pyspark.pandas.groupby.GroupBy.get_group#

GroupBy.get_group(name)[source]#

Construct DataFrame from group with provided name.

Parameters

nameobject: The name of the group to get as a DataFrame.

Returns

groupsame type as obj

Examples

>>> psdf = ps.DataFrame([('falcon', 'bird', 389.0),
...                     ('parrot', 'bird', 24.0),
...                     ('lion', 'mammal', 80.5),
...                     ('monkey', 'mammal', np.nan)],
...                    columns=['name', 'class', 'max_speed'],
...                    index=[0, 2, 3, 1])
>>> psdf
     name   class  max_speed
0  falcon    bird      389.0
2  parrot    bird       24.0
3    lion  mammal       80.5
1  monkey  mammal        NaN

>>> psdf.groupby("class").get_group("bird").sort_index()
     name class  max_speed
0  falcon  bird      389.0
2  parrot  bird       24.0

>>> psdf.groupby("class").get_group("mammal").sort_index()
     name   class  max_speed
1  monkey  mammal        NaN
3    lion  mammal       80.5