title: pandas transform a csv into a h5 file avoiding memory error
body: <p>I have this simple code</p>
  
  <pre><code>data = pd.read_csv(file_path + 'PSI_TS_clean.csv', nrows=None, 
                     names=None, usecols=None)
  
  data.to_hdf(file_path + 'PSI_TS_clean.h5', 'table')
  </code></pre>
  
  <p>but my data is too big and I run into memory issues. </p>
  
  <p>What is a clean way to do this chunk by chunk?  </p>