Comments (2)
@ritchie46 any chance it's from #15879?
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Ah, yes.. That's related. Will take a look.
from polars.
Related Issues (20)
- `broadcast_binary_elementwise` silently truncates rhs to lhs length HOT 1
- Add `enum_as_str` argument to `assert_frame_equal` HOT 1
- .str.split adds leading and trailing empty strings to list result when split by empty string HOT 1
- Continue the very long journey towards PyO3 0.21 Bound<> APIs
- `struct.with_fields` HOT 1
- Change `pl.date_range(...)` error message to suggest `pl.date_ranges(...)` when passed an `Expr` (in a `with_columns(...)` call) HOT 2
- Add ability to `df.sink_ndjson(file_like_object)`
- Ability to choose data type for Categorical storage, U8, U16, instead of only U32 HOT 3
- Add a "not null" semantic to schemas (e.g., `pl.NotNullType(pl.Float32)`)
- Conflicting Polars DataFrame definitions - w/ ConnectorX HOT 1
- CsvReader cannot parse datetime 2016/1/1 0:00 in csv file. HOT 6
- Visualization with Seaborn HOT 2
- polars.Expr.dt.month_end vs polars.Expr.dt.offset_by HOT 10
- Bug report when using hive2 write_database HOT 1
- Failing validation in write_parquet HOT 1
- Type is missing when constructing a list from struct with a datetime field
- Add `Expr.struct.drop(field_list_to_drop: Iterable[str] | pl.Series)`
- Add support for using `Expr` as lookup with `.struct.field(Expr)`
- Scuffed error message when importing parquet with pl.read_csv (by accident) HOT 3
- .extend significantly outperforms concat for the same operation HOT 5
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