Comments (1)
Personally, as you can see form #1, I have implemented the majority of the functionality I originally planned for. I do not expect the structure to change much in the medium term.
Having said that, the package is very new, and has not been subjected to too much real-world testing (to my knowledge), so further bugs are certainly expected, and should be fixed as they come along.
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Related Issues (20)
- 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
- No wheel file for fastparquet 2024.5.0 for Python 3.12 and Windows HOT 4
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