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2 changes: 2 additions & 0 deletions doc/source/whatsnew/v2.3.0.rst
Original file line number Diff line number Diff line change
Expand Up @@ -108,6 +108,8 @@ Performance improvements

Bug fixes
~~~~~~~~~
- Fixed bug in :meth:`Series.diff` allowing non-integer values for the ``periods`` argument. (:issue:`56607`)


Categorical
^^^^^^^^^^^
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8 changes: 7 additions & 1 deletion pandas/core/algorithms.py
Original file line number Diff line number Diff line change
Expand Up @@ -47,6 +47,7 @@
is_complex_dtype,
is_dict_like,
is_extension_array_dtype,
is_float,
is_float_dtype,
is_integer,
is_integer_dtype,
Expand Down Expand Up @@ -1361,7 +1362,12 @@ def diff(arr, n: int, axis: AxisInt = 0):
shifted
"""

n = int(n)
# added a check on the integer value of period
# see https://github.com/pandas-dev/pandas/issues/56607
if not lib.is_integer(n):
if not (is_float(n) and n.is_integer()):
raise ValueError("periods must be an integer")
n = int(n)
na = np.nan
dtype = arr.dtype

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4 changes: 4 additions & 0 deletions pandas/core/series.py
Original file line number Diff line number Diff line change
Expand Up @@ -72,6 +72,7 @@
)
from pandas.core.dtypes.common import (
is_dict_like,
is_float,
is_integer,
is_iterator,
is_list_like,
Expand Down Expand Up @@ -3102,6 +3103,9 @@ def diff(self, periods: int = 1) -> Series:
--------
{examples}
"""
if not lib.is_integer(periods):
if not (is_float(periods) and periods.is_integer()):
raise ValueError("periods must be an integer")
result = algorithms.diff(self._values, periods)
return self._constructor(result, index=self.index, copy=False).__finalize__(
self, method="diff"
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5 changes: 5 additions & 0 deletions pandas/tests/series/methods/test_diff.py
Original file line number Diff line number Diff line change
Expand Up @@ -10,6 +10,11 @@


class TestSeriesDiff:
def test_diff_series_requires_integer(self):
series = Series(np.random.default_rng(2).standard_normal(2))
with pytest.raises(ValueError, match="periods must be an integer"):
series.diff(1.5)

def test_diff_np(self):
# TODO(__array_function__): could make np.diff return a Series
# matching ser.diff()
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