title: Charting Candlestick_OHLC one minute bars with Pandas and Matplotlib
body: <p>Given the following example of Pandas dataframe</p>
  
  <pre><code>                    date    open    high     low   close    volume
  0    2015-03-13 08:00:00  71.602  71.637  71.427  71.539  0.000249
  1    2015-03-13 08:01:00  71.541  71.563  71.461  71.501  0.000215
  2    2015-03-13 08:02:00  71.521  71.537  71.504  71.533  0.000048
  3    2015-03-13 08:03:00  71.530  71.530  71.510  71.524  0.000016
  4    2015-03-13 08:04:00  71.504  71.578  71.504  71.515  0.000045
  5    2015-03-13 08:05:00  71.524  71.581  71.522  71.538  0.000062
  6    2015-03-13 08:06:00  71.562  71.621  71.542  71.550  0.000095
  7    2015-03-13 08:07:00  71.555  71.576  71.544  71.565  0.000051
  8    2015-03-13 08:08:00  71.555  71.566  71.554  71.565  0.000023
  9    2015-03-13 08:09:00  71.564  71.564  71.502  71.504  0.000017
  10   2015-03-13 08:10:00  71.508  71.549  71.486  71.516  0.000097
  11   2015-03-13 08:11:00  71.521  71.523  71.443  71.447  0.000103
  12   2015-03-13 08:12:00  71.451  71.496  71.444  71.480  0.000206
  13   2015-03-13 08:13:00  71.473  71.485  71.389  71.418  0.000147
  14   2015-03-13 08:14:00  71.424  71.442  71.394  71.398  0.000107
  15   2015-03-13 08:15:00  71.393  71.415  71.350  71.356  0.000141
  16   2015-03-13 08:16:00  71.377  71.463  71.366  71.436  0.000142
  17   2015-03-13 08:17:00  71.428  71.467  71.391  71.440  0.000091
  18   2015-03-13 08:18:00  71.357  71.450  71.353  71.420  0.000147
  19   2015-03-13 08:19:00  71.420  71.476  71.415  71.439  0.000062
  20   2015-03-13 08:20:00  71.443  71.471  71.403  71.435  0.000196
  21   2015-03-13 08:21:00  71.442  71.475  71.425  71.469  0.000032
  </code></pre>
  
  <p>How to plot one minute candlestick OHLC bars showing the minute timeframe on the xaxis?</p>
  
  <p>I tried this but it doesn't work</p>
  
  <pre><code>df = df[['date', 'open', 'high', 'low', 'close', 'volume']]
  df = df.reset_index()
  f1 = plt.subplot2grid((6, 4), (1, 0), rowspan=6, colspan=4, axisbg='#07000d')
  f1.xaxis.set_major_formatter(mdates.DateFormatter('%y-%m-%d %H:%M:%S'))
  candlestick_ohlc(f1, df.values, width=.6, colorup='#53c156', colordown='#ff1717')
  plt.ylabel('Stock Price')
  plt.xlabel('Date Hours:Minutes')
  plt.show()
  </code></pre>