How to remove integer values from column with pandas

Question

I have a dataframe with info on multiple countries. The data is not very clean and some of the country names have integer values in them. like this China2 or Ukraine18 .

I want to remove the integer values from all entries in the Country column but am not able to find a robust way to do this. Any help is appreciated

Answer 1

You can use Series.str.replace :

df['Country'] = df['Country'].str.replace('\d+', '')