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Fix dataframe.replace when columns contain pd.na #49988

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Fix dataframe.replace when columns contain pd.na #49988

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4 changes: 3 additions & 1 deletion pandas/core/missing.py
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Original file line number Diff line number Diff line change
Expand Up @@ -88,12 +88,14 @@ def mask_missing(arr: ArrayLike, values_to_mask) -> npt.NDArray[np.bool_]:

# GH 21977
mask = np.zeros(arr.shape, dtype=bool)
arr_mask_na = ~isna(arr)
for x in nonna:
if is_numeric_v_string_like(arr, x):
# GH#29553 prevent numpy deprecation warnings
pass
else:
new_mask = arr == x
new_mask = np.zeros_like(arr, dtype=bool)
new_mask[arr_mask_na] = arr[arr_mask_na] == x
if not isinstance(new_mask, np.ndarray):
# usually BooleanArray
new_mask = new_mask.to_numpy(dtype=bool, na_value=False)
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