title: How do I plot volume on my candlestick chart using dataframe
body: <p>I just started out with Python, so bit of a noob here. I managed to figure out how to get data from an API to retrieve stock data. after reindexing it columns come out like this: 
  [date, 1. open, 2. close, 3. high, 4. low, 5. volume]</p>
  
  <p>I used MPL_finance and matplotlib and now I got a nice looking candlestick in a chart, succes! :)
  But I have been cracking my head how to add the volume in the SAME figure for saving. volume is in the dataframe onder the 5. volume column. Can anyone help me out? thanks!</p>
  
  <hr>
  
  <p>Code:</p>
  
  <pre><code>import matplotlib.pyplot as plt
  
  from mpl_finance import candlestick_ohlc
  
  import pandas as pd
  
  import matplotlib.dates as mpl_dates
  
  stock_names=['AAPL']
  ts = TimeSeries(key='xxx',output_format='pandas')
  data, meta_data = ts.get_daily(symbol=stock_names, outputsize='compact')
  
  data = df.reset_index()
  
  #slice to make the chart look better
  
  data = data[:-50]
  
  plt.style.use('ggplot')
  
  #Extracting Data for plotting
  
  ohlc = data.loc[:, ['date', '1. open', '2. high', '3. low', '4. close']]
  ohlc['date'] = pd.to_datetime(ohlc['date'])
  ohlc['date'] = ohlc['date'].apply(mpl_dates.date2num)
  ohlc = ohlc.astype(float)
  
  #Creating Subplots
  
  fig, ax = plt.subplots()
  
  candlestick_ohlc(ax, ohlc.values, width=0.6, colorup='green', colordown='red', alpha=0.8)
  
  #Setting labels &amp; titles
  
  ax.set_xlabel('Date')
  ax.set_ylabel('Price')
  fig.suptitle('Daily Candlestick Chart')
  
  #Formatting Date
  
  date_format = mpl_dates.DateFormatter('%d-%m-%Y')
  ax.xaxis.set_major_formatter(date_format)
  fig.autofmt_xdate()
  
  plt.show()
  </code></pre>