title: load specific channels from mdf (.mf4) file
body: <p>I am loading many large <a href="https://www.asam.net/standards/detail/mdf/wiki/" rel="nofollow noreferrer">.mf4</a> files using the package <a href="https://asammdf.readthedocs.io/en/latest/" rel="nofollow noreferrer">asammdf</a>.
  These files have many channels that I am not interested in and the input is the bottleneck of my program.
  So my question is:</p>
  
  <p>Can I somehow only load specific channels from the file to speed up the input process?</p>
  
  <p>What I am doing now is to load the whole file and specify the channels during the conversion to a pandas <code>Dataframe</code>.</p>
  
  <pre><code>from asammdf import MDF
  
  if __name__ == '__main__':
      path = 'C:/path/to/some/file.mf4'
      mdfObj = MDF(path, version='4.10')
      columns=['A','B','C']
      df = mdfObj.to_dataframe(channels=columns)
  </code></pre>