climate_analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib notebook\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": [
    "# In order to connect to our SQLite database, we need to use the create_engine() function. This function doesn't actually \n",
    "# connect to our database; it just prepares the database file to be connected to later on.\n",
    "# This function will typically have one parameter, which is the location of the SQLite database file. Try this function \n",
    "# by adding the following line to your code.\n",
    "engine = create_engine(\"sqlite:///hawaii.sqlite\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# reflect an existing database into a new model. This means o transfer the contents of the database into a different \n",
    "# structure of data. \n",
    "# Automap Base creates a base class for an automap schema in SQLAlchemy. Basically, it sets up a foundation for us to \n",
    "# build on in SQLAlchemy, and by adding it to our code, it will help the rest of our code to function properly.\n",
    "# In order for your code to function properly, you will need to add this line to your code:\n",
    "Base = automap_base()\n",
    "\n",
    "# reflect the tables with the prepare() function. By adding this code, we'll reflect the schema of our SQLite tables into \n",
    "# our code and create mappings. Add the following code to reflect the schema from the tables to our code:\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": [
    "# Now that we've reflected our database tables, we can check out the classes we'll be creating with Automap.\n",
    "# We can view all of the classes that Automap found\n",
    "# We will double-check this by using Base.classes.keys(). This code references the classes that were mapped in each table.\n",
    "\n",
    "#    Base.classes gives us access to all the classes.\n",
    "#    keys() references all the names of the classes.\n",
    "\n",
    "# Previously, we talked about decoupled systems in the SQLAlchemy ORM. This directly relates to the classes we have created\n",
    "# here. These classes help keep our data separate, or decoupled. Keep in mind that our data is no longer stored in tables, \n",
    "# but rather in classes. The code we will run below enables us to essentially copy, or reflect, our data into different \n",
    "# classes instead of database tables.\n",
    "Base.classes.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Module says above should have output of ['measurement', 'station']\n",
    "# Save references to each table\n",
    "# In order to reference a specific class, we use Base.classes.<class name>. For example, if we wanted to reference the \n",
    "# station class, we would use Base.classes.station.\n",
    "\n",
    "# Since it can be rather cumbersome to type Base.classes every time we want to reference the measurement or station classes,\n",
    "# we can give the classes new variable names. In this case, we will create new references for our Measurement class and \n",
    "# Station class. Add these new variables to your code:\n",
    "#comment out the code; may not handle \"restart and run all code\" since already created\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 using code. First, we'll use an SQLAlchemy Session to query our database.\n",
    "# Our session essentially allows us to query for data.\n",
    "session = Session(engine)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Exploratory Climate Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[('2016-08-23', 0.0), ('2016-08-24', 0.08), ('2016-08-25', 0.08), ('2016-08-26', 0.0), ('2016-08-27', 0.0), ('2016-08-28', 0.01), ('2016-08-29', 0.0), ('2016-08-30', 0.0), ('2016-08-31', 0.13), ('2016-09-01', 0.0), ('2016-09-02', 0.0), ('2016-09-03', 0.0), ('2016-09-04', 0.03), ('2016-09-05', None), ('2016-09-06', None), ('2016-09-07', 0.05), ('2016-09-08', 0.0), ('2016-09-09', 0.03), ('2016-09-10', 0.0), ('2016-09-11', 0.05), ('2016-09-12', 0.0), ('2016-09-13', 0.02), ('2016-09-14', 1.32), ('2016-09-15', 0.42), ('2016-09-16', 0.06), ('2016-09-17', 0.05), ('2016-09-18', 0.0), ('2016-09-19', 0.0), ('2016-09-20', 0.0), ('2016-09-21', 0.0), ('2016-09-22', 0.02), ('2016-09-23', 0.0), ('2016-09-24', 0.0), ('2016-09-25', 0.0), ('2016-09-26', 0.06), ('2016-09-27', 0.02), ('2016-09-28', 0.0), ('2016-09-29', 0.0), ('2016-09-30', 0.0), ('2016-10-01', 0.0), ('2016-10-02', 0.0), ('2016-10-03', 0.0), ('2016-10-04', 0.0), ('2016-10-05', 0.0), ('2016-10-06', 0.0), ('2016-10-07', 0.0), ('2016-10-08', 0.0), ('2016-10-09', 0.0), ('2016-10-10', 0.0), ('2016-10-11', 0.0), ('2016-10-12', 0.0), ('2016-10-13', 0.0), ('2016-10-14', 0.0), ('2016-10-15', 0.0), ('2016-10-16', 0.0), ('2016-10-17', 0.01), ('2016-10-18', 0.0), ('2016-10-19', 0.0), ('2016-10-20', 0.0), ('2016-10-21', 0.05), ('2016-10-22', 0.15), ('2016-10-23', 0.01), ('2016-10-24', 0.0), ('2016-10-25', 0.03), ('2016-10-26', 0.0), ('2016-10-27', 0.0), ('2016-10-28', 0.0), ('2016-10-29', 0.0), ('2016-10-30', 0.24), ('2016-10-31', 0.03), ('2016-11-01', 0.0), ('2016-11-02', 0.0), ('2016-11-03', 0.0), ('2016-11-04', 0.0), ('2016-11-05', 0.0), ('2016-11-06', 0.0), ('2016-11-07', 0.0), ('2016-11-08', 0.07), ('2016-11-09', 0.0), ('2016-11-10', 0.0), ('2016-11-11', 0.0), ('2016-11-12', 0.0), ('2016-11-13', 0.0), ('2016-11-14', 0.0), ('2016-11-15', 0.0), ('2016-11-16', 0.0), ('2016-11-17', 0.0), ('2016-11-18', 0.0), ('2016-11-19', 0.03), ('2016-11-20', 0.05), ('2016-11-21', 0.01), ('2016-11-22', 0.13), ('2016-11-23', 0.14), ('2016-11-24', 0.05), ('2016-11-25', 0.05), ('2016-11-26', 0.05), ('2016-11-27', 0.0), ('2016-11-28', 0.01), ('2016-11-29', 0.0), ('2016-11-30', 0.14), ('2016-12-01', 0.12), ('2016-12-02', 0.03), ('2016-12-03', 0.0), ('2016-12-04', 0.03), ('2016-12-05', 0.43), ('2016-12-06', 0.02), ('2016-12-07', 0.0), ('2016-12-08', 0.03), ('2016-12-09', 0.52), ('2016-12-10', 0.05), ('2016-12-11', 0.04), ('2016-12-12', 0.01), ('2016-12-13', 0.05), ('2016-12-14', 0.03), ('2016-12-15', 0.0), ('2016-12-16', 0.0), ('2016-12-17', 0.01), ('2016-12-18', 0.13), ('2016-12-19', 0.01), ('2016-12-20', 0.0), ('2016-12-21', 0.0), ('2016-12-22', 0.01), ('2016-12-23', 0.01), ('2016-12-24', 0.01), ('2016-12-25', 0.0), ('2016-12-26', 0.02), ('2016-12-27', 0.0), ('2016-12-28', 0.02), ('2016-12-29', 0.04), ('2016-12-30', 0.12), ('2016-12-31', 0.01), ('2017-01-01', 0.0), ('2017-01-02', 0.0), ('2017-01-03', 0.0), ('2017-01-04', 0.0), ('2017-01-05', 0.0), ('2017-01-06', 0.0), ('2017-01-07', 0.0), ('2017-01-08', 0.0), ('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', 0.0), ('2017-01-16', 0.0), ('2017-01-17', 0.0), ('2017-01-18', 0.0), ('2017-01-19', 0.0), ('2017-01-20', 0.0), ('2017-01-21', 0.0), ('2017-01-22', 0.16), ('2017-01-23', 0.0), ('2017-01-24', 0.04), ('2017-01-25', 0.03), ('2017-01-26', 0.0), ('2017-01-27', 0.0), ('2017-01-28', 0.0), ('2017-01-29', 0.18), ('2017-01-30', 0.0), ('2017-01-31', 0.0), ('2017-02-01', 0.0), ('2017-02-02', 0.0), ('2017-02-03', 0.0), ('2017-02-04', 0.0), ('2017-02-05', 0.0), ('2017-02-06', 0.0), ('2017-02-07', 0.51), ('2017-02-08', 0.0), ('2017-02-09', 0.0), ('2017-02-10', 0.0), ('2017-02-11', 0.31), ('2017-02-12', 2.62), ('2017-02-13', 0.01), ('2017-02-14', 0.0), ('2017-02-15', 0.0), ('2017-02-16', 0.07), ('2017-02-17', 0.0), ('2017-02-18', 0.0), ('2017-02-19', 0.0), ('2017-02-20', 0.0), ('2017-02-21', 0.06), ('2017-02-22', 0.06), ('2017-02-23', 0.01), ('2017-02-24', 0.0), ('2017-02-25', 0.03), ('2017-02-26', 0.0), ('2017-02-27', 0.0), ('2017-02-28', 0.0), ('2017-03-01', 1.19), ('2017-03-02', 0.73), ('2017-03-03', 0.47), ('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', 0.0), ('2017-03-10', 0.0), ('2017-03-11', 0.0), ('2017-03-12', 0.0), ('2017-03-13', 0.0), ('2017-03-14', 0.0), ('2017-03-15', 0.0), ('2017-03-16', 0.0), ('2017-03-17', 0.0), ('2017-03-18', 0.0), ('2017-03-19', 0.0), ('2017-03-20', 0.0), ('2017-03-21', 0.0), ('2017-03-22', 0.0), ('2017-03-23', 0.0), ('2017-03-24', 0.02), ('2017-03-25', 0.0), ('2017-03-26', 0.0), ('2017-03-27', 0.0), ('2017-03-28', 0.0), ('2017-03-29', 0.0), ('2017-03-30', 0.0), ('2017-03-31', 0.0), ('2017-04-01', 0.0), ('2017-04-02', 0.0), ('2017-04-03', 0.0), ('2017-04-04', 0.0), ('2017-04-05', 0.0), ('2017-04-06', 0.0), ('2017-04-07', 0.0), ('2017-04-08', 0.0), ('2017-04-09', 0.0), ('2017-04-10', 0.0), ('2017-04-11', 0.0), ('2017-04-12', 0.0), ('2017-04-13', 0.0), ('2017-04-14', 0.26), ('2017-04-15', 0.01), ('2017-04-16', 0.0), ('2017-04-17', 0.02), ('2017-04-18', 0.0), ('2017-04-19', 0.02), ('2017-04-20', 0.05), ('2017-04-21', 0.23), ('2017-04-22', 0.32), ('2017-04-23', 0.03), ('2017-04-24', 0.0), ('2017-04-25', 0.0), ('2017-04-26', 0.0), ('2017-04-27', 0.0), ('2017-04-28', 0.0), ('2017-04-29', 0.12), ('2017-04-30', 0.89), ('2017-05-01', 0.26), ('2017-05-02', 0.0), ('2017-05-03', 0.0), ('2017-05-04', 0.0), ('2017-05-05', 0.0), ('2017-05-06', 0.0), ('2017-05-07', 0.0), ('2017-05-08', 0.0), ('2017-05-10', 0.0), ('2017-05-11', 0.01), ('2017-05-12', 0.0), ('2017-05-13', 0.0), ('2017-05-14', 0.0), ('2017-05-15', 0.05), ('2017-05-16', 0.01), ('2017-05-17', 0.0), ('2017-05-18', 0.01), ('2017-05-19', 0.0), ('2017-05-20', 0.0), ('2017-05-21', 0.0), ('2017-05-22', 0.0), ('2017-05-23', 0.08), ('2017-05-24', 0.13), ('2017-05-25', 0.15), ('2017-05-27', 0.01), ('2017-05-28', 0.02), ('2017-05-29', 0.0), ('2017-05-30', 0.26), ('2017-05-31', 0.02), ('2017-06-01', 0.0), ('2017-06-02', 0.0), ('2017-06-03', 0.02), ('2017-06-04', 0.0), ('2017-06-05', 0.0), ('2017-06-06', 0.0), ('2017-06-07', 0.0), ('2017-06-08', 0.0), ('2017-06-09', 0.0), ('2017-06-10', 0.04), ('2017-06-11', 0.08), ('2017-06-12', 0.02), ('2017-06-13', 0.0), ('2017-06-14', 0.0), ('2017-06-15', 0.0), ('2017-06-16', 0.0), ('2017-06-17', 0.0), ('2017-06-18', 0.05), ('2017-06-19', 0.0), ('2017-06-20', 0.02), ('2017-06-21', 0.0), ('2017-06-22', 0.0), ('2017-06-23', 0.0), ('2017-06-24', 0.06), ('2017-06-25', 0.0), ('2017-06-26', 0.0), ('2017-06-27', 0.0), ('2017-06-28', 0.0), ('2017-06-29', 0.0), ('2017-06-30', 0.08), ('2017-07-01', 0.02), ('2017-07-02', 0.02), ('2017-07-03', 0.04), ('2017-07-04', 0.04), ('2017-07-05', 0.0), ('2017-07-06', 0.0), ('2017-07-07', 0.0), ('2017-07-08', 0.0), ('2017-07-09', 0.0), ('2017-07-10', 0.0), ('2017-07-11', 0.0), ('2017-07-12', 0.0), ('2017-07-13', 0.07), ('2017-07-14', 0.02), ('2017-07-15', 0.0), ('2017-07-16', 0.02), ('2017-07-17', 0.03), ('2017-07-18', 0.05), ('2017-07-20', 0.03), ('2017-07-21', 0.0), ('2017-07-22', 0.03), ('2017-07-23', 0.0), ('2017-07-24', 0.05), ('2017-07-25', 0.0), ('2017-07-26', 0.0), ('2017-07-27', 0.0), ('2017-07-28', 0.0), ('2017-07-29', 0.0), ('2017-07-30', 0.0), ('2017-07-31', 0.0), ('2017-08-01', 0.02), ('2017-08-02', 0.0), ('2017-08-03', 0.0), ('2017-08-04', 0.02), ('2017-08-05', 0.0), ('2017-08-06', 0.0), ('2017-08-07', 0.0), ('2017-08-08', 0.0), ('2017-08-09', 0.0), ('2017-08-10', 0.0), ('2017-08-11', 0.0), ('2017-08-12', 0.0), ('2017-08-13', 0.0), ('2017-08-14', 0.0), ('2017-08-15', 0.02), ('2017-08-18', 0.0), ('2017-08-19', 0.0), ('2017-08-20', 0.0), ('2017-08-21', 0.0), ('2017-08-22', 0.0), ('2017-08-23', 0.0), ('2016-08-23', 0.15), ('2016-08-24', 2.15), ('2016-08-25', 0.08), ('2016-08-26', 0.03), ('2016-08-27', 0.18), ('2016-08-28', 0.14), ('2016-08-29', 0.17), ('2016-08-30', 0.0), ('2016-08-31', 0.1), ('2016-09-01', 0.0), ('2016-09-02', 0.02), ('2016-09-03', 0.07), ('2016-09-04', 0.03), ('2016-09-05', 0.11), ('2016-09-06', 0.05), ('2016-09-07', 0.1), ('2016-09-08', 0.22), ('2016-09-09', 0.01), ('2016-09-10', 0.01), ('2016-09-11', 0.18), ('2016-09-12', 0.04), ('2016-09-13', 0.37), ('2016-09-14', 0.9), ('2016-09-15', 0.12), ('2016-09-16', 0.01), ('2016-09-17', 0.04), ('2016-09-18', 0.0), ('2016-09-19', 0.01), ('2016-09-20', 0.09), ('2016-09-21', 0.06), ('2016-09-22', 0.09), ('2016-09-23', 0.15), ('2016-09-24', 0.0), ('2016-09-25', 0.02), ('2016-09-26', 0.06), ('2016-09-27', 0.12), ('2016-09-28', 0.08), ('2016-09-29', 0.49), ('2016-09-30', 0.31), ('2016-10-01', 0.14), ('2016-10-02', 0.02), ('2016-10-03', 0.04), ('2016-10-04', 0.0), ('2016-10-05', 0.0), ('2016-10-06', 0.05), ('2016-10-07', 0.0), ('2016-10-08', 0.0), ('2016-10-09', 0.0), ('2016-10-10', 0.0), ('2016-10-11', 0.02), ('2016-10-12', 0.03), ('2016-10-13', 0.0), ('2016-10-14', 0.0), ('2016-10-15', 0.0), ('2016-10-16', 0.0), ('2016-10-17', 0.03), ('2016-10-18', 0.05), ('2016-10-19', 0.06), ('2016-10-20', 0.0), ('2016-10-21', 0.15), ('2016-10-22', 0.1), ('2016-10-23', 0.01), ('2016-10-24', 0.0), ('2016-10-25', 0.04), ('2016-10-26', 0.06), ('2016-10-27', 0.11), ('2016-10-28', 0.02), ('2016-10-29', 0.02), ('2016-10-30', 0.1), ('2016-10-31', 0.03), ('2016-11-01', 0.01), ('2016-11-02', 0.0), ('2016-11-03', 0.0), ('2016-11-04', 0.0), ('2016-11-05', 0.02), ('2016-11-06', 0.02), ('2016-11-07', 0.0), ('2016-11-08', 0.14), ('2016-11-09', 0.08), ('2016-11-10', 0.0), ('2016-11-11', 0.0), ('2016-11-12', 0.0), ('2016-11-13', 0.0), ('2016-11-14', 0.06), ('2016-11-15', 0.0), ('2016-11-16', 0.14), ('2016-11-17', 0.03), ('2016-11-18', 0.01), ('2016-11-19', 0.11), ('2016-11-20', 0.11), ('2016-11-21', 0.02), ('2016-11-22', 0.41), ('2016-11-23', 0.03), ('2016-11-24', 0.2), ('2016-11-25', 0.05), ('2016-11-26', 0.05), ('2016-11-27', 0.06), ('2016-11-28', 0.02), ('2016-11-29', 0.04), ('2016-11-30', 0.05), ('2016-12-01', 0.33), ('2016-12-02', 0.3), ('2016-12-03', 0.04), ('2016-12-04', 0.1), ('2016-12-05', 0.34), ('2016-12-06', 0.02), ('2016-12-07', 0.17), ('2016-12-08', 0.03), ('2016-12-09', 0.34), ('2016-12-10', 0.02), ('2016-12-11', 0.02), ('2016-12-12', 0.01), ('2016-12-13', 0.1), ('2016-12-14', 0.05), ('2016-12-15', 0.02), ('2016-12-16', 0.01), ('2016-12-17', 0.11), ('2016-12-18', 0.29), ('2016-12-19', 0.21), ('2016-12-20', 0.02), ('2016-12-21', 0.03), ('2016-12-22', 0.17), ('2016-12-23', 0.1), ('2016-12-24', 0.14), ('2016-12-25', 0.03), ('2016-12-26', 0.26), ('2016-12-27', 0.03), ('2016-12-28', 0.09), ('2016-12-29', 0.18), ('2016-12-30', 0.21), ('2016-12-31', 0.62), ('2017-01-01', 0.29), ('2017-01-02', 0.0), ('2017-01-03', 0.0), ('2017-01-04', 0.0), ('2017-01-05', 0.0), ('2017-01-06', 0.0), ('2017-01-07', 0.06), ('2017-01-08', 0.0), ('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', 0.0), ('2017-01-16', 0.0), ('2017-01-17', 0.0), ('2017-01-18', 0.0), ('2017-01-19', 0.0), ('2017-01-20', 0.0), ('2017-01-21', 0.04), ('2017-01-22', 0.01), ('2017-01-23', 0.08), ('2017-01-24', 0.15), ('2017-01-25', 0.12), ('2017-01-26', 0.0), ('2017-01-27', 0.0), ('2017-01-28', 0.14), ('2017-01-29', 0.0), ('2017-01-30', 0.0), ('2017-01-31', 0.0), ('2017-02-01', 0.0), ('2017-02-02', 0.0), ('2017-02-03', 0.0), ('2017-02-04', 0.0), ('2017-02-05', 0.0), ('2017-02-06', 0.16), ('2017-02-07', 1.08), ('2017-02-08', 1.08), ('2017-02-09', 0.02), ('2017-02-10', 0.0), ('2017-02-11', 1.0), ('2017-02-12', 1.07), ('2017-02-13', 2.9), ('2017-02-14', 0.0), ('2017-02-15', 0.0), ('2017-02-16', 0.0), ('2017-02-17', 0.8), ('2017-02-18', 0.0), ('2017-02-19', 0.0), ('2017-02-20', 0.0), ('2017-02-21', 0.0), ('2017-02-22', 0.06), ('2017-02-23', 0.0), ('2017-02-24', 0.0), ('2017-02-25', 0.0), ('2017-02-26', 0.0), ('2017-02-27', 0.0), ('2017-02-28', 0.16), ('2017-03-01', 2.2), ('2017-03-02', 1.45), ('2017-03-03', 0.54), ('2017-03-04', 0.0), ('2017-03-05', 0.1), ('2017-03-06', 0.51), ('2017-03-07', 0.0), ('2017-03-08', 0.0), ('2017-03-09', 0.8), ('2017-03-10', 0.13), ('2017-03-11', 0.03), ('2017-03-12', 0.0), ('2017-03-13', 0.0), ('2017-03-14', 0.0), ('2017-03-15', 0.0), ('2017-03-16', 0.0), ('2017-03-17', 0.19), ('2017-03-18', 0.0), ('2017-03-19', 0.0), ('2017-03-20', 0.0), ('2017-03-21', 0.0), ('2017-03-22', 0.0), ('2017-03-23', 0.0), ('2017-03-24', 0.6), ('2017-03-25', 0.13), ('2017-03-26', 0.0), ('2017-03-27', 0.0), ('2017-03-28', 0.03), ('2017-03-29', 0.0), ('2017-03-30', 0.08), ('2017-03-31', 0.0), ('2017-04-01', 0.0), ('2017-04-02', 0.0), ('2017-04-03', 0.08), ('2017-04-04', 0.04), ('2017-04-05', 0.04), ('2017-04-06', 0.0), ('2017-04-07', 0.0), ('2017-04-08', 0.0), ('2017-04-09', 0.0), ('2017-04-10', 0.01), ('2017-04-11', 0.03), ('2017-04-12', 0.03), ('2017-04-13', 0.27), ('2017-04-14', 0.69), ('2017-04-15', 0.45), ('2017-04-16', 0.49), ('2017-04-17', 0.41), ('2017-04-18', 0.08), ('2017-04-19', 0.02), ('2017-04-20', 0.33), ('2017-04-21', 1.16), ('2017-04-22', 1.01), ('2017-04-23', 0.02), ('2017-04-24', 0.0), ('2017-04-25', 0.0), ('2017-04-26', 0.0), ('2017-04-27', 0.1), ('2017-04-28', 2.6), ('2017-04-29', 0.35), ('2017-04-30', 1.21), ('2017-05-01', 0.07), ('2017-05-02', 0.03), ('2017-05-03', 0.01), ('2017-05-04', 0.0), ('2017-05-05', 0.0), ('2017-05-06', 0.0), ('2017-05-07', 0.07), ('2017-05-08', 0.22), ('2017-05-09', 1.62), ('2017-05-10', 0.05), ('2017-05-11', 0.03), ('2017-05-12', 0.04), ('2017-05-13', 0.02), ('2017-05-14', 0.05), ('2017-05-15', 0.08), ('2017-05-16', 0.03), ('2017-05-17', 0.02), ('2017-05-18', 0.09), ('2017-05-19', 0.02), ('2017-05-20', 0.0), ('2017-05-21', 0.0), ('2017-05-22', 0.0), ('2017-05-23', 0.02), ('2017-05-24', 0.58), ('2017-05-25', 0.37), ('2017-05-26', 0.02), ('2017-05-27', 0.0), ('2017-05-28', 0.29), ('2017-05-29', 0.02), ('2017-05-30', 0.2), ('2017-05-31', 0.1), ('2017-06-01', 0.03), ('2017-06-02', 0.1), ('2017-06-03', 0.2), ('2017-06-04', 0.15), ('2017-06-05', 0.0), ('2017-06-06', 0.0), ('2017-06-07', 0.0), ('2017-06-08', 0.02), ('2017-06-09', 0.02), ('2017-06-10', 0.21), ('2017-06-11', 0.24), ('2017-06-12', 0.19), ('2017-06-13', 0.36), ('2017-06-14', 0.27), ('2017-06-15', 0.17), ('2017-06-16', 0.02), ('2017-06-17', 0.35), ('2017-06-18', 0.25), ('2017-06-19', 0.05), ('2017-06-20', 0.05), ('2017-06-21', 0.02), ('2017-06-22', 0.1), ('2017-06-23', 0.0), ('2017-06-24', 0.0), ('2017-06-25', 0.08), ('2017-06-26', 0.02), ('2017-06-27', 0.0), ('2017-06-28', 0.01), ('2017-06-29', 0.03), ('2017-06-30', 0.04), ('2017-07-01', 0.06), ('2017-07-02', 0.05), ('2017-07-03', 0.13), ('2017-07-04', 0.03), ('2017-07-05', 0.0), ('2017-07-06', 0.0), ('2017-07-07', 0.02), ('2017-07-08', 0.02), ('2017-07-09', 0.09), ('2017-07-10', 0.0), ('2017-07-11', 0.01), ('2017-07-12', 0.01), ('2017-07-13', 0.33), ('2017-07-14', 0.05), ('2017-07-15', 0.03), ('2017-07-16', 0.07), ('2017-07-17', 0.12), ('2017-07-18', 0.03), ('2017-07-19', 0.0), ('2017-07-20', 0.12), ('2017-07-21', 0.0), ('2017-07-22', 0.07), ('2017-07-23', 0.06), ('2017-07-24', 0.58), ('2017-07-25', 0.03), ('2017-07-26', 0.06), ('2017-07-27', 0.0), ('2017-07-28', 0.13), ('2017-07-29', 0.06), ('2017-07-30', 0.0), ('2017-07-31', 0.0), ('2016-08-23', 0.05), ('2016-08-24', 2.28), ('2016-08-25', 0.0), ('2016-08-26', 0.02), ('2016-08-27', 0.02), ('2016-08-28', 0.14), ('2016-08-29', 0.04), ('2016-08-31', None), ('2016-09-01', 0.0), ('2016-09-02', 0.19), ('2016-09-05', None), ('2016-09-06', 0.04), ('2016-09-07', 0.23), ('2016-09-08', 0.01), ('2016-09-09', 0.29), ('2016-09-12', None), ('2016-09-13', 0.32), ('2016-09-14', 1.84), ('2016-09-15', 0.07), ('2016-09-16', 0.07), ('2016-09-19', None), ('2016-09-20', 0.25), ('2016-09-21', 0.02), ('2016-09-22', 0.17), ('2016-09-23', 0.15), ('2016-09-24', 0.0), ('2016-09-25', 0.0), ('2016-09-26', 0.02), ('2016-09-27', 0.0), ('2016-09-28', 0.0), ('2016-09-29', 0.2), ('2016-09-30', 0.06), ('2016-10-01', 0.08), ('2016-10-02', 0.03), ('2016-10-03', 0.03), ('2016-10-04', 0.0), ('2016-10-05', 0.0), ('2016-10-06', 0.0), ('2016-10-07', 0.0), ('2016-10-10', None), ('2016-10-11', 0.04), ('2016-10-12', 0.0), ('2016-10-13', 0.02), ('2016-10-14', 0.0), ('2016-10-15', 0.02), ('2016-10-17', None), ('2016-10-18', 0.03), ('2016-10-19', 0.0), ('2016-10-20', 0.01), ('2016-10-21', 0.03), ('2016-10-23', None), ('2016-10-24', 0.01), ('2016-10-25', 0.0), ('2016-10-27', 0.2), ('2016-10-28', 0.07), ('2016-10-29', 0.26), ('2016-10-30', 0.14), ('2016-10-31', 0.0), ('2016-11-01', 0.0), ('2016-11-02', 0.0), ('2016-11-03', 0.0), ('2016-11-04', 0.0), ('2016-11-05', 0.0), ('2016-11-06', 0.0), ('2016-11-07', 0.13), ('2016-11-08', 0.02), ('2016-11-09', 0.17), ('2016-11-10', 0.0), ('2016-11-11', 0.0), ('2016-11-12', 0.0), ('2016-11-13', 0.0), ('2016-11-14', 0.05), ('2016-11-15', 0.0), ('2016-11-16', 0.18), ('2016-11-17', 0.0), ('2016-11-22', None), ('2016-11-25', None), ('2016-11-26', 0.02), ('2016-11-27', 0.03), ('2016-11-28', 0.0), ('2016-11-29', 0.04), ('2016-11-30', 0.03), ('2016-12-01', 0.07), ('2016-12-02', 0.4), ('2016-12-03', 0.26), ('2016-12-04', 0.0), ('2016-12-05', 0.2), ('2016-12-07', None), ('2016-12-08', 0.02), ('2016-12-09', 0.26), ('2016-12-10', 0.0), ('2016-12-12', None), ('2016-12-13', 0.34), ('2016-12-14', 0.12), ('2016-12-15', 0.07), ('2016-12-16', 0.0), ('2016-12-17', 0.0), ('2016-12-18', 0.04), ('2016-12-19', 0.0), ('2016-12-20', 0.0), ('2016-12-21', 0.09), ('2016-12-22', 0.05), ('2016-12-23', 0.03), ('2016-12-24', 0.13), ('2016-12-26', None), ('2016-12-27', 0.02), ('2016-12-28', 0.01), ('2016-12-29', 0.56), ('2016-12-30', 0.29), ('2016-12-31', 0.36), ('2017-01-01', 0.0), ('2017-01-02', 0.01), ('2017-01-03', 0.0), ('2017-01-04', 0.0), ('2017-01-05', 0.0), ('2017-01-06', 0.59), ('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), ('2017-01-13', None), ('2017-01-14', 0.0), ('2017-01-16', None), ('2017-01-17', 0.0), ('2017-01-18', 0.0), ('2017-01-19', 0.0), ('2017-01-20', 0.0), ('2017-01-21', 0.02), ('2017-01-23', None), ('2017-01-25', None), ('2017-01-26', 0.01), ('2017-01-27', 0.0), ('2017-01-28', 0.0), ('2017-01-30', None), ('2017-01-31', 0.0), ('2017-02-01', 0.0), ('2017-02-02', 0.0), ('2017-02-03', 0.0), ('2017-02-05', None), ('2017-02-06', 0.04), ('2017-02-07', 0.9), ('2017-02-08', 0.0), ('2017-02-09', 0.0), ('2017-02-10', 0.0), ('2017-02-11', 2.39), ('2017-02-12', 1.91), ('2017-02-13', 0.0), ('2017-02-14', 0.0), ('2017-02-15', 0.0), ('2017-02-16', 0.62), ('2017-02-17', 0.06), ('2017-02-20', None), ('2017-02-21', 0.0), ('2017-02-22', 0.11), ('2017-02-23', 0.0), ('2017-02-24', 0.0), ('2017-02-26', None), ('2017-02-27', 0.0), ('2017-02-28', 0.04), ('2017-03-01', 1.12), ('2017-03-03', None), ('2017-03-06', None), ('2017-03-07', 0.0), ('2017-03-08', 0.0), ('2017-03-09', 0.5), ('2017-03-10', 0.13), ('2017-03-12', None), ('2017-03-13', 0.0), ('2017-03-14', 0.0), ('2017-03-16', None), ('2017-03-17', 0.06), ('2017-03-18', 0.0), ('2017-03-20', None), ('2017-03-21', 0.0), ('2017-03-22', 0.0), ('2017-03-23', 0.0), ('2017-03-24', 0.15), ('2017-03-27', None), ('2017-03-28', 0.0), ('2017-03-29', 0.03), ('2017-03-30', 0.03), ('2017-03-31', 0.0), ('2017-04-01', 0.0), ('2017-04-02', 0.0), ('2017-04-03', 0.09), ('2017-04-04', 0.0), ('2017-04-05', 0.07), ('2017-04-06', 0.0), ('2017-04-07', 0.0), ('2017-04-09', None), ('2017-04-10', 0.0), ('2017-04-11', 0.16), ('2017-04-12', 0.29), ('2017-04-13', 0.0), ('2017-04-14', 0.29), ('2017-04-17', None), ('2017-04-18', 0.12), ('2017-04-19', 0.0), ('2017-04-20', 0.0), ('2017-04-21', 1.05), ('2017-04-22', 0.7), ('2017-04-24', None), ('2017-04-25', 0.0), ('2017-04-26', 0.14), ('2017-04-27', 0.02), ('2017-04-28', 0.09), ('2017-04-29', 0.95), ('2017-04-30', 1.17), ('2017-05-01', 0.03), ('2017-05-02', 0.01), ('2017-05-03', 0.01), ('2017-05-04', 0.08), ('2017-05-05', 0.28), ('2017-05-06', 0.06), ('2017-05-08', 0.95), ('2017-05-09', 0.52), ('2017-05-10', 0.0), ('2017-05-12', None), ('2017-05-15', None), ('2017-05-16', 0.05), ('2017-05-17', 0.0), ('2017-05-18', 0.16), ('2017-05-19', 0.01), ('2017-05-20', 0.01), ('2017-05-22', None), ('2017-05-23', 0.11), ('2017-05-24', 0.1), ('2017-05-25', 0.07), ('2017-05-26', 0.0), ('2017-05-27', 0.0), ('2017-05-28', 0.02), ('2017-05-29', 0.0), ('2017-05-30', 0.04), ('2017-05-31', 0.0), ('2017-06-01', 0.0), ('2017-06-02', 0.15), ('2017-06-03', 0.16), ('2017-06-04', 0.05), ('2017-06-05', 0.02), ('2017-06-06', 0.0), ('2017-06-07', 0.0), ('2017-06-08', 0.01), ('2017-06-09', 0.0), ('2017-06-10', 0.53), ('2017-06-11', 0.14), ('2017-06-12', 0.35), ('2017-06-13', 0.1), ('2017-06-14', 0.21), ('2017-06-15', 0.3), ('2017-06-16', 0.02), ('2017-06-17', 0.02), ('2017-06-18', 0.18), ('2017-06-19', 0.19), ('2017-06-20', 0.17), ('2017-06-23', None), ('2017-06-26', None), ('2017-06-29', None), ('2017-06-30', 0.0), ('2017-07-03', None), ('2017-07-05', None), ('2017-07-07', None), ('2017-07-08', 0.06), ('2017-07-09', 0.0), ('2017-07-10', 0.0), ('2017-07-11', 0.0), ('2017-07-12', 0.02), ('2017-07-13', 0.3), ('2017-07-14', 0.0), ('2017-07-15', 0.01), ('2017-07-16', 0.12), ('2017-07-17', 0.16), ('2017-07-18', 0.0), ('2017-07-19', 0.09), ('2017-07-20', 0.0), ('2017-07-21', 0.0), ('2017-07-22', 0.12), ('2017-07-23', 0.07), ('2017-07-24', 1.19), ('2017-07-25', 0.12), ('2017-07-26', 0.02), ('2017-07-27', 0.0), ('2017-07-28', 0.14), ('2017-07-29', 0.02), ('2017-07-31', None), ('2017-08-01', 0.12), ('2017-08-02', 0.05), ('2017-08-03', 0.01), ('2017-08-04', 0.04), ('2017-08-06', 0.0), ('2017-08-07', 0.0), ('2017-08-08', 0.1), ('2017-08-09', 0.0), ('2017-08-10', 0.0), ('2017-08-11', 0.0), ('2017-08-13', None), ('2017-08-14', 0.01), ('2017-08-15', 0.0), ('2017-08-16', 0.0), ('2017-08-17', 0.0), ('2017-08-18', 0.0), ('2017-08-19', 0.0), ('2017-08-20', 0.01), ('2017-08-21', 0.02), ('2017-08-23', 0.0), ('2016-08-23', None), ('2016-08-24', None), ('2016-08-25', 0.0), ('2016-08-26', 0.04), ('2016-08-29', None), ('2016-08-30', 0.02), ('2016-08-31', None), ('2016-09-01', None), ('2016-09-02', None), ('2016-09-08', None), ('2016-09-09', None), ('2016-09-12', None), ('2016-09-13', None), ('2016-09-14', None), ('2016-09-15', None), ('2016-09-16', 0.0), ('2016-09-19', None), ('2016-09-20', 0.0), ('2016-09-22', 0.06), ('2016-09-23', 0.0), ('2016-09-26', None), ('2016-09-28', 0.0), ('2016-09-29', 0.04), ('2016-09-30', None), ('2016-10-03', None), ('2016-10-04', None), ('2016-10-05', None), ('2016-10-06', 0.07), ('2016-10-07', None), ('2016-10-11', None), ('2016-10-13', None), ('2016-10-17', None), ('2016-10-18', None), ('2016-10-19', None), ('2016-10-20', None), ('2016-10-21', None), ('2016-10-24', None), ('2016-10-25', 0.4), ('2016-10-26', 0.2), ('2016-10-27', None), ('2016-10-28', None), ('2016-10-31', None), ('2016-11-04', None), ('2016-11-07', None), ('2016-11-09', 0.0), ('2016-11-14', 0.02), ('2016-11-15', None), ('2016-11-16', None), ('2016-11-17', None), ('2016-11-18', None), ('2016-11-21', None), ('2016-11-22', None), ('2016-11-23', None), ('2016-11-28', None), ('2016-11-29', None), ('2016-11-30', None), ('2016-12-01', None), ('2016-12-02', None), ('2016-12-05', None), ('2016-12-06', None), ('2016-12-07', None), ('2016-12-08', 0.27), ('2016-12-09', None), ('2016-12-12', 0.02), ('2016-12-13', None), ('2016-12-14', None), ('2016-12-15', None), ('2016-12-16', None), ('2016-12-19', None), ('2016-12-20', None), ('2016-12-21', 0.06), ('2016-12-22', None), ('2016-12-23', None), ('2016-12-28', None), ('2016-12-29', None), ('2016-12-30', None), ('2017-01-09', None), ('2017-01-10', None), ('2017-01-11', None), ('2017-01-12', None), ('2017-01-13', None), ('2017-01-17', 0.0), ('2017-01-18', 0.0), ('2017-01-19', None), ('2017-01-20', None), ('2017-01-23', None), ('2017-01-24', None), ('2017-01-25', None), ('2017-01-26', 0.0), ('2017-01-27', 0.0), ('2017-01-30', 0.05), ('2017-01-31', 0.0), ('2017-02-01', 0.0), ('2017-02-02', 0.0), ('2017-02-03', 0.0), ('2017-02-06', None), ('2017-02-07', 0.0), ('2017-02-08', 0.0), ('2017-02-09', 0.0), ('2017-02-10', 0.0), ('2017-02-13', None), ('2017-02-14', 0.0), ('2017-02-15', None), ('2017-02-16', None), ('2017-02-17', 0.0), ('2017-02-21', None), ('2017-02-22', 