Comments (1)
Fixed in dask dask/dask#1774
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Related Issues (20)
- AttributeError: 'ParquetFile' object has no attribute '_columns_dtype' when reading files without pandas metadata HOT 1
- Incorrect value returned for overflow timestamps in micros format for V1 footers HOT 4
- row_filter=True fails if parquet file wasn't made by fastparquet HOT 1
- ValueError: Seek before start of file using custom open_with function or S3 file object HOT 3
- pandas nullable opt-out not working as intented HOT 3
- API Documentation Page Is Empty HOT 1
- Potential Parquet File Metadata Corruption After Process Timeout HOT 7
- Fastparquet not outputting DATE logical type while using to_parquet of pandas HOT 4
- fastparquet encoding issue. HOT 20
- BUG: reading boolean column with RLE encoding gives wrong values HOT 4
- fastparquet cannot read a categorical column that contains NaNs only HOT 2
- to_pandas(): cramjam.DecompressionError: snappy: output buffer (size = 262144) is smaller than required (size = 1048576) HOT 1
- 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
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