title: Removing comma from values in column (csv file) using Python Pandas
body: <p>I want to remove commas from a column named size.
  CSV looks like below:</p>
  <pre><code>number   name    size
     1      Car     9,32,123
     2      Bike    1,00,000
     3      Truck   10,32,111
  </code></pre>
  <p>I want the output as below:</p>
  <pre><code>number   name    size
     1      Car     932123
     2      Bike    100000
     3      Truck   1032111
  </code></pre>
  <p>I am using <code>python3</code> and <code>Pandas</code> module for handling this csv.
  I am trying <code>replace</code> method but I don't get the desired output.</p>
  <p>Snapshot from my code :</p>
  <pre><code>import pandas as pd
  
  df = pd.read_csv(&quot;file.csv&quot;)
  
  // df.replace(&quot;,&quot;,&quot;&quot;)
  // df['size'] = df['size'].replace(to_replace = &quot;,&quot; , value = &quot;&quot;)
  // df['size'] = df['size'].replace(&quot;,&quot;, &quot;&quot;)
  
  df['size'] = df['size'].replace({&quot;,&quot;, &quot;&quot;})
  print(df['size'])  // expecting to see 'size' column without comma
  </code></pre>
  <p>I don't see any error/exception. The last line <code>print(df['size'])</code> simply displays values as it is, ie, with commas.</p>