title: How to use pandas DataFrame in shared memory during multiprocessing?
body: <p>In <a href="https://stackoverflow.com/a/5550156/9098935">one answer to: Is shared readonly data copied to different processes for multiprocessing?</a> a working solution for shared memory for a numpy array is given.</p>
  
  <p>How would the same look like if a pandas DataFrame should be used?</p>
  
  <p>Background: I would like to be able to write to the DataFrame during multiprocessing and would like to be able to process it further after the multiprocessing has finished.</p>