Comments (2)
Thanks for the report. Could you try this on the latest version of rapids (24.08)? I get the expected result there
>>> import cudf
>>> cudf.DataFrame(index=range(4)).to_arrow(preserve_index=True)
pyarrow.Table
__index_level_0__: int64
----
__index_level_0__: [[0,1,2,3]]
>>> cudf.__version__
'24.08.02'
from cudf.
same, looks like the problem is fixed on the latest version (24.08). thanks!
from cudf.
Related Issues (20)
- [BUG] low memory json reader running into an `OverflowError` HOT 2
- [FEA] Allow to run groupby/reduction with externally derived aggregations HOT 1
- [BUG] `cudf.testing.assert_*_equal` raises AssertionError for equivalent `DecimalDtype`d objects HOT 3
- [FEA] Please expose `int2ip` as a public method
- [BUG] Series.duplicated doesn't preserve name HOT 1
- [FEA] Make cudftestutil a header-only package HOT 1
- [BUG] Intermittent bug decompressing files in the parquet reader in 24.08. HOT 3
- [BUG] Error with batched multi-source JSON read with >1 MB per row HOT 1
- [FEA][JNI] Move to RMM apis get_current_device_resource_ref and set_current_device_resource_ref HOT 1
- [FEA] Add libcudf cudf::get_current_device_resource() wrapper for rmm::get_current_device_resource() HOT 1
- [BUG] CUDF JNI build failed FindBoost HOT 4
- [FEA] Support JNI build in rapids dev container HOT 2
- [FEA] Report all unsupported operations for a query in cudf-polars
- [BUG] UnicodeDecodeError: 'cp949' codec can't decode byte 0xf0 in position 2252: illegal multibyte sequence HOT 1
- [FEA] Make TPC-H derived datagen reuse random column generation functions already present in benchmark utils
- [BUG] illegal access error in mixed_join after ODR cleanup PR HOT 1
- [FEA] Change from TPC-H to NDS-H
- [FEA] Add multi-threaded Parquet read example
- [FEA] Increase the default thread count for kvikIO file reads HOT 2
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from cudf.