title: Pandas: Plot Mean/Median with Error Bars (time-series)
body: <p>I have a simple dataframe that represents some time series data:</p>
  <pre><code>  df.to_dict(orient='tight') = {'column_names': [None],
   'columns': [0, 1, 2, 3, 4, 5, 6, 7, 8],
   'data': [[nan, nan, nan, nan, nan, nan, nan, nan, nan],
            [0.0, 0.0125, 0.0, 0.0, 0.2225, 0.005, 0.0025, 0.0025, 0.0075],
            [0.0125, 0.005, 0.01, 0.0225, 0.01, 0.0, 0.005, 0.005, 0.005],
            [0.0025, 0.04, 0.0075, 0.005, 0.0025, 0.0, 0.0025, 0.0025, 0.005],
            [0.01, 0.0125, 0.005, 0.0025, 0.005, 0.005, 0.0, 0.0025, 0.0],
            [0.0, 0.035, 0.0, 0.0, 0.015, 0.0025, 0.0025, 0.0025, 0.0],
            [0.0025, 0.0025, 0.0, 0.01, 0.035, 0.005, 0.0, 0.0025, 0.0],
            [0.0, 0.005, 0.0025, 0.005, 0.01, 0.0025, 0.0, 0.0, 0.0025],
            [0.0, 0.0025, 0.0025, 0.0, 0.005, 0.0025, 0.0025, 0.0, 0.0],
            [0.0025, 0.005, 0.0025, 0.005, 0.0225, 0.0, 0.0025, 0.0025, 0.0025]],
   'index': [0, 1, 2, 3, 4, 5, 6, 7, 8, 9],
   'index_names': [None]}
  </code></pre>
  <p>The columns represent data series [y-axis]
  The index represents a day  [x-axis]</p>
  <p>I am looking for a way to easily plot the median (and mean separately) with error-bars as a time-series-like chart (index = XAxis).</p>
  <p>Any help appreciated!</p>