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DOC: Changed M to MS in examples #53927

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Jun 29, 2023
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DOC: Changed M to MS in examples #53927

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18 changes: 9 additions & 9 deletions pandas/core/groupby/groupby.py
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Original file line number Diff line number Diff line change
Expand Up @@ -764,8 +764,8 @@ def groups(self) -> dict[Hashable, np.ndarray]:
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dtype: int64
>>> ser.resample('M').groups
{Timestamp('2023-01-31 00:00:00'): 2, Timestamp('2023-02-28 00:00:00'): 4}
>>> ser.resample('MS').groups
{Timestamp('2023-01-01 00:00:00'): 2, Timestamp('2023-02-01 00:00:00'): 4}
"""
return self.grouper.groups

Expand Down Expand Up @@ -818,9 +818,9 @@ def indices(self) -> dict[Hashable, npt.NDArray[np.intp]]:
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dtype: int64
>>> ser.resample('M').indices
defaultdict(<class 'list'>, {Timestamp('2023-01-31 00:00:00'): [0, 1],
Timestamp('2023-02-28 00:00:00'): [2, 3]})
>>> ser.resample('MS').indices
defaultdict(<class 'list'>, {Timestamp('2023-01-01 00:00:00'): [0, 1],
Timestamp('2023-02-01 00:00:00'): [2, 3]})
"""
return self.grouper.indices

Expand Down Expand Up @@ -1003,7 +1003,7 @@ def get_group(self, name, obj=None) -> DataFrame | Series:
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dtype: int64
>>> ser.resample('M').get_group('2023-01-31')
>>> ser.resample('MS').get_group('2023-01-01')
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dtype: int64
Expand Down Expand Up @@ -1085,13 +1085,13 @@ def __iter__(self) -> Iterator[tuple[Hashable, NDFrameT]]:
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dtype: int64
>>> for x, y in ser.resample('M'):
>>> for x, y in ser.resample('MS'):
... print(f'{x}\\n{y}\\n')
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2023-01-01 00:00:00
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dtype: int64
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dtype: int64
Expand Down
8 changes: 4 additions & 4 deletions pandas/core/resample.py
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Expand Up @@ -519,10 +519,10 @@ def ffill(self, limit: int | None = None):

Example for ``ffill`` with downsampling (we have fewer dates after resampling):

>>> ser.resample('M').ffill()
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Freq: M, dtype: int64
>>> ser.resample('MS').ffill()
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Freq: MS, dtype: int64

Example for ``ffill`` with upsampling (fill the new dates with
the previous value):
Expand Down