Pandas loc multiple conditions [duplicate]

Question

This question already has an answer here:

• Selecting with complex criteria from pandas.DataFrame 4 answers

I have a dataframe and I want to delete all rows where column A is equal to blue and also col B is equal to green.

I though the below should work, but its not the case.

Can anyone see the problem

df=df.loc[~(df['A']=='blue' & df['B']=='green')]

Answer 1

You should separate the two propositions:

df1=df.loc[~(df['A']=='blue') & ~(df['B']=='green')]

Answer 2

use eq instead of ==:

df.loc[~(df['A'].eq('blue') & df['B'].eq('green'))]

Answer 3

query

Note the != and or as consequence of De Morgan's Law

df.query('A != "blue" or B != "green"')