pandas filter rows by value in list
df.loc[df['col name'].isin(ls_conditions)]
pandas filter rows by value in list
df.loc[df['col name'].isin(ls_conditions)]
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)
filter one dataframe by another
df1 = pd.DataFrame({'c': ['A', 'A', 'B', 'C', 'C'],
'k': [1, 2, 2, 2, 2],
'l': ['a', 'b', 'a', 'a', 'd']})
df2 = pd.DataFrame({'c': ['A', 'C'],
'l': ['b', 'a']})
keys = list(df2.columns.values)
i1 = df1.set_index(keys).index
i2 = df2.set_index(keys).index
df1[~i1.isin(i2)]
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