0.17), ('2017-02-23', 0.0), ('2017-02-24', 0.0), ('2017-02-27', None), ('2017-02-28', None), ('2017-03-01', 2.4), ('2017-03-02', 0.44), ('2017-03-03', 0.14), ('2017-03-06', None), ('2017-03-07', None), ('2017-03-08', None), ('2017-03-09', 0.0), ('2017-03-10', 0.0), ('2017-03-13', None), ('2017-03-14', 0.06), ('2017-03-15', 0.0), ('2017-03-16', None), ('2017-03-17', None), ('2017-03-28', None), ('2017-03-29', None), ('2017-03-30', None), ('2017-03-31', 0.0), ('2017-04-03', None), ('2017-04-04', 0.0), ('2017-04-05', 0.0), ('2017-04-06', 0.0), ('2017-04-07', 0.0), ('2017-04-10', None), ('2017-04-11', None), ('2017-04-12', None), ('2017-04-13', None), ('2017-04-17', None), ('2017-04-18', 0.0), ('2017-04-19', None), ('2017-04-20', None), ('2017-04-21', None), ('2017-04-24', None), ('2017-04-25', None), ('2017-04-27', None), ('2017-04-28', None), ('2017-06-02', None), ('2017-06-05', None), ('2017-06-06', None), ('2017-06-07', None), ('2017-06-08', None), ('2017-06-09', None), ('2017-06-13', None), ('2017-06-14', None), ('2017-06-15', None), ('2017-06-16', None), ('2017-06-19', None), ('2017-06-20', None), ('2017-06-21', None), ('2017-06-22', 0.0), ('2017-06-23', 0.0), ('2017-06-26', None), ('2017-06-27', 0.0), ('2017-06-28', 0.0), ('2017-06-29', 0.0), ('2017-06-30', 0.12), ('2017-07-03', None), ('2017-07-05', None), ('2017-07-06', None), ('2017-07-07', None), ('2017-07-10', None), ('2017-07-11', None), ('2017-07-12', None), ('2017-07-13', None), ('2017-07-18', 0.0), ('2017-07-19', 0.0), ('2017-07-20', 0.0), ('2017-07-21', 0.0), ('2017-07-25', 0.0), ('2017-07-26', None), ('2017-07-27', None), ('2017-07-28', 0.01), ('2017-07-31', None), ('2016-08-23', 0.02), ('2016-08-24', 1.22), ('2016-08-25', 0.21), ('2016-08-26', 0.0), ('2016-08-27', 0.0), ('2016-08-28', 0.14), ('2016-08-29', 0.0), ('2016-08-30', 0.0), ('2016-08-31', 0.25), ('2016-09-02', None), ('2016-09-03', 0.08), ('2016-09-04', 0.74), ('2016-09-05', 0.02), ('2016-09-06', 0.03), ('2016-09-07', 0.11), ('2016-09-08', 0.01), ('2016-09-09', 0.23), ('2016-09-10', 0.14), ('2016-09-11', 0.12), ('2016-09-12', 0.15), ('2016-09-13', 0.46), ('2016-09-14', 1.19), ('2016-09-15', 0.17), ('2016-09-16', 0.01), ('2016-09-17', 0.0), ('2016-09-18', 0.04), ('2016-09-19', 0.05), ('2016-09-20', 0.04), ('2016-09-21', 0.0), ('2016-09-22', 0.01), ('2016-09-23', 0.0), ('2016-09-24', 0.0), ('2016-09-25', 0.0), ('2016-09-26', 0.34), ('2016-09-27', 0.05), ('2016-09-28', 0.0), ('2016-09-29', 0.18), ('2016-09-30', 0.15), ('2016-10-01', 0.07), ('2016-10-02', 0.0), ('2016-10-03', 0.0), ('2016-10-04', 0.0), ('2016-10-05', 0.0), ('2016-10-06', 0.0), ('2016-10-07', 0.0), ('2016-10-08', 0.0), ('2016-10-09', 0.0), ('2016-10-10', 0.0), ('2016-10-11', 0.0), ('2016-10-12', 0.0), ('2016-10-13', 0.0), ('2016-10-14', 0.0), ('2016-10-15', 0.0), ('2016-10-16', 0.0), ('2016-10-17', 0.12), ('2016-10-18', 0.02), ('2016-10-19', 0.0), ('2016-10-21', None), ('2016-10-22', 0.0), ('2016-10-23', 0.0), ('2016-10-24', 0.0), ('2016-10-25', 0.12), ('2016-10-26', 0.02), ('2016-10-27', 0.08), ('2016-10-28', 0.06), ('2016-10-29', 0.01), ('2016-10-30', 0.0), ('2016-10-31', 0.13), ('2016-11-01', 0.01), ('2016-11-02', 0.0), ('2016-11-03', 0.0), ('2016-11-04', 0.0), ('2016-11-05', 0.02), ('2016-11-06', 0.0), ('2016-11-07', 0.0), ('2016-11-08', 0.15), ('2016-11-09', 0.0), ('2016-11-10', 0.0), ('2016-11-11', 0.0), ('2016-11-12', 0.0), ('2016-11-13', 0.0), ('2016-11-14', 0.0), ('2016-11-15', 0.0), ('2016-11-16', 0.07), ('2016-11-17', 0.0), ('2016-11-18', 0.02), ('2016-11-19', 0.13), ('2016-11-20', 0.4), ('2016-11-21', 0.07), ('2016-11-22', 0.31), ('2016-11-23', 0.03), ('2016-11-24', 0.21), ('2016-11-25', 0.11), ('2016-11-26', 0.03), ('2016-11-27', 0.0), ('2016-11-28', 0.0), ('2016-11-29', 0.06), ('2016-11-30', 0.0), ('2016-12-01', 0.16), ('2016-12-02', 0.01), ('2016-12-03', 0.02), ('2016-12-04', 0.32), ('2016-12-05', 0.45), ('2016-12-06', 0.0), ('2016-12-07', 0.07), ('2016-12-08', 0.01), ('2016-12-10', None), ('2016-12-11', 0.06), ('2016-12-12', 0.0), ('2016-12-13', 0.15), ('2016-12-14', 0.05), ('2016-12-15', 0.0), ('2016-12-16', 0.0), ('2016-12-17', 0.16), ('2016-12-18', 0.27), ('2016-12-19', 0.02), ('2016-12-20', 0.01), ('2016-12-21', 0.06), ('2016-12-22', 0.14), ('2016-12-23', 0.02), ('2016-12-24', 0.06), ('2016-12-25', 0.0), ('2016-12-26', 0.06), ('2016-12-27', 0.0), ('2016-12-28', 0.06), ('2016-12-29', 0.05), ('2016-12-30', 0.07), ('2017-01-01', None), ('2017-01-03', None), ('2017-01-04', 0.18), ('2017-01-05', 0.42), ('2017-01-06', 0.01), ('2017-01-07', 0.0), ('2017-01-08', 0.0), ('2017-01-09', 0.0), ('2017-01-10', 0.0), ('2017-01-12', None), ('2017-01-15', None), ('2017-01-16', 0.0), ('2017-01-18', None), ('2017-01-19', 0.0), ('2017-01-20', 0.0), ('2017-01-21', 0.11), ('2017-01-22', 0.04), ('2017-01-23', 0.0), ('2017-01-24', 0.08), ('2017-01-25', 0.0), ('2017-01-26', 0.0), ('2017-01-27', 0.0), ('2017-01-29', None), ('2017-01-30', 0.0), ('2017-01-31', 0.0), ('2017-02-01', 0.0), ('2017-02-02', 0.0), ('2017-02-03', 0.0), ('2017-02-04', 0.0), ('2017-02-05', 0.0), ('2017-02-06', 0.0), ('2017-02-07', 1.8), ('2017-02-08', 0.0), ('2017-02-09', 0.0), ('2017-02-10', 0.0), ('2017-02-11', 5.04), ('2017-02-12', 0.07), ('2017-02-13', 0.0), ('2017-02-15', None), ('2017-02-16', 0.67), ('2017-02-17', 0.06), ('2017-02-18', 0.01), ('2017-02-20', None), ('2017-02-22', 0.13), ('2017-02-23', 0.0), ('2017-02-24', 0.0), ('2017-02-26', None), ('2017-02-27', 0.0), ('2017-02-28', 0.0), ('2017-03-01', 0.59), ('2017-03-02', 1.48), ('2017-03-03', 0.25), ('2017-03-04', 0.0), ('2017-03-06', None), ('2017-03-09', None), ('2017-03-10', 0.0), ('2017-03-11', 0.0), ('2017-03-12', 0.0), ('2017-03-13', 0.0), ('2017-03-14', 0.0), ('2017-03-15', 0.0), ('2017-03-16', 0.0), ('2017-03-17', 0.35), ('2017-03-18', 0.0), ('2017-03-19', 0.0), ('2017-03-20', 0.0), ('2017-03-21', 0.0), ('2017-03-22', 0.0), ('2017-03-23', 0.02), ('2017-03-24', 0.07), ('2017-03-25', 0.43), ('2017-03-26', 0.0), ('2017-03-27', 0.0), ('2017-03-28', 0.0), ('2017-03-29', 0.08), ('2017-03-30', 0.0), ('2017-03-31', 0.0), ('2017-04-01', 0.0), ('2017-04-02', 0.0), ('2017-04-03', 0.0), ('2017-04-04', 0.0), ('2017-04-05', 0.0), ('2017-04-06', 0.0), ('2017-04-07', 0.0), ('2017-04-09', None), ('2017-04-10', 0.0), ('2017-04-11', 0.0), ('2017-04-12', 0.0), ('2017-04-13', 0.0), ('2017-04-14', 0.36), ('2017-04-15', 0.0), ('2017-04-16', 0.0), ('2017-04-17', 0.3), ('2017-04-18', 0.15), ('2017-04-19', 0.0), ('2017-04-20', 0.35), ('2017-04-21', 2.36), ('2017-04-24', None), ('2017-04-25', 0.0), ('2017-04-26', 0.01), ('2017-04-27', 0.0), ('2017-04-28', 0.0), ('2017-04-29', 6.25), ('2017-04-30', 1.31), ('2017-05-01', 0.07), ('2017-05-02', 0.0), ('2017-05-03', 0.0), ('2017-05-04', 0.0), ('2017-05-05', 0.0), ('2017-05-06', 0.0), ('2017-05-07', 0.0), ('2017-05-08', 0.0), ('2017-05-09', 0.68), ('2017-05-10', 0.06), ('2017-05-11', 0.0), ('2017-05-12', 0.0), ('2017-05-13', 0.0), ('2017-05-14', 0.0), ('2017-05-15', 0.06), ('2017-05-16', 0.0), ('2017-05-17', 0.0), ('2017-05-18', 0.46), ('2017-05-20', None), ('2017-05-21', 0.0), ('2017-05-22', 0.0), ('2017-05-23', 0.0), ('2017-05-24', 0.61), ('2017-05-25', 0.55), ('2017-05-26', 0.0), ('2017-05-27', 0.0), ('2017-05-28', 0.0), ('2017-05-29', 0.0), ('2017-05-30', 0.11), ('2017-05-31', 0.0), ('2017-06-01', 0.0), ('2017-06-02', 0.0), ('2017-06-03', 0.15), ('2017-06-04', 0.0), ('2017-06-05', 0.0), ('2017-06-06', 0.0), ('2017-06-07', 0.0), ('2017-06-08', 0.0), ('2017-06-09', 0.0), ('2017-06-10', 0.13), ('2017-06-11', 0.25), ('2017-06-12', 0.14), ('2017-06-13', 0.03), ('2017-06-14', 0.06), ('2017-06-15', 0.0), ('2017-06-16', 0.0), ('2017-06-17', 0.0), ('2017-06-18', 0.0), ('2017-06-19', 0.01), ('2017-06-21', None), ('2017-06-22', 0.0), ('2017-06-23', 0.05), ('2017-06-24', 0.0), ('2017-06-25', 0.0), ('2017-06-26', 0.0), ('2017-06-27', 0.0), ('2017-06-28', 0.0), ('2017-06-29', 0.0), ('2017-06-30', 0.07), ('2017-07-02', None), ('2017-07-03', 0.02), ('2017-07-05', None), ('2017-07-06', 0.0), ('2017-07-07', 0.0), ('2017-07-08', 0.0), ('2017-07-09', 0.0), ('2017-07-10', 0.0), ('2017-07-11', 0.0), ('2017-07-12', 0.0), ('2017-07-13', 0.11), ('2017-07-14', 0.0), ('2017-07-15', 0.0), ('2017-07-16', 0.0), ('2017-07-17', 0.0), ('2017-07-18', 0.0), ('2017-07-19', 0.0), ('2017-07-20', 0.33), ('2017-07-21', 0.0), ('2017-07-22', 0.0), ('2017-07-24', None), ('2017-07-25', 0.05), ('2017-07-26', 0.0), ('2017-07-27', 0.0), ('2017-07-28', 0.0), ('2017-07-29', 0.0), ('2017-07-30', 0.0), ('2017-07-31', 0.0), ('2017-08-01', 0.0), ('2017-08-02', 0.0), ('2017-08-03', 0.0), ('2017-08-04', 0.0), ('2017-08-06', 0.0), ('2017-08-07', 0.0), ('2017-08-08', 0.0), ('2017-08-10', 0.0), ('2017-08-11', 0.0), ('2017-08-12', 0.0), ('2017-08-13', 0.0), ('2017-08-14', 0.08), ('2017-08-15', 0.06), ('2017-08-16', 0.07), ('2017-08-17', 0.05), ('2017-08-19', None), ('2017-08-21', None), ('2017-08-22', 0.0), ('2017-08-23', 0.08), ('2016-08-23', 1.79), ('2016-08-24', 2.15), ('2016-08-25', 0.06), ('2016-08-26', 0.01), ('2016-08-27', 0.12), ('2016-08-28', 0.6), ('2016-08-29', 0.35), ('2016-08-30', 0.0), ('2016-08-31', 0.24), ('2016-09-01', 0.02), ('2016-09-02', 0.01), ('2016-09-03', 0.12), ('2016-09-04', 0.14), ('2016-09-05', 0.03), ('2016-09-06', 0.11), ('2016-09-07', 0.16), ('2016-09-08', 0.07), ('2016-09-09', 0.16), ('2016-09-10', 0.09), ('2016-09-11', 0.3), ('2016-09-12', 0.31), ('2016-09-13', 0.34), ('2016-09-14', 2.33), ('2016-09-15', 0.83), ('2016-09-16', 0.06), ('2016-09-17', 0.36), ('2016-09-18', 0.07), ('2016-09-19', 0.01), ('2016-09-20', 0.22), ('2016-09-21', 0.07), ('2016-09-22', 0.34), ('2016-09-23', 0.94), ('2016-09-24', 0.01), ('2016-09-25', 0.03), ('2016-09-26', 0.17), ('2016-09-27', 0.17), ('2016-09-28', 0.0), ('2016-09-29', 0.59), ('2016-09-30', 0.25), ('2016-10-01', 0.14), ('2016-10-02', 0.06), ('2016-10-03', 0.16), ('2016-10-04', 0.03), ('2016-10-05', 0.01), ('2016-10-06', 0.0), ('2016-10-07', 0.0), ('2016-10-08', 0.0), ('2016-10-09', 0.0), ('2016-10-10', 0.0), ('2016-10-11', 0.28), ('2016-10-12', 0.03), ('2016-10-13', 0.0), ('2016-10-14', 0.0), ('2016-10-15', 0.04), ('2016-10-16', 0.0), ('2016-10-17', 0.01), ('2016-10-18', 0.02), ('2016-10-19', 0.11), ('2016-10-20', 0.0), ('2016-10-21', 0.0), ('2016-10-22', 0.15), ('2016-10-23', 0.02), ('2016-10-24', 0.08), ('2016-10-25', 0.11), ('2016-10-26', 0.01), ('2016-10-27', 0.22), ('2016-10-28', 0.05), ('2016-10-29', 0.1), ('2016-10-30', 0.16), ('2016-10-31', 0.07), ('2016-11-01', 0.1), ('2016-11-02', 0.0), ('2016-11-03', 0.0), ('2016-11-04', 0.0), ('2016-11-05', 0.03), ('2016-11-06', 0.01), ('2016-11-07', 0.0), ('2016-11-08', 0.21), ('2016-11-09', 0.11), ('2016-11-10', 0.0), ('2016-11-11', 0.0), ('2016-11-12', 0.0), ('2016-11-13', 0.0), ('2016-11-14', 0.0), ('2016-11-15', 0.0), ('2016-11-16', 0.24), ('2016-11-17', 0.01), ('2016-11-18', 0.0), ('2016-11-19', 0.11), ('2016-11-20', 0.39), ('2016-11-21', 0.11), ('2016-11-22', 2.05), ('2016-11-23', 0.25), ('2016-11-24', 0.3), ('2016-11-25', 0.08), ('2016-11-26', 0.06), ('2016-11-27', 0.17), ('2016-11-28', 0.0), ('2016-11-29', 0.09), ('2016-11-30', 0.05), ('2016-12-01', 0.37), ('2016-12-02', 0.35), ('2016-12-03', 0.77), ('2016-12-04', 0.04), ('2016-12-05', 0.22), ('2016-12-06', 0.0), ('2016-12-07', 0.12), ('2016-12-08', 0.07), ('2016-12-09', 0.31), ('2016-12-10', 0.02), ('2016-12-11', 0.0), ('2016-12-12', 0.0), ('2016-12-13', 0.04), ('2016-12-14', 0.92), ('2016-12-15', 0.14), ('2016-12-16', 0.03), ('2016-12-17', 0.07), ('2016-12-18', 0.16), ('2016-12-19', 0.03), ('2016-12-20', 0.0), ('2016-12-21', 0.11), ('2016-12-22', 0.86), ('2016-12-23', 0.24), ('2016-12-24', 0.2), ('2016-12-25', 0.02), ('2016-12-26', 0.22), ('2016-12-27', 0.05), ('2016-12-28', 0.09), ('2016-12-29', 0.52), ('2016-12-30', 0.29), ('2016-12-31', 0.25), ('2017-01-01', 0.03), ('2017-01-02', 0.01), ('2017-01-03', 0.0), ('2017-01-04', 0.0), ('2017-01-05', 0.06), ('2017-01-06', 0.1), ('2017-01-07', 0.0), ('2017-01-08', 0.0), ('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', 0.01), ('2017-01-15', 0.0), ('2017-01-16', 0.0), ('2017-01-17', 0.0), ('2017-01-18', 0.0), ('2017-01-19', 0.02), ('2017-01-20', 0.0), ('2017-01-21', 0.03), ('2017-01-22', 0.09), ('2017-01-23', 0.01), ('2017-01-24', 0.13), ('2017-01-25', 0.79), ('2017-01-26', 0.0), ('2017-01-27', 0.03), ('2017-01-28', 0.0), ('2017-01-29', 0.26), ('2017-01-30', 0.0), ('2017-01-31', 0.0), ('2017-02-01', 0.0), ('2017-02-02', 0.0), ('2017-02-03', 0.0), ('2017-02-04', 0.0), ('2017-02-05', 0.0), ('2017-02-06', 0.18), ('2017-02-07', 1.32), ('2017-02-08', 0.0), ('2017-02-09', 0.0), ('2017-02-10', 0.0), ('2017-02-11', 1.73), ('2017-02-12', 2.98), ('2017-02-13', 0.01), ('2017-02-14', 0.0), ('2017-02-15', 0.01), ('2017-02-16', 0.73), ('2017-02-17', 0.13), ('2017-02-18', 0.0), ('2017-02-19', 0.09), ('2017-02-20', 0.0), ('2017-02-21', 0.0), ('2017-02-22', 0.06), ('2017-02-23', 0.0), ('2017-02-24', 0.0), ('2017-02-25', 0.0), ('2017-02-26', 0.0), ('2017-02-27', 0.0), ('2017-02-28', 0.04), ('2017-03-01', 2.12), ('2017-03-02', 1.88), ('2017-03-03', 0.27), ('2017-03-04', 0.0), ('2017-03-05', 0.41), ('2017-03-06', 0.03), ('2017-03-07', 0.0), ('2017-03-08', 0.0), ('2017-03-09', 0.65), ('2017-03-10', 0.03), ('2017-03-11', 0.01), ('2017-03-12', 0.0), ('2017-03-13', 0.0), ('2017-03-14', 0.0), ('2017-03-15', 0.06), ('2017-03-16', 0.0), ('2017-03-17', 0.12), ('2017-03-18', 0.0), ('2017-03-19', 0.0), ('2017-03-20', 0.02), ('2017-03-21', 0.09), ('2017-03-22', 0.0), ('2017-03-23', 0.0), ('2017-03-24', 0.12), ('2017-03-25', 0.93), ('2017-03-26', 0.0), ('2017-03-27', 0.01), ('2017-03-28', 0.0), ('2017-03-29', 0.01), ('2017-03-30', 0.04), ('2017-03-31', 0.01), ('2017-04-01', 0.21), ('2017-04-02', 0.0), ('2017-04-03', 0.26), ('2017-04-04', 0.09), ('2017-04-05', 0.1), ('2017-04-06', 0.06), ('2017-04-07', 0.0), ('2017-04-08', 0.0), ('2017-04-09', 0.0), ('2017-04-10', 0.01), ('2017-04-11', 0.03), ('2017-04-12', 0.11), ('2017-04-13', 0.59), ('2017-04-14', 2.3), ('2017-04-15', 0.38), ('2017-04-16', 0.47), ('2017-04-17', 1.04), ('2017-04-18', 2.03), ('2017-04-19', 0.02), ('2017-04-20', 0.05), ('2017-04-21', 1.74), ('2017-04-22', 1.58), ('2017-04-23', 0.06), ('2017-04-24', 0.01), ('2017-04-25', 0.0), ('2017-04-26', 0.02), ('2017-04-27', 0.19), ('2017-04-28', 0.76), ('2017-04-29', 0.37), ('2017-04-30', 1.04), ('2017-05-01', 0.13), ('2017-05-02', 0.01), ('2017-05-03', 0.01), ('2017-05-04', 0.0), ('2017-05-05', 0.0), ('2017-05-06', 0.0), ('2017-05-07', 0.02), ('2017-05-08', 0.73), ('2017-05-09', 1.58), ('2017-05-10', 0.2), ('2017-05-11', 0.12), ('2017-05-12', 0.02), ('2017-05-13', 0.12), ('2017-05-14', 0.17), ('2017-05-15', 0.09), ('2017-05-16', 0.03), ('2017-05-17', 0.07), ('2017-05-18', 0.13), ('2017-05-19', 0.01), ('2017-05-20', 0.02), ('2017-05-21', 0.01), ('2017-05-22', 0.06), ('2017-05-23', 0.06), ('2017-05-24', 0.3), ('2017-05-25', 0.2), ('2017-05-26', 0.0), ('2017-05-27', 0.0), ('2017-05-28', 0.08), ('2017-05-29', 0.4), ('2017-05-30', 1.12), ('2017-05-31', 0.25), ('2017-06-01', 0.0), ('2017-06-02', 0.09), ('2017-06-03', 0.08), ('2017-06-04', 0.13), ('2017-06-05', 0.05), ('2017-06-06', 0.0), ('2017-06-07', 0.0), ('2017-06-08', 0.0), ('2017-06-09', 0.02), ('2017-06-10', 0.62), ('2017-06-11', 0.74), ('2017-06-12', 0.24), ('2017-06-13', 0.24), ('2017-06-14', 0.22), ('2017-06-15', 0.55), ('2017-06-16', 0.06), ('2017-06-17', 0.07), ('2017-06-18', 0.24), ('2017-06-19', 0.08), ('2017-06-20', 0.0), ('2017-06-21', 0.19), ('2017-06-22', 0.06), ('2017-06-23', 0.12), ('2017-06-24', 0.36), ('2017-06-25', 0.02), ('2017-06-26', 0.06), ('2017-06-27', 0.01), ('2017-06-28', 0.0), ('2017-06-29', 0.0), ('2017-06-30', 0.01), ('2017-07-01', 0.08), ('2017-07-02', 0.15), ('2017-07-03', 0.15), ('2017-07-04', 0.08), ('2017-07-05', 0.0), ('2017-07-06', 0.0), ('2017-07-07', 0.18), ('2017-07-08', 0.0), ('2017-07-09', 0.11), ('2017-07-10', 0.02), ('2017-07-11', 0.02), ('2017-07-12', 0.28), ('2017-07-13', 0.32), ('2017-07-14', 0.2), ('2017-07-15', 0.05), ('2017-07-16', 0.1), ('2017-07-17', 0.21), ('2017-07-18', 0.05), ('2017-07-19', 0.05), ('2017-07-20', 0.06), ('2017-07-21', 0.03), ('2017-07-22', 0.2), ('2017-07-23', 0.2), ('2017-07-24', 0.61), ('2017-07-25', 0.11), ('2017-07-26', 0.12), ('2017-07-27', 0.01), ('2017-07-28', 0.09), ('2017-07-29', 0.23), ('2017-07-30', 0.0), ('2017-07-31', 0.0), ('2017-08-04', 0.0), ('2017-08-05', 0.06), ('2017-08-06', 0.0), ('2017-08-13', 0.0), ('2017-08-14', 0.0), ('2017-08-15', 0.32), ('2017-08-16', 0.12), ('2017-08-17', 0.01), ('2017-08-18', 0.06), ('2016-08-23', 0.7), ('2016-08-24', 1.45), ('2016-08-25', 0.11), ('2016-08-27', None), ('2016-08-28', 2.07), ('2016-08-29', 0.9), ('2016-08-30', 0.05), ('2016-08-31', 2.46), ('2016-09-01', 0.01), ('2016-09-02', 0.03), ('2016-09-03', 1.0), ('2016-09-04', 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",
    "#Starting from the last data point in the database. \n",
    "\n",
    "# Calculate the date one year from the last date in data set. We'll be creating a variable called prev_year and using the \n",
    "# datetime dependency that we imported previously. # The datetime dependency has a function called dt.date(), which \n",
    "# specifies the date in the following format: year, month, day.\n",
    "# Add the most recent date, August 23, 2017, with the following code then add o do this, add the dt.timedelta() function \n",
    "# to the previous line of code. This function allows us to trace back a certain number of days. In this case, we want to go\n",
    "# back 365 days. \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",
    "# Start by creating a variable to store the results of the query we'll write. This code defines our new variable. Next, \n",
    "# let's add our session that we created earlier so that we can query our database. For this we'll use the session.query() \n",
    "# function, which is how we'll begin all of our queries in SQLAlchemy. From a bird's-eye view, this is how we query a \n",
    "# SQLite database using Python.\n",
    "# This variable will be called results:\n",
    "results = []\n",
    "\n",
    "# results = session.query(Measurement.date, Measurement.prcp) commented out this code and added below modified code\n",
    "# We still have a few aspects to add to our query, but we'll get to that shortly.\n",
    "\n",
    "# Since we only want to see the most recent data, we need to filter out all of the data that is older than a year from the \n",
    "#last record date. We'll use the filter() function to filter out the data we don't need. Add the filter() function to the \n",
    "# existing query.\n",
    "results = session.query(Measurement.date, Measurement.prcp).filter(Measurement.date >= prev_year).all()\n",
    "\n",
    "# print our results\n",
    "print(results)\n",
    "\n",
    "# print our results\n",
    "# for result in results:\n",
    "#        print(result)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                  date  precipitation\n",
      "date                                 \n",
      "2016-08-23  2016-08-23           0.00\n",
      "2016-08-24  2016-08-24           0.08\n",
      "2016-08-25  2016-08-25           0.08\n",
      "2016-08-26  2016-08-26           0.00\n",
      "2016-08-27  2016-08-27           0.00\n",
      "...                ...            ...\n",
      "2017-08-19  2017-08-19           0.09\n",
      "2017-08-20  2017-08-20            NaN\n",
      "2017-08-21  2017-08-21           0.56\n",
      "2017-08-22  2017-08-22           0.50\n",
      "2017-08-23  2017-08-23           0.45\n",
      "\n",
      "[2230 rows x 2 columns]\n"
     ]
    }
   ],
   "source": [
    "# Save the query results as a Pandas DataFrame and set the index to the date column\n",
    "# We'll start by creating a DataFrame variable, df, which we can use to save our query results.\n",
    "\n",
    "# In order to save our results as a DataFrame, we need to provide our results variable as one parameter and specify the \n",
    "# column names as our second parameter. To do this, we will add the following line to our code:\n",
    "df = pd.DataFrame(results, columns=['date','precipitation'])\n",
    "# set the index to the date column\n",
    "df.set_index(df['date'], inplace=True)\n",
    "\n",
    "# Print the dataframe with the index\n",
    "print(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "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",
      "2017-02-28           0.00\n",
      "2017-03-01           1.19\n",
      "2017-03-02           0.73\n",
      "2017-03-03           0.47\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           0.00\n",
      "2017-03-10           0.00\n",
      "2017-03-11           0.00\n",
      "2017-03-12           0.00\n",
      "2017-03-13           0.00\n",
      "2017-03-14           0.00\n",
      "2017-03-15           0.00\n",
      "2017-03-16           0.00\n",
      "2017-03-17           0.00\n",
      "2017-03-18           0.00\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           0.00\n",
      "2017-03-24           0.02\n",
      "2017-03-25           0.00\n",
      "2017-03-26           0.00\n",
      "2017-03-27           0.00\n",
      "2017-03-28           0.00\n",
      "2017-03-29           0.00\n",
      "2017-03-30           0.00\n",
      "2017-03-31           0.00\n",
      "2017-04-01           0.00\n",
      "2017-04-02           0.00\n",
      "2017-04-03           0.00\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",
      "2017-04-08           0.00\n",
      "2017-04-09           0.00\n",
      "2017-04-10           0.00\n",
      "2017-04-11           0.00\n",
      "2017-04-12           0.00\n",
      "2017-04-13           0.00\n",
      "2017-04-14           0.26\n",
      "2017-04-15           0.01\n",
      "2017-04-16           0.00\n",
      "2017-04-17           0.02\n",
      "2017-04-18           0.00\n",
      "2017-04-19           0.02\n",
      "2017-04-20           0.05\n",
      "2017-04-21           0.23\n",
      "2017-04-22           0.32\n",
      "2017-04-23           0.03\n",
      "2017-04-24           0.00\n",
      "2017-04-25           0.00\n",
      "2017-04-26           0.00\n",
      "2017-04-27           0.00\n",
      "2017-04-28           0.00\n",
      "2017-04-29           0.12\n",
      "2017-04-30           0.89\n",
      "2017-05-01           0.26\n",
      "2017-05-02           0.00\n",
      "2017-05-03           0.00\n",
      "2017-05-04           0.00\n",
      "2017-05-05           0.00\n",
      "2017-05-06           0.00\n",
      "2017-05-07           0.00\n",
      "2017-05-08           0.00\n",
      "2017-05-10           0.00\n",
      "2017-05-11           0.01\n",
      "2017-05-12           0.00\n",
      "2017-05-13           0.00\n",
      "2017-05-14           0.00\n",
      "2017-05-15           0.05\n",
      "2017-05-16           0.01\n",
      "2017-05-17           0.00\n",
      "2017-05-18           0.01\n",
      "2017-05-19           0.00\n",
      "2017-05-20           0.00\n",
      "2017-05-21           0.00\n",
      "2017-05-22           0.00\n",
      "2017-05-23           0.08\n",
      "2017-05-24           0.13\n",
      "2017-05-25           0.15\n",
      "2017-05-27           0.01\n",
      "2017-05-28           0.02\n",
      "2017-05-29           0.00\n",
      "2017-05-30           0.26\n",
      "2017-05-31           0.02\n",
      "2017-06-01           0.00\n",
      "2017-06-02           0.00\n",
      "2017-06-03           0.02\n",
      "2017-06-04           0.00\n",
      "2017-06-05           0.00\n",
      "2017-06-06           0.00\n",
      "2017-06-07           0.00\n",
      "2017-06-08           0.00\n",
      "2017-06-09           0.00\n",
      "2017-06-10           0.04\n",
      "2017-06-11           0.08\n",
      "2017-06-12           0.02\n",
      "2017-06-13           0.00\n",
      "2017-06-14           0.00\n",
      "2017-06-15           0.00\n",
      "2017-06-16           0.00\n",
      "2017-06-17           0.00\n",
      "2017-06-18           0.05\n",
      "2017-06-19           0.00\n",
      "2017-06-20           0.02\n",
      "2017-06-21           0.00\n",
      "2017-06-22           0.00\n",
      "2017-06-23           0.00\n",
      "2017-06-24           0.06\n",
      "2017-06-25           0.00\n",
      "2017-06-26           0.00\n",
      "2017-06-27           0.00\n",
      "2017-06-28           0.00\n",
      "2017-06-29           0.00\n",
      "2017-06-30           0.08\n",
      "2017-07-01           0.02\n",
      "2017-07-02           0.02\n",
      "2017-07-03           0.04\n",
      "2017-07-04           0.04\n",
      "2017-07-05           0.00\n",
      "2017-07-06           0.00\n",
      "2017-07-07           0.00\n",
      "2017-07-08           0.00\n",
      "2017-07-09           0.00\n",
      "2017-07-10           0.00\n",
      "2017-07-11           0.00\n",
      "2017-07-12           0.00\n",
      "2017-07-13           0.07\n",
      "2017-07-14           0.02\n",
      "2017-07-15           0.00\n",
      "2017-07-16           0.02\n",
      "2017-07-17           0.03\n",
      "2017-07-18           0.05\n",
      "2017-07-20           0.03\n",
      "2017-07-21           0.00\n",
      "2017-07-22           0.03\n",
      "2017-07-23           0.00\n",
      "2017-07-24           0.05\n",
      "2017-07-25           0.00\n",
      "2017-07-26           0.00\n",
      "2017-07-27           0.00\n",
      "2017-07-28           0.00\n",
      "2017-07-29           0.00\n",
      "2017-07-30           0.00\n",
      "2017-07-31           0.00\n",
      "2017-08-01           0.02\n",
      "2017-08-02           0.00\n",
      "2017-08-03           0.00\n",
      "2017-08-04           0.02\n",
      "2017-08-05           0.00\n",
      "2017-08-06           0.00\n",
      "2017-08-07           0.00\n",
      "2017-08-08           0.00\n",
      "2017-08-09           0.00\n",
      "2017-08-10           0.00\n",
      "2017-08-11           0.00\n",
      "2017-08-12           0.00\n",
      "2017-08-13           0.00\n",
      "2017-08-14           0.00\n",
      "2017-08-15           0.02\n",
      "2017-08-18           0.00\n",
      "2017-08-19           0.00\n",
      "2017-08-20           0.00\n",
      "2017-08-21           0.00\n",
      "2017-08-22           0.00\n",
      "2017-08-23           0.00\n",
      "2016-08-23           0.15\n",
      "2016-08-24           2.15\n",
      "2016-08-25           0.08\n",
      "2016-08-26           0.03\n",
      "2016-08-27           0.18\n",
      "2016-08-28           0.14\n",
      "2016-08-29           0.17\n",
      "2016-08-30           0.00\n",
      "2016-08-31           0.10\n",
      "2016-09-01           0.00\n",
      "2016-09-02           0.02\n",
      "2016-09-03           0.07\n",
      "2016-09-04           0.03\n",
      "2016-09-05           0.11\n",
      "2016-09-06           0.05\n",
      "2016-09-07           0.10\n",
      "2016-09-08           0.22\n",
      "2016-09-09           0.01\n",
      "2016-09-10           0.01\n",
      "2016-09-11           0.18\n",
      "2016-09-12           0.04\n",
      "2016-09-13           0.37\n",
      "2016-09-14           0.90\n",
      "2016-09-15           0.12\n",
      "2016-09-16           0.01\n",
