Comments (3)
It certainly looks like it ought to work, but can I ask why you are calling it in that manner? For your information, fastparquet does try to guess whether the function passed is actually an fsspec filesystem implementation method, so that must be the difference - you can equally pass fs=
in that case.
from fastparquet.
I am working with both pathlib
and S3 paths in our pipeline and I want to avoid checking before each call which of the two I have. So I implemented an S3Path
analog to pathlib.Path
which has a function similar to the one below:
def open(self, *args, **kwargs):
return S3FileSystem().open(self, *args, **kwargs)
from fastparquet.
I would say this is a genuine bug, and the code deciding what to do with file-like objects versus fsspec-specific files should be revisited. Are you able to do any debugging?
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Related Issues (20)
- BUG: dataframe.empty with non-nano pd.DatetimeTZDtype HOT 2
- a python-3.12 windows wheel HOT 13
- Some `fastparquet`-related tests are failing on Python 3.10 HOT 10
- Regression due to `_from_sequence` HOT 1
- attrs persistance for Pandas HOT 1
- Nullable types for 1 row vs multiple rows HOT 3
- update_file_custom_metadata error when file has no properties.
- schema evolution when writing the row groups does not work HOT 4
- Bug loading parquet files with timezone information HOT 6
- When changing to a larger dtype, its size must be a advisor of the total size in bytes of the last axis of the array HOT 6
- PyArrow will become a required dependency with pandas 3.0
- Option to not close() after write() when writing to buffer HOT 3
- Support zoneinfo.ZoneInfo timezones
- Loading List of List of Strings leads to nans HOT 6
- Upcoming pandas (>2.2.0) raises "read-only" errors HOT 3
- Categorical dtype not preserved with fastparquet-write, pyarrow-read HOT 2
- Numpy 2: OverflowError with int96 HOT 4
- Fastparquet raises on import with numpy 2.0 rc HOT 5
- New release? HOT 4
- Issues with filtering when using to_pandas HOT 4
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