title: Statsmodels.api.tsa.seasonal_decompose plot figsize
body: <p>I am using <code>statsmodels.api.tsa.seasonal_decompose</code> to do some seasonal analysis of a time series.</p>
  <p>I set it up using</p>
  <pre class="lang-py prettyprint-override"><code>decomp_viz = sm.tsa.seasonal_decompose(df_ts['NetConsumption'], period=48*180)
  </code></pre>
  <p>and then try and visualise it using</p>
  <pre class="lang-py prettyprint-override"><code>decomp_viz.plot()
  </code></pre>
  <p>The output was tiny so I tried to use the standard matplotlib command of</p>
  <pre class="lang-py prettyprint-override"><code>decomp_viz.plot(figsize=(20,20))
  </code></pre>
  <p>However, this got the warning:</p>
  <pre class="lang-py prettyprint-override"><code>TypeError: plot() got an unexpected keyword argument 'figsize'
  </code></pre>
  <p>The documentation says that a <code>matplotlib.figure.Figure</code> is returned from <code>DecomposeResult.plot</code> so I am unsure as to why this error is happening.</p>
  <p>My version of <code>statsmodels</code> is <code>0.13.1</code> and I am aware that the documentation is for <code>0.14.0</code>, but conda says that that version does not exist and that I cannot update to it.</p>
  <p>Any thoughts would be appreciated.</p>