title: Merging two pandas dataframes with a dictionary
body: <p>I have a dict that currently looks like this:</p>
  
  <pre><code>raw_data = {'Series_Date':['2017-03-10','2017-03-11','2017-03-12','2017-03-13','2017-03-14','2017-03-15'],'Value':[1,1,1,1,1,1]}
  import pandas as pd
  df1= pd.DataFrame(raw_data,columns=['Series_Date','Value'])
  raw_data_ = {'Series_Date':['2017-03-16','2017-03-17','2017-03-18','2017-03-19','2017-03-20','2017-03-21'],'Value':[1,1,1,1,1,1]}
  df2= pd.DataFrame(raw_data_,columns=['Series_Date','Value'])
  dict = {}
  dict = {'Check':df1, 'Check2': df2}
  print dict
  </code></pre>
  
  <p>I want to find a way to merge the two dataframe series in my dict in such a manner that the key is the key of the first series and the values are the dataframes merged. My resulting dict should then look like:</p>
  
  <pre><code>raw_data = {'Series_Date':['2017-03-10','2017-03-11','2017-03-12','2017-03-13','2017-03-14','2017-03-15','2017-03-16','2017-03-17','2017-03-18','2017-03-19','2017-03-20','2017-03-21'],'Value':[1,1,1,1,1,1,1,1,1,1,1,1]}
  import pandas as pd
  df= pd.DataFrame(raw_data,columns=['Series_Date','Value'])
  dict = {}
  dict = {'Check':df}
  print dict
  </code></pre>
  
  <p>Is there any simple way of doing this?</p>