I\'ve seen this and this on formatting floating-point numbers for display in pandas, but I\'m interested in doing the same thing for integers
Another option for Jupyter notebooks is to use df.style.format('{:,}'), but it only works on a single dataframe as far as I know, so you would have to call this every time:
table.style.format('{:,}')
col1 col2
0s 9,246,452 6,669,310
>0 2,513,002 5,090,144
table
col1 col2
0s 9246452 6669310
>0 2513002 5090144
Styling — pandas 1.1.2 documentation