filtrar dataframe
tests_df[(tests_df['grade'] > 10)]
Azad Kshitij
tests_df[(tests_df['grade'] > 10)]1
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# filter rows for year 2002 using the boolean expression
>gapminder_2002 = gapminder[gapminder['year']==2002]
>print(gapminder_2002.shape)
(142, 6)filter = df['column']!= 0
df = df[filter]#Filtering for SP state and price up or equal 115
sp_above_mean = df[(df['price'] >= 115) & (df['seller_state'] == 'SP')]# select columns by name
>>> df.filter(items=['one', 'three'])
one three
mouse 1 3
rabbit 4 6df[(df['year'] > 2012) & (df['reports'] < 30)]