title: converting object to int type in pandas dataframe
body: <p>I have a dataframe</p>
  
  <pre><code>print(df.dtypes)
  </code></pre>
  
  <pre><code>Index                                                      object
  Month Id                                                   int64
  Customer - ID                                              object
  Billed Customer - Name                                     object
  Status - -Customer                                         object
  Original Contract Id  -                                    object
  NIcode - NI Code                                           int64
  Total Bytes                                                object
  dtype: object
  </code></pre>
  
  <p>I am trying to make a pivot table with values as 'Total Bytes' and I am converting the column 'Total Bytes' to int but getting error</p>
  
  <pre><code>df['Total Bytes']=pd.to_numeric(df['Total Bytes'])
  </code></pre>
  
  <pre><code>ValueError: invalid literal for int() with base 10: '3,429,155,997.00'
  </code></pre>
  
  <p>Some of the values in 'Total Bytes' are:</p>
  
  <pre><code>9,374.00
  15,131.00
  5,078,065.00
  6,160.00
  193.096.00
  </code></pre>
  
  <p>Please help out.</p>