title: Is there efficient way to convert Pandas DataFrame to H2O Frame?
body: <p>I have a Pandas data frame and I need to convert it to H2O frame. I use the following code-</p>
  
  <p><strong>Code:</strong></p>
  
  <pre><code># Convert pandas dataframe to H2O frame
  start_time = time.time()
  input_data_matrix = h2o.H2OFrame(input_df)
  logger.debug("3. Time taken to convert H2O Frame- " + str(time.time() - start_time))
  </code></pre>
  
  <p><strong>Output:</strong></p>
  
  <blockquote>
    <p>2019-02-05 04:38:55,238 logger DEBUG 3. Time taken to convert H2O
    Frame- 9320.119945764542</p>
  </blockquote>
  
  <p>The data frame (i.e. <code>input_df</code>) size 183K x 435 with no null or NaN values. </p>
  
  <p>It is taking around 2 hours. Is there any better way to perform this operation?</p>