filter dataframe multiple conditions
# when you wrap conditions in parantheses, you give order
# you do those in brackets first before 'and'
# AND
movies[(movies.duration >= 200) & (movies.genre == 'Drama')]filter dataframe multiple conditions
# when you wrap conditions in parantheses, you give order
# you do those in brackets first before 'and'
# AND
movies[(movies.duration >= 200) & (movies.genre == 'Drama')]how to filter pandas dataframe column with multiple values
# Multiple Criteria dataframe filtering
movies[movies.duration >= 200]
# when you wrap conditions in parantheses, you give order
# you do those in brackets first before 'and'
# AND
movies[(movies.duration >= 200) & (movies.genre == 'Drama')]
# OR
movies[(movies.duration >= 200) | (movies.genre == 'Drama')]
(movies.duration >= 200) | (movies.genre == 'Drama')
(movies.duration >= 200) & (movies.genre == 'Drama')
# slow method
movies[(movies.genre == 'Crime') | (movies.genre == 'Drama') | (movies.genre == 'Action')]
# fast method
filter_list = ['Crime', 'Drama', 'Action']
movies[movies.genre.isin(filter_list)]filter dataframe by two columns
#tl;dr use the '&' opperator and not the word 'and'
print(df)
OUTPUT
Name Age
0 Joe 23
1 Tom 54
2 Joe 34
3 Tom 42
4 Joe 23
5 Tom 54
6 Joe 34
7 Tom 42
tom_and_42 = df[(df["Name"]=="Tom") & (df["Age"]==42)]
print(tom_and_42)
OUTPUT
Name Age
3 Tom 42
7 Tom 42Copyright © 2021 Codeinu
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