modin.pandas.DataFrameGroupBy.__iter__¶

DataFrameGroupBy.__iter__()[source]¶

GroupBy iterator.

Returns:

A generator yielding a sequence of (name, subsetted object) for each group.

Return type:

Generator

Examples

For SeriesGroupBy:

>>> lst = ['a', 'a', 'b']
>>> ser = pd.Series([1, 2, 3], index=lst)
>>> ser
a    1
a    2
b    3
dtype: int64
>>> for x, y in ser.groupby(level=0):
...     print(f'{x}\n{y}\n')
a
a    1
a    2
dtype: int64

b
b    3
dtype: int64

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For DataFrameGroupBy:

>>> data = [[1, 2, 3], [1, 5, 6], [7, 8, 9]]
>>> df = pd.DataFrame(data, columns=["a", "b", "c"])
>>> df
   a  b  c
0  1  2  3
1  1  5  6
2  7  8  9
>>> for x, y in df.groupby(by=["a"]):
...     print(f'{x}\n{y}\n')
(1,)
   a  b  c
0  1  2  3
1  1  5  6

(7,)
   a  b  c
2  7  8  9

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