title: Plotting time series charts in Plotly with calculated confidence intervals
body: <p>I'm using cufflinks and plotly in offline mode in Jupyter mode. I need some help in plotting time series charts with calculated confidence intervals as bollinger bands. </p>
  
  <p>If i have a dataframe (df) whose index is Date (MM-YYYY) and columns A, B, 0.925_A, 0.975_A as time series. I am able to plot the time series using the code below. But I want to visualise 0.925_A and 0.975A as shaded area / bollinger bands around 'A' itself. </p>
  
  <pre class="lang-py prettyprint-override"><code>df.iplot(mode='lines', y='A', secondary_y='B', dash=['solid','dash'])
  
  </code></pre>
  
  <p>I was wondering if there's any way to do it together in the iplot() function above or to overlay 2 iplots() to combined area chart and line chart in one figure?</p>