title: Skip first rows when writing csv (pandas.DataFrame.to_csv)
body: <p>In my python script I am reading a csv file via</p>
  
  <pre><code>df = pd.read_csv('input.csv', sep=';', encoding = "ISO-8859-1", skiprows=2, skipfooter=1, engine='python')
  </code></pre>
  
  <p>I am the skipping the first two rows in the csv file because they are just discriptions I don't need.</p>
  
  <p>After importing, I am filtering and separating the data. <strong>I want to write the data back to csv files while having the same format as before (first two rows either empty or the description as before the import)</strong>. How can I do that?</p>
  
  <p>Currently I am using </p>
  
  <pre><code>df.to_csv('output.csv'), sep=';', encoding = "ISO-8859-1")
  </code></pre>
  
  <p>Is there something like a parameter "skiprows" for exporting? I can't find one in the <a href="https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.to_csv.html" rel="noreferrer">api documentation for .to_csv</a>.</p>