How Can I Remove Multiple Rows With Different Labels In One Command In Pandas?

I have a pandas dataframe that looks like the one below, and I want to drop several labels. What works fine is: df = df[df['label'] != 'A'] or: df = df[(df['label'] != 'A') &

Solution 1:

try this:

import numpy as np
df = df[np.logical_not(df['label'].isin(['A','B']))]

or

df = df[- df['label'].isin(['A', 'B'])]

see Remove rows not .isin('X')