      "2016-09-17           0.04\n",
      "2016-09-18           0.00\n",
      "2016-09-19           0.01\n",
      "2016-09-20           0.09\n",
      "2016-09-21           0.06\n",
      "2016-09-22           0.09\n",
      "2016-09-23           0.15\n",
      "2016-09-24           0.00\n",
      "2016-09-25           0.02\n",
      "2016-09-26           0.06\n",
      "2016-09-27           0.12\n",
      "2016-09-28           0.08\n",
      "2016-09-29           0.49\n",
      "2016-09-30           0.31\n",
      "2016-10-01           0.14\n",
      "2016-10-02           0.02\n",
      "2016-10-03           0.04\n",
      "2016-10-04           0.00\n",
      "2016-10-05           0.00\n",
      "2016-10-06           0.05\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           0.02\n",
      "2016-10-12           0.03\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           0.03\n",
      "2016-10-18           0.05\n",
      "2016-10-19           0.06\n",
      "2016-10-20           0.00\n",
      "2016-10-21           0.15\n",
      "2016-10-22           0.10\n",
      "2016-10-23           0.01\n",
      "2016-10-24           0.00\n",
      "2016-10-25           0.04\n",
      "2016-10-26           0.06\n",
      "2016-10-27           0.11\n",
      "2016-10-28           0.02\n",
      "2016-10-29           0.02\n",
      "2016-10-30           0.10\n",
      "2016-10-31           0.03\n",
      "2016-11-01           0.01\n",
      "2016-11-02           0.00\n",
      "2016-11-03           0.00\n",
      "2016-11-04           0.00\n",
      "2016-11-05           0.02\n",
      "2016-11-06           0.02\n",
      "2016-11-07           0.00\n",
      "2016-11-08           0.14\n",
      "2016-11-09           0.08\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           0.06\n",
      "2016-11-15           0.00\n",
      "2016-11-16           0.14\n",
      "2016-11-17           0.03\n",
      "2016-11-18           0.01\n",
      "2016-11-19           0.11\n",
      "2016-11-20           0.11\n",
      "2016-11-21           0.02\n",
      "2016-11-22           0.41\n",
      "2016-11-23           0.03\n",
      "2016-11-24           0.20\n",
      "2016-11-25           0.05\n",
      "2016-11-26           0.05\n",
      "2016-11-27           0.06\n",
      "2016-11-28           0.02\n",
      "2016-11-29           0.04\n",
      "2016-11-30           0.05\n",
      "2016-12-01           0.33\n",
      "2016-12-02           0.30\n",
      "2016-12-03           0.04\n",
      "2016-12-04           0.10\n",
      "2016-12-05           0.34\n",
      "2016-12-06           0.02\n",
      "2016-12-07           0.17\n",
      "2016-12-08           0.03\n",
      "2016-12-09           0.34\n",
      "2016-12-10           0.02\n",
      "2016-12-11           0.02\n",
      "2016-12-12           0.01\n",
      "2016-12-13           0.10\n",
      "2016-12-14           0.05\n",
      "2016-12-15           0.02\n",
      "2016-12-16           0.01\n",
      "2016-12-17           0.11\n",
      "2016-12-18           0.29\n",
      "2016-12-19           0.21\n",
      "2016-12-20           0.02\n",
      "2016-12-21           0.03\n",
      "2016-12-22           0.17\n",
      "2016-12-23           0.10\n",
      "2016-12-24           0.14\n",
      "2016-12-25           0.03\n",
      "2016-12-26           0.26\n",
      "2016-12-27           0.03\n",
      "2016-12-28           0.09\n",
      "2016-12-29           0.18\n",
      "2016-12-30           0.21\n",
      "2016-12-31           0.62\n",
      "2017-01-01           0.29\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           0.06\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           0.04\n",
      "2017-01-22           0.01\n",
      "2017-01-23           0.08\n",
      "2017-01-24           0.15\n",
      "2017-01-25           0.12\n",
      "2017-01-26           0.00\n",
      "2017-01-27           0.00\n",
      "2017-01-28           0.14\n",
      "2017-01-29           0.00\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           0.16\n",
      "2017-02-07           1.08\n",
      "2017-02-08           1.08\n",
      "2017-02-09           0.02\n",
      "2017-02-10           0.00\n",
      "2017-02-11           1.00\n",
      "2017-02-12           1.07\n",
      "2017-02-13           2.90\n",
      "2017-02-14           0.00\n",
      "2017-02-15           0.00\n",
      "2017-02-16           0.00\n",
      "2017-02-17           0.80\n",
      "2017-02-18           0.00\n",
      "2017-02-19           0.00\n",
      "2017-02-20           0.00\n",
      "2017-02-21           0.00\n",
      "2017-02-22           0.06\n",
      "2017-02-23           0.00\n",
      "2017-02-24           0.00\n",
      "2017-02-25           0.00\n",
      "2017-02-26           0.00\n",
      "2017-02-27           0.00\n",
      "2017-02-28           0.16\n",
      "2017-03-01           2.20\n",
      "2017-03-02           1.45\n",
      "2017-03-03           0.54\n",
      "2017-03-04           0.00\n",
      "2017-03-05           0.10\n",
      "2017-03-06           0.51\n",
      "2017-03-07           0.00\n",
      "2017-03-08           0.00\n",
      "2017-03-09           0.80\n",
      "2017-03-10           0.13\n",
      "2017-03-11           0.03\n",
      "2017-03-12           0.00\n",
      "2017-03-13           0.00\n",
      "2017-03-14           0.00\n",
      "2017-03-15           0.00\n",
      "2017-03-16           0.00\n",
      "2017-03-17           0.19\n",
      "2017-03-18           0.00\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           0.00\n",
      "2017-03-24           0.60\n",
      "2017-03-25           0.13\n",
      "2017-03-26           0.00\n",
      "2017-03-27           0.00\n",
      "2017-03-28           0.03\n",
      "2017-03-29           0.00\n",
      "2017-03-30           0.08\n",
      "2017-03-31           0.00\n",
      "2017-04-01           0.00\n",
      "2017-04-02           0.00\n",
      "2017-04-03           0.08\n",
      "2017-04-04           0.04\n",
      "2017-04-05           0.04\n",
      "2017-04-06           0.00\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           0.03\n",
      "2017-04-13           0.27\n",
      "2017-04-14           0.69\n",
      "2017-04-15           0.45\n",
      "2017-04-16           0.49\n",
      "2017-04-17           0.41\n",
      "2017-04-18           0.08\n",
      "2017-04-19           0.02\n",
      "2017-04-20           0.33\n",
      "2017-04-21           1.16\n",
      "2017-04-22           1.01\n",
      "2017-04-23           0.02\n",
      "2017-04-24           0.00\n",
      "2017-04-25           0.00\n",
      "2017-04-26           0.00\n",
      "2017-04-27           0.10\n",
      "2017-04-28           2.60\n",
      "2017-04-29           0.35\n",
      "2017-04-30           1.21\n",
      "2017-05-01           0.07\n",
      "2017-05-02           0.03\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           0.07\n",
      "2017-05-08           0.22\n",
      "2017-05-09           1.62\n",
      "2017-05-10           0.05\n",
      "2017-05-11           0.03\n",
      "2017-05-12           0.04\n",
      "2017-05-13           0.02\n",
      "2017-05-14           0.05\n",
      "2017-05-15           0.08\n",
      "2017-05-16           0.03\n",
      "2017-05-17           0.02\n",
      "2017-05-18           0.09\n",
      "2017-05-19           0.02\n",
      "2017-05-20           0.00\n",
      "2017-05-21           0.00\n",
      "2017-05-22           0.00\n",
      "2017-05-23           0.02\n",
      "2017-05-24           0.58\n",
      "2017-05-25           0.37\n",
      "2017-05-26           0.02\n",
      "2017-05-27           0.00\n",
      "2017-05-28           0.29\n",
      "2017-05-29           0.02\n",
      "2017-05-30           0.20\n",
      "2017-05-31           0.10\n",
      "2017-06-01           0.03\n",
      "2017-06-02           0.10\n",
      "2017-06-03           0.20\n",
      "2017-06-04           0.15\n",
      "2017-06-05           0.00\n",
      "2017-06-06           0.00\n",
      "2017-06-07           0.00\n",
      "2017-06-08           0.02\n",
      "2017-06-09           0.02\n",
      "2017-06-10           0.21\n",
      "2017-06-11           0.24\n",
      "2017-06-12           0.19\n",
      "2017-06-13           0.36\n",
      "2017-06-14           0.27\n",
      "2017-06-15           0.17\n",
      "2017-06-16           0.02\n",
      "2017-06-17           0.35\n",
      "2017-06-18           0.25\n",
      "2017-06-19           0.05\n",
      "2017-06-20           0.05\n",
      "2017-06-21           0.02\n",
      "2017-06-22           0.10\n",
      "2017-06-23           0.00\n",
      "2017-06-24           0.00\n",
      "2017-06-25           0.08\n",
      "2017-06-26           0.02\n",
      "2017-06-27           0.00\n",
      "2017-06-28           0.01\n",
      "2017-06-29           0.03\n",
      "2017-06-30           0.04\n",
      "2017-07-01           0.06\n",
      "2017-07-02           0.05\n",
      "2017-07-03           0.13\n",
      "2017-07-04           0.03\n",
      "2017-07-05           0.00\n",
      "2017-07-06           0.00\n",
      "2017-07-07           0.02\n",
      "2017-07-08           0.02\n",
      "2017-07-09           0.09\n",
      "2017-07-10           0.00\n",
      "2017-07-11           0.01\n",
      "2017-07-12           0.01\n",
      "2017-07-13           0.33\n",
      "2017-07-14           0.05\n",
      "2017-07-15           0.03\n",
      "2017-07-16           0.07\n",
      "2017-07-17           0.12\n",
      "2017-07-18           0.03\n",
      "2017-07-19           0.00\n",
      "2017-07-20           0.12\n",
      "2017-07-21           0.00\n",
      "2017-07-22           0.07\n",
      "2017-07-23           0.06\n",
      "2017-07-24           0.58\n",
      "2017-07-25           0.03\n",
      "2017-07-26           0.06\n",
      "2017-07-27           0.00\n",
      "2017-07-28           0.13\n",
      "2017-07-29           0.06\n",
      "2017-07-30           0.00\n",
      "2017-07-31           0.00\n",
      "2016-08-23           0.05\n",
      "2016-08-24           2.28\n",
      "2016-08-25           0.00\n",
      "2016-08-26           0.02\n",
      "2016-08-27           0.02\n",
      "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",
      "2016-09-06           0.04\n",
      "2016-09-07           0.23\n",
      "2016-09-08           0.01\n",
      "2016-09-09           0.29\n",
      "2016-09-12            NaN\n",
      "2016-09-13           0.32\n",
      "2016-09-14           1.84\n",
      "2016-09-15           0.07\n",
      "2016-09-16           0.07\n",
      "2016-09-19            NaN\n",
      "2016-09-20           0.25\n",
      "2016-09-21           0.02\n",
      "2016-09-22           0.17\n",
      "2016-09-23           0.15\n",
      "2016-09-24           0.00\n",
      "2016-09-25           0.00\n",
      "2016-09-26           0.02\n",
      "2016-09-27           0.00\n",
      "2016-09-28           0.00\n",
      "2016-09-29           0.20\n",
      "2016-09-30           0.06\n",
      "2016-10-01           0.08\n",
      "2016-10-02           0.03\n",
      "2016-10-03           0.03\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",
      "2016-10-10            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",
      "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           0.13\n",
      "2016-11-08           0.02\n",
      "2016-11-09           0.17\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           0.05\n",
      "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",
      "2016-12-18           0.04\n",
      "2016-12-19           0.00\n",
      "2016-12-20           0.00\n",
      "2016-12-21           0.09\n",
      "2016-12-22           0.05\n",
      "2016-12-23           0.03\n",
      "2016-12-24           0.13\n",
      "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",
      "2017-01-03           0.00\n",
      "2017-01-04           0.00\n",
      "2017-01-05           0.00\n",
      "2017-01-06           0.59\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",
      "2017-01-13            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",
      "2017-02-13           0.00\n",
      "2017-02-14           0.00\n",
      "2017-02-15           0.00\n",
      "2017-02-16           0.62\n",
      "2017-02-17           0.06\n",
      "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",
      "2017-04-03           0.09\n",
      "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",
      "2017-07-14           0.00\n",
      "2017-07-15           0.01\n",
      "2017-07-16           0.12\n",
      "2017-07-17           0.16\n",
      "2017-07-18           0.00\n",
      "2017-07-19           0.09\n",
      "2017-07-20           0.00\n",
      "2017-07-21           0.00\n",
      "2017-07-22           0.12\n",
      "2017-07-23           0.07\n",
      "2017-07-24           1.19\n",
      "2017-07-25           0.12\n",
      "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",
      "2017-08-04           0.04\n",
      "2017-08-06           0.00\n",
      "2017-08-07           0.00\n",
      "2017-08-08           0.10\n",
      "2017-08-09           0.00\n",
      "2017-08-10           0.00\n",
      "2017-08-11           0.00\n",
      "2017-08-13            NaN\n",
      "2017-08-14           0.01\n",
      "2017-08-15           0.00\n",
      "2017-08-16           0.00\n",
      "2017-08-17           0.00\n",
      "2017-08-18           0.00\n",
      "2017-08-19           0.00\n",
      "2017-08-20           0.01\n",
      "2017-08-21           0.02\n",
      "2017-08-23           0.00\n",
      "2016-08-23            NaN\n",
      "2016-08-24            NaN\n",
      "2016-08-25           0.00\n",
      "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",
      "2017-02-02           0.00\n",
      "2017-02-03           0.00\n",
      "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",
      "2017-03-29            NaN\n",
      "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",
      "2017-07-05            NaN\n",
      "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",
      "2016-09-05           0.02\n",
      "2016-09-06           0.03\n",
      "2016-09-07           0.11\n",
      "2016-09-08           0.01\n",
      "2016-09-09           0.23\n",
      "2016-09-10           0.14\n",
      "2016-09-11           0.12\n",
      "2016-09-12           0.15\n",
      "2016-09-13           0.46\n",
      "2016-09-14           1.19\n",
      "2016-09-15           0.17\n",
      "2016-09-16           0.01\n",
      "2016-09-17           0.00\n",
      "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",
      "2016-09-29           0.18\n",
      "2016-09-30           0.15\n",
      "2016-10-01           0.07\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           0.12\n",
      "2016-10-18           0.02\n",
      "2016-10-19           0.00\n",
      "2016-10-21            NaN\n",
      "2016-10-22           0.00\n",
      "2016-10-23           0.00\n",
      "2016-10-24           0.00\n",
      "2016-10-25           0.12\n",
      "2016-10-26           0.02\n",
      "2016-10-27           0.08\n",
      "2016-10-28           0.06\n",
      "2016-10-29           0.01\n",
      "2016-10-30           0.00\n",
      "2016-10-31           0.13\n",
      "2016-11-01           0.01\n",
      "2016-11-02           0.00\n",
      "2016-11-03           0.00\n",
      "2016-11-04           0.00\n",
      "2016-11-05           0.02\n",
      "2016-11-06           0.00\n",
      "2016-11-07           0.00\n",
      "2016-11-08           0.15\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           0.07\n",
      "2016-11-17           0.00\n",
      "2016-11-18           0.02\n",
      "2016-11-19           0.13\n",
      "2016-11-20           0.40\n",
      "2016-11-21           0.07\n",
      "2016-11-22           0.31\n",
      "2016-11-23           0.03\n",
      "2016-11-24           0.21\n",
      "2016-11-25           0.11\n",
      "2016-11-26           0.03\n",
      "2016-11-27           0.00\n",
      "2016-11-28           0.00\n",
      "2016-11-29           0.06\n",
      "2016-11-30           0.00\n",
      "2016-12-01           0.16\n",
      "2016-12-02           0.01\n",
      "2016-12-03           0.02\n",
      "2016-12-04           0.32\n",
      "2016-12-05           0.45\n",
      "2016-12-06           0.00\n",
      "2016-12-07           0.07\n",
      "2016-12-08           0.01\n",
      "2016-12-10            NaN\n",
      "2016-12-11           0.06\n",
      "2016-12-12           0.00\n",
      "2016-12-13           0.15\n",
      "2016-12-14           0.05\n",
      "2016-12-15           0.00\n",
      "2016-12-16           0.00\n",
      "2016-12-17           0.16\n",
      "2016-12-18           0.27\n",
      "2016-12-19           0.02\n",
      "2016-12-20           0.01\n",
      "2016-12-21           0.06\n",
      "2016-12-22           0.14\n",
      "2016-12-23           0.02\n",
      "2016-12-24           0.06\n",
      "2016-12-25           0.00\n",
      "2016-12-26           0.06\n",
      "2016-12-27           0.00\n",
      "2016-12-28           0.06\n",
      "2016-12-29           0.05\n",
      "2016-12-30           0.07\n",
      "2017-01-01            NaN\n",
      "2017-01-03            NaN\n",
      "2017-01-04           0.18\n",
      "2017-01-05           0.42\n",
      "2017-01-06           0.01\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",
      "2017-01-12            NaN\n",
      "2017-01-15            NaN\n",
      "2017-01-16           0.00\n",
      "2017-01-18            NaN\n",
      "2017-01-19           0.00\n",
      "2017-01-20           0.00\n",
      "2017-01-21           0.11\n",
      "2017-01-22           0.04\n",
      "2017-01-23           0.00\n",
      "2017-01-24           0.08\n",
      "2017-01-25           0.00\n",
      "2017-01-26           0.00\n",
      "2017-01-27           0.00\n",
      "2017-01-29            NaN\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           1.80\n",
      "2017-02-08           0.00\n",
      "2017-02-09           0.00\n",
      "2017-02-10           0.00\n",
      "2017-02-11           5.04\n",
      "2017-02-12           0.07\n",
      "2017-02-13           0.00\n",
      "2017-02-15            NaN\n",
      "2017-02-16           0.67\n",
      "2017-02-17           0.06\n",
      "2017-02-18           0.01\n",
      "2017-02-20            NaN\n",
      "2017-02-22           0.13\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           0.00\n",
      "2017-03-01           0.59\n",
      "2017-03-02           1.48\n",
      "2017-03-03           0.25\n",
      "2017-03-04           0.00\n",
      "2017-03-06            NaN\n",
      "2017-03-09            NaN\n",
      "2017-03-10           0.00\n",
      "2017-03-11           0.00\n",
      "2017-03-12           0.00\n",
      "2017-03-13           0.00\n",
      "2017-03-14           0.00\n",
      "2017-03-15           0.00\n",
      "2017-03-16           0.00\n",
      "2017-03-17           0.35\n",
      "2017-03-18           0.00\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           0.02\n",
      "2017-03-24           0.07\n",
      "2017-03-25           0.43\n",
      "2017-03-26           0.00\n",
      "2017-03-27           0.00\n",
      "2017-03-28           0.00\n",
      "2017-03-29           0.08\n",
      "2017-03-30           0.00\n",
      "2017-03-31           0.00\n",
      "2017-04-01           0.00\n",
      "2017-04-02           0.00\n",
      "2017-04-03           0.00\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",
      "2017-04-09            NaN\n",
      "2017-04-10           0.00\n",
      "2017-04-11           0.00\n",
      "2017-04-12           0.00\n",
      "2017-04-13           0.00\n",
      "2017-04-14           0.36\n",
      "2017-04-15           0.00\n",
      "2017-04-16           0.00\n",
      "2017-04-17           0.30\n",
      "2017-04-18           0.15\n",
      "2017-04-19           0.00\n",
      "2017-04-20           0.35\n",
      "2017-04-21           2.36\n",
      "2017-04-24            NaN\n",
      "2017-04-25           0.00\n",
      "2017-04-26           0.01\n",
      "2017-04-27           0.00\n",
      "2017-04-28           0.00\n",
      "2017-04-29           6.25\n",
      "2017-04-30           1.31\n",
      "2017-05-01           0.07\n",
      "2017-05-02           0.00\n",
      "2017-05-03           0.00\n",
      "2017-05-04           0.00\n",
      "2017-05-05           0.00\n",
      "2017-05-06           0.00\n",
      "2017-05-07           0.00\n",
      "2017-05-08           0.00\n",
      "2017-05-09           0.68\n",
      "2017-05-10           0.06\n",
      "2017-05-11           0.00\n",
      "2017-05-12           0.00\n",
      "2017-05-13           0.00\n",
      "2017-05-14           0.00\n",
      "2017-05-15           0.06\n",
      "2017-05-16           0.00\n",
      "2017-05-17           0.00\n",
      "2017-05-18           0.46\n",
      "2017-05-20            NaN\n",
      "2017-05-21           0.00\n",
      "2017-05-22           0.00\n",
      "2017-05-23           0.00\n",
      "2017-05-24           0.61\n",
      "2017-05-25           0.55\n",
      "2017-05-26           0.00\n",
      "2017-05-27           0.00\n",
      "2017-05-28           0.00\n",
      "2017-05-29           0.00\n",
      "2017-05-30           0.11\n",
      "2017-05-31           0.00\n",
      "2017-06-01           0.00\n",
      "2017-06-02           0.00\n",
      "2017-06-03           0.15\n",
      "2017-06-04           0.00\n",
      "2017-06-05           0.00\n",
      "2017-06-06           0.00\n",
      "2017-06-07           0.00\n",
      "2017-06-08           0.00\n",
      "2017-06-09           0.00\n",
      "2017-06-10           0.13\n",
      "2017-06-11           0.25\n",
      "2017-06-12           0.14\n",
      "2017-06-13           0.03\n",
      "2017-06-14           0.06\n",
      "2017-06-15           0.00\n",
      "2017-06-16           0.00\n",
      "2017-06-17           0.00\n",
      "2017-06-18           0.00\n",
      "2017-06-19           0.01\n",
      "2017-06-21            NaN\n",
      "2017-06-22           0.00\n",
      "2017-06-23           0.05\n",
      "2017-06-24           0.00\n",
      "2017-06-25           0.00\n",
      "2017-06-26           0.00\n",
      "2017-06-27           0.00\n",
      "2017-06-28           0.00\n",
      "2017-06-29           0.00\n",
      "2017-06-30           0.07\n",
      "2017-07-02            NaN\n",
      "2017-07-03           0.02\n",
      "2017-07-05            NaN\n",
      "2017-07-06           0.00\n",
      "2017-07-07           0.00\n",
      "2017-07-08           0.00\n",
      "2017-07-09           0.00\n",
      "2017-07-10           0.00\n",
      "2017-07-11           0.00\n",
      "2017-07-12           0.00\n",
      "2017-07-13           0.11\n",
      "2017-07-14           0.00\n",
      "2017-07-15           0.00\n",
      "2017-07-16           0.00\n",
      "2017-07-17           0.00\n",
      "2017-07-18           0.00\n",
      "2017-07-19           0.00\n",
      "2017-07-20           0.33\n",
      "2017-07-21           0.00\n",
      "2017-07-22           0.00\n",
      "2017-07-24            NaN\n",
      "2017-07-25           0.05\n",
      "2017-07-26           0.00\n",
      "2017-07-27           0.00\n",
      "2017-07-28           0.00\n",
      "2017-07-29           0.00\n",
      "2017-07-30           0.00\n",
      "2017-07-31           0.00\n",
      "2017-08-01           0.00\n",
      "2017-08-02           0.00\n",
      "2017-08-03           0.00\n",
      "2017-08-04           0.00\n",
      "2017-08-06           0.00\n",
      "2017-08-07           0.00\n",
      "2017-08-08           0.00\n",
      "2017-08-10           0.00\n",
      "2017-08-11           0.00\n",
      "2017-08-12           0.00\n",
      "2017-08-13           0.00\n",
      "2017-08-14           0.08\n",
      "2017-08-15           0.06\n",
      "2017-08-16           0.07\n",
      "2017-08-17           0.05\n",
      "2017-08-19            NaN\n",
      "2017-08-21            NaN\n",
      "2017-08-22           0.00\n",
      "2017-08-23           0.08\n",
      "2016-08-23           1.79\n",
      "2016-08-24           2.15\n",
      "2016-08-25           0.06\n",
      "2016-08-26           0.01\n",
      "2016-08-27           0.12\n",
      "2016-08-28           0.60\n",
      "2016-08-29           0.35\n",
      "2016-08-30           0.00\n",
      "2016-08-31           0.24\n",
      "2016-09-01           0.02\n",
      "2016-09-02           0.01\n",
      "2016-09-03           0.12\n",
      "2016-09-04           0.14\n",
      "2016-09-05           0.03\n",
      "2016-09-06           0.11\n",
      "2016-09-07           0.16\n",
      "2016-09-08           0.07\n",
      "2016-09-09           0.16\n",
      "2016-09-10           0.09\n",
      "2016-09-11           0.30\n",
      "2016-09-12           0.31\n",
      "2016-09-13           0.34\n",
      "2016-09-14           2.33\n",
      "2016-09-15           0.83\n",
      "2016-09-16           0.06\n",
      "2016-09-17           0.36\n",
      "2016-09-18           0.07\n",
      "2016-09-19           0.01\n",
      "2016-09-20           0.22\n",
      "2016-09-21           0.07\n",
      "2016-09-22           0.34\n",
      "2016-09-23           0.94\n",
      "2016-09-24           0.01\n",
      "2016-09-25           0.03\n",
      "2016-09-26           0.17\n",
      "2016-09-27           0.17\n",
      "2016-09-28           0.00\n",
      "2016-09-29           0.59\n",
      "2016-09-30           0.25\n",
      "2016-10-01           0.14\n",
      "2016-10-02           0.06\n",
      "2016-10-03           0.16\n",
      "2016-10-04           0.03\n",
      "2016-10-05           0.01\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           0.28\n",
      "2016-10-12           0.03\n",
      "2016-10-13           0.00\n",
      "2016-10-14           0.00\n",
      "2016-10-15           0.04\n",
      "2016-10-16           0.00\n",
      "2016-10-17           0.01\n",
      "2016-10-18           0.02\n",
      "2016-10-19           0.11\n",
      "2016-10-20           0.00\n",
      "2016-10-21           0.00\n",
      "2016-10-22           0.15\n",
      "2016-10-23           0.02\n",
      "2016-10-24           0.08\n",
      "2016-10-25           0.11\n",
      "2016-10-26           0.01\n",
      "2016-10-27           0.22\n",
      "2016-10-28           0.05\n",
      "2016-10-29           0.10\n",
      "2016-10-30           0.16\n",
      "2016-10-31           0.07\n",
      "2016-11-01           0.10\n",
      "2016-11-02           0.00\n",
      "2016-11-03           0.00\n",
      "2016-11-04           0.00\n",
      "2016-11-05           0.03\n",
      "2016-11-06           0.01\n",
