Related Issues (20)
- Add Pandas `.compare()` Functionality
- Add `precision` parameter to `.cut()` and `.qcut()` HOT 1
- `mean` and `median` for `pl.Duration` should return a duration
- Polars cannot read Parquet files written by Spark HOT 2
- For data types, hashing is not consistent with equality HOT 1
- The `dtype` argument of `Series` does not enforce the actual dtype HOT 3
- Numpy datetime scalars are not recognized HOT 1
- Feature request: `explode` option/alternative that does not map empty lists to `null` HOT 14
- Lazy processing throws error when equivalent nonlazy code does not HOT 1
- Group by and selectors not working with head()
- Enable retries on connection reset by peer when doing scan_parquet against an object store HOT 16
- `read_csv`: `dtypes` not working and very confusing
- Rework `schema` / `dtypes` / `schema_overrides` for a better user experience HOT 1
- add the typing_extensions.deprecated decorater to deprecated functions so that static type checkers can report them. HOT 8
- Polars + fastexcel fails to load excel file HOT 3
- Faster parquet partitioning scheme HOT 15
- read_csv followed by map_elements panics when number of rows exceeds threshold HOT 5
- Support reading from cloud storage in pl.read_excel() via fsspec
- map_elements(..., strategy='cabbage') doesn't raise
- `map_groups` no longer works when passing a list of column names to `group_by` HOT 5
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