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What
make BaseNominalTransformer polars compatible while maintaining backwards compatibility with pandas.
Why?
Making the project polars compatible for speed benefits. [Narwhals ](https://git…
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**What**
make ModeImputer polars compatible while maintaining backwards compatibility with pandas.
**Why?**
Making the project polars compatible for speed benefits. [Narwhals](https://github.…
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**What**
Identify the appropriate testing strategy for transformers which use narwhals for pandas/polars compatibility.
**Why?**
We currently test using pandas dataframes as inputs across the…
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**Describe the bug**
This is my first bug in report in an open source repo, so I apologize in advance if it's not done adequately.
The flag `Column(drop_invalid_rows=True)` has no effect when va…
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Most of the data ingestion utilities (`pd.read_csv`, `pd.read_parquet`, `pd.read_sql`) since Pandas 2.2 include a `dtype_backend='pyarrow'` option to use PyArrow types instead of NumPy backend.
It …
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Specification and API consolidation discussion related to `polars` support for probabilistic predictions.
PR https://github.com/sktime/skpro/pull/399 makes it clear that, for full `polars` support,…
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### Description
FLASC makes extensive use of pandas. Currently many of the scripts in flasc use warning suppressions, and many of these are warning about changes made to copies to dataframes. Beg…
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## Description
It would be great to have Polars implementations of SQLQueryDataset and SQLTableDataset, similar to the Pandas versions: [pandas.SQLTableDataset](https://docs.kedro.org/projects/kedro-…
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https://www.freecodecamp.org/learn/data-analysis-with-python/data-analysis-with-python-course/pandas-dataframes
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Dataframes are awesome. Do we want to support them?
This would mean either switching over from numpy recarrays completely or adding an abstraction layer that can handle both..