title: pandas read .csv file without suitable delimiter. (only seperate first column vs "rest")
body: <p>I try importing a .csv file into python pandas as the following:</p>
  
  <pre><code>dataframe = pd.read_csv(inputfile, sep=delimiter, header=None)
  </code></pre>
  
  <p>However, each line of the (huge) <code>inputfile</code> consists of an integer, followed by some string. Like this:</p>
  
  <pre><code>1234 this string % might; contain 눈 anything
  </code></pre>
  
  <p>The result should be a two column <code>dataframe</code> which has said <code>Integer</code> on position 1 and the rest of the line in position 2. </p>
  
  <p>Since any character can occur in the string I am unable to use a single character as a separator. Trying to use a highly unlikely long string sequence like "khlKiwVlZdsb9oVKq5yG" as a delimiter for one feels like a dirty workaround, secondly may not be 100% reliable and thirdly causes the following "error/inconvenience":  </p>
  
  <blockquote>
    <p>ParserWarning: Falling back to the 'python' engine because the 'c' engine does not support regex separators (separators > 1 char and different from '\s+' are interpreted as regex); you can avoid this warning by specifying engine='python'.</p>
  </blockquote>
  
  <p>So my question is: Is there any better way to deal with my Problem? Maybe some option to tell pandas to ignore any further delimiters after the first in a line has been encountered?</p>
  
  <p>Thank you for any suggestions!</p>