Retrieve stock information for any named company's ticker

sock_data.py

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

def bytespdates2num(formt, encoding='utf-8'):
    strconverter = mdates.strpdate2num(formt)
    def bytesconverter(b):
        s = b.decode(encoding)
        return strconverter(s)
    return bytesconverter

def get(stock):
    try:
        url = 'http://chartapi.finance.yahoo.com/instrument/1.0/'+stock+'/chartdata;type=quote;range=10y/csv'
        source_code = urllib.request.urlopen(url).read().decode()

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

        for line in split_source:
            split_line = line.split(',')
            if len(split_line) == 6:
                if 'values' not in line and 'labels' not in line:
                    stock_data.append(line)
                    dates, closep, highp, lowp, openp, volume = np.loadtxt(stock_data,
                                                                           delimiter=',',
                                                                           unpack=True,
                                                                           # %Y = full year 2016
                                                                           # %y = half year 16
                                                                           # %m = month 05
                                                                           # %d = day 04
                                                                           # %H = Hour
                                                                           # %M = Minutes
                                                                           # %S = Seconds
                                                                           # 05-04-2016 ==== Today's date :)
                                                                           # %m-%d-%Y
                                                                           converters={0:bytespdates2num('%Y%m%d')})
        return dates, closep, highp, lowp, openp, volume  
                                                                                                 
    except Exception as e:
        return False


if __name__ == '__main__':
    get('TSLA')