title: How to read a compressed (gz) CSV file into a dask Dataframe?
body: <p>Is there a way to read a .csv file that is compressed via gz into a dask dataframe?</p>
  
  <p>I've tried it directly with</p>
  
  <pre><code>import dask.dataframe as dd
  df = dd.read_csv("Data.gz" )
  </code></pre>
  
  <p>but get an unicode error (probably because it is interpreting the compressed bytes) There is a <code>"compression"</code> parameter but <code>compression = "gz"</code> won't work and I can't find any documentation so far.</p>
  
  <p>With pandas I can read the file directly without a problem other than the result blowing up my memory ;-) but if I restrict the number of lines it works fine.</p>
  
  <pre><code>import pandas.Dataframe as pd
  df = pd.read_csv("Data.gz", ncols=100)
  </code></pre>