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BUG: Fix windowing over read-only arrays #27767

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Aug 6, 2019
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1 change: 1 addition & 0 deletions doc/source/whatsnew/v0.25.1.rst
Original file line number Diff line number Diff line change
Expand Up @@ -118,6 +118,7 @@ Groupby/resample/rolling
^^^^^^^^^^^^^^^^^^^^^^^^

- Bug in :meth:`pandas.core.groupby.DataFrameGroupBy.transform` where applying a timezone conversion lambda function would drop timezone information (:issue:`27496`)
- Bug in windowing over read-only arrays (:issue:`27766`)
-
-

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7 changes: 5 additions & 2 deletions pandas/core/window.py
Original file line number Diff line number Diff line change
Expand Up @@ -246,8 +246,11 @@ def _prep_values(self, values: Optional[np.ndarray] = None) -> np.ndarray:
except (ValueError, TypeError):
raise TypeError("cannot handle this type -> {0}".format(values.dtype))

# Always convert inf to nan
values[np.isinf(values)] = np.NaN
# Convert inf to nan for C funcs
inf = np.isinf(values)
if inf.any():
values = values.copy() # GH-27766, Don't write into user's data
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comment on previous line.

is the issue that we dont want to overwrite user's data, or that the user might pass read-only array?

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Mmm, actually yeah, it's the first.

values[inf] = np.nan

return values

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7 changes: 7 additions & 0 deletions pandas/tests/window/test_rolling.py
Original file line number Diff line number Diff line change
Expand Up @@ -326,3 +326,10 @@ def test_rolling_axis_count(self, axis_frame):

result = df.rolling(2, axis=axis_frame).count()
tm.assert_frame_equal(result, expected)

def test_readonly_array(self):
arr = np.array([1, 3, np.nan, 3, 5])
arr.setflags(write=False)
tm.assert_series_equal(
pd.Series(arr).rolling(2).mean(), pd.Series([np.nan, 2, np.nan, np.nan, 4])
)