How can I remove all non-numeric characters from all the values in a particular column in pandas dataframe?

Question

I have a dataframe which looks like this:

     A       B           C
1   red78   square    big235
2   green   circle    small123
3   blue45  triangle  big657         


        

Answer 1

You can use .str.replace with a regex:

dfObject['C'] = dfObject.C.str.replace(r"[a-zA-Z]",'')

output:

        A         B    C
1   red78    square  235
2   green    circle  123
3  blue45  triangle  657