jorisvandenbossche commented on code in PR #35656:
URL: https://github.com/apache/arrow/pull/35656#discussion_r1222679059
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python/pyarrow/types.pxi:
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@@ -40,10 +42,20 @@ cdef dict _pandas_type_map = {
_Type_HALF_FLOAT: np.float16,
_Type_FLOAT: np.float32,
_Type_DOUBLE: np.float64,
- _Type_DATE32: np.dtype('datetime64[ns]'),
- _Type_DATE64: np.dtype('datetime64[ns]'),
- _Type_TIMESTAMP: np.dtype('datetime64[ns]'),
- _Type_DURATION: np.dtype('timedelta64[ns]'),
+ _Type_DATE32: np.dtype('datetime64[D]'),
Review Comment:
> several pyarrow dataset tests are failing because datasets with [D]ay
units are being converted to [ms] units
Can you point to which test is failing? Because this is about conversion
from pyarrow to pandas, right? (not arrow<->parquet roundtrip, which should be
able to preserve our date32 type because we store the arrow schema)
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