      "2016-11-07           0.00\n",
      "2016-11-08           0.21\n",
      "2016-11-09           0.11\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           0.24\n",
      "2016-11-17           0.01\n",
      "2016-11-18           0.00\n",
      "2016-11-19           0.11\n",
      "2016-11-20           0.39\n",
      "2016-11-21           0.11\n",
      "2016-11-22           2.05\n",
      "2016-11-23           0.25\n",
      "2016-11-24           0.30\n",
      "2016-11-25           0.08\n",
      "2016-11-26           0.06\n",
      "2016-11-27           0.17\n",
      "2016-11-28           0.00\n",
      "2016-11-29           0.09\n",
      "2016-11-30           0.05\n",
      "2016-12-01           0.37\n",
      "2016-12-02           0.35\n",
      "2016-12-03           0.77\n",
      "2016-12-04           0.04\n",
      "2016-12-05           0.22\n",
      "2016-12-06           0.00\n",
      "2016-12-07           0.12\n",
      "2016-12-08           0.07\n",
      "2016-12-09           0.31\n",
      "2016-12-10           0.02\n",
      "2016-12-11           0.00\n",
      "2016-12-12           0.00\n",
      "2016-12-13           0.04\n",
      "2016-12-14           0.92\n",
      "2016-12-15           0.14\n",
      "2016-12-16           0.03\n",
      "2016-12-17           0.07\n",
      "2016-12-18           0.16\n",
      "2016-12-19           0.03\n",
      "2016-12-20           0.00\n",
      "2016-12-21           0.11\n",
      "2016-12-22           0.86\n",
      "2016-12-23           0.24\n",
      "2016-12-24           0.20\n",
      "2016-12-25           0.02\n",
      "2016-12-26           0.22\n",
      "2016-12-27           0.05\n",
      "2016-12-28           0.09\n",
      "2016-12-29           0.52\n",
      "2016-12-30           0.29\n",
      "2016-12-31           0.25\n",
      "2017-01-01           0.03\n",
      "2017-01-02           0.01\n",
      "2017-01-03           0.00\n",
      "2017-01-04           0.00\n",
      "2017-01-05           0.06\n",
      "2017-01-06           0.10\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           0.01\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           0.02\n",
      "2017-01-20           0.00\n",
      "2017-01-21           0.03\n",
      "2017-01-22           0.09\n",
      "2017-01-23           0.01\n",
      "2017-01-24           0.13\n",
      "2017-01-25           0.79\n",
      "2017-01-26           0.00\n",
      "2017-01-27           0.03\n",
      "2017-01-28           0.00\n",
      "2017-01-29           0.26\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           0.18\n",
      "2017-02-07           1.32\n",
      "2017-02-08           0.00\n",
      "2017-02-09           0.00\n",
      "2017-02-10           0.00\n",
      "2017-02-11           1.73\n",
      "2017-02-12           2.98\n",
      "2017-02-13           0.01\n",
      "2017-02-14           0.00\n",
      "2017-02-15           0.01\n",
      "2017-02-16           0.73\n",
      "2017-02-17           0.13\n",
      "2017-02-18           0.00\n",
      "2017-02-19           0.09\n",
      "2017-02-20           0.00\n",
      "2017-02-21           0.00\n",
      "2017-02-22           0.06\n",
      "2017-02-23           0.00\n",
      "2017-02-24           0.00\n",
      "2017-02-25           0.00\n",
      "2017-02-26           0.00\n",
      "2017-02-27           0.00\n",
      "2017-02-28           0.04\n",
      "2017-03-01           2.12\n",
      "2017-03-02           1.88\n",
      "2017-03-03           0.27\n",
      "2017-03-04           0.00\n",
      "2017-03-05           0.41\n",
      "2017-03-06           0.03\n",
      "2017-03-07           0.00\n",
      "2017-03-08           0.00\n",
      "2017-03-09           0.65\n",
      "2017-03-10           0.03\n",
      "2017-03-11           0.01\n",
      "2017-03-12           0.00\n",
      "2017-03-13           0.00\n",
      "2017-03-14           0.00\n",
      "2017-03-15           0.06\n",
      "2017-03-16           0.00\n",
      "2017-03-17           0.12\n",
      "2017-03-18           0.00\n",
      "2017-03-19           0.00\n",
      "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": [
    "# Print the dataframe without the index\n",
    "print(df.to_string(index=False))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Sort the dataframe by date\n",
    "df = df.sort_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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",
      "2016-11-03           0.00\n",
      "2016-11-03           0.00\n",
      "2016-11-03           0.00\n",
      "2016-11-03           0.02\n",
      "2016-11-04           0.00\n",
      "2016-11-04           0.00\n",
      "2016-11-04           0.00\n",
      "2016-11-04           0.00\n",
      "2016-11-04           0.06\n",
      "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",
      "2016-11-08           0.15\n",
      "2016-11-08           0.07\n",
      "2016-11-08           0.02\n",
      "2016-11-08           0.14\n",
      "2016-11-09           0.11\n",
      "2016-11-09           0.17\n",
      "2016-11-09           0.00\n",
      "2016-11-09           0.00\n",
      "2016-11-09           0.08\n",
      "2016-11-09           0.04\n",
      "2016-11-09           0.00\n",
      "2016-11-10           0.00\n",
      "2016-11-10           0.00\n",
      "2016-11-10           0.00\n",
      "2016-11-10           0.00\n",
      "2016-11-10           0.00\n",
      "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",
      "2016-11-11           0.00\n",
      "2016-11-11           0.00\n",
      "2016-11-12           0.00\n",
      "2016-11-12           0.00\n",
      "2016-11-12           0.00\n",
      "2016-11-12           0.00\n",
      "2016-11-12           0.00\n",
      "2016-11-12           0.00\n",
      "2016-11-13           0.00\n",
      "2016-11-13           0.00\n",
      "2016-11-13           0.00\n",
      "2016-11-13           0.00\n",
      "2016-11-13           0.00\n",
      "2016-11-13           0.00\n",
      "2016-11-14           0.00\n",
      "2016-11-14           0.00\n",
      "2016-11-14           0.02\n",
      "2016-11-14           0.00\n",
      "2016-11-14           0.02\n",
      "2016-11-14           0.06\n",
      "2016-11-14           0.05\n",
      "2016-11-15           0.00\n",
      "2016-11-15           0.00\n",
      "2016-11-15           0.05\n",
      "2016-11-15            NaN\n",
      "2016-11-15           0.00\n",
      "2016-11-15           0.00\n",
      "2016-11-15           0.00\n",
      "2016-11-16           0.14\n",
      "2016-11-16           0.18\n",
      "2016-11-16           0.24\n",
      "2016-11-16            NaN\n",
      "2016-11-16           0.91\n",
      "2016-11-16           0.00\n",
      "2016-11-16           0.07\n",
      "2016-11-17           0.00\n",
      "2016-11-17           0.00\n",
      "2016-11-17            NaN\n",
      "2016-11-17           0.02\n",
      "2016-11-17           0.03\n",
      "2016-11-17           0.00\n",
      "2016-11-17           0.01\n",
      "2016-11-18            NaN\n",
      "2016-11-18           0.01\n",
      "2016-11-18           0.00\n",
      "2016-11-18           0.02\n",
      "2016-11-18           0.00\n",
      "2016-11-19           0.13\n",
      "2016-11-19           0.03\n",
      "2016-11-19           0.11\n",
      "2016-11-19           0.11\n",
      "2016-11-20           0.05\n",
      "2016-11-20            NaN\n",
      "2016-11-20           0.11\n",
      "2016-11-20           0.40\n",
      "2016-11-20           0.39\n",
      "2016-11-21           0.07\n",
      "2016-11-21            NaN\n",
      "2016-11-21           0.11\n",
      "2016-11-21           0.01\n",
      "2016-11-21           0.02\n",
      "2016-11-21           2.87\n",
      "2016-11-22            NaN\n",
      "2016-11-22           0.41\n",
      "2016-11-22           2.11\n",
      "2016-11-22           2.05\n",
      "2016-11-22           0.31\n",
      "2016-11-22            NaN\n",
      "2016-11-22           0.13\n",
      "2016-11-23           0.14\n",
      "2016-11-23           0.25\n",
      "2016-11-23           0.03\n",
      "2016-11-23            NaN\n",
      "2016-11-23           0.03\n",
      "2016-11-23           0.22\n",
      "2016-11-24           0.20\n",
      "2016-11-24           0.72\n",
      "2016-11-24           0.30\n",
      "2016-11-24           0.05\n",
      "2016-11-24           0.21\n",
      "2016-11-25           1.03\n",
      "2016-11-25           0.11\n",
      "2016-11-25            NaN\n",
      "2016-11-25           0.05\n",
      "2016-11-25           0.08\n",
      "2016-11-25           0.05\n",
      "2016-11-26           0.06\n",
      "2016-11-26           0.30\n",
      "2016-11-26           0.05\n",
      "2016-11-26           0.03\n",
      "2016-11-26           0.02\n",
      "2016-11-26           0.05\n",
      "2016-11-27           0.17\n",
      "2016-11-27           0.06\n",
      "2016-11-27           0.00\n",
      "2016-11-27           0.03\n",
      "2016-11-27           0.29\n",
      "2016-11-27           0.00\n",
      "2016-11-28           0.01\n",
      "2016-11-28           0.00\n",
      "2016-11-28           0.02\n",
      "2016-11-28           0.00\n",
      "2016-11-28            NaN\n",
      "2016-11-28           0.69\n",
      "2016-11-28           0.00\n",
      "2016-11-29           0.06\n",
      "2016-11-29           0.04\n",
      "2016-11-29           0.09\n",
      "2016-11-29           0.04\n",
      "2016-11-29           0.20\n",
      "2016-11-29           0.00\n",
      "2016-11-29            NaN\n",
      "2016-11-30           0.14\n",
      "2016-11-30           0.05\n",
      "2016-11-30           0.00\n",
      "2016-11-30           0.03\n",
      "2016-11-30           0.05\n",
      "2016-11-30           0.79\n",
      "2016-11-30            NaN\n",
      "2016-12-01           0.16\n",
      "2016-12-01           0.07\n",
      "2016-12-01            NaN\n",
      "2016-12-01           0.12\n",
      "2016-12-01           0.37\n",
      "2016-12-01           0.72\n",
      "2016-12-01           0.33\n",
      "2016-12-02            NaN\n",
      "2016-12-02           0.01\n",
      "2016-12-02           1.27\n",
      "2016-12-02           0.03\n",
      "2016-12-02           0.40\n",
      "2016-12-02           0.30\n",
      "2016-12-02           0.35\n",
      "2016-12-03           0.02\n",
      "2016-12-03           0.26\n",
      "2016-12-03           0.04\n",
      "2016-12-03           0.77\n",
      "2016-12-03           0.00\n",
      "2016-12-03           1.62\n",
      "2016-12-04           0.04\n",
      "2016-12-04           0.10\n",
      "2016-12-04           0.03\n",
      "2016-12-04           0.32\n",
      "2016-12-04           0.00\n",
      "2016-12-04           0.31\n",
      "2016-12-05           1.60\n",
      "2016-12-05            NaN\n",
      "2016-12-05           0.20\n",
      "2016-12-05           0.34\n",
      "2016-12-05           0.45\n",
      "2016-12-05           0.22\n",
      "2016-12-05           0.43\n",
      "2016-12-06           0.02\n",
      "2016-12-06           0.00\n",
      "2016-12-06           0.00\n",
      "2016-12-06           0.02\n",
      "2016-12-06            NaN\n",
      "2016-12-06           0.00\n",
      "2016-12-07            NaN\n",
      "2016-12-07           0.00\n",
      "2016-12-07           0.07\n",
      "2016-12-07           0.02\n",
      "2016-12-07           0.12\n",
      "2016-12-07           0.17\n",
      "2016-12-07            NaN\n",
      "2016-12-08           0.01\n",
      "2016-12-08           0.07\n",
      "2016-12-08           0.03\n",
      "2016-12-08           0.03\n",
      "2016-12-08           0.02\n",
      "2016-12-08           0.27\n",
      "2016-12-08           0.03\n",
      "2016-12-09           0.26\n",
      "2016-12-09           0.34\n",
      "2016-12-09           0.52\n",
      "2016-12-09           0.31\n",
      "2016-12-09           0.42\n",
      "2016-12-09            NaN\n",
      "2016-12-10           0.00\n",
      "2016-12-10           0.02\n",
      "2016-12-10           0.05\n",
      "2016-12-10            NaN\n",
      "2016-12-10           0.02\n",
      "2016-12-10           0.04\n",
      "2016-12-11           0.00\n",
      "2016-12-11           0.02\n",
      "2016-12-11           0.13\n",
      "2016-12-11           0.06\n",
      "2016-12-11           0.04\n",
      "2016-12-12           0.01\n",
      "2016-12-12           0.01\n",
      "2016-12-12           0.00\n",
      "2016-12-12            NaN\n",
      "2016-12-12           0.02\n",
      "2016-12-12           0.00\n",
      "2016-12-12           0.01\n",
      "2016-12-13           0.10\n",
      "2016-12-13           0.15\n",
      "2016-12-13           0.04\n",
      "2016-12-13           0.09\n",
      "2016-12-13           0.05\n",
      "2016-12-13           0.34\n",
      "2016-12-13            NaN\n",
      "2016-12-14           0.33\n",
      "2016-12-14           0.05\n",
      "2016-12-14           0.05\n",
      "2016-12-14           0.92\n",
      "2016-12-14            NaN\n",
      "2016-12-14           0.03\n",
      "2016-12-14           0.12\n",
      "2016-12-15           0.00\n",
      "2016-12-15           0.02\n",
      "2016-12-15           0.14\n",
      "2016-12-15           0.03\n",
      "2016-12-15           0.07\n",
      "2016-12-15            NaN\n",
      "2016-12-15           0.00\n",
      "2016-12-16           0.00\n",
      "2016-12-16           0.00\n",
      "2016-12-16           0.03\n",
      "2016-12-16           0.00\n",
      "2016-12-16           0.01\n",
      "2016-12-16            NaN\n",
      "2016-12-16           0.00\n",
      "2016-12-17           0.01\n",
      "2016-12-17           0.00\n",
      "2016-12-17           0.16\n",
      "2016-12-17           0.07\n",
      "2016-12-17           0.11\n",
      "2016-12-18           0.27\n",
      "2016-12-18           0.04\n",
      "2016-12-18           0.29\n",
      "2016-12-18           0.16\n",
      "2016-12-18           0.13\n",
      "2016-12-18            NaN\n",
      "2016-12-19            NaN\n",
      "2016-12-19           0.02\n",
      "2016-12-19           0.21\n",
      "2016-12-19           0.03\n",
      "2016-12-19           0.01\n",
      "2016-12-19           0.15\n",
      "2016-12-19           0.00\n",
      "2016-12-20           0.00\n",
      "2016-12-20           0.02\n",
      "2016-12-20            NaN\n",
      "2016-12-20           0.01\n",
      "2016-12-20           0.00\n",
      "2016-12-20           0.00\n",
      "2016-12-20           0.00\n",
      "2016-12-21           0.09\n",
      "2016-12-21           0.03\n",
      "2016-12-21           0.00\n",
      "2016-12-21           0.11\n",
      "2016-12-21           0.06\n",
      "2016-12-21           0.06\n",
      "2016-12-21           0.55\n",
      "2016-12-22           0.86\n",
      "2016-12-22           0.14\n",
      "2016-12-22           0.01\n",
      "2016-12-22           1.24\n",
      "2016-12-22            NaN\n",
      "2016-12-22           0.05\n",
      "2016-12-22           0.17\n",
      "2016-12-23           0.03\n",
      "2016-12-23           0.10\n",
      "2016-12-23           0.24\n",
      "2016-12-23            NaN\n",
      "2016-12-23           0.02\n",
      "2016-12-23           0.83\n",
      "2016-12-23           0.01\n",
      "2016-12-24           0.13\n",
      "2016-12-24           1.08\n",
      "2016-12-24           0.20\n",
      "2016-12-24           0.01\n",
      "2016-12-24           0.14\n",
      "2016-12-24           0.06\n",
      "2016-12-25           0.02\n",
      "2016-12-25           0.00\n",
      "2016-12-25           0.38\n",
      "2016-12-25           0.03\n",
      "2016-12-25           0.00\n",
      "2016-12-26           0.02\n",
      "2016-12-26           0.06\n",
      "2016-12-26            NaN\n",
      "2016-12-26           0.22\n",
      "2016-12-26           1.48\n",
      "2016-12-26           0.26\n",
      "2016-12-27           0.00\n",
      "2016-12-27           0.05\n",
      "2016-12-27           0.00\n",
      "2016-12-27           0.02\n",
      "2016-12-27           0.03\n",
      "2016-12-27           0.14\n",
      "2016-12-28           0.09\n",
      "2016-12-28           0.09\n",
      "2016-12-28            NaN\n",
      "2016-12-28           0.01\n",
      "2016-12-28           0.06\n",
      "2016-12-28           0.14\n",
      "2016-12-28           0.02\n",
      "2016-12-29           1.03\n",
      "2016-12-29           0.18\n",
      "2016-12-29           0.04\n",
      "2016-12-29           0.05\n",
      "2016-12-29            NaN\n",
      "2016-12-29           0.56\n",
      "2016-12-29           0.52\n",
      "2016-12-30           0.21\n",
      "2016-12-30           0.29\n",
      "2016-12-30           2.37\n",
      "2016-12-30            NaN\n",
      "2016-12-30           0.12\n",
      "2016-12-30           0.29\n",
      "2016-12-30           0.07\n",
      "2016-12-31           0.62\n",
      "2016-12-31           0.25\n",
      "2016-12-31           0.90\n",
      "2016-12-31           0.36\n",
      "2016-12-31           0.01\n",
      "2017-01-01           0.03\n",
      "2017-01-01           0.03\n",
      "2017-01-01           0.00\n",
      "2017-01-01           0.29\n",
      "2017-01-01           0.00\n",
      "2017-01-01            NaN\n",
      "2017-01-02           0.00\n",
      "2017-01-02           0.01\n",
      "2017-01-02           0.00\n",
      "2017-01-02           0.00\n",
      "2017-01-02           0.01\n",
      "2017-01-03           0.00\n",
      "2017-01-03           0.00\n",
      "2017-01-03           0.00\n",
      "2017-01-03            NaN\n",
      "2017-01-03           0.00\n",
      "2017-01-03           0.00\n",
      "2017-01-04           0.00\n",
      "2017-01-04           0.18\n",
      "2017-01-04           0.00\n",
      "2017-01-04           0.00\n",
      "2017-01-04           0.00\n",
      "2017-01-04           0.00\n",
      "2017-01-05           0.47\n",
      "2017-01-05           0.00\n",
      "2017-01-05           0.00\n",
      "2017-01-05           0.42\n",
      "2017-01-05           0.00\n",
      "2017-01-05           0.06\n",
      "2017-01-06           0.10\n",
      "2017-01-06           0.00\n",
      "2017-01-06           0.01\n",
      "2017-01-06           0.00\n",
      "2017-01-06           0.59\n",
      "2017-01-06           0.10\n",
      "2017-01-07           0.00\n",
      "2017-01-07           0.06\n",
      "2017-01-07           0.00\n",
      "2017-01-07           0.00\n",
      "2017-01-07           0.00\n",
      "2017-01-07           0.00\n",
      "2017-01-08           0.00\n",
      "2017-01-08           0.03\n",
      "2017-01-08           0.00\n",
      "2017-01-08           0.00\n",
      "2017-01-08           0.03\n",
      "2017-01-08           0.00\n",
      "2017-01-09           0.00\n",
      "2017-01-09           0.00\n",
      "2017-01-09           0.00\n",
      "2017-01-09           0.00\n",
      "2017-01-09           0.00\n",
      "2017-01-09            NaN\n",
      "2017-01-09           0.00\n",
      "2017-01-10           0.00\n",
      "2017-01-10           0.00\n",
      "2017-01-10           0.00\n",
      "2017-01-10           0.00\n",
      "2017-01-10           0.00\n",
      "2017-01-10           0.00\n",
      "2017-01-10            NaN\n",
      "2017-01-11           0.00\n",
      "2017-01-11           0.00\n",
      "2017-01-11           0.00\n",
      "2017-01-11           0.00\n",
      "2017-01-11           0.00\n",
      "2017-01-11            NaN\n",
      "2017-01-12           0.00\n",
      "2017-01-12            NaN\n",
      "2017-01-12           0.00\n",
      "2017-01-12           0.00\n",
      "2017-01-12            NaN\n",
      "2017-01-12           0.00\n",
      "2017-01-13            NaN\n",
      "2017-01-13           0.00\n",
      "2017-01-13           0.00\n",
      "2017-01-13           0.00\n",
      "2017-01-13            NaN\n",
      "2017-01-13           0.00\n",
      "2017-01-14           0.01\n",
      "2017-01-14           0.00\n",
      "2017-01-14           0.00\n",
      "2017-01-14           0.00\n",
      "2017-01-14           0.00\n",
      "2017-01-15           0.00\n",
      "2017-01-15           0.00\n",
      "2017-01-15            NaN\n",
      "2017-01-15           0.00\n",
      "2017-01-15           0.01\n",
      "2017-01-16            NaN\n",
      "2017-01-16           0.00\n",
      "2017-01-16           0.00\n",
      "2017-01-16           0.00\n",
      "2017-01-16           0.00\n",
      "2017-01-16           0.00\n",
      "2017-01-17           0.00\n",
      "2017-01-17           0.00\n",
      "2017-01-17           0.00\n",
      "2017-01-17           0.00\n",
      "2017-01-17           0.00\n",
      "2017-01-17           0.00\n",
      "2017-01-18           0.07\n",
      "2017-01-18           0.00\n",
      "2017-01-18           0.00\n",
      "2017-01-18           0.00\n",
      "2017-01-18           0.00\n",
      "2017-01-18           0.00\n",
      "2017-01-18            NaN\n",
      "2017-01-19           0.00\n",
      "2017-01-19            NaN\n",
      "2017-01-19           0.00\n",
      "2017-01-19           0.02\n",
      "2017-01-19           0.00\n",
      "2017-01-19           0.00\n",
      "2017-01-19           0.00\n",
      "2017-01-20            NaN\n",
      "2017-01-20           0.00\n",
      "2017-01-20           0.00\n",
      "2017-01-20           0.00\n",
      "2017-01-20           0.00\n",
      "2017-01-20           0.00\n",
      "2017-01-20           0.00\n",
      "2017-01-21           0.03\n",
      "2017-01-21           0.08\n",
      "2017-01-21           0.04\n",
      "2017-01-21           0.02\n",
      "2017-01-21           0.11\n",
      "2017-01-21           0.00\n",
      "2017-01-22           0.01\n",
      "2017-01-22           0.72\n",
      "2017-01-22           0.04\n",
      "2017-01-22           0.09\n",
      "2017-01-22           0.16\n",
      "2017-01-23           0.00\n",
      "2017-01-23           0.85\n",
      "2017-01-23           0.01\n",
      "2017-01-23           0.08\n",
      "2017-01-23           0.00\n",
      "2017-01-23            NaN\n",
      "2017-01-23            NaN\n",
      "2017-01-24           0.13\n",
      "2017-01-24            NaN\n",
      "2017-01-24           1.85\n",
      "2017-01-24           0.08\n",
      "2017-01-24           0.15\n",
      "2017-01-24           0.04\n",
      "2017-01-25            NaN\n",
      "2017-01-25           0.12\n",
      "2017-01-25           0.79\n",
      "2017-01-25           2.64\n",
      "2017-01-25            NaN\n",
      "2017-01-25           0.03\n",
      "2017-01-25           0.00\n",
      "2017-01-26           0.00\n",
      "2017-01-26           0.00\n",
      "2017-01-26           0.00\n",
      "2017-01-26           0.01\n",
      "2017-01-26           0.10\n",
      "2017-01-26           0.00\n",
      "2017-01-26           0.00\n",
      "2017-01-27           0.03\n",
      "2017-01-27           0.00\n",
      "2017-01-27           0.03\n",
      "2017-01-27           0.00\n",
      "2017-01-27           0.00\n",
      "2017-01-27           0.00\n",
      "2017-01-27           0.00\n",
      "2017-01-28           0.00\n",
      "2017-01-28           0.00\n",
      "2017-01-28           0.14\n",
      "2017-01-28           0.00\n",
      "2017-01-28           0.00\n",
      "2017-01-29           0.00\n",
      "2017-01-29            NaN\n",
      "2017-01-29           0.26\n",
      "2017-01-29           0.18\n",
      "2017-01-29           0.55\n",
      "2017-01-30           0.00\n",
      "2017-01-30           0.00\n",
      "2017-01-30            NaN\n",
      "2017-01-30           0.00\n",
      "2017-01-30           0.05\n",
      "2017-01-30           0.00\n",
      "2017-01-30           0.00\n",
      "2017-01-31           0.00\n",
      "2017-01-31           0.00\n",
      "2017-01-31           0.00\n",
      "2017-01-31           0.00\n",
      "2017-01-31           0.00\n",
      "2017-01-31           0.00\n",
      "2017-01-31           0.00\n",
      "2017-02-01           0.00\n",
      "2017-02-01           0.00\n",
      "2017-02-01           0.00\n",
      "2017-02-01           0.00\n",
      "2017-02-01           0.00\n",
      "2017-02-01           0.00\n",
      "2017-02-01           0.00\n",
      "2017-02-02           0.00\n",
      "2017-02-02           0.00\n",
      "2017-02-02           0.00\n",
      "2017-02-02           0.00\n",
      "2017-02-02           0.00\n",
      "2017-02-02           0.00\n",
      "2017-02-02           0.00\n",
      "2017-02-03           0.00\n",
      "2017-02-03           0.00\n",
      "2017-02-03           0.00\n",
      "2017-02-03           0.00\n",
      "2017-02-03           0.00\n",
      "2017-02-03           0.00\n",
      "2017-02-04           0.00\n",
      "2017-02-04           0.00\n",
      "2017-02-04           0.00\n",
      "2017-02-04           0.00\n",
      "2017-02-04            NaN\n",
      "2017-02-05            NaN\n",
      "2017-02-05           0.00\n",
      "2017-02-05           0.00\n",
      "2017-02-05           0.00\n",
      "2017-02-05           0.00\n",
      "2017-02-05           0.00\n",
      "2017-02-06           0.00\n",
      "2017-02-06           0.00\n",
      "2017-02-06           0.00\n",
      "2017-02-06           0.04\n",
      "2017-02-06           0.16\n",
      "2017-02-06           0.18\n",
      "2017-02-06            NaN\n",
      "2017-02-07           0.90\n",
      "2017-02-07           0.00\n",
      "2017-02-07           1.32\n",
      "2017-02-07           1.08\n",
      "2017-02-07           1.80\n",
      "2017-02-07           0.51\n",
      "2017-02-07           1.79\n",
      "2017-02-08           0.00\n",
      "2017-02-08           0.00\n",
      "2017-02-08           1.08\n",
      "2017-02-08           0.00\n",
      "2017-02-08           0.00\n",
      "2017-02-08           0.00\n",
      "2017-02-08           0.00\n",
      "2017-02-09           0.00\n",
      "2017-02-09           0.00\n",
      "2017-02-09           0.00\n",
      "2017-02-09           0.00\n",
      "2017-02-09           0.00\n",
      "2017-02-09           0.02\n",
      "2017-02-09           0.00\n",
      "2017-02-10           0.00\n",
      "2017-02-10           0.00\n",
      "2017-02-10           0.00\n",
      "2017-02-10           0.00\n",
      "2017-02-10           0.00\n",
      "2017-02-10           0.00\n",
      "2017-02-10           0.00\n",
      "2017-02-11           0.73\n",
      "2017-02-11           5.04\n",
      "2017-02-11           1.73\n",
      "2017-02-11           0.31\n",
      "2017-02-11           2.39\n",
      "2017-02-11           1.00\n",
      "2017-02-12           0.07\n",
      "2017-02-12           2.62\n",
      "2017-02-12           1.91\n",
      "2017-02-12           1.07\n",
      "2017-02-12           1.83\n",
