pandas column filter
filter = df['column']!= 0
df = df[filter]pandas filter rows by 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
# filter rows for year 2002 using the boolean variable
>gapminder_2002 = gapminder[is_2002]
>print(gapminder_2002.shape)
(142, 6)pandas filter
df[(df['year'] > 2012) & (df['reports'] < 30)]pandas filter
#To select rows whose column value is in list
years = [1952, 2007]
gapminder.year.isin(years)Copyright © 2021 Codeinu
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