Python matplotlib.finance() Examples

The following are 3 code examples of matplotlib.finance(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module matplotlib , or try the search function .
Example #1
Source File: OTPpnAmgc.py    From OpenTrader with GNU Lesser General Public License v3.0 6 votes vote down vote up 
def lPullYahooToTxtfile(sSymbol):
    '''
        Use this to dynamically pull a sSymbol:
    '''
    try:
        print 'Currently Pulling', sSymbol
        print str(datetime.datetime.fromtimestamp(int(time.time())).strftime('%Y-%m-%d %H:%M:%S'))
        #Keep in mind this is close high low open, lol.
        urlToVisit = 'http://chartapi.finance.yahoo.com/instrument/1.0/'+sSymbol+'/chartdata;type=quote;range=10y/csv'
        lStockLines = []
        try:
            sourceCode = urllib2.urlopen(urlToVisit).read()
            splitSource = sourceCode.split('\n')
            for eachLine in splitSource:
                splitLine = eachLine.split(',')
                if len(splitLine) == 6:
                    if 'values' not in eachLine:
                        lStockLines.append(eachLine)
            return lStockLines
        except Exception as e:
            print str(e), 'failed to organize pulled data.'
    except StandardError, e:
        print str(e), 'failed to pull pricing data'
Example #2
Source File: utils.py    From deep-learning-bitcoin with Apache License 2.0 5 votes vote down vote up 
def plot_p(df):
    import matplotlib.pyplot as plt
    from matplotlib.finance import candlestick2_ohlc
    fig, ax = plt.subplots()
    candlestick2_ohlc(ax,
                      df['price_open'].values,
                      df['price_high'].values,
                      df['price_low'].values,
                      df['price_close'].values,
                      width=0.6,
                      colorup='g',
                      colordown='r',
                      alpha=1)
    plt.show()
    print('Done.')
Example #3
Source File: utils.py    From deep-learning-bitcoin with Apache License 2.0 5 votes vote down vote up 
def save_to_file(df, filename):
    import matplotlib.pyplot as plt
    from matplotlib.finance import candlestick2_ohlc
    fig, ax = plt.subplots()
    candlestick2_ohlc(ax,
                      df['price_open'].values,
                      df['price_high'].values,
                      df['price_low'].values,
                      df['price_close'].values,
                      width=0.6,
                      colorup='g',
                      colordown='r',
                      alpha=1)
    plt.savefig(filename)
    plt.close(fig)