      "2017-02-12           2.98\n",
      "2017-02-13           0.00\n",
      "2017-02-13           0.00\n",
      "2017-02-13           2.90\n",
      "2017-02-13           0.00\n",
      "2017-02-13           0.01\n",
      "2017-02-13            NaN\n",
      "2017-02-13           0.01\n",
      "2017-02-14           0.00\n",
      "2017-02-14           0.01\n",
      "2017-02-14           0.00\n",
      "2017-02-14           0.00\n",
      "2017-02-14           0.00\n",
      "2017-02-14           0.00\n",
      "2017-02-15           0.00\n",
      "2017-02-15           0.00\n",
      "2017-02-15           0.01\n",
      "2017-02-15            NaN\n",
      "2017-02-15            NaN\n",
      "2017-02-15           0.07\n",
      "2017-02-15           0.00\n",
      "2017-02-16           0.07\n",
      "2017-02-16           0.67\n",
      "2017-02-16            NaN\n",
      "2017-02-16           0.62\n",
      "2017-02-16           0.73\n",
      "2017-02-16           0.00\n",
      "2017-02-16           0.13\n",
      "2017-02-17           0.06\n",
      "2017-02-17           0.06\n",
      "2017-02-17           0.80\n",
      "2017-02-17           0.13\n",
      "2017-02-17           0.00\n",
      "2017-02-17           0.00\n",
      "2017-02-18           0.00\n",
      "2017-02-18           0.00\n",
      "2017-02-18            NaN\n",
      "2017-02-18           0.00\n",
      "2017-02-18           0.01\n",
      "2017-02-19           0.00\n",
      "2017-02-19           0.10\n",
      "2017-02-19           0.09\n",
      "2017-02-19           0.00\n",
      "2017-02-20           0.00\n",
      "2017-02-20            NaN\n",
      "2017-02-20           0.00\n",
      "2017-02-20           0.00\n",
      "2017-02-20           0.00\n",
      "2017-02-20            NaN\n",
      "2017-02-21           0.07\n",
      "2017-02-21           0.00\n",
      "2017-02-21            NaN\n",
      "2017-02-21           0.00\n",
      "2017-02-21           0.00\n",
      "2017-02-21           0.06\n",
      "2017-02-22           0.06\n",
      "2017-02-22           0.06\n",
      "2017-02-22           0.17\n",
      "2017-02-22           0.13\n",
      "2017-02-22           0.32\n",
      "2017-02-22           0.11\n",
      "2017-02-22           0.06\n",
      "2017-02-23           0.00\n",
      "2017-02-23           0.00\n",
      "2017-02-23           0.01\n",
      "2017-02-23           0.00\n",
      "2017-02-23           0.00\n",
      "2017-02-23           0.00\n",
      "2017-02-23           0.00\n",
      "2017-02-24           0.00\n",
      "2017-02-24           0.00\n",
      "2017-02-24           0.00\n",
      "2017-02-24           0.00\n",
      "2017-02-24           0.00\n",
      "2017-02-24           0.00\n",
      "2017-02-24           0.00\n",
      "2017-02-25           0.00\n",
      "2017-02-25           0.00\n",
      "2017-02-25           0.12\n",
      "2017-02-25           0.03\n",
      "2017-02-26           0.00\n",
      "2017-02-26            NaN\n",
      "2017-02-26           0.00\n",
      "2017-02-26           0.00\n",
      "2017-02-26            NaN\n",
      "2017-02-26           0.00\n",
      "2017-02-27           0.00\n",
      "2017-02-27           0.00\n",
      "2017-02-27           0.00\n",
      "2017-02-27           0.00\n",
      "2017-02-27           0.00\n",
      "2017-02-27           0.00\n",
      "2017-02-27            NaN\n",
      "2017-02-28            NaN\n",
      "2017-02-28           0.04\n",
      "2017-02-28           0.00\n",
      "2017-02-28           0.58\n",
      "2017-02-28           0.16\n",
      "2017-02-28           0.00\n",
      "2017-02-28           0.04\n",
      "2017-03-01           2.12\n",
      "2017-03-01           2.40\n",
      "2017-03-01           0.59\n",
      "2017-03-01           1.19\n",
      "2017-03-01           2.20\n",
      "2017-03-01           1.12\n",
      "2017-03-01           2.00\n",
      "2017-03-02           1.45\n",
      "2017-03-02           0.58\n",
      "2017-03-02           1.48\n",
      "2017-03-02           0.73\n",
      "2017-03-02           1.88\n",
      "2017-03-02           0.44\n",
      "2017-03-03           0.54\n",
      "2017-03-03           0.56\n",
      "2017-03-03           0.14\n",
      "2017-03-03            NaN\n",
      "2017-03-03           0.47\n",
      "2017-03-03           0.25\n",
      "2017-03-03           0.27\n",
      "2017-03-04           0.00\n",
      "2017-03-04           0.00\n",
      "2017-03-04           0.00\n",
      "2017-03-04           0.00\n",
      "2017-03-04           0.00\n",
      "2017-03-05           0.41\n",
      "2017-03-05           0.35\n",
      "2017-03-05           0.10\n",
      "2017-03-05           0.35\n",
      "2017-03-06           0.00\n",
      "2017-03-06            NaN\n",
      "2017-03-06            NaN\n",
      "2017-03-06           0.03\n",
      "2017-03-06           0.51\n",
      "2017-03-06           0.00\n",
      "2017-03-06            NaN\n",
      "2017-03-07           0.00\n",
      "2017-03-07            NaN\n",
      "2017-03-07           0.00\n",
      "2017-03-07           0.00\n",
      "2017-03-07           0.00\n",
      "2017-03-07           0.00\n",
      "2017-03-08           0.00\n",
      "2017-03-08           0.00\n",
      "2017-03-08           0.00\n",
      "2017-03-08           0.00\n",
      "2017-03-08            NaN\n",
      "2017-03-08           0.00\n",
      "2017-03-09           0.50\n",
      "2017-03-09           0.00\n",
      "2017-03-09           0.65\n",
      "2017-03-09            NaN\n",
      "2017-03-09           0.00\n",
      "2017-03-09           0.80\n",
      "2017-03-09           0.01\n",
      "2017-03-10           0.00\n",
      "2017-03-10           0.03\n",
      "2017-03-10           0.13\n",
      "2017-03-10           0.00\n",
      "2017-03-10           0.00\n",
      "2017-03-10           0.00\n",
      "2017-03-10           0.13\n",
      "2017-03-11           0.00\n",
      "2017-03-11           0.01\n",
      "2017-03-11           0.00\n",
      "2017-03-11           0.03\n",
      "2017-03-11           0.00\n",
      "2017-03-12            NaN\n",
      "2017-03-12           0.00\n",
      "2017-03-12           0.00\n",
      "2017-03-12           0.00\n",
      "2017-03-12           0.00\n",
      "2017-03-13           0.00\n",
      "2017-03-13            NaN\n",
      "2017-03-13           0.00\n",
      "2017-03-13            NaN\n",
      "2017-03-13           0.00\n",
      "2017-03-13           0.00\n",
      "2017-03-13           0.00\n",
      "2017-03-14           0.00\n",
      "2017-03-14           0.00\n",
      "2017-03-14           0.00\n",
      "2017-03-14           0.00\n",
      "2017-03-14           0.00\n",
      "2017-03-14           0.00\n",
      "2017-03-14           0.06\n",
      "2017-03-15           0.00\n",
      "2017-03-15           0.00\n",
      "2017-03-15           0.00\n",
      "2017-03-15           0.00\n",
      "2017-03-15           0.00\n",
      "2017-03-15           0.06\n",
      "2017-03-16           0.00\n",
      "2017-03-16           0.00\n",
      "2017-03-16           0.00\n",
      "2017-03-16           0.00\n",
      "2017-03-16            NaN\n",
      "2017-03-16           0.00\n",
      "2017-03-16            NaN\n",
      "2017-03-17           0.06\n",
      "2017-03-17           0.35\n",
      "2017-03-17           0.00\n",
      "2017-03-17           0.12\n",
      "2017-03-17            NaN\n",
      "2017-03-17           0.19\n",
      "2017-03-18           0.00\n",
      "2017-03-18           0.00\n",
      "2017-03-18            NaN\n",
      "2017-03-18           0.00\n",
      "2017-03-18           0.00\n",
      "2017-03-18           0.00\n",
      "2017-03-19           0.00\n",
      "2017-03-19           0.00\n",
      "2017-03-19           0.00\n",
      "2017-03-19           0.00\n",
      "2017-03-19           0.00\n",
      "2017-03-20           0.00\n",
      "2017-03-20           0.00\n",
      "2017-03-20           0.02\n",
      "2017-03-20           0.00\n",
      "2017-03-20           0.00\n",
      "2017-03-20            NaN\n",
      "2017-03-21           0.00\n",
      "2017-03-21           0.09\n",
      "2017-03-21           0.00\n",
      "2017-03-21           0.00\n",
      "2017-03-21           0.00\n",
      "2017-03-21           0.00\n",
      "2017-03-22           0.00\n",
      "2017-03-22           0.00\n",
      "2017-03-22           0.00\n",
      "2017-03-22           0.00\n",
      "2017-03-22           0.00\n",
      "2017-03-22           0.00\n",
      "2017-03-23           0.00\n",
      "2017-03-23           0.00\n",
      "2017-03-23           0.00\n",
      "2017-03-23           0.02\n",
      "2017-03-23           0.03\n",
      "2017-03-23           0.00\n",
      "2017-03-24           0.02\n",
      "2017-03-24           0.15\n",
      "2017-03-24           0.17\n",
      "2017-03-24           0.60\n",
      "2017-03-24           0.12\n",
      "2017-03-24           0.07\n",
      "2017-03-25           0.48\n",
      "2017-03-25           0.43\n",
      "2017-03-25           0.00\n",
      "2017-03-25           0.13\n",
      "2017-03-25           0.93\n",
      "2017-03-26           0.00\n",
      "2017-03-26           0.00\n",
      "2017-03-26           0.00\n",
      "2017-03-26           0.00\n",
      "2017-03-26           0.00\n",
      "2017-03-27           0.00\n",
      "2017-03-27           0.00\n",
      "2017-03-27           0.00\n",
      "2017-03-27           0.01\n",
      "2017-03-27           0.00\n",
      "2017-03-27            NaN\n",
      "2017-03-28           0.03\n",
      "2017-03-28           0.00\n",
      "2017-03-28           0.00\n",
      "2017-03-28           0.00\n",
      "2017-03-28            NaN\n",
      "2017-03-28           0.00\n",
      "2017-03-28           0.68\n",
      "2017-03-29           0.03\n",
      "2017-03-29           0.00\n",
      "2017-03-29           0.00\n",
      "2017-03-29           0.01\n",
      "2017-03-29           0.07\n",
      "2017-03-29            NaN\n",
      "2017-03-29           0.08\n",
      "2017-03-30           0.00\n",
      "2017-03-30           0.00\n",
      "2017-03-30           0.04\n",
      "2017-03-30           0.08\n",
      "2017-03-30           0.03\n",
      "2017-03-30            NaN\n",
      "2017-03-31           0.01\n",
      "2017-03-31           0.00\n",
      "2017-03-31           0.00\n",
      "2017-03-31            NaN\n",
      "2017-03-31           0.00\n",
      "2017-03-31           0.00\n",
      "2017-03-31           0.00\n",
      "2017-04-01           0.21\n",
      "2017-04-01           0.00\n",
      "2017-04-01           0.00\n",
      "2017-04-01           0.20\n",
      "2017-04-01           0.00\n",
      "2017-04-01           0.00\n",
      "2017-04-02           0.00\n",
      "2017-04-02           0.00\n",
      "2017-04-02           0.00\n",
      "2017-04-02           0.00\n",
      "2017-04-02           0.00\n",
      "2017-04-02           0.00\n",
      "2017-04-03           0.26\n",
      "2017-04-03           0.08\n",
      "2017-04-03            NaN\n",
      "2017-04-03           0.00\n",
      "2017-04-03           0.23\n",
      "2017-04-03           0.09\n",
      "2017-04-03           0.00\n",
      "2017-04-04           0.04\n",
      "2017-04-04           0.00\n",
      "2017-04-04           0.09\n",
      "2017-04-04           0.00\n",
      "2017-04-04           0.00\n",
      "2017-04-04           0.00\n",
      "2017-04-04           0.02\n",
      "2017-04-05           0.00\n",
      "2017-04-05           0.00\n",
      "2017-04-05           0.10\n",
      "2017-04-05           0.45\n",
      "2017-04-05           0.04\n",
      "2017-04-05           0.07\n",
      "2017-04-05           0.00\n",
      "2017-04-06           0.00\n",
      "2017-04-06           0.00\n",
      "2017-04-06           0.00\n",
      "2017-04-06           0.00\n",
      "2017-04-06           0.00\n",
      "2017-04-06           0.00\n",
      "2017-04-06           0.06\n",
      "2017-04-07           0.00\n",
      "2017-04-07           0.00\n",
      "2017-04-07           0.00\n",
      "2017-04-07           0.00\n",
      "2017-04-07           0.00\n",
      "2017-04-07           0.00\n",
      "2017-04-08           0.00\n",
      "2017-04-08            NaN\n",
      "2017-04-08           0.00\n",
      "2017-04-08           0.00\n",
      "2017-04-09           0.00\n",
      "2017-04-09           0.00\n",
      "2017-04-09           0.00\n",
      "2017-04-09            NaN\n",
      "2017-04-09           0.00\n",
      "2017-04-09            NaN\n",
      "2017-04-10           0.00\n",
      "2017-04-10           0.00\n",
      "2017-04-10           0.00\n",
      "2017-04-10            NaN\n",
      "2017-04-10           0.01\n",
      "2017-04-10           0.01\n",
      "2017-04-10           0.00\n",
      "2017-04-11           0.03\n",
      "2017-04-11           0.00\n",
      "2017-04-11           0.03\n",
      "2017-04-11           0.16\n",
      "2017-04-11           0.00\n",
      "2017-04-11           0.25\n",
      "2017-04-11            NaN\n",
      "2017-04-12           0.00\n",
      "2017-04-12           0.03\n",
      "2017-04-12           0.65\n",
      "2017-04-12           0.11\n",
      "2017-04-12           0.00\n",
      "2017-04-12           0.29\n",
      "2017-04-12            NaN\n",
      "2017-04-13            NaN\n",
      "2017-04-13           0.23\n",
      "2017-04-13           0.27\n",
      "2017-04-13           0.00\n",
      "2017-04-13           0.59\n",
      "2017-04-13           0.00\n",
      "2017-04-13           0.00\n",
      "2017-04-14           0.36\n",
      "2017-04-14           0.69\n",
      "2017-04-14           2.30\n",
      "2017-04-14           0.26\n",
      "2017-04-14           2.82\n",
      "2017-04-14           0.29\n",
      "2017-04-15           0.90\n",
      "2017-04-15           0.01\n",
      "2017-04-15           0.00\n",
      "2017-04-15           0.38\n",
      "2017-04-15           0.45\n",
      "2017-04-16           0.49\n",
      "2017-04-16           0.47\n",
      "2017-04-16           0.11\n",
      "2017-04-16           0.00\n",
      "2017-04-16           0.00\n",
      "2017-04-17           0.30\n",
      "2017-04-17           1.30\n",
      "2017-04-17           0.41\n",
      "2017-04-17            NaN\n",
      "2017-04-17           0.02\n",
      "2017-04-17            NaN\n",
      "2017-04-17           1.04\n",
      "2017-04-18           0.98\n",
      "2017-04-18           0.15\n",
      "2017-04-18           0.12\n",
      "2017-04-18           0.00\n",
      "2017-04-18           0.08\n",
      "2017-04-18           0.00\n",
      "2017-04-18           2.03\n",
      "2017-04-19           0.02\n",
      "2017-04-19           0.02\n",
      "2017-04-19            NaN\n",
      "2017-04-19           0.02\n",
      "2017-04-19           0.14\n",
      "2017-04-19           0.00\n",
      "2017-04-19           0.00\n",
      "2017-04-20           0.05\n",
      "2017-04-20           0.00\n",
      "2017-04-20           0.00\n",
      "2017-04-20           0.35\n",
      "2017-04-20           0.33\n",
      "2017-04-20            NaN\n",
      "2017-04-20           0.05\n",
      "2017-04-21           1.84\n",
      "2017-04-21           1.74\n",
      "2017-04-21           0.23\n",
      "2017-04-21           2.36\n",
      "2017-04-21            NaN\n",
      "2017-04-21           1.16\n",
      "2017-04-21           1.05\n",
      "2017-04-22           1.01\n",
      "2017-04-22           0.32\n",
      "2017-04-22           1.35\n",
      "2017-04-22           1.58\n",
      "2017-04-22           0.70\n",
      "2017-04-23           0.35\n",
      "2017-04-23           0.02\n",
      "2017-04-23           0.06\n",
      "2017-04-23           0.03\n",
      "2017-04-24           0.01\n",
      "2017-04-24           0.00\n",
      "2017-04-24            NaN\n",
      "2017-04-24            NaN\n",
      "2017-04-24           0.05\n",
      "2017-04-24           0.00\n",
      "2017-04-24            NaN\n",
      "2017-04-25           0.00\n",
      "2017-04-25           0.00\n",
      "2017-04-25           0.00\n",
      "2017-04-25           0.00\n",
      "2017-04-25           0.00\n",
      "2017-04-25           0.00\n",
      "2017-04-25            NaN\n",
      "2017-04-26           0.00\n",
      "2017-04-26           0.00\n",
      "2017-04-26           0.01\n",
      "2017-04-26           0.14\n",
      "2017-04-26           0.22\n",
      "2017-04-26           0.02\n",
      "2017-04-27           0.11\n",
      "2017-04-27           0.00\n",
      "2017-04-27           0.19\n",
      "2017-04-27           0.10\n",
      "2017-04-27            NaN\n",
      "2017-04-27           0.00\n",
      "2017-04-27           0.02\n",
      "2017-04-28           2.60\n",
      "2017-04-28           0.00\n",
      "2017-04-28            NaN\n",
      "2017-04-28           0.76\n",
      "2017-04-28           0.09\n",
      "2017-04-28           0.79\n",
      "2017-04-28           0.00\n",
      "2017-04-29           0.95\n",
      "2017-04-29           0.00\n",
      "2017-04-29           6.25\n",
      "2017-04-29           0.37\n",
      "2017-04-29           0.35\n",
      "2017-04-29           0.12\n",
      "2017-04-30           0.89\n",
      "2017-04-30           1.21\n",
      "2017-04-30           0.80\n",
      "2017-04-30           1.31\n",
      "2017-04-30           1.17\n",
      "2017-04-30           1.04\n",
      "2017-05-01           0.03\n",
      "2017-05-01           0.07\n",
      "2017-05-01           0.26\n",
      "2017-05-01           0.13\n",
      "2017-05-01           0.25\n",
      "2017-05-01           0.07\n",
      "2017-05-02           0.00\n",
      "2017-05-02           0.01\n",
      "2017-05-02           0.01\n",
      "2017-05-02           0.00\n",
      "2017-05-02           0.03\n",
      "2017-05-02           0.00\n",
      "2017-05-03           0.00\n",
      "2017-05-03           0.01\n",
      "2017-05-03           0.01\n",
      "2017-05-03           0.01\n",
      "2017-05-03           0.00\n",
      "2017-05-04           0.00\n",
      "2017-05-04           0.00\n",
      "2017-05-04           0.08\n",
      "2017-05-04           0.00\n",
      "2017-05-04           0.00\n",
      "2017-05-04            NaN\n",
      "2017-05-05           0.00\n",
      "2017-05-05           0.10\n",
      "2017-05-05           0.28\n",
      "2017-05-05           0.00\n",
      "2017-05-05           0.00\n",
      "2017-05-05           0.00\n",
      "2017-05-06           0.00\n",
      "2017-05-06           0.00\n",
      "2017-05-06           0.00\n",
      "2017-05-06           0.00\n",
      "2017-05-06           0.00\n",
      "2017-05-06           0.06\n",
      "2017-05-07           0.00\n",
      "2017-05-07           0.02\n",
      "2017-05-07           0.07\n",
      "2017-05-07           0.00\n",
      "2017-05-07           0.03\n",
      "2017-05-08           0.73\n",
      "2017-05-08           0.22\n",
      "2017-05-08           0.00\n",
      "2017-05-08           0.95\n",
      "2017-05-08           1.11\n",
      "2017-05-08           0.00\n",
      "2017-05-09           0.68\n",
      "2017-05-09           0.52\n",
      "2017-05-09           1.58\n",
      "2017-05-09           1.62\n",
      "2017-05-09           0.23\n",
      "2017-05-10           0.05\n",
      "2017-05-10           0.55\n",
      "2017-05-10           0.06\n",
      "2017-05-10           0.00\n",
      "2017-05-10           0.00\n",
      "2017-05-10           0.20\n",
      "2017-05-11           0.44\n",
      "2017-05-11           0.00\n",
      "2017-05-11           0.12\n",
      "2017-05-11           0.01\n",
      "2017-05-11           0.03\n",
      "2017-05-12           0.00\n",
      "2017-05-12           0.10\n",
      "2017-05-12           0.00\n",
      "2017-05-12           0.04\n",
      "2017-05-12           0.02\n",
      "2017-05-12            NaN\n",
      "2017-05-13           0.00\n",
      "2017-05-13           0.00\n",
      "2017-05-13           0.10\n",
      "2017-05-13           0.12\n",
      "2017-05-13           0.02\n",
      "2017-05-14           0.17\n",
      "2017-05-14           0.05\n",
      "2017-05-14           0.00\n",
      "2017-05-14           0.00\n",
      "2017-05-14           1.00\n",
      "2017-05-15           0.08\n",
      "2017-05-15           0.06\n",
      "2017-05-15            NaN\n",
      "2017-05-15           0.60\n",
      "2017-05-15           0.05\n",
      "2017-05-15           0.09\n",
      "2017-05-16           0.03\n",
      "2017-05-16           0.05\n",
      "2017-05-16           0.03\n",
      "2017-05-16           0.01\n",
      "2017-05-16           0.30\n",
      "2017-05-16           0.00\n",
      "2017-05-17           0.02\n",
      "2017-05-17           0.06\n",
      "2017-05-17           0.00\n",
      "2017-05-17           0.00\n",
      "2017-05-17           0.07\n",
      "2017-05-17           0.00\n",
      "2017-05-18           0.01\n",
      "2017-05-18           0.16\n",
      "2017-05-18           0.00\n",
      "2017-05-18           0.13\n",
      "2017-05-18           0.46\n",
      "2017-05-18           0.09\n",
      "2017-05-19           0.00\n",
      "2017-05-19           0.01\n",
      "2017-05-19           0.02\n",
      "2017-05-19           0.01\n",
      "2017-05-20           0.00\n",
      "2017-05-20            NaN\n",
      "2017-05-20            NaN\n",
      "2017-05-20           0.01\n",
      "2017-05-20           0.00\n",
      "2017-05-20           0.02\n",
      "2017-05-21           0.01\n",
      "2017-05-21           0.00\n",
      "2017-05-21           0.00\n",
      "2017-05-21           0.00\n",
      "2017-05-21           0.00\n",
      "2017-05-22            NaN\n",
      "2017-05-22           0.06\n",
      "2017-05-22           0.00\n",
      "2017-05-22           0.30\n",
      "2017-05-22           0.00\n",
      "2017-05-22           0.00\n",
      "2017-05-23           0.11\n",
      "2017-05-23           0.00\n",
      "2017-05-23           0.06\n",
      "2017-05-23           0.44\n",
      "2017-05-23           0.08\n",
      "2017-05-23           0.02\n",
      "2017-05-24           0.10\n",
      "2017-05-24           0.13\n",
      "2017-05-24           0.61\n",
      "2017-05-24           0.58\n",
      "2017-05-24           0.30\n",
      "2017-05-24           2.17\n",
      "2017-05-25           0.55\n",
      "2017-05-25           0.20\n",
      "2017-05-25           0.15\n",
      "2017-05-25           0.07\n",
      "2017-05-25           0.37\n",
      "2017-05-25           0.88\n",
      "2017-05-26           0.00\n",
      "2017-05-26           0.00\n",
      "2017-05-26           0.02\n",
      "2017-05-26           0.00\n",
      "2017-05-26           0.00\n",
      "2017-05-27           0.50\n",
      "2017-05-27           0.00\n",
      "2017-05-27           0.00\n",
      "2017-05-27           0.01\n",
      "2017-05-27           0.00\n",
      "2017-05-27           0.00\n",
      "2017-05-28           0.00\n",
      "2017-05-28           0.02\n",
      "2017-05-28           0.29\n",
      "2017-05-28           0.02\n",
      "2017-05-28           0.00\n",
      "2017-05-28           0.08\n",
      "2017-05-29           0.00\n",
      "2017-05-29           0.00\n",
      "2017-05-29           0.02\n",
      "2017-05-29           0.00\n",
      "2017-05-29           0.40\n",
      "2017-05-30           1.12\n",
      "2017-05-30           0.04\n",
      "2017-05-30           0.11\n",
      "2017-05-30           0.20\n",
      "2017-05-30           0.26\n",
      "2017-05-30            NaN\n",
      "2017-05-31           0.02\n",
      "2017-05-31           0.25\n",
      "2017-05-31           0.00\n",
      "2017-05-31           0.00\n",
      "2017-05-31           0.10\n",
      "2017-06-01           0.01\n",
      "2017-06-01           0.00\n",
      "2017-06-01           0.03\n",
      "2017-06-01           0.00\n",
      "2017-06-01           0.00\n",
      "2017-06-01           0.00\n",
      "2017-06-02           0.00\n",
      "2017-06-02           0.09\n",
      "2017-06-02           0.10\n",
      "2017-06-02            NaN\n",
      "2017-06-02           0.00\n",
      "2017-06-02           0.15\n",
      "2017-06-03           0.16\n",
      "2017-06-03           0.20\n",
      "2017-06-03           0.08\n",
      "2017-06-03           0.15\n",
      "2017-06-03           0.02\n",
      "2017-06-03            NaN\n",
      "2017-06-04           0.00\n",
      "2017-06-04           0.13\n",
      "2017-06-04           0.15\n",
      "2017-06-04           0.82\n",
      "2017-06-04           0.05\n",
      "2017-06-04           0.00\n",
      "2017-06-05           0.05\n",
      "2017-06-05            NaN\n",
      "2017-06-05           0.00\n",
      "2017-06-05           0.00\n",
      "2017-06-05           0.02\n",
      "2017-06-05           0.01\n",
      "2017-06-05           0.00\n",
      "2017-06-06           0.00\n",
      "2017-06-06           0.00\n",
      "2017-06-06           0.00\n",
      "2017-06-06           0.00\n",
      "2017-06-06           0.00\n",
      "2017-06-06            NaN\n",
      "2017-06-06           0.00\n",
      "2017-06-07           0.00\n",
      "2017-06-07           0.00\n",
      "2017-06-07           0.00\n",
      "2017-06-07           0.00\n",
      "2017-06-07           0.00\n",
      "2017-06-07            NaN\n",
      "2017-06-07           0.01\n",
      "2017-06-08            NaN\n",
      "2017-06-08           0.00\n",
      "2017-06-08           0.00\n",
      "2017-06-08           0.00\n",
      "2017-06-08           0.01\n",
      "2017-06-08           0.02\n",
      "2017-06-08           0.00\n",
      "2017-06-09           0.00\n",
      "2017-06-09           0.00\n",
      "2017-06-09           0.00\n",
      "2017-06-09            NaN\n",
      "2017-06-09           0.02\n",
      "2017-06-09           0.02\n",
      "2017-06-10           0.62\n",
      "2017-06-10           0.04\n",
      "2017-06-10           0.21\n",
      "2017-06-10           0.13\n",
      "2017-06-10            NaN\n",
      "2017-06-10           0.53\n",
      "2017-06-11           0.24\n",
      "2017-06-11           0.14\n",
      "2017-06-11           0.74\n",
      "2017-06-11           0.08\n",
      "2017-06-11           0.25\n",
      "2017-06-11           0.70\n",
      "2017-06-12           0.02\n",
      "2017-06-12           0.35\n",
      "2017-06-12           0.81\n",
      "2017-06-12           0.24\n",
      "2017-06-12           0.14\n",
      "2017-06-12           0.19\n",
      "2017-06-13           0.65\n",
      "2017-06-13           0.00\n",
      "2017-06-13           0.24\n",
      "2017-06-13           0.03\n",
      "2017-06-13            NaN\n",
      "2017-06-13           0.10\n",
      "2017-06-13           0.36\n",
      "2017-06-14           0.00\n",
