Related Issues (20)
- Categorical revmaps are not merged when concatenated inside a struct
- Install slack app to allow subscription
- write_parquet encoding no longer recognized by PBI Service parquet connector after Polars 1.5.0 onwards HOT 2
- Join fails for scanned lazyframes when `streaming=True` HOT 3
- Schema assumes the column order in the data when reading a CSV HOT 3
- Row Group Based Subtotals with .group_by() HOT 2
- High memory usage when calculating variance? HOT 1
- write_csv ignores formatting when writing to io.StringIO() HOT 3
- `read_csv` raises ComputeError when filename contains "[" HOT 1
- Performance regression (particularly in q21 of the TPC-H benchmark, +60%) after specific commit HOT 1
- bug: plotting breaks when `axis` is passed to `alt.X` HOT 3
- `pl.Array` + `pl.lit` PanicException Cannot apply operation on arrays of different lengths HOT 7
- GPU accelerated Polars taking 4 times longer to SUM a column in 100m record CSV than regular CPU. Running in Jupyter Notebook HOT 6
- Filtering with pl.col is substantially (27x) slower than filtering with pl.Series HOT 3
- Ability to `sink` lazy datasets to `STDOUT` or to files
- Panicking with "Unreachable code" when passing a DataFrame into `DataFrame.drop` HOT 1
- Polars produce wrong result in streaming mode HOT 2
- Consider removing unnecessary projection for single key join followed by `.select(pl.len())` HOT 1
- Initializing a struct series with an array type field using Numpy arrays results in nulls
- `Series` constructor is not strict for nested lists
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