title: Pandas: Storing Dataframe in Dataframe
body: <p>I am rather new to Pandas and am currently running into a problem when trying to insert a Dataframe inside a Dataframe. </p>
  
  <p>What I want to do:
  I have multiple simulations and corresponding signal files and I want all of them in one big DataFrame. So I want a DataFrame which has all my simulation parameters and also my signals as an nested DataFrame. It should look something like this:</p>
  
  <pre><code>SimName | Date | Parameter 1 | Parameter 2 |  Signal 1 |  Signal 2 |
  Name 1  | 123  | XYZ         | XYZ         | DataFrame | DataFrame |
  Name 2  | 456  | XYZ         | XYZ         | DataFrame | DataFrame |
  </code></pre>
  
  <p>Where SimName is my Index for the big DataFrame and every entry in Signal 1 and Signal 2 is an individuall DataFrame. </p>
  
  <p>My idea was to implement this like this:</p>
  
  <pre><code>big_DataFrame['Signal 1'].loc['Name 1']
  </code></pre>
  
  <p>But this results in an ValueError:</p>
  
  <blockquote>
    <p>Incompatible indexer with DataFrame</p>
  </blockquote>
  
  <p>Is it possible to have this nested DataFrames in Pandas?</p>
  
  <p>Nico</p>