mroeschke opened a new issue, #36677:
URL: https://github.com/apache/arrow/issues/36677
### Describe the bug, including details regarding any error messages,
version, and platform.
```
>>> import pyarrow as pa
>>> pa.__version__
'12.0.1'
>>> pa.scalar(43260.0).cast(pa.time32("s"))
<pyarrow.Time32Scalar: datetime.time(12, 1)>
>>> pa.__version__
'13.0.0.dev497'
>>> pa.scalar(43260.0).cast(pa.time32("s"))
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "pyarrow/scalar.pxi", line 91, in pyarrow.lib.Scalar.cast
File
"/opt/miniconda3/envs/pyarrow-pandas-dev/lib/python3.11/site-packages/pyarrow/compute.py",
line 403, in cast
return call_function("cast", [arr], options, memory_pool)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/_compute.pyx", line 572, in pyarrow._compute.call_function
File "pyarrow/_compute.pyx", line 367, in pyarrow._compute.Function.call
File "pyarrow/error.pxi", line 144, in
pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 121, in pyarrow.lib.check_status
pyarrow.lib.ArrowNotImplementedError: Unsupported cast from double to time32
using function cast_time32
```
Not sure if this will be an intentional change, but it appears casting from
double to temporal types has changed. In theory for the example above `43260.0`
can be cast exactly back to `datetime.time(12, 1)`. I could see how for a value
like `43260.1` there would be implicit rounding in pyarrow 12
### Component(s)
Python
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