pandas filter column by multiple values code example

Example 1: 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)]

Example 2: filter data in a dataframe python on a if condition of a value python by Testy Toucan on May 22 2020 Donate

# filter rows in a dataframe by a condition on a column

df_filtered = df.loc[df['column'] == value]

Example 3: pandas filter rows by value in list

df.loc[df['col name'].isin(ls_conditions)]

Example 4: filter df by column value

# does year equals to 2002?
# is_2002 is a boolean variable with True or False in it
>is_2002 =  gapminder['year']==2002
>print(is_2002.head())
0    False
1    False
2    False
3    False
4    False