index()\n",
    "\n",
    "# print the sorted list without the index\n",
    "print(df.to_string(index=False))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plot the Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<function matplotlib.pyplot.show(close=None, block=None)>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot()\n",
    "plt.xticks(rotation = 90)\n",
    "plt.show"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Generate the Summary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>precipitation</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>2021.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.177279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.461190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.020000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>0.130000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>6.700000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       precipitation\n",
       "count    2021.000000\n",
       "mean        0.177279\n",
       "std         0.461190\n",
       "min         0.000000\n",
       "25%         0.000000\n",
       "50%         0.020000\n",
       "75%         0.130000\n",
       "max         6.700000"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# summary of different statistics for the amount of precipitation in a year.\n",
    "df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2) Weather Station Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Getting the number of stations in our dataswt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(9,)]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# How many stations are available in this dataset?\n",
    "session.query()\n",
    "session.query(func.count(Station.station)).all()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Determine the Most Active Stations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('USC00519281', 2772),\n",
       " ('USC00519397', 2724),\n",
       " ('USC00513117', 2709),\n",
       " ('USC00519523', 2669),\n",
       " ('USC00516128', 2612),\n",
       " ('USC00514830', 2202),\n",
       " ('USC00511918', 1979),\n",
       " ('USC00517948', 1372),\n",
       " ('USC00518838', 511)]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# What are the most active stations?\n",
    "# List the stations and the counts in descending order.\n",
    "session.query(Measurement.station, func.count(Measurement.station)).\\\n",
    "group_by(Measurement.station).order_by(func.count(Measurement.station).desc()).all()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Find Low, High, and Average Temperatures"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(54.0, 85.0, 71.66378066378067)]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# The outcome of the previous query shows that the most active station is USC00519281.\n",
    "# Using the station id from the previous query, calculate the lowest temperature recorded, \n",
    "# highest temperature recorded, and average temperature for the most active station? \n",
    "\n",
    "session.query(func.min(Measurement.tobs), func.max(Measurement.tobs), func.avg(Measurement.tobs)).\\\n",
    "filter(Measurement.station == 'USC00519281').all()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plot the Highest Number of Observations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[(77.0,), (77.0,), (80.0,), (80.0,), (75.0,), (73.0,), (78.0,), (77.0,), (78.0,), (80.0,), (80.0,), (78.0,), (78.0,), (78.0,), (73.0,), (74.0,), (80.0,), (79.0,), (77.0,), (80.0,), (76.0,), (79.0,), (75.0,), (79.0,), (78.0,), (79.0,), (78.0,), (78.0,), (76.0,), (74.0,), (77.0,), (78.0,), (79.0,), (79.0,), (77.0,), (80.0,), (78.0,), (78.0,), (78.0,), (77.0,), (79.0,), (79.0,), (79.0,), (79.0,), (75.0,), (76.0,), (73.0,), (72.0,), (71.0,), (77.0,), (79.0,), (78.0,), (79.0,), (77.0,), (79.0,), (77.0,), (78.0,), (78.0,), (78.0,), (78.0,), (77.0,), (74.0,), (75.0,), (76.0,), (73.0,), (76.0,), (74.0,), (77.0,), (76.0,), (76.0,), (74.0,), (75.0,), (75.0,), (75.0,), (75.0,), (71.0,), (63.0,), (70.0,), (68.0,), (67.0,), (77.0,), (74.0,), (77.0,), (76.0,), (76.0,), (75.0,), (76.0,), (75.0,), (73.0,), (75.0,), (73.0,), (75.0,), (74.0,), (75.0,), (74.0,), (75.0,), (73.0,), (75.0,), (73.0,), (73.0,), (74.0,), (70.0,), (72.0,), (70.0,), (67.0,), (67.0,), (69.0,), (70.0,), (68.0,), (69.0,), (69.0,), (66.0,), (65.0,), (68.0,), (62.0,), (75.0,), (70.0,), (69.0,), (76.0,), (76.0,), (74.0,), (73.0,), (71.0,), (74.0,), (74.0,), (72.0,), (71.0,), (72.0,), (74.0,), (69.0,), (67.0,), (72.0,), (70.0,), (64.0,), (63.0,), (63.0,), (62.0,), (70.0,), (70.0,), (62.0,), (62.0,), (63.0,), (65.0,), (69.0,), (77.0,), (70.0,), (74.0,), (69.0,), (72.0,), (71.0,), (69.0,), (71.0,), (71.0,), (72.0,), (72.0,), (69.0,), (70.0,), (66.0,), (65.0,), (69.0,), (68.0,), (68.0,), (68.0,), (59.0,), (60.0,), (70.0,), (73.0,), (75.0,), (64.0,), (59.0,), (59.0,), (62.0,), (68.0,), (70.0,), (73.0,), (79.0,), (75.0,), (65.0,), (70.0,), (74.0,), (70.0,), (70.0,), (71.0,), (71.0,), (71.0,), (69.0,), (61.0,), (67.0,), (65.0,), (72.0,), (71.0,), (73.0,), (72.0,), (77.0,), (73.0,), (67.0,), (62.0,), (64.0,), (67.0,), (66.0,), (81.0,), (69.0,), (66.0,), (67.0,), (69.0,), (66.0,), (68.0,), (65.0,), (74.0,), (69.0,), (72.0,), (73.0,), (72.0,), (71.0,), (76.0,), (77.0,), (76.0,), (74.0,), (68.0,), (73.0,), (71.0,), (74.0,), (75.0,), (70.0,), (67.0,), (71.0,), (67.0,), (74.0,), (77.0,), (78.0,), (67.0,), (70.0,), (69.0,), (69.0,), (74.0,), (78.0,), (71.0,), (67.0,), (68.0,), (67.0,), (76.0,), (69.0,), (72.0,), (76.0,), (68.0,), (72.0,), (74.0,), (70.0,), (67.0,), (72.0,), (60.0,), (65.0,), (75.0,), (70.0,), (75.0,), (70.0,), (79.0,), (75.0,), (70.0,), (67.0,), (74.0,), (70.0,), (75.0,), (76.0,), (77.0,), (74.0,), (74.0,), (74.0,), (69.0,), (68.0,), (76.0,), (74.0,), (71.0,), (71.0,), (74.0,), (74.0,), (74.0,), (74.0,), (80.0,), (74.0,), (72.0,), (75.0,), (80.0,), (76.0,), (76.0,), (77.0,), (75.0,), (75.0,), (75.0,), (75.0,), (72.0,), (74.0,), (74.0,), (74.0,), (76.0,), (74.0,), (75.0,), (73.0,), (79.0,), (75.0,), (72.0,), (72.0,), (74.0,), (72.0,), (72.0,), (77.0,), (71.0,), (73.0,), (76.0,), (77.0,), (76.0,), (76.0,), (79.0,), (81.0,), (76.0,), (78.0,), (77.0,), (74.0,), (75.0,), (78.0,), (78.0,), (69.0,), (72.0,), (74.0,), (74.0,), (76.0,), (80.0,), (80.0,), (76.0,), (76.0,), (76.0,), (77.0,), (77.0,), (77.0,), (82.0,), (75.0,), (77.0,), (75.0,), (76.0,), (81.0,), (82.0,), (81.0,), (76.0,), (77.0,), (82.0,), (83.0,), (77.0,), (77.0,), (77.0,), (76.0,), (76.0,), (79.0,)]\n"
     ]
    }
   ],
   "source": [
    "# Choose the station with the highest number of temperature observations.\n",
    "# Query the last 12 months of temperature observation data for this station and plot the results as a histogram\n",
    "\n",
    "# select the column we are interested in and pull Measurement.tobs in order to get our \n",
    "# total observations count. filter out all the stations except the most active station\n",
    "# apply another filter to consider only the most recent year.\n",
    "session.query(Measurement.tobs)\n",
    "results = session.query(Measurement.tobs).\\\n",
    "filter(Measurement.station == 'USC00519281').\\\n",
    "filter(Measurement.date >= prev_year).all()\n",
    "\n",
    "print(results)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Convert the Temperature Observation Results to a DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     tobs\n",
      "0    77.0\n",
      "1    77.0\n",
      "2    80.0\n",
      "3    80.0\n",
      "4    75.0\n",
      "..    ...\n",
      "347  77.0\n",
      "348  77.0\n",
      "349  76.0\n",
      "350  76.0\n",
      "351  79.0\n",
      "\n",
      "[352 rows x 1 columns]\n"
     ]
    }
   ],
   "source": [
    "df = pd.DataFrame(results, columns=['tobs'])\n",
    "print(df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plot the Temperature Observations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot.hist(bins=12)\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Looking at the above plot, we can infer that a vast majority of the observations were \n",
    "over 67 degrees. If you count up the bins to the right of 67 degrees, you will get \n",
    "about 325 days where it was over 67 degrees when the temperature was observed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Write a function called `calc_temps` that will accept start date and end date in the format '%Y-%m-%d' \n",
    "# and return the minimum, average, and maximum temperatures for that range of dates\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Challenge"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "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": "3.7.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}