import matplotlib.pyplot as plt
import numpy as np
import requests
import matplotlib.dates as mdates


def graph_data():

    stock_price_url = 'https://pythonprogramming.net/yahoo_finance_replacement'

    response = requests.get(stock_price_url)

    source = response.content.decode('UTF-8')

    split_source = source.splitlines()

    # remove headers
    del split_source[0]

    stock_data = []

    for line in split_source:
        split_line = line.split(',')

        if not len(split_line) == 7:
            continue

        stock_data.append(line)

    date, open, high, low, closep, ajd_close, volume = np.loadtxt(stock_data,
                                                                 delimiter=',',
                                                                 unpack=True,
                                                                 converters=
                                                                {0: lambda x: mdates.datestr2num(x.decode('utf8'))})

    plt.plot_date(date,closep, '-', label='Price')
    plt.xlabel('Date')
    plt.ylabel('Price')
    plt.legend()
    plt.show()

graph_data()