davlee1972 opened a new issue, #38485:
URL: https://github.com/apache/arrow/issues/38485
### Describe the bug, including details regarding any error messages,
version, and platform.
This seems to be a problem on windows with hard drive letters:
You can read a dataset without partitioning, but it you try to add
partitioned columns it complains it can't parse the "c:" drive letter
```
>>> my_dataset = ds.dataset(files)
>>> my_dataset.files
['c:/prices_parquet/2011/10/17/prices.0.parquet',
'c:/prices_parquet/2011/11/19/prices.0.parquet',
'c:/prices_parquet/2011/12/31/prices.0.parquet',
'c:/prices_parquet/2011/9/19/prices.0.parquet',
'c:/prices_parquet/2012/1/5/prices.0.parquet']
>>>
>>> p = ds.partitioning(schema=pa.schema([pa.field("as_of_year",
pa.int32()), pa.field("as_of_month", pa.int32()), pa.field("as_of_day",
pa.int32())]))
>>> my_dataset2 = ds.dataset(my_dataset.files, partitioning = p)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\Users\????\Anaconda3\lib\site-packages\pyarrow\dataset.py", line
766, in dataset
return _filesystem_dataset(source, **kwargs)
File "C:\Users\????\Anaconda3\lib\site-packages\pyarrow\dataset.py", line
456, in _filesystem_dataset
return factory.finish(schema)
File "pyarrow\_dataset.pyx", line 2752, in
pyarrow._dataset.DatasetFactory.finish
File "pyarrow\error.pxi", line 144, in
pyarrow.lib.pyarrow_internal_check_status
File "pyarrow\error.pxi", line 100, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: error parsing 'c:' as scalar of type int32
```
Hive partitioning works fine..
### Component(s)
Python
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