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

def bytespdate2num(fmt, encoding='utf-8'):
   strconverter = mdates.strpdate2num(fmt)
   def bytesconverter(b):
       s = b.decode(encoding)
       return strconverter(s)
   return bytesconverter


def graph_data():
   stock_price_url = 'https://pythonprogramming.net/yahoo_finance_replacement'
   source_code = urllib.request.urlopen(stock_price_url).read().decode()

   stock_data = []
   split_source = source_code.split('\n')

   for line in split_source:
       split_line = line.split(',')
       if len(split_line) == 7:
           if 'Volume' not in line:
               stock_data.append(line)

   date, openp, highp, lowp, closep, adjustedp, volume = np.loadtxt(stock_data,
                                                         delimiter=',',
                                                         unpack=True,
                                                         converters={0: bytespdate2num('%Y-%m-%d')}            )
   plt.plot_date(date, closep, '-')

   plt.xlabel('date')
   plt.ylabel('price')
   plt.title('Interesting graph\nCheck it out')
   plt.legend()
   plt.show()


graph_data()