title: Dropping rows in dataframe based on row value
body: <p>I have a few word documents which i turned into strings before reading into dataframes. Each dataframe is only one column wide but many rows long. they all look something like this:</p>
  <pre><code>0| this document is a survey
  1| please fill in fully
  2| Send back to address on the bottom of the sheet
  etc....
  </code></pre>
  <p>The start of each dataframe is fully of gibberish which i don't need so i need to delete all the rows before the row which contains the value 'Questions'. However it doesn't lie on the same index for each dataframe so i can't just delete the first 20 rows because it will have a different affect on each dataframe.</p>
  <p>how could i delete all the rows before 'Questions' in each dataframe</p>