ENH: Update pandas read_* funcions of dtype_backend param with pyarrow
#843
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- Renamed 'use_arrow_dtype' to 'dtype_backend' in read_parquet and updated related logic to align with pandas and Dask.
- Adjusted read_csv and read_sql files to ensure compatibility and reflect the new parameter where applicable.
- Added relevant documentation updates to reflect these changes.
This change aims at providing a consistent user experience across pandas, Dask, and xorbits by adopting the 'dtype_backend' parameter.
…naweiben/xorbits into feature/dtype-backend-update
Fix segmentation fault in tensor operations by adding version constraints for numpy and pyarrow in Python 3.11 test environment. The issue occurs in numpy.searchsorted when used with newer versions of numpy (>=2.2.0) and pyarrow (>=19.0.0) in tensor-related tests.
…to feature/dtype-backend-update
hainaweiben
changed the title
Codecov ReportAll modified and coverable lines are covered by tests ✅
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## main #843 +/- ##
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- Coverage 82.04% 82.03% -0.01%
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Files 1071 1071
Lines 80153 80155 +2
Branches 12202 12203 +1
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+ Misses 12837 12830 -7
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luweizheng
requested changes
Feb 1, 2025
luweizheng
reviewed
Feb 1, 2025
luweizheng
reviewed
Feb 1, 2025
…e `dtype_backend` parameter across the DataFrame-related functionalities in Xorbits.
- Change the parameter "use_arrow_dtype" to "dtype_backend" in the benchmark.
…to feature/dtype-backend-update
|
The optional values for the parameter |
luweizheng
changed the title
dtype_backend param of read_* with pyarrow engine
luweizheng
changed the title
dtype_backend param of read_* with pyarrow enginedtype_backend param with pyarrow
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What do these changes do?
Update dtype_backend parameter for consistency with pandas
use_arrow_dtypetodtype_backendin read_parquet and updated related logic to align with pandas and Dask.This change aims at providing a consistent user experience across pandas, Dask, and xorbits by adopting the
dtype_backendparameter.Related issue number
Fixes #770
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