Drop pandas dataframe rows based on groupby() condition Drop pandas dataframe rows based on groupby() condition pandas pandas

Drop pandas dataframe rows based on groupby() condition


python pandas

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In [30]: df[df.groupby(['store_id', 'item_id'])['items_sold'].transform('sum') > 0]Out[30]:   store_id  item_id  items_sold        date1         1        2           1  2015-12-283         2        2           0  2015-12-284         2        1           1  2015-12-295         2        2           1  2015-12-296         2        1           0  2015-12-29

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