Comments (1)
Yeah I am not too happy with this message. It should be improved.
from polars.
Related Issues (20)
- Add `polars.Expr.list.drop_nans()` HOT 2
- `read_parquet` don't recognize OSS url scheme
- Not clear if Parquet statistics are used when filter applied
- `bottom_k` should not include nulls if the column contains at least `k` valid elements
- Construct CsvReader from bytestream using CsvReadOptions
- segfault when reading msql using arrow-odbc HOT 1
- `implode` results in extra level of nesting when run within a `group_by(...).agg` HOT 2
- Support reading directly from zipfile.Path objects.
- 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 1
- 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 3
- Interpolate based on other Float64 column HOT 3
- Comparing 0 with UInt64 values larger than Int64::MAX incorrectly return NULL
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