title: Import files in specified directory into separate pandas dataframes (and name them correspondingly)
body: <p>There are a lots of .csv files in a folder organized in sub-directoires under Win-server. They have different structure/size/number in each dir. Need to pick out all of them into <strong><em>different</em></strong> dataframes, name them correspondingly and jsonize each dataframe:</p>
  
  <pre><code>import glob
  import pandas as pd
  
  singlefile = [pd.read_csv(filename) for filename in glob.glob("C:\data\*.csv")]
  
  #this will read them all into the same DataFrame
  df = pd.concat(singlefile, axis=0)
  ...
  #and finally dump it into predefined singlefile.json
  df.to_json("C:\data\singlefile.json")
  </code></pre>
  
  <p>How do I modify this in order to parse them into different dataframes and then dump into different jsons? </p>
  
  <ol>
  <li>Pick pick out all filesnames in the directory until !eof();</li>
  <li>Loop over list of files to import to DF and assign unique names to them; - not to overwrite data in the same df;</li>
  <li>Export each into separate jsons;</li>
  </ol>