Comments (3)
You must downgrade to numpy 1.0. We don't support numpy 2.0 yet. In the next release Polars has pinned the optional numpy dependency to 1.0
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Closing in favor of #16998
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I am not sure the issue is related to pyarrow, plotly or polars. Maybe there was some upgrade on pyarrow which requires reworking the unsafe bindings?
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Related Issues (20)
- `pl.Expr.list.get` raises error on null values. HOT 5
- polars.read_delta from a GCP bucket using service account
- `scan_parquet` expects columns to be in the same order iff `POLARS_FORCE_ASYNC=1` or scanning against cloud, local works regardless of ordering HOT 1
- PanicException when doing a `scan_parquet` on files with mismatching schemas HOT 1
- Loading wide parquet data with `scan_parquet` is orders of magnitude slower than long data HOT 4
- `pl.Expr`.sort_by('date').over("code") doesn't sort in fact. HOT 4
- Fix broken links to unpivot (was melt) HOT 4
- Combine `engine_options` and `read_options` into a single parameter in `read_excel` HOT 6
- Deprecate `LazyFrame.fetch`
- Fill_null() does not cast ALL Null values to other dtype(Nested Dataclass) HOT 1
- DataFrame arithmetic PanicException when lengths differ
- `.list.gather` PanicException unreachable code when invalid argument given
- Standardize references to "null" in methods HOT 9
- Migrate to PyO3 0.22 HOT 2
- Panic when streaming unsupported datatypes to CSV
- BinViewChunkedBuilder has incorrect docs
- Series.hist resulting series name changes with include_breakpoint=False, include_category=False HOT 2
- Series.hist adds two bins when specifying bins HOT 1
- data spilled to disk not cleaned up on failure HOT 1
- Cannot serialize polars.LazyFrame (`Expr::RenameAlias cannot be serialized`)
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