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Comments (2)

MarcoGorelli avatar MarcoGorelli commented on August 27, 2024 1

thanks for checking - looks like it's not a bug in pyarrow, but just that pyarrow's method does something different

https://arrow.apache.org/docs/python/generated/pyarrow.compute.microsecond.html

Millisecond returns number of microseconds since the last full millisecond

So, I think this needs working around in pandas

from pandas.

Aloqeely avatar Aloqeely commented on August 27, 2024

This looks like an issue with pyarrow.

In [2]: import pyarrow as pa

In [3]: s = pd.Series(pd.date_range('2000', periods=3, freq='15ms'))

In [4]: pa.Array.from_pandas(s)
Out[4]:
<pyarrow.lib.TimestampArray object at 0x00000183A8E793C0>
[
  2000-01-01 00:00:00.000000000,
  2000-01-01 00:00:00.015000000,
  2000-01-01 00:00:00.030000000
]

In [5]: pa.compute.microsecond(pa.Array.from_pandas(s))
Out[5]:
<pyarrow.lib.Int64Array object at 0x00000183A8E7BDC0>
[
  0,
  0,
  0
]

from pandas.

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