Comments (1)
Thanks for the report.
This is a duplicate of #12876
from polars.
Related Issues (20)
- Add `.dt.replace()` to alter date/datetime values HOT 3
- LazyFrame.head(n) raises exception when there are errors after the first n rows.
- Non-strict data frame creation
- Thousand separator automatically added to write-delta(pl.df)
- Cache Common Subgraph Evaluation in Lazy Mode HOT 1
- The output of `hive_partitioning=False` differs in `scan_ipc()` and `scan_parquet()` HOT 4
- In `scan_parquet()` and `scan_ipc()` with multiple partitioning columns, `hive_schema` fails converting Float to String
- Why do the two results differ with different sort orders before group_by? HOT 8
- Join result cannot be used in `with_context` for LazyFrame HOT 4
- CSE not applied for large map in `.replace_strict()` HOT 1
- polars write_excel how to cancel drop-down list HOT 1
- Parquet nested slice pushdown gives incorrect results
- pl.LazyDataFrame.slice has a buggy behaviour with non scalar columns. HOT 1
- `read_ndjson()` and `read_parquet()` behave differently when the input is a list of files with different schemas HOT 1
- pl.from_numpy produces column with null dtype when input array is empty HOT 3
- equals lacks functionality that polars.testing.assert_frame_equal has HOT 6
- Polars drops pyarrow field-level metadata HOT 4
- Turn off CSE for new streaming engine
- Reading wide parquet is 25x slower with polars than pyarrow HOT 4
- In read_csv convert too long separator, quote_char, and/or eol_char to valid char HOT 2
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from polars.