      "2017-06-14           0.22\n",
      "2017-06-14           0.06\n",
      "2017-06-14           0.81\n",
      "2017-06-14           0.27\n",
      "2017-06-14            NaN\n",
      "2017-06-14           0.21\n",
      "2017-06-15           1.69\n",
      "2017-06-15           0.00\n",
      "2017-06-15           0.17\n",
      "2017-06-15           0.30\n",
      "2017-06-15           0.00\n",
      "2017-06-15            NaN\n",
      "2017-06-15           0.55\n",
      "2017-06-16           0.02\n",
      "2017-06-16           0.10\n",
      "2017-06-16           0.00\n",
      "2017-06-16            NaN\n",
      "2017-06-16           0.06\n",
      "2017-06-16           0.02\n",
      "2017-06-16           0.00\n",
      "2017-06-17           0.07\n",
      "2017-06-17           0.02\n",
      "2017-06-17           0.00\n",
      "2017-06-17           0.10\n",
      "2017-06-17           0.35\n",
      "2017-06-17           0.00\n",
      "2017-06-18           0.70\n",
      "2017-06-18           0.24\n",
      "2017-06-18           0.05\n",
      "2017-06-18           0.18\n",
      "2017-06-18           0.25\n",
      "2017-06-18           0.00\n",
      "2017-06-19           0.19\n",
      "2017-06-19           0.40\n",
      "2017-06-19           0.00\n",
      "2017-06-19           0.01\n",
      "2017-06-19            NaN\n",
      "2017-06-19           0.05\n",
      "2017-06-19           0.08\n",
      "2017-06-20           0.00\n",
      "2017-06-20           0.05\n",
      "2017-06-20           0.31\n",
      "2017-06-20           0.17\n",
      "2017-06-20            NaN\n",
      "2017-06-20           0.02\n",
      "2017-06-21            NaN\n",
      "2017-06-21           0.00\n",
      "2017-06-21            NaN\n",
      "2017-06-21           0.30\n",
      "2017-06-21           0.19\n",
      "2017-06-21           0.02\n",
      "2017-06-22           0.28\n",
      "2017-06-22           0.00\n",
      "2017-06-22           0.10\n",
      "2017-06-22           0.00\n",
      "2017-06-22           0.00\n",
      "2017-06-22           0.06\n",
      "2017-06-23           0.50\n",
      "2017-06-23           0.05\n",
      "2017-06-23           0.00\n",
      "2017-06-23            NaN\n",
      "2017-06-23           0.12\n",
      "2017-06-23           0.00\n",
      "2017-06-23           0.00\n",
      "2017-06-24           0.22\n",
      "2017-06-24           0.00\n",
      "2017-06-24           0.06\n",
      "2017-06-24           0.00\n",
      "2017-06-24           0.36\n",
      "2017-06-25           0.08\n",
      "2017-06-25           0.00\n",
      "2017-06-25           0.00\n",
      "2017-06-25           0.50\n",
      "2017-06-25           0.02\n",
      "2017-06-26            NaN\n",
      "2017-06-26           0.02\n",
      "2017-06-26            NaN\n",
      "2017-06-26           0.02\n",
      "2017-06-26           0.00\n",
      "2017-06-26           0.06\n",
      "2017-06-26           0.00\n",
      "2017-06-27           0.10\n",
      "2017-06-27           0.00\n",
      "2017-06-27           0.00\n",
      "2017-06-27           0.00\n",
      "2017-06-27           0.01\n",
      "2017-06-27           0.00\n",
      "2017-06-28           0.00\n",
      "2017-06-28           0.02\n",
      "2017-06-28           0.00\n",
      "2017-06-28           0.01\n",
      "2017-06-28           0.00\n",
      "2017-06-28           0.00\n",
      "2017-06-29           0.04\n",
      "2017-06-29           0.00\n",
      "2017-06-29           0.00\n",
      "2017-06-29           0.03\n",
      "2017-06-29           0.00\n",
      "2017-06-29            NaN\n",
      "2017-06-29           0.00\n",
      "2017-06-30           0.07\n",
      "2017-06-30           0.01\n",
      "2017-06-30           0.04\n",
      "2017-06-30           0.00\n",
      "2017-06-30           0.12\n",
      "2017-06-30           0.20\n",
      "2017-06-30           0.08\n",
      "2017-07-01           0.06\n",
      "2017-07-01           0.10\n",
      "2017-07-01           0.08\n",
      "2017-07-01           0.02\n",
      "2017-07-02            NaN\n",
      "2017-07-02           0.05\n",
      "2017-07-02           0.02\n",
      "2017-07-02           0.15\n",
      "2017-07-02           0.50\n",
      "2017-07-03           0.40\n",
      "2017-07-03            NaN\n",
      "2017-07-03           0.13\n",
      "2017-07-03           0.15\n",
      "2017-07-03           0.02\n",
      "2017-07-03            NaN\n",
      "2017-07-03           0.04\n",
      "2017-07-04           0.00\n",
      "2017-07-04           0.08\n",
      "2017-07-04           0.04\n",
      "2017-07-04           0.03\n",
      "2017-07-05            NaN\n",
      "2017-07-05           0.00\n",
      "2017-07-05           0.00\n",
      "2017-07-05           0.00\n",
      "2017-07-05           0.00\n",
      "2017-07-05            NaN\n",
      "2017-07-05            NaN\n",
      "2017-07-06           0.00\n",
      "2017-07-06           0.00\n",
      "2017-07-06           0.02\n",
      "2017-07-06           0.00\n",
      "2017-07-06            NaN\n",
      "2017-07-06           0.00\n",
      "2017-07-07           0.02\n",
      "2017-07-07           0.30\n",
      "2017-07-07            NaN\n",
      "2017-07-07           0.18\n",
      "2017-07-07            NaN\n",
      "2017-07-07           0.00\n",
      "2017-07-07           0.00\n",
      "2017-07-08           0.00\n",
      "2017-07-08           0.02\n",
      "2017-07-08           0.00\n",
      "2017-07-08           0.00\n",
      "2017-07-08           0.02\n",
      "2017-07-08           0.06\n",
      "2017-07-09           0.00\n",
      "2017-07-09           0.00\n",
      "2017-07-09           0.00\n",
      "2017-07-09           0.09\n",
      "2017-07-09           0.00\n",
      "2017-07-09           0.11\n",
      "2017-07-10           0.00\n",
      "2017-07-10           0.00\n",
      "2017-07-10           0.02\n",
      "2017-07-10           0.00\n",
      "2017-07-10            NaN\n",
      "2017-07-10           0.02\n",
      "2017-07-10           0.00\n",
      "2017-07-11           0.02\n",
      "2017-07-11           0.01\n",
      "2017-07-11           0.00\n",
      "2017-07-11           0.00\n",
      "2017-07-11           0.00\n",
      "2017-07-11           0.00\n",
      "2017-07-11            NaN\n",
      "2017-07-12           0.05\n",
      "2017-07-12            NaN\n",
      "2017-07-12           0.02\n",
      "2017-07-12           0.01\n",
      "2017-07-12           0.28\n",
      "2017-07-12           0.00\n",
      "2017-07-12           0.00\n",
      "2017-07-13           0.33\n",
      "2017-07-13           0.30\n",
      "2017-07-13           0.11\n",
      "2017-07-13           0.07\n",
      "2017-07-13           0.32\n",
      "2017-07-13            NaN\n",
      "2017-07-13           0.68\n",
      "2017-07-14           0.00\n",
      "2017-07-14           0.68\n",
      "2017-07-14           0.02\n",
      "2017-07-14           0.00\n",
      "2017-07-14           0.05\n",
      "2017-07-14           0.20\n",
      "2017-07-15           0.00\n",
      "2017-07-15           0.01\n",
      "2017-07-15           0.03\n",
      "2017-07-15           0.10\n",
      "2017-07-15           0.00\n",
      "2017-07-15           0.05\n",
      "2017-07-16           0.50\n",
      "2017-07-16           0.07\n",
      "2017-07-16           0.02\n",
      "2017-07-16           0.10\n",
      "2017-07-16           0.12\n",
      "2017-07-16           0.00\n",
      "2017-07-17           0.12\n",
      "2017-07-17           0.21\n",
      "2017-07-17           0.00\n",
      "2017-07-17           0.16\n",
      "2017-07-17           0.03\n",
      "2017-07-17           0.39\n",
      "2017-07-18           0.00\n",
      "2017-07-18           0.05\n",
      "2017-07-18           0.00\n",
      "2017-07-18           0.05\n",
      "2017-07-18           0.00\n",
      "2017-07-18           0.03\n",
      "2017-07-18           2.40\n",
      "2017-07-19           0.05\n",
      "2017-07-19           0.00\n",
      "2017-07-19           0.09\n",
      "2017-07-19           0.27\n",
      "2017-07-19           0.00\n",
      "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": [
    "# print the sorted list\n",
    "print(df.to_string(index=False))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    fig.rubberband_canvas.style.cursor = msg['cursor'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from https://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * https://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAoAAAAHgCAYAAAA10dzkAAAgAElEQVR4XuydCXxU1dnG35CQhDWBAAlLQFYFRUUWFRBQVsUNcAFcqdq61tpaa23V2lqtWj8rrdal1l1cKoIKyiaICCo7yKrgwhrWsAUICXznDCbMZO6duWe595yZee7v16/99KzPc+6Zf96z3LTi4uIjhAcKQAEoAAWgABSAAlAgZRRIAwCmjNfoKBSAAlAACkABKAAFQgoAADEQoAAUgAJQAApAASiQYgoAAFPMcHQXCkABKAAFoAAUgAIAQIwBKAAFoAAUgAJQAAqkmAIAwBQzHN2FAlAACkABKAAFoAAAEGMACkABKAAFoAAUgAIppgAAMMUMR3ehABSAAlAACkABKAAAxBiAAlAACkABKAAFoECKKQAATDHD0V0oAAWgABSAAlAACgAAMQagABSAAlAACkABKJBiCgAAU8xwdBcKQAEoAAWgABSAAgBAjAEoAAWgABSAAlAACqSYAgDAFDMc3YUCUAAKQAEoAAWgAAAQYwAKQAEoAAWgABSAAimmAAAwxQxHd6EAFIACUAAKQAEoAADEGIACUAAKQAEoAAWgQIopAABMMcPRXSgABaAAFIACUAAKAAAxBqAAFIACUAAKQAEokGIKAABTzHB0FwpAASgABaAAFIACAECMASgABaAAFIACUAAKpJgCAMAUMxzdhQJQAApAASgABaAAABBjAApAASgABaAAFIACKaYAADDFDEd3oQAUgAJQAApAASgAAMQYgAJQAApAASgABaBAiikAAEwxw9FdKAAFoAAUgAJQAAoAADEGoAAUgAJQAApAASiQYgoAAFPMcHQXCkABKAAFoAAUgAIAQIwBKAAFoAAUgAJQAAqkmAIAwBQzHN2FAlAACkABKAAFoAAAEGMACkABKAAFoAAUgAIppgAAMMUMR3ehABSAAlAACkABKAAAxBiAAlAACkABKAAFoECKKQAATDHD0V0oAAWgABSAAlAACgAAMQagABSAAlAACkABKJBiCgAAU8xwdBcKQAEoAAWgABSAAgBAjAEoAAWgABSAAlAACqSYAgDAFDMc3YUCUAAKQAEoAAWgAAAQYwAKQAEoAAWgABSAAimmAAAwxQxHd6EAFIACUAAKQAEoAADEGIACUAAKQAEoAAWgQIopAABMMcPRXSgABaAAFIACUAAKAAAxBqAAFIACUAAKQAEokGIKAABTzHB0FwpAASgABaAAFIACAECMASgABaAAFIACUAAKpJgCAMAUMxzdhQJQAApAASgABaAAABBjAApAASgABaAAFIACKaYAADDFDEd3oQAUgAJQAApAASgAAMQYgAJQAApAASgABaBAiikAAEwxw9FdKAAFoAAUgAJQAAoAADEGoAAUgAJQAApAASiQYgoAAFPMcHQXCkABKAAFoAAUgAIAQIwBKAAFoAAUgAJQAAqkmALWAeDrr79Ot9xyS0wbevXqRe+//36KWYXuQgEoAAWgABSAAlBAjwLWAeCSJUtowoQJjr3j0LdixQp64IEH6Pbbb9ejAEqBAlAACkABKAAFoECKKWAdALrpX1paSieccALt3r2bli9fTo0aNUoxq9BdKAAFoAAUgAJQAAroUSBhAHDs2LH0s5/9jAYPHkx8mRgPFIACUAAKQAEoAAWggJwCCQOAQ4YMoenTp9Nbb71FAwcOlOstckEBKAAFoAAUgAJQAApQQgDgjz/+SKeeeioVFBTQ0qVLKT09HdZBASgABaAAFIACUAAKSCqQEAD48MMP0yOPPEJ33nkn/fGPf5TsKrJBASgABaAAFIACUAAKcAWsB8DDhw/TySefTBs2bKCFCxfScccdF9e5AwcOxE0jm+DQoUO0detWatiwIVWvXl22GOQzqAA8NCi+xqrho0YxDRUFDw0Jr7la+CgmaHZ2tlgGn1JbD4DTpk2jYcOGUe/evWn8+PE+yeC9WA6X69ato8LCQrLFRO+tR0quADxMjnEAHxPfR3iY+B5iTk1cD60HwGuvvZbGjRtHL7zwQggETT+YsEw7oF4/PFTX0IYS4KMNLqi1AR6q6WdLbvhoixNi7bAaAHfs2BG6+69WrVq0cuVKysrKEuudD6kx0H0QNeAi4WHAgvtUHXz0SdgAi4WHAYrtY1Xw0UdxfSzaagB8+umn6Z577qFf/OIXoUMgNjwY6Da4oNYGeKimny254aMtTsi3Ax7Ka2dTTvhokxve22I1AHbv3j301Y/PP/+cTjzxRO+98jElBrqP4gZUNDwMSGifq4GPPgscQPHwMACRA6gCPgYgsg9VWAuA8+fPp759+1Lnzp2JHwSx5cFAt8UJ+XbAQ3ntbMoJH21yQ64t8FBON9tywUfbHPHWHmsB0Fvzg0+FgR685rprTEQP+XVI+/btC51gxnNUAa4J14Ofxq9WrRpkSUAF4nnIveV7wOGv3eYm4pxqt6LBtA4AKKgzBrqgYBYmTzQP+Y/k9u3bqXbt2iHYSUtLs1DV4JvEdSktLaXMzEwAQvDya6kxlodHjhwJAf7evXspLy8PHmtR3J9CEm1O9UeFxCsVACjoGQa6oGAWJk80D/fs2UMZGRlUo0YNC9U01yQAoDntddXsxcP9+/dTWVkZ1alTR1e1KEezAok2p2rufsIWBwAUtA4DXVAwC5Mnmof8yzMNGjRA5K/KWPICDxYOPzQpTAEvHvJI4LZt20JfX8JjpwKJNqfaqWLwrQIACmqOgS4omIXJE83Dik8PWiil0SZ5gQejDUTlcRXw6iHegbhSGk2QaHOqUbEsqhwAKGiGyYH+7a5D9MmGg9S0Vjr1bZpN2RnYCyZoXyi5SQ9l2osfP2fVvMKDjObIE4wCXj3EOxCMH7K1JNqcKtvPZMsHABR01NRAn7zuAF35yXYqPXy0wWcVZNLb/RtQDUCgoIMAQGHBLM3gFR4sbT6axRTw6iEA0O7hYup30W5V7G8dAFDQI1MDvfu4Ilq+syyitS+fXZ8uOg4HAwQtRARQVDBL03uFB0ubj2YBAJNmDJj6XUwaAQ11BAAoKLyJgV5SdpiavLopqqUNsqvRtyMaC/YAyU14qKI6oh/O6tkGgJ999hldcMEF9Lvf/Y5+//vfS1v++uuv0y233EJPPfUUXXHFFdLlqGQcPHhw6AtMxcXFKsXEzevVQ7wDcaU0miDR5lSjYllUOQBQ0AwTA33PocNU+Fo0APKmF49qKtgDJDfhoYrq+PEDAHIFcnNzqUePHjRhwgSV4RTK+/DDD4e+r/7BBx/QWWedFVUeAFBZ4pQqINHm1JQyJ0ZnAYCCI8HEQAcACpoUJ7kJD1V6AABMDAAsKSmh9evXhy4t5v+RfXbt2kVFRUWUn59POTk5lcUECYDr1q0jfv9eu3btZLvhKR8igJ5ksj5Ros2p1gsaUAMBgIJCmxjoAEBBkwCAegWztDSv8GBp84WbFSQACjdOMoNXD/FHkKTAAWUz8bsYUNeSuhoAoKC9JgY6AFDQJACgXsEMlxa+t65Xr17017/+lRYvXkzVq1ens88+m/785z9TYWFhZSs7duwY+t8830MPPRRaMt28eTONHj26ck/d119/Tf/3f/8X2ue2Y8eOULTt3HPPDe3dq1+/flSPeXqef9asWaFLievVq0cnnXQSXX/99aF8FfU57QEMb899991HH330EfGvu3To0IHuvPNOOu+88yLqq7oHsKL/TjZU7BPkUcMXX3yRJk+eTGvXrg19OpBHIXv37k133303tWzZsjJ7xfJu1fK4hkuXLg39Y7clYP5FjmeffZbeeOMNWrNmTegzfCeffDLddtttNHDgQNd+NGvWLLTsvGTJEsrKygql5d5wqPXyOT8AoOGXMMnmVLvVDK51AEBBrQGAgoJZmNyEhyoyxPvx6//hFpXifc075fxGyuVXAFDfvn1DUDdgwIDQ0uSiRYvok08+oaZNm9L06dOpUaOjdXHg4lDBoY5/R5ZDIodFnr9///40ceJEGjVqFKWnp4fgjedftWoVTZo0iVq3bk3Tpk0LgUnFw/fJcdDj0apBgwZR27ZtiXsyf/58Ou6440IwFA8ADx06FGoPH3scfjiwjR07NtQ+DlSXXXZZZX1VAfCHH34I1cH37HFIGzlyZATMcQCbO3duCNr4fj4OezVr1qTVq1fTlClTqG7duvTpp59S8+bNQ/l4+bw8Dr8jRoyo/Od8ufnmm292BUD+RY6rr746tG+wTZs2IS34svd7771HO3fupL/97W904403RvWDQzHXlqfnbZg9ezYtWLCAzjjjjJAXAEDlV8R4AYk2pxoXzJIGAAAFjTAx0BEBFDQpyf5ajQeAuS9u0CuQxtJ0HFIKj4DxKByHEP5wIONRpccee4yuvPJK+te//lUJgHwP2znnnBOCnfBvKPNo36mnnhr6ruzHH38cETn83//+FwK9G264IVQmf7j2nTp1Ig4/HFZOOeWUCHU2bNgQAsh4AMjbw6OX7777bghG+cMBjUfoeBSNRxgrvnXrdgo41hIwB0quB49Mhj8zZ86kiy++OKQP167ikTkE8uabb4YAjx9E4dDH280frkGfPn1CJ4Y5iHIo5k9FP/h3rD/88MMQ8PGnvLycLrroolA0lYMh15SXVa1aNdeRF+8d0DhkUZSEAiZ+FyWaiSxVFAAACg4JEwMdAChoUpzkJjxU6UG8H79UAUAeefvqq68qv4nMgYeDT9euXWnfvn3EI2UcJHgEkAMXBwy+TBv+8CXTP/zhD6Go2+WXXx5lCwcyfpCDL2/yh0MTX7a966676J577olpo9s1MBXt4bBz+umnR5Tx29/+lp5//vmI9sgAYKyGde/ePRRp5MuvKgB44YUXEgdKHiHt3LlzRJVPPPEEPfDAAyFteZ/CAXD48OH0zDPPRKSv6COPGl577bUAQJUJwoK8iTanWiCZFU0AAAraYGKgAwAFTQIA6hVMoTSdEcDwKB9vUsUBAn5XHocSvrTI99Vx4OLQvGnTpkpYrOgCX/rl0Sse5XPa6zd+/HhauXJlCAD5HrprrrmG+D/j0cKKCJabHLEAkO9B5Cd7q0a5+DLwz372M7r11lvpwQcfjACnqvcAxjsEwuv/97//HVqa5nsA+X69ioeD8ZYtx7YKyEQAeWTv4MGDIV2rPjzyx5fXOSS+8sorEf3gdd10000RWWbMmBGKTPI9l7fffjsAUOEdsyGrid9FG/qd6G0AAAo6aGKgAwAFTQIA6hVMoTSdAHjHHXfQ/fffX9maCgDk/3zMmDGVkMYBkC/Z8mXVqg+HDg4f8R4eLeP71SrS80MnLVq0iJktFgDyfW58n2HVpyIPX9auWKKViQCOGzcutK+xdu3aoaVv3na+9J2Wlhba78cjouGXOssAIAdivtwdHkms6A+PvvKlXL4UzNvCn1gXWlf0m0dWf/3rXwMA4w1Iy/+9id9FyyVJiOYBAAVtMjHQAYCCJqUYAKbKIRCRCCAfAhUnWsOHw1VXXRU6xFARLYw3shIlAsijkxzC+LI3P8gS/vAl8m+++UYZAGNFAOfNm0f9+vULfQnl1VdfBQDGG1hJ9u9N/C4mmYRGugMAFJTdxEAHAAqalGIAqFcd+0qriBaJ7AF0A8Ann3wyFEXk/83hLt5j0x5AvmTN9xDya2SqPvyE8QknnBA67Rv+8OVaHhHly8HhEcBHH300dA0LX97m+x6rPk7XwMTaA1ihK98nyaN6/EEEMN7oSp5/b+J3MXnUM9cTAKCg9iYGOgBQ0CQAoF7BDJcmcwrYDQD5HX78VC+/i45HAtu3bx/RO36tybJly0IHS/gTfgqYgxe/ciX82bhxIzVp0iT0j+IdAnE7BcxPBfM6450C5pG9WrVqOS7BdunSJbTHj0fiKq7D4XMVXxauAMZwAOQHT/hhjaeffjriWpmKvjkBIF9m53v5qvaDa8CXfvkJa15/1VPATt80xhKw4ZdKc/Umfhc1dyEliwMACtpuYqADAAVNAgDqFcxwaRWwwPe28SVOL/cAugEg/+f8NC4/ecr35fFlSx5Z5Icbfvzxx9DScLdu3ULXtVQ8HBSvu+660L5Cfm8gT88PWXDY4XvtRO4B5PXw9u/evTtUh5d7ACvaUXGAhUfiOIjyewx5WSeeeCI999xzochbQUFB6CAGv2qF343I28yhke+HDAdAftDlzDPPpMaNG4dOQ/O7Avl/eD/54wSAvCx+4IZfh8PvYeT3GVbcA8jhjx9i4YdZKh5EAA2/OAFWb+J3McDuJW1VAEBBa00MdACgoEkAQL2CGS6t6pdAOGhU/RJIxSXHvKkVX95w2gNY0RW+J44v7/IDIfx0Lr84mUfy+EXKHIhOO+20iF7zgw/8qhN+eTK/9JgfiOD18HsDK76AESsCyAvjV6jw5WcekeMAyE8s8yhcvC+BVDSEt5N/1YOXw9vAD8FURNc4nL300kshEPzuu+9C3xDmcMivsOGwy9sdDoC8TA6u/O5EfuKZg6nXL4Hwk8Y8Ghj+JZBbbrnFcz943YgAGn6pNFdv4ndRcxdSsjgAoKDtJgY6AFDQJACgXsEMl+YGVl6/I2u4+Z6A1HQbTdXv1cN4d2Gaaj/qPaqAid9FaK+uAABQUEMTAx0AKGgSAFCvYIZLAwAaNsDH6gGAPoobYNEmfhcD7F7SVgUAFLTWxEAHAAqaBADUK5jh0gCAhg3wsXoAoI/iBli0id/FALuXtFUBAAWtNTHQAYCCJgEA9QpmuDQAoGEDfKweAOijuAEWbeJ3McDuJW1VAEBBa00MdACgoEkAQL2CWVqaV3iwtPloFlPAq4fYA2j3cDHxu2i3IonROgCgoE8mBjoAUNAkAKBewSwtzSs8WNp8NAsAmDRjwMTvYtKIZ7AjAEBB8U0M9L2HDlOz16I/wM6bruNbq4ISJHxyEx6qiIboh7N6AECVUWVHXq8eOr0Dc4oO0iurS6js8BEa0aYmndM0245OpWArEm1OTUGLHLsMABQcCSYGOiKAgiYhAqhXMEtL8woPljYfzVKIAH7J4O/CSdvoYPlRGdPTiMb0zaMBhYBAEwPLxO+iiX4mW50AQEFHTQx0AKCgSQBAvYJZWhoA0FJjBJrl1cOqEcBffr4zFP0Lf85vnk2vMQjEE7wCJn4Xg+9l8tUIABT01MRABwAKmpSEANigQQNKS2NhDjyVCniFB0hmrwJePORfOeHfcG7YsGFlR3Jf3ODYKWyJMeO1id9FMz1NrloBgIJ+mhjo2AMoaFKSAeCePXsoIyODatSooVeIBC/NCzwkeBeTvvlePNy/fz+VlZVRnTp1AICWjggTv4uWSpFQzQIACtplYqAjAihoUpIBIP+R3L59O9WuXZuys7MRCfzJXy/woHfkoDTdCsTykEf++Hy7d+/e0LeXq1WrBgDUbYCm8kz8LmpqekoXAwAUtN/EQAcACpqUZADIu8N/KPft2xf6QcRzVAGuCdeDQ3E4HECfxFEgnofc21q1akX5iyVguzw28btolwKJ2RoAoKBvJgY6AFDQpCQEQL0KJEdpJt7F5FDOnl7IeggAtMdD3hJZH+3qReq1BgAo6LmJgQ4AFDQJAKhXMEtLM/EuWipFwjZL1kMAoF2Wy/poVy9SrzUAQEHPTQx0AKCgSQBAvYJZWpqJd9FSKRK2WbIeAgDtslzWR7t6kXqtsRYAP/jgA3rhhRdo8eLFxE+BNWrUiLp27UoPPPAANWvWzJhTJgb67tLD1Px1fAlEl+kmPNTVdpRzTAH4mPijQdZDAKBd3sv6aFcvUq811gEgP/l1xx130EsvvUQtW7akvn37hk4/btq0iT7//HN6/vnn6cwzzzTmlImBDgDUa7cJD/X2AKVxBeBj4o8DWQ8BgHZ5L+ujXb1IvdZYB4DPPPMM3X333XTDDTfQ3/72N0pPT49whd8Hxe9EM/WYGOgAQL1um/BQbw9QGgAwOcaA7LsIALTLf1kf7epF6rXGKgDkS70dOnSgnJwcmjdvnlHQcxsKJgY6AFDvi2nCQ709QGkAwOQYA7LvIgDQLv9lfbSrF6nXGqsAcOLEiTRy5Ei65ZZb6L777qNJkybRmjVrQkDYp08fatWqlXGHTAz0XWwPYAvsAdTmvQkPtTUeBVUqAB8TfzDIeggAtMt7WR/t6kXqtcYqAPzrX/9Kjz32GN1+++3EYfCbb76pdIRf9HrzzTfTgw8+GNclPhj9ekpLS6moqIjy8/MpMzPTr2oiyuURwHbv7nSsa/MIfPxc1AQTHoq2EenjKwAf42tkewpZDwvGbMd8aJG5sj5a1IVAm8IvOLfhsQoA+eGPF198MbTv75RTTqG///3v1K5dO1qyZAn96le/otWrV9Pjjz9O1113XUzt1q5dS+Xl5Tboq6UNe8uIzv6ipmNZc3uWaKkDhUABKAAFEkWBrrMwHyaKV2hnpAKcb2xYzeStsgoAeeTv5ZdfDn30fsGCBdS4ceNK5VasWEE9evSgFi1a0MKFC2OOKUQA8crFUgB/rSbH+ICPie+jrIeIANrlvayPdvUiuNYgAuig9b333kv//Oc/Q9e8fPTRR1EpTjvtNOLRve+//55yc3ODcyusJhN7HbAHUK/VJjzU2wOUxhWAj4k/DmQ9xB5Au7yX9dGuXqRea6yKAL7yyiv0y1/+kgYNGkRvvvlmlBtnn312KPq3cuVKKigoMOKWiYFefPAwHfcGLoLWZbgJD3W1HeUcUwA+Jv5okPUQAGiX97I+2tWL1GuNVQD43XffUadOnULr43wJOPw5dOgQtWnThvg9gD/88IOxK2JMDHQAoN4X04SHenuA0hABTI4xIPsuAgDt8l/WR7t6kXqtsQoAufxDhw6lTz75hEaPHk1XX311pSOPPvooPfTQQ3TZZZfRc889Z8wpEwMdAKjXbhMe6u0BSgMAJscYkH0XAYB2+S/ro129SL3WWAeAPAo4YMAA2rp1Kw0cOJDatm0bOgU8c+ZMKiwspKlTp4auYDH1mBjoAEC9bpvwUG8PUBoAMDnGgOy7CAC0y39ZH+3qReq1xjoA5BasX78+FO2bNm0a7dixIwR85557Lt11113UsGFDoy6ZGOgAQL2Wm/BQbw9QGgAwOcaA7LsIALTLf1kf7epF6rXGSgC02QYTAx0AqHdEmPBQbw9QGgAwOcaA7LsIALTLf1kf7epF6rUGACjouYmBDgAUNClOchMe6u0BSgMAJscYkH0XAYB2+S/ro129SL3WAAAFPTcx0AGAgiYBAPUKZmlpJt5FS6VI2GbJeggAtMtyWR/t6kXqtQYAKOi5iYG+k90D2BL3AAo65Z7chIfaGo+CKhWAj4k/GGQ9BADa5b2sj3b1IvVaAwAU9NzEQAcACpqECKBewSwtzcS7aKkUCdssWQ8BgHZZLuujXb1IvdYAAAU9NzHQAYCCJgEA9QpmaWkm3kVLpUjYZsl6CAC0y3JZH+3qReq1BgAo6LmJgQ4AFDQJAKhXMEtLM/EuWipFwjZL1kMAoF2Wy/poVy9SrzUAQEHPTQx0AKCgSQBAvYJZWpqJd9FSKRK2WbIeAgDtslzWR7t6kXqtAQAKem5ioO84UE6txmx2bGnxqKaCPUByEx5Cdf0KwEf9mgZdoqyHAMCgnYpdn6yPdvUi9VoDABT03MRABwAKmoQIoF7BLC3NxLtoqRQJ2yxZDwGAdlku66NdvUi91gAABT03MdABgIImAQD1CmZpaSbeRUulSNhmyXoIALTLclkf7epF6rUGACjouYmBDgAUNAkAqFcwS0sz8S5aKkXCNkvWQwCgXZbL+mhXL1KvNQBAQc9NDPTtbA9ga+wBFHTKPbkJD7U1HgVVKgAfE38wyHoIALTLe1kf7epF6rUGACjouYmBDgAUNAkRQL2CWVqaiXfRUikStlmyHgIA7bJc1ke7epF6rQEACnpuYqADAAVNAgDqFczS0ky8i5ZKkbDNkvUQAGiX5bI+2tWL1GsNAFDQcxMDHQAoaBIAUK9glpZm4l20VIqEbZashwBAuyyX9dGuXqReawCAgp6bGOgAQEGTAIB6BbO0NBPvoqVSJGyzZD0EANpluayPdvUi9VoDABT03MRA38YOgbTBIRBBp9yTm/BQW+NRUKUC8DHxB4OshwBAu7yX9dGuXqReawCAgp6bGOgAQEGTEAHUK5ilpZl4Fy2VImGbJeshANAuy2V9tKsXqdcaAKCg5yYGOgBQ0CQAoF7BLC3NxLtoqRQJ2yxZDwGAdlku66NdvUi91gAABT03MdABgIImAQD1CmZpaSbeRUulSNhmyXoIALTLclkf7epF6rUGACjouYmBvnV/ObV9c7NjS4tHNRXsAZKb8BCq61cAPurXNOgSZT0EAAbtVOz6ZH20qxep1xoAoKDnJgY6AFDQJEQA9QpmaWkm3kVLpUjYZsl6CAC0y3JZH+3qReq1BgAo6LmJgQ4AFDQJAKhXMEtLM/EuWipFwjZL1kMAoF2Wy/poVy9SrzUAQEHPTQx0AKCgSQBAvYJZWpqJd9FSKRK2WbIeAgDtslzWR7t6kXqtAQAKem5ioG9hewDbYQ+goFPuyU14qK3xKKhSAfiY+INB1kMAoF3ey/poVy9SrzUAQEHPTQx0AKCgSYgA6hXM0tJMvIuWSpGwzZL1EABol+WyPtrVi9RrDQBQ0HMTAx0AKGgSAFCvYJaWZuJdtFSKhG2WrIcAQLssl/XRrl6kXmsAgIKemxjoAEBBkwCAegWztDQT76KlUiRss2Q9BADaZbmsj3b1IvVaAwAU9NzEQAcACpoEANQrmKWlmXgXLZUiYZsl6yEA0C7LZX20qxep1xoAoKDnJgZ6UUk5Hf8WLoIWtMo1uQkPdbUd5RxTAD4m/miQ9RAAaJf3sj7a1YvUaw0AUNBzEwMdAChoEiKAegWztDQT76KlUiRss2Q9BADaZbmsj3b1IvVaAwAU9NzEQAcACpoEANQrmKWlmXgXLZUiYZsl6yEA0C7LZX20qxep1xoAoKDnJgY6AFDQJACgXoekS4AAACAASURBVMEsLc3Eu2ipFAnbLFkPAYB2WS7ro129SL3WAAAFPTcx0DezPYAnYA+goFPuyU14qK3xKKhSAfiY+INB1kMAoF3ey/poVy9SrzUAQEHPTQx0AKCgSYgA6hXM0tJMvIuWSpGwzZL1EABol+WyPtrVi9RrDQBQ0HMTAx0AKGgSAFCvYJaWZuJdtFSKhG2WrIcAQLssl/XRrl6kXmsAgIKemxjoAEBBkwCAegWztDQT76KlUiRss2Q9BADaZbmsj3b1IvVaYx0AduzYkdatW+foxKhRo+iJJ54w6pKJgQ4A1Gu5CQ/19gClcQXgY+KPA1kPAYB2eS/ro129SL3WWAmAu3btoptuuinKjU6dOtGgQYOMumRioG9ih0Da4xCINt9NeKit8SioUgH4mPiDQdZDAKBd3sv6aFcvUq81VgIgt2Hp0qVWumFioAMA9Q4FEx7q7QFK0x0BnFN0kP62cA+t21tGAwqz6c9dcigzPQ1C+6yA7LsIAPTZGMHiZX0UrAbJNSsAABQU1MRABwAKmhQnuQkP9fYApekEwO/3lFGPcVtoX9mRSmGvbleTRveoB6F9VkD2XQQA+myMYPGyPgpWg+SaFbASAEtLS+n++++nTZs2UW5uLnXr1o343kAbHhMDHQCo13kTHurtAUrTCYAPL9xNjyzaEyXq1muaUPVqiAL6Odpk30UAoJ+uiJct66N4TcihUwErAdDpEEi/fv3o2Wefpby8PJ39Fy7LxEDfuK+cOry92bGtxaOaCvch1TOY8DDVNfej/7p8dIOJb0cUUIPsdD+ajjJ/UkDWQwCgXUNI1ke7epF6rbEOAB955BHq0aMHtW/fnjIzM2nVqlXE/9mUKVNCkcBJkyZRWlrsv8r5YPTr4dHJoqIiys/PD7UviIdHADuNL3asavMIs0AcRP9112HCQ919QHlEunwsGLPdUc6vh9RjAFgNUvuogKyHbp5hPvTRrBhFy/poprXma83OzjbfCNYC6wDQSZXDhw/T4MGDac6cOfTWW2/RwIEDY4q3du1aKi8vt0JgHY3YcjCNBs+t4VjU3J4lOqpAGVAgZRXoOqumY98ndSuh+sH8jZey2st23M0zzIeyiiJfUAqkp6dTq1atgqouZj0JAYC8B6+++irddttt9Otf/5ruu+++mJ1CBNCKsWVtI/DXqrXWCDVMl49u0aSlLALYEBFAIU9EE8t6iAigqNL+ppf10d9W2Vs6IoCC3kycOJFGjhxJN954I/3tb38TzK0vuYm9DtgDqM8/XpIJD/X2AKXp9BF7AM2NJ9l3EXsAzXnmVLOsj3b1IvVakzARwL/85S/0+OOP00MPPUQ333yzMadMDPQN7BDIiTgEos1zEx5qazwKqlRAl49uMPHN8AJqWAOHQPwccrIeAgD9dEW8bFkfxWtCDp0KWAWAK1eupIKCgtDVL+EP3/s3ZMgQOnLkCM2bN48KCwt1aiBUlomBDgAUsihuYhMexm0UEggroMtHAKCw9NoyyHoIANRmgZaCZH3UUjkKkVbAKgB8+OGHafTo0dSrVy9q3rw5ZWVl0YoVK+iTTz6hatWqhb4DfPXVV0t3VkdGEwMdAKjDuWNlmPBQbw9QGldAl48AQHPjSdZDAKA5z5xqlvXRrl6kXmusAsBZs2bRCy+8QIsXL6atW7eGJvhGjRrRGWecEVr27dy5s3GHTAx0AKBe2014qLcHKA0AmBxjQPZdBADa5b+sj3b1IvVaYxUAJoL8Jgb6evZ90pPeKXKUBxdBi48aEx6KtxI54imgy0dEAOMp7d+/l/UQAOifJzIly/ooUxfy6FMAACiopYmBDgAUNClOchMe6u0BSkMEMDnGgOy7CAC0y39ZH+3qReq1BgAo6LmJgQ4AFDQJAKhXMEtL0/UuIgJozmBZDwGA5jxzqlnWR7t6kXqtAQAKem5ioAMABU0CAOoVzNLSdL2LAEBzBst6CAA05xkA0C7tVVoDABRUT3bCEqwmIvk6tgewI/YAqkgYkdeEh9oaj4IqFdDlIwDQ3KCS9RAAaM4zAKBd2qu0BgAoqJ7shCVYDQBQRTBEAH1Uz56idb2LbjCxml0E3QgXQftquKyHAEBfbREuXNZH4YqQQasCAEBBOU0MdEQABU0CAOoVzNLSdL2LAEBzBst6CAA05xkigHZpr9IaAKCgerITlmA1iACqCAYA9FE9e4rW9S5iCdicp7IeAgDNeQYAtEt7ldYAAAXVk52wBKsBAKoIBgD0UT17itb1LiICaM5TWQ8BgOY8AwDapb1KawCAgurJTliC1UQk/5EdAjkZh0BUJIzIa8JDbY1HQZUK6PIRAGhuUMl6CAA05xkA0C7tVVoDABRUT3bCEqwGAKgiGCKAPqpnT9G63kUAoDlPZT0EAJrzDABol/YqrQEACqonO2EJVgMAVBEMAOijevYUretdBACa81TWQwCgOc8AgHZpr9IaAKCgerITlmA1AEAVwQCAPqpnT9G63kUAoDlPZT0EAJrzDABol/YqrQEACqonO2EJVhOR/Ic9ZXTK/4ociyge1VSl6JTMa8LDlBTa507r8hEA6LNRMYqX9RAAaM4zAKBd2qu0BgAoqJ7shCVYDQBQRTBEAH1Uz56idb2LAEBznsp6CAA05xkA0C7tVVoDABRUT3bCEqwGAKgiGADQR/XsKVrXuwgANOeprIcAQHOeAQDt0l6lNQBAQfVkJyzBagCAKoIBAH1Uz56idb2LAEBznsp6CAA05xkA0C7tVVoDABRUT3bCEqwGAKgiGADQR/XsKVrXuwgANOeprIcAQHOeAQDt0l6lNQBAQfVkJyzBaiKSf88OgZyKQyAqEkbkNeGhtsajoEoFdPkIADQ3qGQ9BACa8wwAaJf2Kq0BAAqqJzthCVYDAFQRDBFAH9Wzp2hd7yIA0Jynsh4CAM15BgC0S3uV1gAABdWTnbAEqwEAqggGAPRRPXuK1vUuusHEqssLKL9muj0dTsKWyHoIALRrMMj6aFcvUq81AEBBz00MdCwBC5oEANQrmKWl6XoXAYDmDJb1EABozjNEAO3SXqU1AEBB9WQnLMFqEAFUEQwA6KN69hSt613EErA5T2U9BACa8wwAaJf2Kq0BAAqqJzthCVYDAFQRDADoo3r2FK3rXUQE0Jynsh4CAM15BgC0S3uV1gAABdWTnbAEqwEAqggGAPRRPXuK1vUuAgDNeSrrIQDQnGcAQLu0V2kNAFBQPdkJS7AaAKCKYABAH9Wzp2hd7yIA0Jynsh4CAM15BgC0S3uV1gAABdWTnbAEqwEAqggGAPRRPXuK1vUuAgDNeSrrIQDQnGcAQLu0V2kNAFBQPdkJS7CaiOTf7S6jTu8WORZRPKqpStEpmdeEhykptM+d1uUjANBno2IUL+shANCcZwBAu7RXaQ0AUFA92QlLsBoAoIpgiAD6qJ49Ret6FwGA5jyV9RAAaM4zAKBd2qu0BgAoqJ7shCVYDQBQRTAAoI/q2VO0rncRAGjOU1kPAYDmPAMA2qW9SmsAgILqyU5YgtUAAFUEAwD6qJ49Ret6FwGA5jyV9RAAaM4zAKBd2qu0BgAoqJ7shCVYTUTytWwP4GnYA6giYUReEx5qazwKqlRAl48AQHODStZDAKA5zwCAdmmv0hoAoKB6shOWYDUAQBXBEAH0UT17itb1LrrBxEr2LeACfAvYV8NlPQQA+mqLcOGyPgpXhAxaFQAACsppYqAjAihoEgBQr2CWlqbrXQQAmjNY1kMAoDnPEAG0S3uV1gAABdWTnbAEq0EEUEUwAKCP6tlTtK53EQBozlNZDwGA5jwDANqlvUprAICC6slOWILVRCRfs6uMOo/FPYAqGobnNeGhrrajnGMK6PLRDSZWsCXgxlgC9nXIyXoIAPTVFuHCZX0UrggZtCoAABSU08RABwAKmoQIoF7BLC1N17sIADRnsKyHAEBzniECaJf2Kq0BAAqqJzthCVaDCKCKYABAH9Wzp2hd7yIA0Jynsh4CAM15BgC0S3uV1gAABdWTnbAEqwEAqggGAPRRPXuK1vUuAgDNeSrrIQDQnGcAQLu0V2mN9QD45JNP0v333x/q45QpU6hr164q/VXOKzthqVSMJWAV9aLzmvBQbw9QGldAl49uMLH8sgJqUisdYvuogKyHAEAfTZEoWtZHiaqQRaMCVgPgqlWrqFevXpSRkUH79u1LWQD8dtch6jJ2i6PtxaOaahwOqVEUJqvk8FmXjwBAc+NB1kMAoDnPEAG0S3uV1lgLgOXl5dS/f39KS0uj1q1b09tvvw0AdHAaACg+/GV/dMRrQg4/FdDlIwDQT5dily3rIQDQnGcAQLu0V2mNtQD4+OOP0yOPPEKffvopjR49msaMGQMABACqjPXKvLI/OloqRyHaFNDloxtMLGNLwE2xBKzNL53gAAD01RbhwnW9i4cOH6Hq1dKE60cGOQWsBMDly5dTnz596M4776S77rqLbrrpJgAgloDlRrhDLl2TlbYGoSApBXT5CACUkl9LJlkPAYBa5NdWiKyPFQ3YuK+cfj5zB31RVEqt62bQY2fmUq/GWdrah4KcFbAOAMvKyqhfv37E/3v69OlUvXr1lAfAb9gewK4AQG3vsOpkpa0hKEhJAV0+AgCVbFDKLOshAFBJdu2ZZX2saMg5H2yhBdsOVbarRnoaLbk0nxrWwCEs7WaFFWgdAPJl38cee4ymTp1Kp556aqipohFAPhj9ekpLS6moqIjy8/MpMzPTr2oiyv12dzn1nFDsWNfmEXmBtCGZKjHhYTLpZ0tfdPlYMGa7Y5fmX5iLJWCfzZb10M0zzIc+G+ZSvKyPvLgf9pbT6R9E/77de2pNuqV9DTMd8rnW7Oxsn2vwVrxVALh06VI655xz6NZbb628+kUGANeuXUv8EEmyPN+XpNGlC5xfhLk9S5Klm+gHFDCiQNdZNR3r/aDrfirIOmKkTag0tgJunmE+TLyRM3N7Ov1mRfRyb7tah+n1Tv4Fc0wplZ6eTq1atTJVfUS9VgFgz549if8l8dlnn1FW1rEBgQggIoA63xaVv1Z1tgNlqSmgy0dEANV8UMkt6yEigCqq688r6yNvyeQNpXT1zD1RjTopN52mnpurv7EWlIgIoIMJubnezH7ttdfo/PPPN2Kj6l4HmUZjD6CMau55THiotwcojSugy0e3/WRL2R6kwtoZENtHBWQ9xB5AH02RKFrWR17VRz/upxHTdkTV2rF+dfrsokYSrUEWrwpYFQG87bbbHNs9e/ZsWrNmDZ177rnUoEEDuuGGG+jkk0/22ket6VQGumxDVhcfom7v4SJoWf2q5jPhoa62o5xjCujyEQBoblTJeggANOeZU82yPgIAzfpoFQC6SSG6BOynpCoDXbZdAEBZ5ZzzmfBQbw9QGldAl48AQHPjSdZDAKA5zwCAdmmv0hoAoKB6shOWYDURyQGAKupF5zXhod4eoLQgAJBfQ9EcS8C+DjbZdxEA6KstwoXL+ogIoLDUWjMAAAXlVBnoglVVJgcAyiqHCKBe5ewqTde76AYTAED//Zb1EADovzciNcj6CAAUUVl/2oQAQP3dli9RZaDL1rqK7QE8HXsAZeWLymfCQ22NR0GVCujyEQBoblDJeggANOeZU82yPgIAzfoIABTUX2WgC1ZVmRwAKKscIoB6lbOrNF3vohtMLL4kn1rUwSlgP12X9RAA6Kcr4mXL+ggAFNdaZw4AoKCaKgNdsCoAoKxgcfKZ8NCnrqR0sbp8BACaG0ayHgIAzXmGCKBd2qu0BgAoqJ7shCVYTURyRABV1IvOa8JDvT1AaVwBXT4CAM2NJ1kPAYDmPAMA2qW9SmsAgILqyU5YgtVEJF/J9gCegT2AKhJG5DXhobbGo6BKBXT56AYTi9gS8HFYAvZ1xMl6CAD01RbhwmV95BXhImhhubVlAAAKSqky0AWrqkwOAJRVzjmfCQ/19gClBREBBAD6P85k30UAoP/eiNQg6yMAUERl/WkBgIKaqgx0waoAgLKCxclnwkOfupLSxeryERFAc8NI1kMAoDnPnGqW9TEWAJ7EPgU3C5+C89VoAKCgvCoDXbAqAKCsYABAn5Szq1hd7yIA0Jyvsh4CAM15BgC0S3uV1gAABdWTnbAEq4lIjiVgFfWi85rwUG8PUBpXQJePAEBz40nWQwCgOc+CAsCOLAL4GSKAvhoNABSUV3bCEqwmIvmKnYfozHFbHIsoHtVUpeiUzGvCw5QU2udO6/IRAOizUTGKl/UQAGjOMwCgXdqrtAYAKKie7IQlWA0AUEWwOHlNeOhjd1K2aF0+usHEwmH51LIuLoL2c4DJeggA9NMV8bJlfeQ14RSwuN66cgAABZVUGeiCVVUmRwRQVjnnfCY81NsDlMYV0OUjANDceJL1EABozjNEAO3SXqU1AEBB9WQnLMFqEAFUEQwRQB/Vs6doXe8iANCcp7IeAgDNeQYAtEt7ldYAAAXVk52wBKuJSL6c7QHsjj2AKhJG5DXhobbGo6BKBXT56AYTC9gScCssAfs64mQ9BAD6aotw4bI+8orcloBxDYywDcIZAICCkqkMdMGqKpMDAGWVc85nwkO9PUBpXAFdPgIAzY0nWQ8BgOY8CyoCCAD032MAoKDGshOWYDWIAKoIFievCQ997E7KFq3LRwCguSEk6yEA0JxnQQEgroHx32MAoKDGshOWYDUAQBXBAIA+qmdP0breRTeYmD80n1rn4BSwn47LeggA9NMV8bJlfeQ14RSwuN66cgAABZVUGeiCVVUmxxKwrHLO+Ux4qLcHKI0roMtHAKC58STrIQDQnGeIANqlvUprAICC6slOWILVRCRftuMQ9Rgf/EXQB8uP0Pvf76dVu8rorIJM6t0kW6Ub1uQ14aE1nU+ihujyEQBoblDIeggANOcZANAu7VVaAwAUVE92whKsxjgAlh0+QiOnbafJ6w9WtuXPXerSLzvWUemKFXlNeGhFx5OsEbp8dIOJeUMbUZuc6kmmml3dkfUQAJgcPvJeYAnYnJcAQEHtZScswWqMA+CXRQdp4MRtEe2oUz2N1o5sTNWrpal0x3heEx4a73QSNkCXjwBAc4ND1kMAoDnPgooA4hSw/x4DAAU1lp2wBKsxDoAXfryNZm46Fv2raND4gXkJvxRswkMV/5HXWQFdPgIAzY0wWQ8BgOY8AwDapb1KawCAgurJTliC1UQk/5rtAewZ8B7A7u8V0fLisqhmv9UvjwYWJvZeQBMeqviPvGYAcC5bAm6LJWBfh5/suwgA9NUW4cJlfeQVYQlYWG5tGQCAglKqDHTBqiqTAwBllfMXHPS2CqWJKqDrXXSDCQCgqCPi6WU9BACKa+1nDlkfAYB+uhK/bABgfI0iUqgMdMGqPAHgd2xPXr2sarJFu+ZDBFC7pChQswK63kUAoGZjBIqT9RAAKCByAEllfQQABmBOjCoAgIL6qwx0wao8AeApedVp2vkNKUPzwQwAoKxbyBeUArreRTeY+GpII2qXi1PAfvop6yEA0E9XxMuW9REAKK61zhwAQEE1VQa6YFWeAJAnmjK4IXVtlClbvGM+AKBWOVGYDwroehcBgD6Y47FIWQ8BgB4FDiiZrI8AwIAMcqkGACiov8pAF6yqMvlSdgjkLJdDIDzRwGZZ9Fb/BrLFAwC1KofCglJA17sIAAzKseh6ZD0EAJrzzKlmWR95WRN/3M/unN0RVSyugfHfYwCgoMYqA12wKu8AyE7l8tO5Oh9EAHWqibL8UEDXu+gGE1+yJeDjsQTsh3WVZcp6CAD01RbhwmV9BAAKS601AwBQUE6VgS5YFQBQVrA4+Ux46FNXUrpYXT4CAM0NI1kPAYDmPNMdAcQ1MOa8BAAKai87YQlWE5E87hIwIoBC8prwUKiBSOxJAV0+AgA9ye1LIlkPAYC+2CFdqKyPvEIAoLTsyhkBgIISqgx0waoqky/ZXkq93t/qmh17AMWUNeGhWAuR2osCunx0g4kv2BLwCVgC9mKFdBpZDwGA0pL7klHWx1gAiD2AvlgVUSgAUFBjlYEuWBUAUFawOPlMeOhTV1K6WF0+AgDNDSNZDwGA5jxzqlnWRwCgWR8BgIL6qwx0waoAgLKCAQB9Us6uYnW9iwBAc77KeggANOdZUADYsX51+uyiRnZ1NMlaAwAUNFR2whKsJiI5loBV1IvOa8JDvT1AaVwBXT66wcScixtR+3q4CNrP0SbrIQDQT1fEy5b1kdfkdg0MAFDcB9EcAEBBxVQGumBVlckXsz2AvbEHUFa+qHwmPNTWeBRUqYAuHwGA5gaVrIcAQHOe6Y4AAgDNeQkAFNRedsISrCYiOQBQRT1EAPWqZ09put5FAKA5T2U9BACa80w3AOIUsDkvAYCC2stOWILVAABVBIuT14SHPnYnZYvW5aMbTMxmS8AdsATs6/iS9RAA6KstwoXL+sgrAgAKy60tAwBQUEqVgS5YVWVyRABllXPOZ8JDvT1AaVwBXT4CAM2NJ1kPAYDmPAsqAohrYPz32CoALC4upoceeogWLlxIP/zwA/H/Py8vj9q0aUPXX389XXjhhZSWlua/KjFqkJ2wVBoNAFRRLzqvCQ/19gClAQCTYwzIvosAQLv8l/UxVgQQAOi/x1YB4Nq1a+mss86iLl26UKtWrahevXq0detW+vjjj0P/fc0119CTTz7pvyqWAeCibaXU5wP3i6AHNMuit/s30KoLvgWsVU4U5oMCKj864c1xg4nP2RUUJ7KrKPD4p4CshwBA/zyRKVnWx1gAiFPAMk6I5bEKAMvLy+nIkSOUkZER0Ys9e/ZQ//79aeXKlTRnzhxq3769WC81plYZ6LLNAADKKuecz4SHenuA0oKIAAIA/R9nsu8iANB/b0RqkPWR14FTwCJK601rFQDG6to999xDTz/9NL3++us0ePBgvSoIlKYy0AWqiUgaDwDxKTgxZU14KNZCpPaigC4fEQH0orY/aWQ9BAD644dsqbI+AgBlFdeTLyEAkA+ufv360bJly2jevHnUunVrPb2XKEVloEtUF8oSDwCxBCymrAkPxVqI1F4U0OWjG0xMPb8hdWmY6aUpSCOpgKyHAEBJwX3KJusjbw5OAftkiodirQRAfvjj3//+Nx0+fJi2bdtGU6ZMofXr19Pvfvc7+v3vfx+3W3ww+vWUlpZSUVER5efnU2ZmMD8Oi3eU0cBJu1y71LdJdXq9d12tXe4zsZhW7iqPKvPVXnWof9Ng+q21Q2GFmfDQr76kcrm6fCwYs91Vxud61KYLm2elssy+9l3WQzfPNo/I87W9KNxZAVkfeWmTN5TS1TP3RBV8Um46TT03Nyklz87OtqJfVgIgPwF8yimnVApUvXp1uu++++jWW2/1dAqYHybh+wmT5VmxN42uXlTDtTs96pXTP048qLW7wxdk05qSalFlPtHhAPWsf1hrXSgMCphUoOusmq7VZ6QdoSmn76fakduSTTYXdTMF3Dyb27ME+iSYAjO3p9NvVkT/kdW21mF6o5N/wRxTMqWnp4cOudrwWAmAFcJwiOORv7Fjx9LDDz9MAwYMoJdeeinqkEhVIREBVB9aiACqa4gS/FVAJeoQ3rJYEUCe7sHONen6du5/gPnby+QuXdZDRADtGheyPvJeuEUAT2QRwGmIAPpqtNUAGN7z0aNHh6KAjz/+OF133XW+ihKrcJW9DrKNxh5AWeWc85nwUG8PUBpXQJePbvvJKlQe2aYmPX1WPYjugwKyHmIPoA9mKBQp6yOvEnsAFYRXzJowALh06dLQHYFDhgyhF198UbHb8tlVBrpsrQBAWeUAgHqVs6s0Xe9iPAAc1rIGvdCnvl2dT5LWyHoIALRrAMj6yHuBa2DMeZkwAMgPglx66aWh/zz//PPGFFMZ6LKNXsgugj47xkXQ/Ztm0TsDcBG0V31NeOi1bUjnXQFdPsYDQN6i4lFNvTcMKT0rIOshANCzxIEklPURABiIPa6VWAWAS5YsoRYtWlBOTk5Eg3fu3Bn6DByPAj777LN0+eWXG1NNZaDLNhoAKKscIoB6lbOrNF3vIgDQnK+yHgIAzXnmVLOsj7wsLAGb89IqALz77rvp1VdfpZ49e1Lz5s2pZs2atG7dOpo8eTLt3bs3BIH8EEi1atGnU4OSUGWgy7YxHgDiHkAxZU14KNZCpPaigC4fAYBe1PYnjayHAEB//JAtVdZHAKCs4nryWQWA/DNvHAD5Zc+bN2+mkpKS0PeA+ZUww4cPp2HDhnm6BkaPNPZEj+IBIJaAxRxXmaweX7yHFrAlef6k/VRtQc10+vuZyXlflZiywaZW8TG8pQBA/32bu6WUnluxl3YcPExD2J7KK9vWClUq6yEA0H/PRGqQ9TEWAJ7EvsM9i32PG49/ClgFgP51U1/JKgNdthULtpbSOR9udc0OABRTVsXD4VO308frIu+malknnRZeUiDWCKRWVkDFRwCgsvyeC1i+8xD1Z/PXvrIjlXkeOyOHbmhfGwDoWUW7E6q8i25LwABA/z0HAApqrDLQBauqTA4AlFXOOZ+Kh5czAJwEANRriGRpKj4CACVFl8j2p3m76B9L90bkPD4ng74cmg8AlNDTxiwq7yL2AJpzFAAoqL3KQBesCgAoK1icfCoeOgFgKxYBXIAIoE9uuRer4iMAMDi7Yi3XynqIJeDg/PNSk6yPvGxcA+NFYX/SAAAFdVUZ6IJVAQBlBQMA+qScXcXqehexB9BfXwGA/uprQ+kq76IbAGIJ2H9nAYCCGqsMdMGqAICygvkJgFO20aT1kd9dRgTQJ6N89BERwOA8AwAGp7WpmlR+F7EH0JRr7CBjcXHxsZ255tqRMDWrDHTZTs5nh0D64hCIrHxR+VQ8vNwBAFvXTaf5w3AIRJtBHgtS8VEUAHde28T4DQQeZbEuGQDQOku0N0jlXcQeQO12eC4QAOhZqqMJVQa6YFWVyQGA7qVr+AAAIABJREFUsso551PxEACo1wuV0lR8BACqKC+WFwAoplciplZ5FxEBNOc4AFBQe5WBLlgVAFBWsDj5VDy8jEUAJ1dZAkYE0CejfPQRABicZwDA4LQ2VZPKnAoANOUaloCFlVcZ6MKV/ZQhXgSwH/sW8P/wLWDP8qp46ASAbepm0Lxh+Z7rR0I9Cqj4KAqAO9gScLW0iqu/9bQ/VUoBACa/0yrvIpaAzY0PRAAFtVcZ6IJVVSafx/YA9ouxBxAAKKasioeXTt5GUzZEHgIBAIrpryu1io8AQF0uxC8HABhfo0RPofIu4hoYc+4DAAW1VxnoglUBAGUFi5NPxUMnAGzLLrWdyy61xROsAio+igLg9muaUHo1RABlHAYAyqiWWHlU3kVcA2POawCgoPYqA12wKgCgrGAAQJ+UC77Yb3cdohdXlYQqrsAvvhJ7Vdua1Dy7nNatW0eFhYWUnZ0t3Tgv9wACAKXlJZ0AeIB9Tu76T3fQhz9Gfo6xonXFo5rKNxQ5pRVQ+V3EHkBp2ZUzAgAFJVQZ6IJVAQBlBfMRAC9hS8BTqywBIwLok1Gs2OkbDtCQydujKninfx6d1YAAgP5Jr61knQD46KLd9NDCPa5tAwBqs02oIJXfRewBFJJaa2IAoKCcKgNdsKrK5HO3lFL/CVtds2MPoJiyKh46AWA7tgT8FZaAxUzwmPoTBoBDLQDAbWwJOANLwB5di0ymEwDjRWsBgFIWKWdSmVMRAVSWX7oAAKCgdCoDXbAqAKCsYD5GAIexCOC0KhFAAKBPRrFipzEAHOYAgP9jEcCeAUYAAYDyHgMA5bVLlJwqv4sAQHMuAwAFtVcZ6IJVAQBlBQsYAI9nEcAvEQH0xS03AHx3QB71yAtuCRgAKG8vAFBeu0TJqfK7iCVgcy4DAAW1VxnoglUBAGUFAwD6pFzwxU5df4AumRK9BzBoANzKloCrYwlYagAAAKVkS6hMKr+LuAbGnNUAQEHtVQa6YFWeAbAvuwj6XVwE7VleFQ+HTtpGn2yMvAcQEUDP0gsndAPAsSwC2D3ACCAAUNi6ygwAQHntEiWnypyKa2DMuQwAFNReZaALVlWZ/KstB2nAhG2u2QGAYsqqeOgEgCfkZtAXQ3APoJgL3lJPYRHASx0igEED4Jarm1BmOu4B9OZaZCoAoIxqiZVHZU7FHkBzXgMABbVXGeiCVQEAZQWLk0/FQwCgT6a4FDt53QG6bGr0EvB7LAJ4ZoARQACgvO8AQHntEiWnypyKPYDmXAYACmrvdaCXHT5CB8qP0JGfyj/y0/+omZEmfJ0EIoCCJvkIgEPYEvD0KkvAiADq9Se8NDcAHDcwj86oH9whEACgvMcAQHntEiWn199Fp/4gAmjOZQCgoPZeB/r47/fTNdN3RJX+8XkN6Iz8LKFaAYBCcsVN7NVDp4KcALA9WwKegyXguLrLJJjEIoCXO0QAdQJgvRc3VP6h5tbGIrYEnKW4BFzK/iB8/ZsSWry9lDo3zKSRbWqmxOflAIAyIz+x8ojMqRv2ldOYb0to6/5yOr9FDdp76DCNmBb9W3lS/eo066JGiSVEgrUWAChomNeB7gaAHzEAPFMQAL8sOkgDJ2IPoKBVrsm9euhUwMUsAjijSgQQAKjLmehy3ABwPIsAnh5gBFAVAI+wJYArP9lBE8I+YcYB8Omz6vknniUlAwAtMcLHZnidUzeVlLP97Ftp3d7yUGv4rtpLW9Wgt9fuj2pdRwaAnwEAfXSN6V9cXFyxSulrRclSuNeB/j6LAF7tEAEEAJofCV499AqAHVgEcDYigL4Y+/G6/TR8anR0INEAkH/TuMvYLVEarR5eQI1qpPuinS2FAgBtccK/dnidU59etpfu+WqXp4YAAD3JpJQIACgon9eB7gaAE89tQN0LxJaAEQEUNClOcq8eAgD16i5Tmtv+oPEDG7AI4BEt3wL2sgS8+aomlM3278o+v5lTTC+s3BeV/S9d69JtJ9WRLTYh8gEAE8ImpUZ6nVPjfcovvBFYAlayxFNmAKAnmY4l8jrQP/hhP13FlnyqPgBAQcF9SO7VQ6eqL/p4G326KfIewGSKAK7bW0ZLdxyq7HoF8vRgf7TUzazmgxuxi3QDwPcHNaBu9fQAoJcfJVUA/PmnOxyXue49rS795hQAYGFhIWVnZ8cdX/G8wreA40roSwKvc2o8/wCAvtjjWigAUFBvrwPdDQAnsAgg/zEVeeJFAM9pkkVjWURE59P9vSJaXlwWVeRb/fJoYGH8iVpnW3SX5dVDzwBYjy0BX5wc9wC+9s0+unVWcVTXP2d7cU5ke3KCftwuiQ0aADexCGANhQjgdTN20LvfRe9zeqBLXbq9IwCQA+ANs/fRZrZHLC20M4ztT2L/dWZ+Jv2pS07lsIsHEADAoN/Qo/V5nVPj+RfeeiwB++8lAFBQY68D/UMWAeSbvqs+MgD4BTsEMijGIRAAoJiJXj10KvVCFgGcWTUCmEQA+OrqfXTb5/YA4AT2Hl3h8B59wCKAXTVFAL0sAasC4DXTt9P47w9EDSksAR+oXMbv9kEx/fjT4YAKoc5rnk1v9GUXPv70xAMIAKDYXKgrtdc5NZ5/4e3BErAud9zLAQAKaux1oLsB4IcsAthTMAIIABQ0KU5yrx56BcATGQB+niQRQDcAnH1xI+pQL/gIYLIA4JXTttOHYSeAK8bWw91y6KYTa+sd4JaV5nUPYFcGgBWnQwGAlpmoaU4FANrlKwBQ0A+v8OD2wwUAFBTch+RePUxFAHyFRQB/6RABNAWAsf6Q6pKrZw+glwjgxqsaU80M+T2Qw9ldhh+zOw2rPo+enkM/75C8APgj21N68jtFjm8xj9aFv4tOADiYRQBfRwTQh1lQb5Fe51QAoF7dVUsDAAoo+A27yuGxhbuofP9eysupQ7WzMkKXww5tWYPa5kRGR2JFLs5qLLYHEBFAAZM8JPU6WTkVdcFHW+mzzaUR/yqZIoBuADiHRQDbG4gAxtpK0TmBAPCyKdto8vrIw0N8EP39jBy6vn3yAuDX7EBRz/HR19/wvlcFwC7vF9N6dklw+AMA9DChWZDE65wqAoDYA+i/sQBAAY1nbDxAF0+K/i7pm/3q06DCGhEl6QTAOWwP4LnYAyjgVOykXicrrwCYTHtVbAPAWIepEgkAh03eRtM2RAPgP7rn0rXH19I2tm0rSBUAz2cRwNcQAbTN1qj2eJ1TRQAwmeZVWw0EAAo4E+tS2t5NIk/Gup1e5JvXRSOAAEABkzwk9TpZAQCPKfDFkEZ0Qm7wewBj3ad5WoARwA1XNqZa1eWXgJ2uD+LqPsKWgH+RxEvAqgB4QYtsevUcHALxMK0ZTeJ1TgUAGrUpqnIAoIAf49g1Dtey6xyqPk7f9411fUUvwSVgAKCASR6Sep2snIo6ny0Bz6qyBJxMf6m+vGof3T47+hQwAFANAJ3GDR9fNdgWkk3sO8PJ+ogAYOfxxbSBXQMT/tgOgMt3HmKR3QPUvHYGDWiWrXRVUCKPAa9zqggAYgnY/xEBABTQ+E32AesbP9sZlWPGBQ3p1AaZEf881gW2AEAB0X1I6nWy8gqAyTRRuQHglywCeLyBCGCsb2p3ygnuEMh6FgGsrRABPHfiVppTFLl3tGJ8JfPVJaoAeCGLAL5iaQSQR6dHsYBA+U8fU+1ZkEnv9G+QkhDodU4VAcBk+sPah58xLUUCAAVkfIlFR37lEB25om1Neqpn5EfdY33Cqje7uFnkmb35IJ330TbXLGez8t7DRdCeJfU6WTkVOJhFAD+vEgFMJgB0G+MAQDUAHDhhK325BQAY/k5VPQRy2vidtLHkcMRrZzMAdhtbRKt3RV6W/8rZ9enC4yL3g3uemBI4odc5FQBol8kAQAE/nlm+l+7+0vlD1lUjBO77BRsQAFBAdB+Sep2sAIDHFPiKRQDbWRQB5NsuTtUUAaz/0gY6/FMUx224qUYA+324heZtPfaJvaog5MMwt6JIkQigEwBedFw2vXy2fXsAiw8epuPe2BSlcUGNarRyeGMrtA+yEV7nVABgkK7ErwsAGF+jyhSjl+6h++btdswxukcuXd3u2Gk+kQMj8ZoQLwKIL4HEUzDy33udrLwCIE+37ZomlFGt4su5Yu2xKfWLK/fRHXOi9wCaAkC3fbeTGACeogkAvdwDuI4tAddRWALu8/4WWrQdABgrAtiJRQA3VYkA2gqA2w6UU5sxmx1f3WRe0nebq7zOqSIAmEwrKzbN8eFtAQAKOBMLAO/rXJd+fXId2rK/nPhfh2v3lNHwqdEHRsYPzGMRQLFv6cYDQCwBC5jIknqdrJxKPY/t5ZrtsJcrGb6RzPv7XwaAv3YAwLlDG0XddSmmulzqZAHAs9hdeEvZnXhOTzIDg0gE0AkAL2bLqS+xZdWKJx5ABKUlAFDuj+p4/oWXij2AcnOmSC6rAHDjxo00btw4mjJlCn3zzTdUVFRE9erVo9NPP51uv/126tKli0jftKd9kkUA73eJAN57Wl36jkHfa9+UxKx3HAPAPgBA7d6IFKgCgIPYXq4vHPZyHVcnnRZdUiDSDCvTugHgPAaAbapcdh5EB977roRttI8+eDV5cAM6ua6eQyBeloB/vKIx1c2UvwaGX4bMYSjVAJBDL4dft36Hv4unjttJm/dH7gEEAAbxlqnX4XVOBQCqa62zBKsA8E9/+hP94x//oJYtW1KPHj2oYcOGtGbNGpowYQIdOXKEXnjhBRoyZIjO/guVFQsAO+Rm0PLiyA3BToXLAODn7BDIYBwCEfIqVmKvk5VTGQM+3EpfbU3ezfwvrNxLv5kTvc8VAAgAlHkBvQDgiu/WUZsWzagr+xJIVQAcwiKALyICKCN9oHm8zqkiAIglYP8ttAoA33//fWrQoAF17949ouezZ8+miy66iGrXrk0rV66krCyxU7S6ZPzHkj30p/nOewC91vHegDw6u6nYEjAA0Ku63tJ5naycSuvPNvPPTeLN/G4AOH9oPrXOyfAmsMZUY9eW0M8+jY4AThnckDrWPUzr1q2jwsJCys4We6fCm4gIoEbDqhQVCwB/YFHVa6dtoxnsVH0t9p3lvWXRJ3EAgP55o7Nkr3MqAFCn6uplWQWAsbozdOhQ+uSTT2j69OnUqVMn9Z5LlPAEA8AHAIA0sFD+x1ZCdu1ZvE5WThUn+2nO/6zYS3d+ER0BNAWA7zIAvM4BAKee35BOqhMcAHJYycESsPC7GAsAh7euQW+u2R+zTP6d9f/2wR5AYeEDzuB1ThUBQOwB9N/EhAHAyy+/nCZNmkQzZ86kk08+2X9lHGrQAYBjWQTwHEQAjfhXUanXycqpkX0/2ELztyXvXi43AFwwLJ9a1Q0+ApgKALjj2iZULS3xT5A7vS+xANDLJGArAG5np4Bb4xRwpYVe51QAoJdRH1yahABAvszDD4Dk5ubS8uXLKT09PaZCfDD68Yxetp8eWhL7kEe8et/sU4f6NI78aki8PLO3HKKh09yXnnsXVKe3zq4brxihf99nYjGt3BX5WSZewKu96lD/pmLtF6o4gMSlpaWhA0b5+fmUmSnWl0GTimnRjmhdeLM3jzh2X1kA3fCliv+uPkD3zN8XVfac83OpJTvoEvTz3vcH6aY5e6OqnTigLosAHpH2MbzAJm9uj3sP4Oph9ZQOgfT9qJiWFTuPmykDc6hj/eDhOggvl+0so74fO9+d6qX+i5tn0jM96lQmLRizPWa2oN7BbQcO00nvRW9NSJZ5wIs34Wm8zqnx/Asv86TcdJp6bq5oUxIivcqWFZ0dtB4ADx06FNr/x/cBPvPMMzR8+PC4/V+7di2VlztPtnEzx0jw4roMevoHMWCoWtzoEw/QmfUiT7rFa9P8XdXoxqXuy66n55bTv046GK8YoX8/fEE2rSmJPvX4RIcD1LO+WPuFKrY88dWLsmjFXmcQmttT7Y8DG7r+9sYMemxt9Bh/r/N+alYjzm3JPnRg0tZ0+uOq6D2/L51ygE5kS8A6ntNn1aDDFDsC98kZJVRHgdFGLsymb/Y5nyI+O6+MHm3vfLBIR/9MlrFqbxpduUj+yxgDGpTRX084pk3XWTVjdieod5B9ApgGfOnclqDaYNJX2brj+Rdebttah+mNTv4Ec2TbryMfD2C1atVKR1HKZVgNgIcPH6Ybb7yR3n77bbrmmmvoySef9NRhvyKATy4roYeXxN6zEq+BY1gE8GxEAOPJ5Ou/9/rXqlMjBrAI4JIkjgC+sHo//WF+NMh+wSKA/KqboJ+xLAJ4s0ME8KMBOSEAlI3khvfDSwRwFYsAquwBjBUB7NYgg97vnxO0tIHU9zWLAPZTiAAOaZFJ/+5uXwRwO7vr9cSxiABWDCKvc6pIBPBEFgGchgigr++ptQDIr3257bbb6LXXXqPLLrssFP2rVk3+Hi4dKj6+eA/9ZYHaKeD/9c+jfs3EDlHMYtfAnB/jGpg+7FvA4/AtYM8We92v4lRgb/ZFh8VJ/EWH59jnDu9y+NzhokvyGQAqhMA8uxOZ8O01JfTzmdE/tNMvaEjtawd3COT7kY0pN0t+/ol1D+DpjTJpEjvVnIzPku2l1Ov9rdJdu6RVDfpPb/sOgWAPYKSlXudUkT2AuAZG+rXxnNFKAOSRPw5/r7/+Ol1yySX07LPPxt3357nHCgn/zgDwQQBgSp8C7sUutV2SxBf6PssA8HcpBoB57FvA5XFWt1UBMNaXQLo1zKTJ7FRzMj6qAHgpA8DnAYDWDw0AoPUWOTbQOgAMhz9+9cvzzz9vBfxx9XQA4DssAthfMAL42aaDdMHH21xHWJARwLf75dGAFL4GJtk/6WUbAL7FIoC/cIgAzmARwBMSKAIYa9zwFzuoT5gF/TMFAAxacTP1+QGAuAbGfy+tAkAOf7feeiu98cYbdPHFF9N//vMfysgIftnJTfbHFu2mvy7co+RKogNgMnzz1utk5WR0sn/S6xkWAbzbogigLQD4HVsCrqewBBwPAD8+rwGdkW/mgnulCS1OZlUAvIxFAJ9DBNBPi7SU7XVOFVkCBgBqsSZmIVYB4MMPP0yPPPJI6Isf/PCH03UvgwcPNnYPoA4AlImg2RQBTHUA7DGuiPjVFk5PMkRx3ABwMdsD2MLAHsA3vy2hGz+L3gOoMwLoZQnYbwDs3zSL3hnQwP8ZP+AalAGQXRb9XC/sAQzYNuHq/ABA7AEUtkE4g1UAeNNNN9GYMWNiduKpp56iK664QrijOjI8yiKADylGABMdAGXar0N7nWV4nayc6uzOAHB5EgPgv5ftpd9/FX1vmykAHMMA8CYHAPz0woZ0PLsmQvZTcPyQWdpPly/bAIDJugy8mB0C6a1wCOQyAKDOqc+3srzOqYgA+maBVMFWAaBUDwLMpAMAZSJoM9kewAst2QMo0/4ALfJUldfJyhEA32MAWJy8EUA3AFxyaT41rx3sdowLPtpKn7HvxDo9sgC4uaScrpm+g77ccrTccQPzaNjk7XEPgawdUUD1s+WvwYm3BAwAdH51bT0Eso19CaQNvgRSaZrXORUA6OknKrBEAEABqR9hEcCHFSOAMgD16caDdNEkOw6ByLRfQOJAknqdrJwacwYDwJVJDIBPswjgPQ4RQBMAeNr/NtPaPc4Xus9kEcB2EhHA49/cREX7xS+QBgDKvZqqEcDzm2fTa32PfWEnHkAEtQ1j6/5yavvmZkdRgmqDnCP+5PI6p8bzL7x12APoj1fhpQIABTTWAYBv9qtPgwrFbsafsfEAXTzJ/RNIOAUsYCJL6nWySkUAfIoB4B8cAHApiwAWBhwB7PzuZlqzWx8Ario+RKe/t0VssPyUeg2LAOYhAiisnSoA9mV7I98N2xsZDyCCgi8AYORQ8DqnxvMvvFTsARR+3YQzAAA9SnbXF8X03Irob6R6zF6ZTAYAp284QEPYMpXb07txFo0fpHcDeXeXpc5UjwCePraIVu1K3iVgNwD8mgFgM4sA8LOLGlHbmuVCewBfWb2Pfvl5segrG0oPAJSSjV2arrYH8Mz8TProvGN3JMYDiKAAcAuLALZDBLByUPgBgIgAyr1zIrkAgB7VinX602MRoWRj+tanc5uLRQCnMQDk+5QAgCJKu6f1Olk5ldCVAeA3SQyA//p6D/1xbvTXbkwAYJd3i+jb3c6wPYsBYBsAoJ4XwsdSVAHwlLzq9OmFjSpbCAD00SyFor3OqfH8C28CAFDBEI9ZAYAehYp1/5vHIqQBcMr6A3TpFDsAMNVPAceCkqCiDyLjTTStGwAuu6yAmtaSPwQh2g6ePhZsywDgy6v20e2z5SKA37Il4AZYAha2cdG2Uurzgfyn4NrmZNDcofnWAWARO0x0/Fvm9gCWlB2mLWwva4va6ZWn2YXN0ZjBDwDEErBGg1yKAgB61FgXAL7BIoDnCUYAJ607QJdPtQMAU30JONa+tGQAwH+yCOC9DhFA2wDwcxYBbC0YAXyJAeCvAIAeZzw9yVQBsFWddFpwSQEAMMyO0UuPfpK0lJ1lOiE3g95mX5cK+oR+1dHhBwAiAqjnHYxVCgDQo8ZernHwUpQMAH68bj8Nn7rDtXjsAfSi/LE0Xicrp1JTFQCXswhgk4AjgN3Ycvtql+V2GQB8ceU+umMOIoBib4taatUlYFsBkF8ndIKBCOBcdn1R/wmREdVebA/4+5r3gIu67nVOxRKwqLL+pgcAetS31/gttGTHIY+p3ZO9fk59GtxCbA/gxB/308hpAEBl8X8qwOtk5VRfrKtJkiICyKIL986L3gNoGwDOvrgRtaohdghEBQC/GV5ADWvIL4F7mT+SYfxUfWdUI4AtWQRwoYURwE0MANsbAMARbCXoI7YiVPXZeFVjqplRTdcUKVyO1zkVACgsra8ZAIAe5fUygXspSgYAP/xhP135CQDQi75e0nidrJzKOpXdTfe9y910oj/g87aW0hdFB4kvdfC/4qv99GUKL33wK80/XQBwxeUF1LimPADJtDfWies5DABbCgLgf1kE8NeSEUAAoIyDRLYBIP8CzHR2r+qynYfojEZZ1LVRplTHTAGgG0Cp3lMpJUJYJq9zqggAYg+gqivx8wMA42sUStH7/S3sSgP1COBrLAJ4vmAE8AMGgFcBAD06FT+Z18nKTwDk+3juC4u0jTq+Jv3fmbnGN3RXbVeFBiYAMNal20ED4GoWAWyECGD8l6tKCtsA8Fef76SXVpdUtvL+znXpjpPrCPdr475y6vB28IdAUgkAsQdQeFgKZwAAepTMJACO/35/6PNVbg/2AHo08adkKgB4yjub6Ye9zpcTe40A8hN8Ld/YRAerFLNgWD61qhvs59aqKucGgCtZBLAg4AhgLAD8YkgjOi5bbAn4hZV76Tdzor9z7GX0AAC9qBSdRhUAeYnh71W8CFKsd/CbXYfYyfLIi8Crs1XT70c2plr8fwg8AMBIsbzOqfH8Cy8VACgwICWTAgA9CteHRQAXaYgAvsoigBcIRgDHfbefrp3hDoB+bALGRdDOA6MjA8B1igD4zpoSumHmzqgKfnZ8Lfq/7rkeR6Q/yZ5kkcn7HfYAmgDAM9ll5CtcPrsnA4D/WbGX7vwCAOjPyHEuVQcAPnJ6Dv2iQ+1QBfEAIhYA3jhzB725Zn9UQ99hp2j7N8sWkmUDiwCeiAhgpWZ+ACCWgIWGpFRiAKBH2c7+YAst3Ka+BCwDgO99V0KjZkQDQ0XTAYAeTdQQATyJTfrr2eTv9HiNAD7PQOS3LiByeesa9Gyv+mId0pjaDQBXsQhgfsARwFgA+CWLALYQjADG0j2ehKr997KH2Ov4iddWm/69DgCslkb0HYvS5WRWUwJAt/EkMyev31tGJ71TpDQPyPjkBsBcn3pZYlFMmfrd8vgBgIgA6nTIuSwAoEeNdQHgK2fXpwuPEzsF/O7aErruUwCgR6viJvM6WTkV5DcA5mSm0Q9XNInbB78S/GPJHvrT/OhTwKoAJNNetyg0L+srBoDNAYAysgaaRwcA8gY/dkYO3dC+thIAnvDmJtrMLk+u+nx8XgM6Iz9LSBfbADAZD4EAAIWGpFRiAKBH2c5hEcAFGiKAMgDotmRY0XREAD2a+FMyFQA8kV39sIFdAeH0eI3gxIpE5TIA/N5CAFTdAyfm0NHU3ccV0fKdzp+CkwHA55bvpbu+lFsCVl0CRwRQZgQcy/PLk2rTn7vmKAFgOwaA/OsZVZ/JgxtQN3YiWORZxyKAHS2KAAIARdxD2goFAIAex0JfBoDzNQDgyywCeJFgBPBttmfs5w57xnQB4Ap2JcI7LMrIbkigYa1qhq4lwR5A54HR4a1NtLEk+keEp9YBgPWy0thyV7ARQH4oJZ1dQZOVnkZPsAjgAw4RQNsAcO7QRlSYJXYIBADocbLTmExXBPDXJ9em+zr7A4CTWATwdMEIoG0AmIxLwNgDqPFFdCkKAOhRY5MA+Oa3JXTjZ/4sAfMJ+oKPt9GeQ4z+2FMrI40+YLfK3zprJy132ICf6p+Ca88AcJOPAFif7eNZy/bzBPEcOnyEfvl5MfEtBhwAr2VX0fDv3f6FfWaq6qN6D55Mf3qwCOAylwigDAA+yyKAv0MEUMYK6Ty6APC3p9ShP5xW15cIoMwS8I8sAngyIoCV48Lrqkq8QzzhAw1LwNKvneeMAECPUvX7cAvN26p+CEQmAvjGN/vo5lnun7BSWQK+nd2L9XLYvVhcjpFtaoYucHUCwLf75dGAQrETcx4lDiyZ18nKqUFu+4h0RQCDBMBHFu2mhxfuiegm/7i80zU3JgAw1ve357EIYDPBCOAzDADvlgRA1XsQU3UJeCGbR87+IPLTZTIv+t2n1qG7O/kDgB+xCOCZghHAH/aU0Sn/s+cQCJaAZUYV8gAAPY6B/gwA5xoCwNcYAN7qEwC6/UXWgX1kHBHA6MFxPNtHVOSwj0gXAOaxCOCagCKAIn+NfzuiIBQdDPLRDYBLtJTRAAAgAElEQVT/XraXfv+V3B5AAKCc87oA8A+d6tBvT/UHACee24C6F4jtAbQNAJNxCRgRQLl3TiQXANCjWroA8KU+9enilmKngF9dvY9uY0t1bo9KBBAAKBbNdNtIrgsAG2RXo29HBLMEbDsAnsW+v73U5fvb84fmU9OsMlq3bh0VFhZSdnZ8HwGAHic7jckWsM8dnvOhegSw4osd8cZsrH24bcdsoq0HovfvygDg9ywCeKpFEUAAoMZBm0JFAQA9mj2ATWJfsclM9ZEBwFcYAPK9Wm7PWQWZ9MG5DaWaJgqAqb4E7PYjogsAGzIA/MZCAFzDIoB5AUcAYwEg/2pKk0wxAHyaRQDvkYwALr+sgJrUko+ApuoS8Hw2Z/bVAIB/6VKXbutYR2kPoNu7O4FFAHsIRgABgJE/N1631cQD+PBSEQGU+kkXygQA9CjXwAlb6cst6gD4Yp96NKRlTY+1Hk320qp99KvZdgCgX4dAdhwoZ9Eetq8mrzrl+nyhqdfJysmkNiyKsM0hiqALABvVqEarh9sXATSxxygWNAEAhaYQY4l1AeBD3XLo5hPV7gF0A8APGQD2THAANPF+hg8qr3MqANDYq+hYMQDQox9+AmA5O425jF3FwiMMTvusXly5j+6Yk7xLwPyQy60swslkYKdRiZ7vVY+Gsuto/Hq8TlZO9bdm3/DdftC/a2DyGQCuAgCGpI/1/e2FLALYWDAC+BSLAP5BMgK4jEUAmypEAL18S9zrNUJ+vRd+lDuPRQD7aYgAVnwOLh5AyCwB81sPzmostgfQtgigiQi93wCIa2D8eCMjywQAetR4EIsAfqEhAvjf3pFws3Z3GV00aVvl92X5hacPsOWONHYtR8UT7yP2ibwEvKv0MLViUFV+9Baa0JPFVtr4npaaGf582kgFAHlbd/gIgAUMAFdaCIAm9hjpBsB/fb2H/jg3+oobL1MAANCLStFp5rI5sz+bO1Wfv7MvgVzv4UsgO69tEjF3htfrFr1/nwEg30ct8nzH5u1O79pzCjgZARBLwCIjUi4tANCjbn4B4AUfbaXPNkcuLY8bmEd9mhzb1B7vG6ZBAqDuJWC3u9me6plLV7St5dEdsWQqANjyjY2082AYrYZV7TWCE8tPAOAxQfu8v4UWbXe+emnRJflUUF1sD+A/GQDeCwAUe1kUU+sCwH90z2X3VNaKuwcwFgC6Re9lAJD/4X6aRQBo4pS+3xFAAKDiy+chOwDQg0g8ybkTt9KcIvU9gC+wCCD/2gZ/+EW8DV/eGNWC0xtl0qTBxw51xKs7kQHw12xv43/ZHseqz2/Yzf/3spv/3R7+Y76XXV7N46Q8WMr/+4Tc6p6+s6wCgMe9vpGKS/0DwMY1q9GKy+3bA/g9i8j6vTezqtexvr8tA4C/YdsoXmDbKWSery/Np2a1M2SyhvKk6hLwV1sO0oAJ26R1q8g4ukcuXd0uPgDGumfVDQDHD2xAvZuIRQABgJGWep1T4y3hh5cKAFR+beIWAACMK9HRBPEgzGMxFA6A+8uOUONXowGQlxUeTYr30gQJgLpPAcsCoNN9fEPZ9Tr/ZdfsxHu8TlZO5bRgALjLRwBswgBwOQAwJL1uACx8bWPlF2/ijZGq/x4AKKrY0fRfFh2kgRODA0D+hyBfrnc6se0OgHkMAONfIxSuwJpdZdR5rD1LwCYuag/Xw+ucGu+3DAAo957J5gIAelROFwD+h0UAL/kpApiIAKh7CdgNACu+/elmj9N9fMMYAL7gMwA2ZwC4WwEAJ607QJdP3e466prWTKdllxd4HJVqyUQmYxMRwHPY97cXuHx/ezFbAs4XXAIW6S8AUG1sVeQOGgB5vXeyz8b9kX02rurjBoBVt9x46bltAGjiW90AQC8jxe40AECP/pzHloBna1gCBgBGCu62LBcOgCvYCenfflEcOindrVEW8f1A/IqQqpe6XtKqBv2nt78RwOYsirT7p+8mVx068fYA8o3jp79XROzci+vTjJ00/ZpFMIJ4RIAo1QFwKVsCLsQSsPCw/IJFAAcFGAHkDTyBfcXoiyH5ngHwvQF5dHZTsQjgt7sOUZexWxz1iDcPCIsYlsHtnQUAqqiaunkBgB69H8wOa3xe5bCGx6wRyfgVJ5e2ProHUFcEsCe7CPrDBL0IOl4EkGt08jubI2CP7w3ZXFIedR/fpQwAn/cZAGMtI8ab+O+fu4ue/HpvzGFjKwD+cEVjysn051S2myB9WQRwvksEcAkDskYZYodARIC3apsAgDKzHbF90wfZ9pngloB5K1vVSacFl0T/EeV2gl8GAL9hANjVIgBcxVYN8tnqganHjyVgXAPjv5sAQI8aAwCPChX0EvB735XQqBk7Pbl0GQPA53wGwGZsz+ZeBqVOTzwAbMLylrjkrSivsHY6Lb3UvgigCQDsx76/Pc/l+9scyBoGCIAcOJsjAujpPQxPZAIA3f6IcgPAsSwCeI5gBNA2AFzJALAgyQAQh0CEXzfhDABAj5KdzyKAszREAJ9jEcDLfooAlpQdpiavbooJE15O0QV5CCQoAKw4BTyC7Zf7iO2b8/IEAYCxIM5WAHxw/m5aypbPQyem+X/Y/ylkS83PrvB+IvZHFgGsG3AEEADoZdTbnWb25oN03kfBRgDdLlN3A8B3GQD2FQTA1cVsO8p79iwBJyMA8pHNT/sfV0f+9L3db4f51gEAPXrgdF+fx6wRycIBcN+hw9T0NWcAnDe0UejajQs/3kbLd5bFrCrIJeCgALBiD6AQALZmEcBe/u4B9BsAm7MI4BLNEUA+hmZuOhgxhjqwfVLLi2OPq/AMJgCwP4sAznWJAPJTuQ0SKAIY607DCp3j/QEhM9+YzvM5A8DBAQNgvaw0dpF8k6iuuwHg//rnUb9mYnsAbQPAFSwC2DjJIoDcQH4o7vOLj/4W4tGvAADQo6a6APBZFgG8/KcI4F4GgM1cANBjs0LJggTAN/vVp0GFNUSaFzNtvEMgIgB4OQPAZ30GwMavbKT94Z8tCetdvB9wL0vALRgALtYMgE5jt0M9BoBx/rAIN27dlY2pTvVgJ+EB7BNiX7FPiTk9QQMgP3XcQiESkar3AM5iAHh+wABYOyON1l8VDYBul7jLAOAqFgE83aII4HKXq2+0TdRxCvJjD2BFlVW/nhVUn1KhHgCgR5edoiges0YkCwfAPQwACwGAjpfzykQAhzMAfMZnAMx/ZQMdLHd2XgcAHsc2sC9y2MAuM9Yq8jhtXziRAeCyBAZAftdbXvohWrduHRUWFlJ2dvwIjsohEACg3Ag0AYB8p8KWa5pGNdgNAN9hEcD+ghHAlQwAz4gDgIePHAldGaUzeuU2hpMZAIO8HF9ulCduLgCgR+8uYston1ZZRvOYNSLZM2fVo+Ftjp4C3s3uA2n+uvMSsEjZiAAeVWsE0/XfTN94j9e/Vp3K8RsAWzIAXKgZAJ0OMPEN1l/vcP7MmlO/17MIYO2AI4AD2Tdkv3T5/jb/waufQACYqkvAn7E58wI2d6o+Xr8EUlGP0x9jDV/ewL6+FN0Smcvt4wHgu2tL6Hdf7grdVNCpQXV65ez6StcIVbTaDQBVv1Wt6o/XOVXmj7Ag70ZV1SHR8gMAPTrmBwDuYgDYIsEAcEzf+nRu8+CWgEdO204Tf/R2CGQkA8CnfQbARuxHxO0ePx0RQLcrLDwOU8dkTndYAgDFFFXdjJ6qAMj3nvLVE9XnSXb35zUevgXsBoCxrtyS2dfM7yY9c5zzIZAFw/LZHYFFxL70Wfl0a5hJk88/9nlPWT3cAEr1SzWy7anI5ycABnk1lqoOiZbfOgB86623aM6cObRo0SJavnw5lZaW0lNPPUVXXHGFUW0vnrSNZmyM3Egv0yAeoeKRKv4AAInc9gDe0bE23d8lh0QA8Iq2Nempnv5GABu8tIHcbnLRAYCt66bT/GF6r4HRcYn5BhYBrBVwBHAQiwB+4RIB5Jve61ULbgkYACgz21Ho8JEOAOSXv1+rAIATf9zP5pIdjp2Q2dccCwBv7FCLnlkefcJex119AEC5cYhczgpYB4AdO3YM7evJy8ujmjVrhv53sgJg8cHDdNwbibUErDsCeOecYvrPyujJUgYAr2QA+C+fATCPAaDLGZCI7zc7vW5eDoH4AYA6PmO48arGVDMj2EMgsdoNAEyMn7RP2R/NF7E/nlWfJ87MpVEn1CKvS4hV/xg76e3NtH6f8+ZdGQBcziKA3V0igA2yq0VdUs/7P+OChnRqg0wlKdz6r3pRuVKjWGY/I4BB3o2qqkOi5bcOAGfMmEGtWrWi5s2b0xNPPEEPPPCAFQA4hE1i0zVEAJ/umUsj29YKjRMAIPtup0YAvIoB4D99BsD6DADDl3bCX3i+z6dbo0zXC1m9AGCbuhk0jy0h6XySEQD5vWe5iADqHCa+lPXpxgMMAN2/fe210v9jAPgzBQCs9+IGcr6+nUjmj1rbAFD1onKvPril8xMA/bgaS7W/yZLfOgAMF9YmABzKAPATzQC4k0UAW/oQAeQbkF9ZXULp7MJfPmme3+Lonj1+Ku2f7FNkE344wCClGt3esQ71ZVdtiDxvsD2A5wWwB1AmAnh1u5o0uoe/S8CxAJDryDX/b5/6dNFx0fskvQBg25wMmjtULwDGWkr16v0mdq1GDXa9RpBPLHDly2k5ggDodgjAS5+wBOxFpeg0ugDw8TNz6LoTaktHAGNFDmXmtGXsAFUP9j1ypyeP3Vm3nc3tVR8/I4DJDIB+3IwgN5qTLxcA0KOnugCQV3cZu67kF+1rE78G5mINfx33YN8CnvDTt4DHf7+frpl+bK8L/8nm1xzwi04fXLCb/r54j8ceOyeTmSxjVRjvHkCRPYBBAGCsSEJFP3Mz02jNiMaUXi0SmLwAYDsGgF9pBsBYp2m9DgYTABhr76IMAKqA8EIWlW3JorOyT6oeApnBIoA65rjHzsihG9icKbsEHCvf6+fwP2qz6WX2R/MHP+yn/BrpdPOJtYkflHJ7+An6noIA+OmFDemUPH+WgFWvKZId1xX5/IwA+nEzgmp/kyU/ANCjk8Mmb6NpG9QPgXisTihZOAA6XfkxqDCb3uyXR03Zt2j3xfkWbbyKgwJAmQjgNSwC+KTPEUCvP0DjBuZRnyaRd9N5AcDjGQB+qRkAY12oHM/vin+/mUUAswOOAMYCwNXDC6humtghEJXDMABAryMlMt30DQdoyGT1JeBHT8+hn3fwBwBfYwD47a4y+hP7ZGL4H3EzLmzk+hmyWABYn0UAdzhEAP0EQNUItZy7x3L5CYB+3Iyg2t9kyZ+UAMgHo+5nxIzdNH2T93vTdNcfq7wzG2XQe31zQkkKxjhPtptH5Ln+O5G2vnRWHRrUTO2vWF4fX45mn0Kmu+ftozfWRoP1be2z6Q+n1qJRn+2mj9Z70/2q1ln0WLfacbvDT5YXFRVRfn4+ZWaK9cVN36qVPnVmbRp2XFbEP2759nb2FZHYzWvHTgHPHJwbtw8iCQZP3kXzt3v/7JtT2d9fVp+y+fp2gM+Qabtozhbndi+9uB7lpJcJ+Xjx1F30xVY5Heacn0s8EiH7DJhUTEt2xDafv6PJ9ny6qZQun6G26sA1ebBzTbq+XQ3Pc1hVLWO9ty+yOe3eBfvYIZHIZdt7T61Jt7R3vvKKX6Le9+NdjnbVZysAO9gF0FWfqYNy6CR2AbvK49aPLy/IJf4VIVOP1znV6/wZ3o9WdarR7PPjb+0x1XeZer1cXC9TrmiepATAtWvXUnl5nF9aQaV+uSyL5uw094LFau5pdcvp2ZOPQlTXWUevmKn6PNDuIN2/OhJIBCUIJf97+4PUO09d2ylb0+meVe7tuabZIbr1uEP02+WZNGOHt0lzaMEh+n0bb7Ao0/dY+lYt789M73MbRep01uwadOBwbIhqWfMwvX2a3j9gRi3Ooq/3qI3dz7uXEP/CQpDPL5Zk0YLdzu2e1K2E6ouxO/2clbfQpbx4/RrbeT8V1nA7RhAvN9HVi7Joxd7YHsztWRK/IE0p2N9ftJ/xjt+fj/1iZzW6bVn8r7TE69ZvWpXS8CZlrvNb1fxVtXSbF3m+R084SHetdJ6L3DxZvTeNrljkDIc5GUdoV1n0e/7aqfvp+NryYyjW/PNel/3ULFut7Hge6Pj3sXxwK795jcP0bme9c6KOvsiWkZ6eHjroasOTlADoRwRwJIsAfpLAEUBdg01XBPD9Hw/Szz/f69osmQjg1W2y6NGuiR0BPD4nnT49T28E8FwWAVyoGAH8gUUAswKOAA5lEcDZLhHAr4fUo7rVEicCOJBFABdbEgEcz969+1jEa8v+I9StYQY916MO2/fmD91PZxHAERoigH/uVJN+foI/EcAXetam62Y5z0VuUdmvWQSwn0sEsB6LAO50iABOYxFA/glGlcctgvYFi1DzwxKmHj8jgG1YBHAWIoC+WJuUAOiHUpdN2UaT19u/B9DrHjVZjfh+mYpTxbJl8HxVD6tULatiD+AV7EsgEzx+CeQ6duL5cXZdRLzH634Vp3K86vtcr3rssE9kNNbLHsAOuRk0e4jeU8DnfLCFFmxTi4yauGfsgo+20mebSx3t/HZEAdWm4PYAzmf7Mluz/Zmyz9nMg4VxPIh3kbhs3eH5vt11iLqxb9iGX2Wk8inJeG2axvYADtOwB/Cv3XLoFnYww+v7V1XLWPleZtc3hR+cC++TmyeLt5dS7/edb1Dgh8CKHQDws4saUccYB0viacn/vVs/VPeoeqk7Vhqvc6pX/8Lr8uNgnGp/kyU/ANCjkwDAo0IFBYC/Yl8C+RP7EogIAF7PAPDvlgDg8wwAL5UBQBYhmH2xfQDIr7aYwj5l1UrhJKzHV60yWSwAXMMAsBYAUFRSuuuLYnpuRfTF69+NbEz1mMe6n6nrD9AlU9QPgTzYtS7delKdhAbAWQwAY50s9qK9G0Dxz88F+W5Wbev/t3cd8FUUW/9QQgkkpBAIvXelSBVBURBEQAUEVGxPRcXeOxb0E3t9lmcXC2LBAoogvXdQsSBIlRI6hB6Q7/wXFjZ7Z+/Otns3lzm/n09f7uzOzDkzs/85NUgAWJ8vxbN8vhTL8PpEaKMAoKSU+7EGcIzSAPoGAL/jdDWXG9LVmMXgBgAOYAD4rA8AcOu+Q7RoS56WOBa+UtCW4L+bZyVR7WEbpFaMCADKRGHDRDTdBgBeN2UrIQqxUKFCBE8jZJtpwIfkm6dnCMcmk4JEZlLXNihFz7Sx17DKvEumDUqIoZSYiBQAlOFgZJvKnAlglyATwMwLylGDdOu0J+56I/qJAWAfHwDg4y1S6WbOWyqrQXKiAfyA83ZeOUlcJs5KA7ho8wHqMNJZDlUFAK01mNHWF862mQoAut2CUZ8LHQAcOnSoVgsYhFrAP//8M7Vp04Zq1Kih/a1bt27UvXv3QJgR7aX9xm2hMWvC6YhqTAMje0C6ZeBHbALucTSxtNt34Dnk27psgvjQxe+uACADlGclAIrdbdXKbPUl51OU1Wa41QBCQ4APRTQ6e9RGmrspv0m3edkkGt8j8rnDjGDTP1jnRVT5no2FmRId/rhmL100znp9LGcNYLIDDeAWBvW1JMG7iFnzepWj2mXcA6SwmICtLiFhB4CDGQDeEhAAfL9DOv1n0jbhHvETAE7nfd0oIBOwVxcFrweE3Zmqv9/N96lhAFYRr/NNlOdDBwAHDhxIw4YNs+TvvffeS/fff3/M+R9mANi2fDH64dwsjSduNpgTZvoFAEcxALzUZwAoq6GyO6wmsN9SL4HfEhJqy2oz3AJA+AjBVygadWIAOM8EAFuwdnJc98jnfmVNYXuLhLVO5K63jQUAnJmzn7qP3mxZcxljcQoAN+w5RPWHy2lvT0QAOKtnOaqf5h7gWq2lsXxp7suXZ6/0GANAVC6SPd+caADfPSOdrp4cWwC4i4sA/MxWBpg3M0vIB29Yzd/rBcWrfOzOVC8AUMYq4nX8J+rzoQOAYRXERXyI/RhSDWAsAeDAhqVoSGvvZsDvGQD2jwIA3QSB+AUArZLXfs7JtGU/ZkECwI4cUDDfFFDQkgHgTwIAeBWbtkas2OvbtooFALx28lb6fHn0McNnreThA7RmzRqqUqUK2eXVymEAWM8DAJzLGsA6rAFE9Z6VuYc0k3tRU6WXaEx2qwFEvfC1u7k/1oIUZpO/V7LSAAYFAGE1weXZKz3aPJVuaxwMAMReHTDFGQBcyCbgMx2agGewmb0hm9lxwew/fivnBD2suXA8fTTJtRWP4O7x9h+7aNO+f+kHi4C4RAaAMlYRr+vrRH1eAUBJySsAeJxRP55bltqU95ZT8IfVe+kSPgStyI0J+Do2AT/tgwnYqn7pcAaAsh+zd1ircGFN51HAjVkDOMVGAyiK6m1drhiN6XZEC2ykNl/n0J/b3SU/FskmFgBQRsuzkgFgCQcAcCNn4K77mXsNIAAgKgE9NGcHwYUuq0Rh+rJzpnRpLzcA8JlFO+mpRbmaD2rlUkXoa64uAxDqhWINAO1M+bJzeZgB4B0BAcD/MQC8LkYAEBq/OuyKYK4VvLhPeapcOjLKfPnOgww0N9IOQVSxkXf6BUWWn363C1ID2CQziSZzVRZF/nNAAUBJnl7Mt9jRIdUAtuGP/49HP/4yH0/JKVs2u6xOMr3azltmdrsPgxsAeD1rJ5+S0E7aHVaT1+2n88dsjpj/sI4ZdHEU0Gp8wC0AlDnsREEdxjVgHEfrETm0hMtc+UUFFQBuYgBYxwMARL1Ys8a6DqeFmStZts8pAJyzcT91/j7/GrTS8jqRbUEFgINOSaU7mwSjAXyjfToNnOpMA7hg0wE6a5SzIBD4WUKLh+AmM916Uml6rOWRak5GQu121HC3ozlswq8bgAnfrl/9d7szVW/n5vt0dqXi9EXnsrJDUe0ccEABQElmXcL56KzU75KvCKyZ0f/LzQZzMzCvQMDONOQGAMqap+0OK0Seig5p1EGOprX0AwA25dsuapBGozO+26j5DxnpVPYDHX3UD9T491YMAP9SAJC8BoEg0Gq6ICehrOlNJhLbuKesfI6h+UzzkK7FKhdlUCbg0azpl700RVvzDzEAvCsgAPhauzS6cdp2YfdW55xbAAjT8Q2Cvk6vUJy+OycS5Mie54kMAC+pnUyvM0hX5D8HFACU5GmYAaBRayR7YEhO27KZVwBo5xzuBgDe0KgUPdnK3j/RDgBOZQDYQ3BLF2mBrBhk1ABW+XidVvcYPj921IyjeScKonmNz53OQR2/sF+QkYx+oMa/t2QAuFQBQEJqn5oeooCt5Daqa1lql23vDiGSmfmdxj1ltY+tTIV260r/3QoAzmYNUr0ANEh2rh6y436wWQrd3TRVKggkgwHycgbKRop2Lr56WhrdPN0ZAJzPGsCODjWA8AEEABSBTREARKBI5Y/XS7EoKPlJdc6N7M5U/T1uvk9+WJxk53GitVMAUFLiThISS77St2bGMHk3G8zNQLwCQLv8YG4AICoFoGKAHdkdVtM2HIlCNROSYEeLXDa2NwLAjA/W5qu8EG18pzAAnGADABHVi+heIxlTARn/3uKrHFrGfkR+kVe5241DNm3NmksrUNIh+SCQbRxMUeNTuY+p3RiNv49krU171t7YUTuWGZz5o1EsAKCVCTgoAOEXALyfAeC9LgHgv5wKKSNKKqRXGADeEgMAiPROqCAiCwBvnLaNPlkqVx86KA2u3brWf7c7U70AwP7scvSaR5cj2XmcaO0UAJSU+KVsAh4lWZJM8pW+NavHvkizj/oiFRQAKFMhAGbNFQxeNqBqvQTdxADwCR8A4AwGgOcKAOBQLhkVLXm1FQBMf3+tlkhahqzy+eUDe9/k0G9ci9RIVuW8TvlyAy3nqFW/KGgA+MZvu+h+DrSwo38YABZ1AAARTVs9jgDwNIHMzHOMBQCMtQbQLtrfTs767/c1TaH7mslpANOLF6IVl1Q89mq7pM0vtU2j22Y40wDOYw1gJ4caQKR3+sUBAHRylp/Bl5ClXOavXMkidDebyrv5kKtVVjZoFyQAvJhNwPDTVOQ/BxQAlORpmAFgTS4CvuDCbG0mTg4NyakLm3kFAn7VCDUO7mZ2pH5c4EhtnoDdYYU8dF1/iNQARqsZau4DucV6H40CdiITGQDYlsHE7yYA2J591EZ2jYwCbsYAcEUBAoDVPllnG/EIXq+7rAIVPiivAdxx4F+q9kn8NIBtORr79yjR2MU5FVzO5ZWOLaNYm4Brc4k/aMrasjkbWvQyxfwpC2eX71P2DLqXAeD9kgAQtXhX9j8OAC+fsIW+W2WdxP9Frh50+0xnAHDuxgN09vfOgkCmnJeluW7cJPABBID71uQD6OTcMPKxCOeWmdAjSzpCXVYG0dqZz1RcuB7gi9wsPktRYWYwl/VELW03c+pXqyT9z6LKkR9jP5HfoQCgpPS7/rCJZuaIC9NLviKwZlVKF6Ff+xQsAGiVbNkLk25hADjYBwCIQ+scjwBQNwHLmjT1eVsldDbyRQQmRB8QPNOUASDy1vlFXoG/3ThkPxAbLuMP/MH90nkAdzIArBpHAGiXjqcTRzp+aYh0jDUANMqlQ8Xi9E0X71GXm9nv8skFufTeksjaw3brwPw7tFoPciCIzPoowwBwlQEAdmGgNpsBmxU9f2oZunOmWOtstd7dAMDJDADhuhE0AMQ8L6+bTK+cFjutmRkAdh+9iaYZgqYqJBem+VyvuOJHzi9hfWuWpLfOEJe5dLqOVPv8HFAAUHJFwJE/N0/WkCf5Up+aVeTN9Xu/I07PMgekH916BQJWyZa9jM0qlYL5nXYawNkMALsIAGC0mqGicZ9fvQSxH7ej6HGZVB+nsjbpD5M2yeqj3eSLDbRqV+IBwJzLK9LhPHkAiATOVSQd6p2sQVkfQLt0PJ0rF6fPzz4OuuIJADH/3/tmU0XOPeiWhv+9R0utghyGfjUPvmMAACAASURBVNBdnAPwIc4FKHO+pTIAXG0AgOcwAJwVBQA+26YM3T3LGQAUpemxm+ck1sot3hYbAIixeD2j7eZj/N14pv6eW1iYIseJBcX47gsZAL6jAKATcUi3VQBQklVhBoBISrv04oIFACet20cXjPFeIcAoPr8AoNXtPlrNUMllZNusVVYxGts90pRrfFAEJs5krc3XAq3NyQwA1yQgANx0RUU6dEAeADqJqLQVkqGBLAC0i8Y25zqLNwB8j10YepkSmcvyZTeDbQTcsNLVN9IrA0kBwCQGgJceNwHbAUBU4rh3drgAoFUmAicMjRcAzB4mPtcR6YwUW06pV42S9F4HpQF0yjeZ9goAynCJ21RlDeDOkGoAjT4vMgek5JSjNvN6uFhV2/AyNj1y2O4ddhpAKwfvaDVD7fqU/d2qoofxeVFuv45sQvxKkCz1pM830D9cSswvMst9L5fFALjKYudzP0h2/W5hAJjnAADu4Tw8bsxPdnOSBYDNv9pAf++0loMRAKL0WyOWm4i8pIFx4o7gBQAO/Wu3ZVStHT+tftf9e2XWRwoDwDUGAGjnvjOEfR6tAo+szjmrTAHR5jeRNYC/SWgAkYi+99jNWsUZL+T1jHbSt/FM9RsAXlC9JH3AAXiK/OeAAoCSPA0zADQeeDIHpOSUAwWAVsmWvYxN1xLYvcMOAFrl+IJf3zUWRePt+pT93aqih/F5kTbJ7EOmtw8KAAJMPLkwl15ZnEv7GdcgDc0nZ2V6SlKMMcuu361XVqQD++U1gACqFT5aJysG6XayALD2sPW0matAWJFRfogUPf07cYCBFwD4wi+5NHi+fVUJjNELAHxk7g56efEuaR7KNNRzfMqsj1JFC9Fa+IgeJTsAiKCXBy0iz61A1BUTt9C3K60DS0RzmsCafQBAUc5BowvHNVwL+0ubWtgyPEsUAHhetRI0lM8WRf5zQAFASZ6GGQCWYOXLhqMRhDIHpOSUAwWAfpg4zAO8o3Fperi59zyAVln+oxWN94OneIdVRQ/j+0W5/azKJTUavoHW7vFfAyiq8NCXo/Xe8hitJ7t+tzEA3H8UAGZXqkwpySWjimAfA8DsAAAgqjfAtBWNZPo2anCjpS1xCwAR4VuPS+GhFJkMGaPYZdob2zw6bwe99Ku/AFCv8y2zPpIZAK5zAAAfb5lKg+aKgbEViCr34VrHJu7xDAB/lwCAMnOUkUmiAEDMdVX/Cr5Fpsvw7kRpowCgpKTDDACNKST8Ojzs2OL1cHFjQrEb050MAAfZAEBornTgUKVKFSpRokTEa5Gt/8yRkRqYt7ho/LUWRePtxib7uwwAFOX2MwcR6P01GL6e1u+R++jLjFGXu1VpM6/rQnb9op+VW/fQNZM206KdRagmpzF5hp35O1SMlCfmtZ+rsJQf6r8GUAYAyqY80nlntf4wj1/7lKcqpYvKiCpfm9W7DlLjL3KknwsbABxQvxQ9y+laZNZHSc6Dsp6DhHQ6lzM4zIiSwQFl5qzq7Q5ukUq3nJwSwTeZcZgfGscA8I8TAABWYB9AkfXarQ8g+PgLr/uqLta99II/QRsqACgp+DADwCRO2bXpiiM5xNwcTJIsyNfM64d+Oidb7iZItuxmLPozeqSg6B1ISPvkwp0E/6oulYrRTdnbqE51MQC00sD8jwHgdTEEgEiCPZH9gZDmB2leiiHBF5Mot1+XKiVoeKdIM0n9z9ZLJ9KW4b0ud6t15nVdyKzfwsyGrVdWok4jc2je5uMJsaEJ/5nzYZZPjvRHzONw1KwP4wMAZZJAg/fIbZhclNNlRCkz5vZDuDL3IKcEKrgA8D/1kunFtulS55vRIgK+2gHAaOv+Aa5Acg9XIDGTzDo1P/NTtyz6c7vYBGwM4nLzbtEcvO5FmfNAb2N0q6n02RYSVb30AgDdar6dzOFEbKsAoKTUq3KC2p0HPHrlSvbltBlbPGgzfxALEgC0qrbhdO7G9igWj9u8mWB2QS1Wo1N1t3IH6d2O5YUaQJRrOkPgg4Vs9EhtESTpNX1RK/lSTmCrR1LCRAgfuxIsbFFuv3MYAH4mAID1GADmSFZSkZlXGAAg1vvCC8vTyQKN1mOssblVoLE5yACwbAAA8FuOvD6DI7Cjkawf5skZSYSSdRv3HrI0Ly7ieVdPca4BLOgAUM9rJwOOzEm1u3FOuumGnHQy61xvo1cg8QMAju1WlgHgQWGATJAAEHWwp6w/QBmcLaIlZxnA+YaLMGpYiy5LmCsiuafyJZ0NJtSOL58p0DJEISMArDJ8i5b+yk/ympYo2lhQlhQaYKQsWsZ10/Wa7ajd3JCTWCcyKQAoKd0wA0BdI1KQAKBVtQ1JcQib6clizT/ePWs7vf1HZDLadRdlUHLJSN8xKyf819ul0Q2CLP5exmx+Vq/pK6r2gVrE3bnEU2NO7bLalNqlKwPAYQIAWJcB4MYEA4D4Fg3rmEkX/hSZbqJ+WlGa1bN8hEgO8emeGXIAKLOOCgIAfIx9AF/02QdQrwcrAwBRxGTjUYsIeGpOSizDZ72N1ZkiMw5zP2POLUtLGGCI6g4HBQCRePr8HzfTVr5YmAnBMsPPztSAoJE2sM9wD35mKY8VhEpTcHWoHMUEawSAVRkA+pkCCGP4s182ZQs0+05kadX2C85ZOUBg2bHyq/ajz7C8QwFASUmEGQDCMLiNfaIKEgC0qrYhKQ5hs3u4XNQDXC7KTFaH9aq+GVSmVCQAxKHZnjWGZnqNAaCokLuXMZufRU1fADlR0uJaqUU4m342a74ic/t1q1qCPmFQZCa76FOnY4cG8OOlu4XVDPAur2YnmQ8rNDwfsza0jwAANmAAOFMAABEEkfGB/yZgPzWAMrJYwNUU4O/olGKpAQwCAF7EAUZvcoCRzPowusSAT14AIALLetZI1srkQUNbuNARNwyZcZhl9CMDwL9iDAD7cDqZn9Za595rkplEk88rl2+oD3MU9yumKO7rG5aip1qnWS47IwCs/vkWYqWjr/TXRdlaneMg6Kvle+hqi+wOv3FC9EoeEqIHMV4/36kAoCQ3ZWuUSr7O92Z2pjm/O/T6obeqtuFlnHq9UFkAuKJPBqWXjgSAixkAthMAwP8yABSVcfIyZtGzyy/OpprDxHngwHeRSbE7A8CPBQCwFifk3SK4/bsd88tt0+jWGeK6qbECgHDyR1WBvuMiNYANGQDOEABAJznwnPBGBgD6mYx7fq/yWk1VpwR/0mZfefcBBB/f/XM3jWEXBQSjID1L7TL5zWRBAMA+XA3iba4GIQO8jC4x4FMPNgFPdWkCNvL5lLJJNIJzbaYVLyw1DrOMRjMAhFYtlhpAGX7pvqf6eN349xoBYM0vttIer0kMTcxbxmdiWTh3BkBfr9hD/5kkdu2RTS0WwLBi8koFACXZHHYACM1AdVbVB6HlELHIDQCEX8k9nHEf3iTzOdL2923HHfglxRC1mVMA+PeFGZSZEgkA4TPY9ptIDeCrp6UJc3j5MXbjOx5nP7ZB86zTUogAYA/OlfWRIFdWTQaAIvOP2zFDCwINqRW5WRfGd8l8sJDm432uDNBPBADTGQBeEGkCRh8y73bKl1gDwHm9ykUALpkx+wUAEUj1zKLcY12WK1mYprAGyWieCwIA6tUgZGSIWKktR32i/QSAeBfqjd/BZemq875ySj90LUvLGIiHDQCuubRCPh8/rwCwFgPA3T4DQFyKM3wEgCgNuYprpGeyX+QcLhN4xcStQnH25CTU7ydwEmoFACV3cdgBoOQ0fGvm5kMPZ2QrzZYfA3PqsP1X73Qql5oc0TVSNZwqAICvMAAUHd5+jF32HeB7Q07tss6U2sUqWWqNT9dxYEHsgpeQn6/QUTOZ7JycAsDSDADf6ZBOF42LPLQbMQCcHjIAKPLZdMMbPDOnZzmqm+bcMX05A49TPGoAof2rz3klzUFFL7FW+Mp6pY5NafD8HfTCL/7mAURd7Q/P5ETj76+1ZZ3RJxqNz2N/NjclyKw6Qkqat1kL6pS+ZwD4twUAPIsDiUYcLeUoM0eZvnFWyLxrNefYS4Xj5FHyCgBrMwDc5TMAXHlJBU3ziiCp0lzpJQlCdkFYw49xMnTZPJUKALpgciI+Up2jgLeHNAo4Hvx2AwA3cXRjHU5GGxTdzykb7jWlbIhWAuyPXulUoUwkAESqhjZfR2oA4Yj+ydI9QQ1f6r3guyi3n1W5pFhfXFCirYjLwxkMkPlgpfIHACl5Lh4fCQBPYg3ltPPz+zTZfdikGG/R6NsumRwFLM49qD/iJwCczQCwngsAuGxHHrUYEbmmreYuygO4nT++Vpov43kQBADUXRxk1ofRJzoIAOh2vYxiAAggLrpEBgEAZ/FaEZ1j5vGbkyx7BYB1v9rqe8YMBD/dNG0bTWNTPi6Ad7O/tyja3042iPgV+Q5He84qF6RdXwXhd6UBlJSSAoD5GeUGAN43ezu9+bvzm7OkiDgA5HjOLiTfvYN91RAta6X/WtwznSqnRQLAJQwAWwsAoOw4gmwHvoty+1ndVGMdvLSRE/Dq+Qrd8EHmA59arBC9ySl5LhEAQJiop4YMADbhoJ1VpqhtN7zBMzM5NUUDF6kpnK5plD28sGb+vRFPAKinOZJZH+CT8XxCFOzk9daBEG5l4fQ5lA1cwfkYYwUAETQWrf60Pn5du2Z3UYp25ht9AOsxANzhs7IEie7H/pNfhjKXL7OMeo7ZrOVWdUJwyblZkFrKyTvC2lYBQEnJKADoDQAiEXP/CWI/C0kR2DZ7kAHg3awBRB41ON6jRm00+uWCdKqaHgkA/2IA2CrEAFCU20/3kTLPN9YJzDdwCS7kKnRLMh/4NAaAr7VLF66nxgwAp4QMAIryNrrlj1VusvWcugOBGYiABVjKNPlLWbk1WI3DCwB8nE3Az/tsAtYr3cisD8zJ6IpwAX/0Jzn86LuVT7TnkEoF0dixAoCyc1jB5tV0Nq/aAcBo7h1GANhgxNaYuJ0YU+fIzlV2/Rjfh1rRNzYqLdtFgWqnAKCkuGLtSyU5rLg1k9UAwu8PNy6rMHs/J4Ak0EgG/fKvufSIRRCFsb+F56dRjYzjvkv6b07NZX7Owe5d4HudYesjarpeyFGS73CUpJmqfLyOcvNi5wNojii0m4/5d5kDOr14IXr1tHROlB15oRCltbD7sDkdo7H9N2wCtio/p7cTVW5x2+d0BreNGOQaCeAOeds2H63zW40rx8DfzJi3zSqy3WocIhNwNB9e43nwBPtYPffL8UARt3M1PqfXSpZZH3huK/ui6ilbwgIAETC0ikvyhQ0AmiNsW43I0dLVGKkTJ6L/kiOgrcgIALO5FFysyOo7hMTvgzidzTcr91IGg9s7OXCnF2u0ZdePcfxPtS5D1zdUADBWMg1lPwoA5heLDAD8mw+R7j9u8rUWbbTFMYgB4J0MAJHCBR88O5p/XhrVyowEgBh3cz4Ew0jguyi3n54mwzzmyh+t890hOxpf/uGIwtI2VQOiPS9zQGfygf4SB+RcJgCATTmv2SRTXrMgAeDXnQEAi9Nrv+2iT5ftIaSowceiT63jmmVR7Wa3awvmbZi5jXQDV6dB30Yyp6+wSm5uNQ6RBjCaD2/QABA8/oYBlMz6wJyMvqhuzH5u5RPtOZgsV3LkqSiNkg5w8bzsHP0aoznHnmi9dmET7PCz7QHg6mLZ1HuCOIOBX+M1vsfqO/QIg7+XDbkM4ZaMPIydv9/seBjPco3xAQ0UAHTMuER6QAFAawA4Z+N+enjuTr5xExXl/0EaBvyDChS/SAAxv9bJw81TtRQNsgBwTo80qls2EgA6jZj0a/wy70E5KdEh1pc1gG+xBnAnp+Cfy7Vka3C5sBqcFqjSx+t9z8kVbZxmh3KZORnbyHz8sjh1w/OnptHlgtQNzThX28QesQsC+YoBIFKs3DVrR76pfskVFjpVPhIc4icAnHJeFjXOLJavLxmnfav61k4AICpEIApYREEDwPacIH1k1yxpcLSZg5FwFoHCAgChLUbqkbABQHOVDZHPqlWlIX0t6BrAq39P4TPf5yzQNoeIKEm0aE/gkvzF8r1OjyR6gc+aqzjyOxFJmYAlpaoAoDUAHL16rzAiU5K1vjV7hAHg7Q4A4KzuaVQ/K3JjO82Z5tsEPLwIGgSYv7v+cPyGi+z9HyzZ7XtW/mjDNDuUO52SDABE7rln26QJc3chWe+EGALALxjoPTBnx7GyWfp8z+XE3J8eTczd/KsNUs74Mrya1COLmpZ1DgDn86Wg46hNMl1obUQawH/YfHmSoP4y2gcNAE8tX4xGnysPADcxAETE50d/7aHR7BsZBoK2GEFpYQOA5moXThLNGwHgqtVrqPX0SJ/qWPDeaPJHfzLniOy4kPz+CkOaI9nnCkI7BQAlpaQAoDUA7PL9JprNyTTjTY8yALyNASDKuEVLVqyPc3q3NGpULhIAOi2bFe95o398IGfmxF8GXhO2yhzc2QwAnw4JAPycy/aJKpIYQVELzr+HBMB+kFsAOJf359m8T2XJCABHcQDXl6w52c7aZatginwAcAH7AP7srw9g63LFaEw3eQA4lJP3Irlv7Lxf7Tk7ggHgmhACwF/7lNequugkyjOKPIxPtCyj8bMo5/ksyjEjiPUqzqaeUuzyAQ3gyMVracCv0VMi2XPJXQsE2JRly0A9rpKDNFQy54hsTygAcFldpQGU5VdCtlMA0BoA+rnZvCwepwBwyrllqHH5SN+OVRyp1+TL8PkAXs1mCJThCjN5Ldkks5YqJhemJ1tx8uFJkUEgzVkDOD6GGsDPOmUIE1IHBQAnsgawmQsNoNPa2zoA/PzvPXTtFHGZLOM6DBoAtshKonHdy0l/2AEG9KCYsOwX+K4iV6nZXQDjMwZZyOwBP+f0M+fYq8YuIzqJsgz0rlFScy2BBtNIeg1yAMDrJuTQtznOyxT6ORfweDjcLxxou+36f51LgF5SRwFAOz4l9O8qDUz4AeBjnK8JyUFlfQAndi1DzbIjAeBqNnU1tjB1xXORL+abupUJLp7jMva9pF82lU92X7NT5uNXid//RKtUYf1OHSiI+CHzbqd8/LRjhjAfoREAtuSAItSA9YPGd8+i5lnOTcAzNuync0fLO8ADACK5eIeRm6QCqoIGgPDtfJF9sTCegkxIUyTyi44nAFzIZURrpB4HbqIgM/gYT+ckzGvZD9RIeoUWAMBYRv9GWwOVSxWhf3b754eIpPP9DEFdBXn9mceuTMCS0ox1Ql3JYcWtmfHAD+LD6mZiesZ2WQA4/pwy1LxCJAB06jDvZqxunoF/nZsapG76cvvMHwwAKwQMAHHAoxrI79sjQVWsAeAnZ2VY5rfU94gorYZb/o5jANjCBQCcyomQkSpGllBS7zcHtbr1ueYwQKhnESgi27dVO6Q25KxSCUnxBIDze5WnWmw6BVldFC6qVVJL52UuA6jnHw0TAPR7gYj8Yf3uI17vUwBQkvOxTqgrOay4NdMP/EOcbynzw3VxG4exYz1juywAHNulDLWqGAkAG/EHzHzTDcME13KKFUT1hpnMDuVOxypzmajKee4QZb6CIyrN1JCBy4wY1gL+iAGgKB0NxhUEAEQUeKtyxfNNWyYKeDJ/vM/nhMhBkT7Xn7ccoDO+K9hauqB4FO298QSAc3uVozplkujjpbu53Np24TBRBvPH1ftoC5cDNJKefSCRAeD7XHe8Z434BLcEvRYVAJTkcKwT6koOK27N9AN//6HDVH5oSABgSy7Zc5K8CXhIi1I08OS0CB7GOneerBBzuMxaWHhtNWazQ7ns3PR2MgAQiY5RvF4U6ANw+EufbGG3Mu92Ot4PjwYbiJ7T90hrNgEv8ckEPIZzmbUu7xwATuTSiD3HBpegV5+r02hjp/xO1PbxBICoL12XNYBN2e/ZqmTh5XWT6VtOqmwu8XZx7WR6g8syJjIAxB4/n90hEpEUAJSUaiVOqLv7YJhiyiQHHlAz/cDflfcvVQ6JVuoJBoA3OQCAYI0ob10QQMEPMaDObrmQgG2r+aBoe3WDQ7nTecvwHvkNkWxaBADhBP43m8rN9CeX92sTQHm/t9k/aIBFkEQQABDJbNtIAkAjWERt7N4xAIAoR9dvXHBA0+l6Kijt4wkAUV6wIrttRHMvQfWdPFa47zJ9Ay9jzeCrXJYxkQHgx6zl715NAcCCspcCGWdFBoB7FAA8xlv94xatQHwggojyUr1mo6wJGK8y3+7y2KSdFRKTdqz550d/Zodyp++UAYCpXAt4p0Wxeb1mrLnfyyZsoZGr/M8H9596yfT+kvxVOPS+J3PS5rXsjH7HjO20gZOi+0HdOb8gzM6FOBWHTlY8M9aH/o61N6LE2X6MCe/Qz4MrOfUKym8pcsaBeALAaVxdBlHTVkm+o80E6//FtokNAIdxoFfXqgoAOlvRCdY6e+jahHVAdiMq/cDfzF7ZtYeJqwO4ea+XZ5wmgkZf5oLiazgC+OQQRgB74UssnzU6lLvpVwYARnvvNZwq5zmOFjXTmSM30sLN9uUB3Yw51s88zbVJrzPUJrXiWY9qAIuZ2vCQl+8Jzs8XFOnngVf5BTW+sL/3bE7k/sXRWrux5iG0yuVKFqFTOF+lG0KOxiz2Shi1Jv55SN2M3+4Z5PrsXCU++Q3txub1d2UCluRg+vtrQ5VUVHLYgTXTD/z1HPXXIKCoPzeDv6lRaY5W2ycdwajnsdL7CmsEsBtexOMZ3aHcTd8b9x6iup95u0xcxRn7X+DM/WZq83UO/SmIGnYzzng/gwjd6YZAFyvAgHyJZ1QsQVv4kjZ/U16EA7+f81AA0Bs3EWX75ukZ2ktiDQDRJ6pdiCqUeJtVYjyNco8dKykAGDNpLliwgIYMGUJz5syhvLw8ql+/Pg0cOJD69OkTszGYO4rHpozbZCU6fot9n/pybqSw5syTmILWBP5kCy88HjQwjfOldXeQL022nxOl3Sx2KK+flmQ7XUSPv/XHbpqRs5+z9yex72ZpunvWdle1Oo2dXcnO6i+dlh7Rv6i+qe0gQ9wAgAs8RIWR1gH4NjqdugKATjmWv/0A1lw/e1Rzrb413njp99Oo4dyBL1KJSKHTAE6dOpV69+5NxYoVo169elFqaiqNHDmSVq1aRYMGDaI777wzLnJQmzKS7dc1KEX/4YMrCOf6WApZ/3g5zZUWyzEWlL6msN9b48z8iYpFY79p2jZOO3Hcd65hWlFhXj+n8zaa0ozPiqobOH13mNqP6lqWzue8fhyEHwrqwiay9zh5dNjTFIWCWYJBGF0X1LcmXFJCmbnTK+SPvA/XCN2PJlQA8ODBg9SyZUtat24djR07lpo0aaLNLDc3lzp37kxLly6l2bNnU61atdzP2OWTalO6ZFwBeGzpRdmUxtGjjT7fQBt9ctYvANMObIh/X5xNmcjaa0EIHEK1gaBiqkTl6BItkXsGr9etppxsgQlU8sX3NE2hZxb5WwNYsusC38zouqC+NeES5/d82TotWwHAwKUyYcIETevXv39/eu211/L1N2LECLrqqqvojjvuoIcffjjwsZg7UJsy5iyPWYco9p3Mlc2vnmxf8zRmgyrgHcEXsEqposR12bWkzVO4EsWMnANUk0tOcQq/QHn9cPNUGsDaaSNV5VRFIVGWFXDJquEHxQGUUfyMay8/Mi+4YJ2gxp7I70U0fxMJq0ZB5EGoNICDBw+mF154gd59913NDGyk7du3U/Xq1al169Y0ZsyYmPM66Ci6mE9Idag4EDAHEJBTicu2zd54IF9qkBQu45abp+BYwOxXr1ccUBzwgQNeU1v5MITAXhEqAHjFFVfQt99+S5MmTaKmTZtGTBqmX+S/WrZsWWAMsXrxEk4kGwZn65hPXHWoOOCSAwCAGZxfbPD8/BqNR1lD96jpby67UI8pDiQUB17kQJDbZ4rLsSXURAvQZOAilMVpchKRQgUAe/bsSRMnTiREAdesWTOC3wCF8A/cuHFjVFkgK3kQ1PCrrbTVIgFtEP2pdxYMDtRKKcymzkK0dGeCVqp3KYbr65egSpyKBAEejy3aTWz5pUVbD1GbrKI0a9NBl29199gbp5amgTN3uXtYPaU4oDhwwnJgZd8MKgE/Fh+pRIlwRBUnJABcvnw5HTrk/8d46e5CNPDXErTjoL+Lwcm6apd+iKZtS8zbiBM+hKVtRtJh+qTZXirLga8/bCxCj/yVmM7Cbvjdv1IelS92mH7aXIR+zS1CWLt/8R66rUYePbAkkk+n8u8zA1rbz9TfT/f8WTBk0zM7j77eYJ9Kx41MCuIzKUW4Ok/xw7R8D64QihQHYseBOqX+pU+b+atQKlKkiFDBFbtZHe8pVADQLxNwUBpAsG1D7j56fuF2+mit9wM6k+srzuyeRhv3Hab75+3W0mBs2W/tG9WibFH6oH0KXT8jl6blxFaDEo/FKeqzUVoR+m27/+De6fzKlShE9bmA+n1NStIpmcfXwj1zd9HQZfstX5fGZcyGdUjVZLhql3V5sG5VilGH7CSCv9z//byH1uz2p5SYzDxfaFWKOlcqRmv3/EtdxuyQeUTYRtcAFmHt6APzd2ttuIQvremXSdnDIuvFDqhbgt7+S3zYZjDfvGjf32tXmq6aFowGsF+N4jR8hbXMRczhIF5687QUGsjrgPM0H6POlZJoUNNS1P776GbAsOwD49wgWy4N7gv90DmVdrC1ZRufh23LJdGbS/bSm3/6+yH2ZaA+vqRCycK03pCFAEqnYR1StDq97WzWg4/DOPYqWD05N3s+al8+iabmJEZFHTueIVjt3XYpdDafhX6T0gAKOBrmIBB9uACXa9asoaKZFenlPw7QqNX7aPO+I6feBdVL0n+4EsEvWw/QoLlH/J46VCxOp5RNot+25tGpXMQ9k32i4AB/UkYStc8ulq+mJ9r/e/gwTV63n/5gMNi2fDEtPcm4f/ZppXo6VS7O0aqFaR/nn2ElVAAAGplJREFUz5jA1S7G/bOflu7Io5W7DtFmPjgaZRTVkvCuzD3ICZoP0Rmcu6gMr+L//pb/w/dcmzKUyn9/78/dNIsd9EHIn4ZQ929X7aXiHLqZzv0e4rFU4MPnrx0HaSZHcILqszkPFRUqsGlvPQOEFllJdBZnSU/m06oGR3jeMHUb7T6a3wO1SLGJPvt7rxZlO/TMDJ5HYa0qwU7+UszlvpdzItvbG6dQCf59yMKdtIz7SuL+AXw6VS5BCzYf0Ph7M/uTIedgKW43kfmzaEseHeREuFDNb+HfX158ZI4X106m2ZxcOIU7zuQ5bOLfmGVcO/Zfal2uOPOIZbF5H01fv5cKFynK7YpoOZ6Sub/9PO73/9qt1Zkd2LCUNuelPJ7KHMiwkb/S+xhzP8T+azfwb8ZarOalPJP7v2bSNgZQh7RE03c1SeGxkhaFeh6X58rgFCkY+2SOjB3JdVOxelpkFaP9nNQN7c5mOdfm5Mg6YeyjWC78LyrO893B/9GZeaPz4gC/a8SKvTSJ+XIj8wk8yOJ1hr+NWLFHkxfmOLhFGarFoBWEmsevMc/G8NraxulEoFs5ndcq2hQzmDtyWU4/8hofvWYfy+0ANWNV5zz+9z9c41ZE4NUL7Mc0j+WGElGpjAqyea1A5tt53Dn8Rbm3aSq9ujiXFvOemMU8PpXXORKtYm+gDyQ3PsC8gAw78piwDiDDMTyGj/7aw2v/CNjCB6paiX+pU9VkqpJaPGqli968Fr9ifmCtoOIIZPwn+/XWSCmqpVOBTv9crrOL+VVnmQ1ZmKvNGYRygeA75If1XJL/G2Ody2PtWqWkxu+FPF/sWcgefbRnfpfktVq1dBEqzwMdv3afBo6mc6LxK+qWoiv5nMDvWP/Y39uYN8040hDnBWqO/5dlU5j7QsocyH4d7zVQV863h/6wPz9Ysls7BwCS2vFZ0rtGMn2+fA/1qZlMKGn4A8sNcr6A516U99QaPhPA8zYsF6yhJby2W/G6W8VtqzEfqrLsprM8sFfBb5wDH3Guxjq8ZlAxZ9za/drzOqEuMc4enFl38B5G3eP+dZLpnlk7tLXHr6HLea6LthygFXwmnV+tJNXiM2Lxtjxt/DgPZ6zbwwFCeyi9RBJhSYHX9/H6qMhjMRL4hzUxlnlVjMeFygwYN5KJ45y5hROJ/828HMCR/JgXCP1fy3u1FE/m46W7tfMK1JQvbCjt9TOfIVhTIOzLffz+enx+duJ3Y073zd5x7F3YP+ADKgWhn+28frBmhnJd5nP4XV8u30sD+ewz06XMD/R3F/MEhLMAf0vl82Ysn9/fsWxnM89v5vHDXxZtX2XZY38N65ipnf8gzB3nBdYC+sX6S+PF2Jzlh/P5LvYbxLFbhdcbzouT+Zwb0KC0dg48ziUAt/KaRPlovRoOvg14n5Gy+WzuwTJCpP6Z/D3QvyXgfQrvY5xZ2JM4d3CpO3/M5nzPZ7I1pCfLoks1/gYyb1Em9D1eo/tZrnWZdwgIQ6J98yUBKY0wv108gXrcDvsQ5xT2zR08L6zbW5k/q/jf36/em+/5jjzOJ1uVoWHL9tBLvx75BmCPPt6yDP//3GMy1/cO5Hopr0nUxob8sWbxvcL+aZSepI0RmQuwX1Cf2XgORwg3Af4QKg3g+PHjtejfMKaB0WWtA8AqVapQWFB8AqzDmE5ByTCm7A6sMyXHwFgbsxcrGcaM1YF2pOQYKHsDe3moACASQbdo0YLWr19PP/30EzVu3FibuDER9KxZs6h27dqBMcTuxWqh23Eo/L8rGYZfRjIjVHKU4VK42ygZhls+sqNTcpTlVLjahQoAgjVTpkzRtIDFixfX/p2SknKsFNxDDz1Ed911V1w5qBZ6XNnvS+dKhr6wMe4vUXKMuwg8D0DJ0DMLQ/ECJcdQiMHxIEIHADGD+fPn05AhQ2jOnDmUl5dH9evXp4EDB1Lfvn0dT9DvB9RC95ujsX+fkmHseR5Ej0qOQXA1tu9UMowtv4PqTckxKM4G+95QAsBgp+zt7Wqhe+NfGJ5WMgyDFLyPQcnROw/j/QYlw3hLwJ/+lRz94WOs36IAoEOOq4XukGEhbK5kGEKhuBiSkqMLpoXsESXDkAnE5XCUHF0yLs6PKQDoUABqoTtkWAibKxmGUCguhqTk6IJpIXtEyTBkAnE5HCVHl4yL82MKADoUgFroDhkWwuZKhiEUioshKTm6YFrIHlEyDJlAXA5HydEl4+L8mAKADgWgFrpDhoWwuZJhCIXiYkhKji6YFrJHlAxDJhCXw1FydMm4OD+mAKBDAaiF7pBhIWyuZBhCobgYkpKjC6aF7BElw5AJxOVwlBxdMi7OjykA6FAAaqE7ZFgImysZhlAoLoak5OiCaSF7RMkwZAJxORwlR5eMi/NjCgA6FAAW+rp166hixYqqFJxD3oWluZJhWCThbRxKjt74F4anlQzDIAXvY1By9M7DeLxBAcB4cF31qTigOKA4oDigOKA4oDgQRw4oABhH5quuFQcUBxQHFAcUBxQHFAfiwQEFAOPBddWn4oDigOKA4oDigOKA4kAcOaAAYByZr7pWHFAcUBxQHFAcUBxQHIgHBxQAjAfXVZ+KA4oDigOKA4oDigOKA3HkgAKAcWS+6lpxQHFAcUBxQHFAcUBxIB4cUAAwHlxXfSoOKA4oDigOKA4oDigOxJEDCgDGkfmqa8UBxQHFAcUBxQHFAcWBeHAgEACIRMnffPMN/fTTT7R06VLKycmh9PR0at26Nd16663UokWLiLnu3LmTnnrqKfruu+9o48aNVK5cOTrvvPPovvvuo9TU1Hzt9+zZQ++++y79/PPP2j/Lli2jw4cPa/9drVq1qHycOnUqvf766zR37lxCn1lZWdS0aVOtn5NPPllaBv/++y+988479MEHH9Dy5cupVKlS1L59exo0aBDVqlUr4j0Y38iRI+mtt97SeIK+K1WqRO3ataPbbruNqlevLtU33jNu3DgaPXo0zZo1i/755x/Ky8ujmjVrUq9evejGG2+MSFC9evVqevHFF2nBggVa+9zcXI2/DRs21NqfccYZwr4TXY6bNm2ijz76iBYtWqT9Az6Btm/fbimL4cOH08yZM7X2v//+Ox04cIBee+016t+/v5T8zI32799PL730En3++eeabNLS0qhz58700EMPUfny5SPeiYSrr7zyCn311Ve0cuVKTdYtW7aku+66i9q0aRPRPmwyxP7r0aNHVF5hL4C/suR0L/olQzd7EXM6ePAgDRs2jIYOHaqdHVgDOAu6dOmi7UeR3JUcI89U8/p4+eWX6ZFHHtH+jG8P9oUsrVixgj777LNj35T169dTlSpV6Ndff7V8hVM5Khnml+Enn3yirfdodPrpp2uYQIbcyBDvHT9+PL3wwgv0yy+/aDiiSZMmdMcdd1DHjh1lui3QbQIBgI8++qj2UatRowaddtppGsj6+++/6fvvv9cYDPDWs2fPY4zbvXs3nXPOOdpmO/PMMzUBLF68WAM6AGU//vijBrB0WrVqldYGhE26a9cu2rZtmy0AfO655+iJJ56gChUqaB/ZzMxMDWzOnj1b+4D269dPWpgAsh9++CHVr19fexfe8/XXX1Px4sVp7Nix2t+N9OCDD2pAITs7m84991xKSUnR5jhhwgQqXbo0jRkzRgNkdgQAgHegH4BHPIO/4T3g8SmnnKLxuWTJksdeNWnSJLriiiuoVatWGkBG3ziMACIBRAFa77zzzoiuE12OOhgpVKiQBtrBE1wuogFArMc1a9Zoayc5OVn7b7cAEMClT58+2gGESxHkiUMMFwVUmsHfjWAAcj7//PO19dqoUSPC4bhjxw6tPcYNQNGtW7d8cgybDLF3P/30U+Eynzx5snapufrqq+n555+32wrHfne6F/2SoZu9iEFfdtllmsxwacNHBnt53rx52tyxt8EHMwhUcow8U40LZMmSJdp+KFq0KOF74hQA6mCkSJEiVK9ePfrzzz81UB4NADqVo5JhfhkCcOFbJSKAvj/++IMee+wxTWkkQ25kiIv3tddeq53nUKDgWwDlFb7nUNb07dtXpusC2yYQAAjhlS1bltq2bZuPMTNmzNA+YAA82GA4+EBPPvkkPfPMM5qgIXCd9L/fc8899MADDxz7OwAfNHjQ3EGz2Lt3b+1jGU0D+MMPP9All1yifSChuTMCJLwYtzkcHjI0ZcoUTTt56qmnaotFnwcO7gsuuED7O/rTCRrQBg0aUOXKlWnatGn5NJrQRmJu0CABSNgRtH3QAOEjCW2RTvg7DiSA5cGDB9Mtt9xy7DdoqTC3woUL53s9brnQ/gE8QytpfB8aJrocsckx78aNG2ugGBoD/P9oABBgGh/uqlWralpVrFe3APDjjz+mm266SVu/WJM4fED63y+66CJ68803j8ns1Vdf1cA61hguUfhYgQAaIcdixYrRwoULtbnoFEYZWq1xnBfQqoLH2Nsy5HQv4p1+ydDNXpw/f74G+po3b67t1aSkpGPThBUC8r7//vvp3nvvzTd9Jcf8Z6qROYcOHaKzzz5b2z+4yOGj7hQAQpsOi8BJJ52kfRsAwGElsQKAbuSoZGgtQ6M88b2CAgXKCZwHkIMMOZUhznkokvBtxLcb32fQhg0btPMUFzxgCvN3UWYsBaVNIAAw2uSBsqGtmjhxIjVr1kzTCEKLBbMkbnFGTR8EgIUATctvv/127ANpfr8MAIT5GRoeaN3KlCnjST7XXHMNffnll9rtBRpOI1144YWa5hI3+tq1a2s/AazigMJtArcKI0Frh48BzD8wTXmhOXPmaNpIJ++69NJLadSoUQRtmBMTeCLI0cxrGQBofMYrAISsIDPchAEojYT1igMN7g06oIOWHFoi/GPWMAM0vPHGG/Tf//6XIFMZipcMRWPDfunUqZO2BrEWZcnpXjS/16sMrcZptRdhusflDRYHmPmNhDMRlpEBAwbQs88+K8sCTXMRjzM1LHKEtvjpp5/WPuK4HMO87hQAmudiBwD9luOJLkMj/0eMGEFXXXWVpqyBVs8t2ckQ7ltwvxJduGDB1DW2V155pdshhP65mANAmFlh7sTNHZoXfOBg/sKtGJvKTNDaQZuGG5fItw7t7QAgQB/Ma/A9gtBxWAJQ4qYHrYMT4IP+8PEFYIXPmK6F0ceta/TgjwKzK2jr1q3aMzDvTJ8+PZ+GBh9tLECYpqEN8kLQ/sCEDhOzlZnN+H6MCwAWZkSAb6PmyG4ciSBH8xxjCQBxuYGZF2saFwQz6doguBVApiCY9+EzBs2tWYMNzRGeEV0yrGQZDxlajUU34wL4AADJktO9aH5vUADQai/i3MGew5kHDaDR6qCDeJjyYWGQpRNZjtAQdejQQQPUsBQNHDgwJgDQbzmeyDI0r3NcgnAZgkIEygy3ZAcA9cuj6LKASzlcCuCi8/bbb7sdQuifiykAhL8UDj6oVLFxAZ4ABrH4rW69MHnB9AW1PjQmIrIDgHD0v/nmmzVAhn7NH1x8NKE5gQnNjuBfAt8QaC1h0jaTPh+YYGGK1Uk33+Gj37VrV80Mrpu7YP7Fh89oDrIbh+h3+PHBNAhfRyxuM+n+VzCZQM0NH0CAPzjAXn755dJdJoIcRZONJQCEfwtcBay0tTh07r777nyy1DWG0TSA0CbDHcKO4iVD0bjgvwi/K5hU4Roia3JxuxeNYwgKAEbbi5Ar5AsLwVlnnaW5kOCCi39wbsBfWJZOZDnCbQdaY/wbgAHnZ6wAIOTjlxxPZBma1zmUKnD/gLIE5nezgkV2X6CdHQDExRoXNVyqMzIy8r1aP1tw6YbCKFEpZgAQhzv8/wCaoK2AfxPoiy++0MCfyCSC3+EbCF9A+EjBvCoiOwCoH/JYTAiCgHoXgoX5FZsY5hqz/6GVwKF9gT8fIi5xgzcT5gcNHNTG6MdImOvtt9+uBa3oBFMfItfM/pJOFxzMzgCyderU0bSrul+i8T3mCEyAUJhPnAS/JIoc4w0AEcgB8GelsUNE4vXXX08PP/ywFpFm3AswFwFA6IcjTMW4rcJnBqAC5tRoFE8ZisalO2870V7iPV72oj6OIACgzF7EhRP+o5CFTgD4kDf80GToRJcjzL64OIPfus9oLAEgZORVjie6DM3rfMiQIZo53woPyOwLvY0dAMRlGRhg8+bNQv9/BIYgkNXuPHUyprC1jQkARLQjPmbQ4kELB/OoTrEAgAA5jz/+uOZDCAdwPYIYY4DjL8AgtGJwpgdwAlBCsIaRYCbu3r27648ODiqAWZjpAH6h5cANB7d9pLx4//33j5l94JNndj6GCRtpZkSEWwzANYI8oNUDQLUDALhpwRyOAwwAHGOzo0SSYywAYDQ5ugGAcDuALym0ZAAJxihgRMPDLAVNGt5tRfGWoWhc0IgjtQ4iY81rPIi9aByDHQD0ey/C5xmAHuceLATwc4I5H1YJBH7oqUIQsR+NTnQ54nyE9hRuM3rqF/DLCgA6laMdePBDjie6DM3rG/yAW9jatWs1zZw5NZrfMlQAkChwAIiNAvMrIhtxw4f2zxiNGgsTsG5OQ5QP/AHNhKhKAEPdL1G/hRjbXXzxxZqTvRuzE5yTAdBuuOEGTZtpJNw+cHsFINTHph9ixnb4OMBHyEyIUsK7sXkQkQww64Rw04J2FR8kgAsrSjQ5xgIARpOjGxMwxozINYB1HIbQgCHFEvxUoE2E5hmaZGMEunGeYZChme+IuobpHZHVMIHqkdB6O7/3orl/OwDo917U3VGQ8xSXYiPBDxcWgWgyRHslR9J8uhEtiguC0dphBQCdyBE8tgOAXuWoZBh5AsN1BdY8ROB+++23EQ38lqEyAQcMAAFKAP5g4oH59n//+1+ETT8WQSAAdwB5Vn570EpiwSF/n93NG6vSqeO5ngMQ0WnQdphJ9+2COhpqZ1mC5hAOs9BeInJKlGDb7l2IZIYPYjQTeKLK0cybWPoAugkCiSZL3YyKxKr/93//F9E0LDI0DwwmT0RuQosD9win5HQvOgWAsuOR3Yt67jgEgyGXo5n0+UALIiIlxyOBdbJ+olA8wHLjlOwAoBc5KhkekaGZ4DYFJQb82AEEvZKdDFUQSIAA0LjIzT5LRsHKpIGBiQQBE2btgP4eOx9A+NzBNw6aR4AsVE8wEpzxoZGBaQ3Op3aENA6IWJZNA6M7CyMQBAeHmfToTjgDy0bi4oMDUAvwh7HIAFfRvLDZ4LCOfxBwY6ZElqN5rrEEgOgbGleY/qKlgYGGzFwJRyRHXYsNh2WzFjhMMjSOHc77uJQhGh3ab5m9Z567071oft5OA2h3FuB3J3tRj/bEhdNcgQd7GQFmOO/gjhLmvRhvOUKxICL4YOOMx0UbuWjh3gKzolOyAw9u5aj24vH0aEaZ6JkykAbOmCPYqdyM7e1kCLcrXDpVGhgvXBY8i0UO3wykIsGHCSbGaEmWnSaCNndpBwDRHvl+4PNmdi7Vne0BAuE/J0PG5LM4yPXoYatE0HrOKPjmIXDEmIcQPIJpGGZgaCplSP/g4AOKfISiEmDG98C0Bm2DGfjCDxBmQ5Qgw9zBAyMluhzNvI41AHSaCBrjRaCHGRAiETW0zNB04J1hl6E+PpixkbMQH2tox92Q071o7sMrAHS6F/X+AP7gE200X8IsjH+QAgapYJQcScvtJ0qub7VWYhUE4kaOYTxPw7IX9fRp1113nRYE4gfZAUC40+BygOhxlQjaD44ffYfut4MoU/i5iEK54fys38zMpeAAhqARQH4eUSk4dIMkqlu2bNF6BHCCPxQOTj2RNJB93bp1j80KNwyYWmFyRh4uJKHGTVEHZPi3ObluNJYgXQMOaZlScLjZw08PgSW4leKDp/v8IX0BPgJQfZsBmKh/VO3A2LF4kQIBjqxmAsAEqNQJuRThZI95ww8SYBwaBvAXfjQi30Q8eyLIER8MnaDRBcCCv6dOyM9oNMtD5uAlCFpp+GACgCNaDIR1LWtywrqAX6yxFBwielExQFQKDu+H/OD/hPyB0IhjTQGEYE0gZ6DZNBZGGeq81bUoVq4RskeSk72Id/olQzd70RjIg+Tf2MO4mEETjH9Q2Qj7Uk8ir/NAyTF6KTidT24BIL4lxsTcyEEHTawxHyN8wHVyI0clQ2sZ6lWArFwjZM4CpzLEOyFngE69FByshDhHUSUKLmtOMmTIjDFsbQIJAhE5a5onbi6fhXx0QP74+KF0GtA7Nh+CH0SVO/R6nlYMFUUU4sDGDRsfevSBwxaOoFABmyOO7ASF2xyCS6BVRB4hAE9EMMKMaj688S4UfEcADHz1YNYD8EKJG4AygFWZOsB4j7EOstUYzUXMAW4R5LFgwQJtYaNvBA/AVAj/R6vgjxNBjna+RObygnY8sQrWsZIV1gXSBeEggiYW48FFBR8jkUkUEaRwfIePmF76CkEgqGcpSv1jN16MKx57ERc2RDJjHSJ62Uu+L6d70Y4nsjJ0sxfBb1wy4PeIcwgXMVwEUJ8cUa2Qr7kqDJ6xG/OJKEfRnnILAGVkaS4R6VSOSoZHKmOZyVhWTyaHqdVZ6kaGeBfSCCEXLlxxQFBMwSUKxSkSnQIBgInONDU/xQHFAcUBxQHFAcUBxYGCzAEFAAuy9NTYFQcUBxQHFAcUBxQHFAdccEABQBdMU48oDigOKA4oDigOKA4oDhRkDigAWJClp8auOKA4oDigOKA4oDigOOCCAwoAumCaekRxQHFAcUBxQHFAcUBxoCBzQAHAgiw9NXbFAcUBxQHFAcUBxQHFARccUADQBdPUI4oDigOKA4oDigOKA4oDBZkDCgAWZOmpsSsOKA4oDigOKA4oDigOuOCAAoAumKYeURxQHFAcUBxQHFAcUBwoyBxQALAgS0+NXXFAcUBxQHFAcUBxQHHABQcUAHTBNPWI4oDiQMHigF6HFXWejTVdC9Ys1GgVBxQHFAf844ACgP7xUr1JcUBxIKQc8BsAvv7664T65ZdccglVq1YtpLNWw1IcUBxQHLDmgAKAanUoDigOJDwH/AaAJ598Mq1Zs4ZGjhxJ7du3T3j+qQkqDigOJB4HFABMPJmqGSkOKA6YOKAAoFoSigOKA4oD+Tnw/4GRsPnqkkQuAAAAAElFTkSuQmCC\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='date'>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Use Pandas Plotting with Matplotlib to plot the data\n",
    "df.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Use Pandas to calcualte the summary statistics for the precipitation data\n",
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(9,)]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# How many stations are available in this dataset?\n",
    "session.query(func.count(Station.station)).all()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "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": 18,
     "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": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(54.0, 85.0, 71.66378066378067)]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Using the station id from the previous query, calculate the lowest temperature recorded, \n",
    "# highest temperature recorded, and average temperature most active station?\n",
    "session.query(func.min(Measurement.tobs), func.max(Measurement.tobs), func.avg(Measurement.tobs)).\\\n",
    "filter(Measurement.station == 'USC00519281').all()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "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",
    "session.query(Measurement.tobs)\n",
    "results = session.query(Measurement.tobs).\\\n",
    "filter(Measurement.station == 'USC00519281').\\\n",
    "filter(Measurement.date >= prev_year).all()\n",
    "\n",
    "# To run this code, you will need to add a print statement around it.\n",
    "print(results)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "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": [
    "# To make the results easier to read, understand, and use, we'll put them in a DataFrame.\n",
    "# To convert the results to a DataFrame, add the following to your code:\n",
    "df = pd.DataFrame(results, columns=['tobs'])\n",
    "\n",
    "# Add a print(df) statement after the last line and run the code\n",
    "print(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    fig.rubberband_canvas.style.cursor = msg['cursor'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from https://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * https://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create a histogram from the temperature observations. This will allow us to quickly count how many temperature \n",
    "# observations we have. To create the histogram, we need to use the plot() function and the hist() function and add the \n",
    "# number of bins as a parameter. Add the following to your code:\n",
    "df.plot.hist(bins=12)\n",
    "# Using plt.tight_layout(), we can compress the x-axis labels so that they fit into the box holding our plot.\n",
    "plt.tight_layout()"
   ]
  },
  {
   "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",
    "def calc_temps(start_date, end_date):\n",
    "    \"\"\"TMIN, TAVG, and TMAX for a list of dates.\n",
    "    \n",
    "    Args:\n",
    "        start_date (string): A date string in the format %Y-%m-%d\n",
    "        end_date (string): A date string in the format %Y-%m-%d\n",
    "        \n",
    "    Returns:\n",
    "        TMIN, TAVE, and TMAX\n",
    "    \"\"\"\n",
    "    \n",
    "    return session.query(func.min(Measurement.tobs), func.avg(Measurement.tobs), func.max(Measurement.tobs)).\\\n",
    "        filter(Measurement.date >= start_date).filter(Measurement.date <= end_date).all()\n",
    "print(calc_temps('2012-02-28', '2012-03-05'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Referenced JWU047 \"Climate_Analysis.ipynb\" from GitHub.\n",
    "# Use your previous function `calc_temps` to calculate the tmin, tavg, and tmax \n",
    "# for your trip using the previous year's data for those same dates.\n",
    "\n",
    "# For the trip\n",
    "start = dt.date(2018, 1, 1)\n",
    "end = dt.date(2018, 1, 7)\n",
    "\n",
    "# Get range we want for last year, will be used for later\n",
    "prev_year_start = start - dt.timedelta(days=365)\n",
    "prev_year_end = end - dt.timedelta(days=365)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Need to define this step\n",
    "tmin, tavg, tmax = calc_temps(prev_year_start.strftime(\"%Y-%m-%d\"),\n",
    "                             prev_year_end.strftime(\"%Y-%m-%d\"))[0]\n",
    "print(tmin, tavg, tmax)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Plot the results from your previous query as a bar chart. \n",
    "# Use \"Trip Avg Temp\" as your Title\n",
    "# Use the average temperature for the y value\n",
    "# Use the peak-to-peak (tmax-tmin) value as the y error bar (yerr)\n",
    "yerr = tmax-tmin\n",
    "width = 1\n",
    "fig, ax = plt.subplots(figsize=plt.figaspect(2))\n",
    "\n",
    "bar = ax.bar(width, tmax, yerr=yerr, \n",
    "             alpha=0.5, color='coral', align='center')\n",
    "ax.set(xticks=range(width), xticklabels='a', title='Trip Avg Temp', ylabel='Temp (F)')\n",
    "fig.tight_layout()\n",
    "ax.margins(0.2, 0.2)\n",
    "fig.savefig(\"Images/jw_temperature.png\")\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calculate the rainfall per weather station for your trip dates using the previous year's matching dates.\n",
    "# Sort this in descending order by precipitation amount and list the station, name, latitude, longitude, and elevation\n",
    "\n",
    "# Include information\n",
    "sel = [Station.station, Station.name, Station.latitude, Station.longitude, Station.elevation, func.sum(Measurement.prcp)]\n",
    "results = session.query(*sel).\\\n",
    "    filter(Measurement.station == Station.station).\\\n",
    "    filter(Measurement.date >= prev_year_start).\\\n",
    "    filter(Measurement.date <= prev_year_end).\\\n",
    "    group_by(Station.name).order_by(func.sum(Measurement.prcp).desc()).all()\n",
    "print(results)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create a query that will calculate the daily normals \n",
    "# (i.e. the averages for tmin, tmax, and tavg for all historic data matching a specific month and day)\n",
    "\n",
    "def daily_normals(date):\n",
    "    \"\"\"Daily Normals.\n",
    "    \n",
    "    Args:\n",
    "        date (str): A date string in the format '%m-%d'\n",
    "        \n",
    "    Returns:\n",
    "        A list of tuples containing the daily normals, tmin, tavg, and tmax\n",
    "    \n",
    "    \"\"\"\n",
    "    \n",
    "    sel = [func.min(Measurement.tobs), func.avg(Measurement.tobs), func.max(Measurement.tobs)]\n",
    "    return session.query(*sel).filter(func.strftime(\"%m-%d\", Measurement.date) == date).all()\n",
    "    \n",
    "daily_normals(\"01-01\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# calculate the daily normals for your trip\n",
    "# push each tuple of calculations into a list called `normals`\n",
    "\n",
    "# Use pandas to create a range of dates for each day\n",
    "# https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.date_range.html\n",
    "trip_dates = pd.date_range(start, end, freq='D')\n",
    "\n",
    "# Stip off the year and save a list of %m-%d strings\n",
    "trip_dates_months = trip_dates.strftime('%m-%d')\n",
    "\n",
    "# Loop through the list of %m-%d strings and calculate the normals for each date\n",
    "normals = []\n",
    "for date in trip_dates_months:\n",
    "    normals.append(*daily_normals(date))\n",
    "normals"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load the previous query results into a Pandas DataFrame and add the `trip_dates` range as the `date` index\n",
    "trip_dates_df = pd.DataFrame(normals, columns=['tmin', 'tavg', 'tmax'])\n",
    "trip_dates_df['date'] = trip_dates\n",
    "trip_dates_df.set_index(['date'], inplace=True)\n",
    "trip_dates_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Plot the daily normals as an area plot with `stacked=False`\n",
    "trip_dates_df.plot(kind='area', stacked=False, alpha=0.2)\n",
    "plt.tight_layout()\n",
    "plt.savefig(\"Images/jw_daily_normals.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def stats(start=None, end=None):\n",
    "    \"\"\"Return TMIN, TAVG, TMAX.\"\"\"\n",
    "\n",
    "    # Select statement\n",
    "    sel = [func.min(Measurement.tobs), func.avg(Measurement.tobs), func.max(Measurement.tobs)]\n",
    "\n",
    "    if not end:\n",
    "        # calculate TMIN, TAVG, TMAX for dates greater than start\n",
    "        results = session.query(*sel).\\\n",
    "            filter(Measurement.date >= start).all()\n",
    "        # Unravel results into a 1D array and convert to a list\n",
    "        temps = list(np.ravel(results))\n",
    "        return temps\n",
    "\n",
    "    # calculate TMIN, TAVG, TMAX with start and stop\n",
    "    results = session.query(*sel).\\\n",
    "        filter(Measurement.date >= start).\\\n",
    "        filter(Measurement.date <= end).all()\n",
    "    # Unravel results into a 1D array and convert to a list\n",
    "    temps = list(np.ravel(results))\n",
    "    return temps\n",
    "stats('2012-02-28', '2013-03-05')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Challenge"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.7.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}