title: pandas read_csv() for multiple delimiters
body: <p>I have a file which has data as follows</p>
  
  <pre><code>1000000 183:0.6673;2:0.3535;359:0.304;363:0.1835
  1000001 92:1.0
  1000002 112:1.0
  1000003 154435:0.746;30:0.3902;220:0.2803;238:0.2781;232:0.2717
  1000004 118:1.0
  1000005 157:0.484;25:0.4383;198:0.3033
  1000006 277:0.7815;1980:0.4825;146:0.175
  1000007 4069:0.6678;2557:0.6104;137:0.4261
  1000009 2:1.0
  </code></pre>
  
  <p>I want to read the file to a pandas dataframe seperated by the multiple delimeters <code>\t, :, ;</code></p>
  
  <p>I tried </p>
  
  <p><code>df_user_key_word_org = pd.read_csv(filepath+"user_key_word.txt", sep='\t|:|;', header=None, engine='python')</code></p>
  
  <p>It gives me the following error.</p>
  
  <p><code>pandas.errors.ParserError: Error could be due to quotes being ignored when a multi-char delimiter is used.</code></p>
  
  <p>Why am I getting this error?</p>
  
  <p>So I thought I'll try to use the regex string. But I am not sure how to write a split regex. r'\t|:|;' doesn't work. </p>
  
  <p>What is the best way to read a file to a pandas data frame with multiple delimiters? </p>