title: Pandas: Dictionary of Dataframes
body: <p>I have a function that I made to analyze experimental data (all individual .txt files)</p>
  
  <p>This function outputs a dictionary ({}) of Pandas Dataframes</p>
  
  <p>Is there a efficient way to iterate over this dictionary and output individual dataframes?
  Let's say my dictionary is called analysisdict</p>
  
  <pre><code>for key in analysisdict.keys():
      dfx=pd.concat([analysisdict[key]['X'], analysisdict[key]['Y']], axis=1)
  </code></pre>
  
  <p>Where dfx would be an individual dataframe. (I'm guessing a second loop might be required? Perhaps I should iterate through a list of df names?)</p>
  
  <p>The output would be df1...dfn</p>