__author__ = 'structur'

#!/usr/bin/env python
"""
Makes a bar graph out of imported lists of stock tuples
"""
# import numpy as np
# import matplotlib.pyplot as plt
from mining import *
import json
import datetime

with open('/Users/curtismccord/PycharmProjects/assignment_3/data/GOOG.json', 'r') as stock_reader:
    stock_json = stock_reader.read
    stock_results = json.loads(stock_json)

# Import jsons and functions OR function results OR the classes...


six_best_months = mining.six_best_months(stock_results)
six_worst_months = mining.six_worst_months(stock_results)

six_best_months = [('2007/12', 693.76), ('2007/11', 676.55), ('2007/10', 637.38), ('2008/01', 599.42),
                   ('2008/05', 576.29), ('2008/06', 555.34)]

six_worst_months = [('2004/08', 104.66), ('2004/09', 116.38), ('2004/10', 164.52), ('2004/11', 177.09),
                    ('2004/12', 181.01), ('2005/03', 181.18)]

best_stock_prices = []
best_stock_dates = []
worst_stock_prices = []
worst_stock_dates = []


def sort_best_results(stock_results):
    for datum in stock_results:
        best_stock_dates.append(datum[0])
        best_stock_prices.append(datum[1])
    print(best_stock_prices)
    print(best_stock_dates)

def sort_worst_results(stock_results):
    for datum in stock_results:
        worst_stock_dates.append(datum[0])
        worst_stock_prices.append(datum[1])
    print(worst_stock_prices)
    print(worst_stock_dates)