如何替换与 pandas 系列中的正则表达式匹配的整个字符串

Question

When I try to replace a group of strings according to my regex in pandas series the replacement happens only for the part of string. I want the whole string to be replaced with my replacement text. I've attached the images for reference. If someone could help, it will be really helpful

Answer 1

Try something like this if you not that familiar with regex:

df.loc[~df['Gender'].isin(['Man', 'Woman']), 'Gender'] = 'Other'

Answer 2

Try this:

df1['Gender'].str.replace(r'(Man)|(Woman)', 'Others')

If something is inside squre brackets '[ ]', then each of the characters are mapped separately. Go to python regex documentation for more details.

[ ] Used to indicate a set of characters. In a set:

Characters can be listed individually, eg [amk] will match 'a', 'm', or 'k'.