Related Issues (20)
- Read_json panics when infer_schema_length = 0
- `explain(streaming=True)` isn't showing correct plan
- Data in csv files with less columns than schema shifts data. HOT 4
- Add the argument `ignore_nulls` in `.arr.all()`, `.arr.any()`, `.list.all()` and `.list.any()`
- read_database_uri panics for dates beyond 2262.04.11 HOT 2
- Move streaming engine original plan to separate field on the `IRPlan`
- Write upgrade guide for 1.0.0
- Polars is unable to parse dates beyond 2262.04.11 HOT 1
- Make a ParquetWriter context handler and/or more control over row group creation
- Casting to float32, int32, int16 and int8 in polars is slower than pandas in larger dfs HOT 4
- Interpolate based on other Float64 column HOT 3
- Comparing 0 with UInt64 values larger than Int64::MAX incorrectly return NULL
- `read_csv` ignores the `columns` parameter when reading an empty CSV file with header HOT 1
- Inconsistent XOR when using literals
- `pl.concat_str(...)`'s `ignore_nulls` arg field
- In `pl.read_csv(...)`, allow `separator=None` in order to read everything into only a single column HOT 1
- pl.DataFrame loads in 2D lists in unexpected way HOT 5
- `join_asof` breaks with certain parquet files (I think due to memory layout or something?) HOT 2
- Expressions result in different serializations across Python Polars PATCH version upgrades HOT 1
- Add inline XOR (`^`) operator for selectors HOT 3
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from polars.