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fix : skip memoizing 0,1,True,False in sanitization function #62226

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fix : skip memoizing 0,1,True,False in sanitization function #62226

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6047584
fix : remove memo usage
vignesh14052002 Aug 31, 2025
6eb738a
fix linting
vignesh14052002 Aug 31, 2025
3078807
include type in memo key to handle 0,1,True and False conflict
vignesh14052002 Sep 3, 2025
2aa4a01
skip memoization for 0,1,True,False
vignesh14052002 Sep 11, 2025
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3 changes: 3 additions & 0 deletions pandas/_libs/parsers.pyx
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Original file line number Diff line number Diff line change
Expand Up @@ -2132,6 +2132,9 @@ def sanitize_objects(ndarray[object] values, set na_values) -> int:
if val in na_values:
values[i] = onan
na_count += 1
elif val in [0, 1, True, False]:
# Skip memoization, since 1==True and 0==False
values[i] = val
elif val in memo:
values[i] = memo[val]
else:
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11 changes: 11 additions & 0 deletions pandas/tests/io/parser/common/test_common_basic.py
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Expand Up @@ -15,6 +15,7 @@

from pandas._config import using_string_dtype

from pandas._libs import parsers as libparsers
from pandas.compat import HAS_PYARROW
from pandas.errors import (
EmptyDataError,
Expand Down Expand Up @@ -830,3 +831,13 @@ def test_read_seek(all_parsers):
actual = parser.read_csv(file)
expected = parser.read_csv(StringIO(content))
tm.assert_frame_equal(actual, expected)


def test_dtype_conversion_in_sanitization():
# GH60088
values = np.array([1, True], dtype=object)
expected = np.array([1, True], dtype=object)
libparsers.sanitize_objects(values, na_values=set())
for v, e in zip(values, expected):
assert v == e
assert type(v) == type(e)
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