title: Python: Missing Parts When Converting Text File Into Dataframe
body: <p>I am so new to programming and Stack Overflow. I have a text file as follows:</p>
  
  <pre><code>  -2807.557   127583628.769  99415830.714  95273508.861  24278349.326
    -1154.563   109739935.967  85511647.328  81948692.208  20882802.837
     1120.689   116602649.396  90859192.858  87073411.233  22188740.266
                124847113.835  97283456.793                23757610.353
     1197.150   110618019.067  86195868.474  82604380.229  21049905.359
                125883903.195  98091335.810                23954905.537
  </code></pre>
  
  <p>There are missing parts in my text file. I need to check them and insert 0. For example i want to create a dummy dataframe for index 0 like this:</p>
  
  <pre><code>  Sats:     Values:
      A     -2807.557
  
      B     -1154.563
  
      C      1120.689
  
      D      0
  
      E      1197.150 
  
      F      0
  </code></pre>
  
  <p>But on my output, row D and F shows next values instead of empty parts :</p>
  
  <pre><code>  Sats:     Values:
      A     -2807.557
  
      B     -1154.563
  
      C      1120.689
  
      D      124847113.835
  
      E      1197.150 
  
      F      125883903.195  
  </code></pre>
  
  <p>Is there an algorithm to check missing parts in a row and insert 0 right there for every case like this?</p>