python - Is there a way to reverse the dropping method in pandas?

Question

I'm aware that you can use df1 = df1[df1['Computer Name'] != 'someNameToBeDropped'] to drop a given string as a row

what if i wanted to do it the other way around. Let's say dropping everything except what i have in a list of strings.

is there a simple hack I haven't noticed?

Answer 1

Try this to get rows such that value of col is in that given list

df = df[df[column].isin(list_of_strings)]

Additional to exclude what's in the list

df = df[~df[column].isin(list_of_values)]