Comments (2)
cmdlineluser
commented on June 21, 2024
1
It is accessible via list.eval()
s = pl.Series([[1, 2, 3]])
s.list.eval(
pl.element().map_elements(lambda n:
f"func({n + 1})",
return_dtype=pl.String
)
)
# shape: (1,)
# Series: '' [list[str]]
# [
# ["func(2)", "func(3)", "func(4)"]
# ](But probably a performance destroyer.)
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DeflateAwning
commented on June 21, 2024
Would you consider adding it as its own method? Would make it a bit cleaner imo
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Related Issues (20)
- `df.group_by(series).agg(...)` fails if df was built using `pl.concat` (ShapeError) HOT 2
- `concat_list` PanicException inside `agg()`
- A regression in numpy-to-series conversion
- PanicException when using `collect(streaming=True)` on an empty `.parquet` file with joins.
- Regression: `.collect()` no longer generates `unexpected keywords` error. HOT 1
- Shift() fails if the argument is contained in a column HOT 1
- Support boolean iterable for argument `descending` in `DataFrame.set_sorted()`
- polars.exceptions.ComputeError: could not append value: "2024-03-05T17:39:39Z" of type: str to the builder; make sure that all rows have the same schema or consider increasing `infer_schema_length` HOT 1
- Re-aliasing existing `LazyFrame` column name does not return the last version HOT 2
- dt.trunctate is 3-4x slower in polars compared to pandas HOT 2
- `.struct.with_fields` PanicException inside `agg`
- add `show` method for syntax compatibility with pyspark/duckdb/etc dataframe API
- `gather` in `agg` context gathers values from other groups
- ShapeError: filter's length: 155 differs from that of the series: 0 HOT 9
- Version 0.20.30 bug HOT 4
- `.list.to_array()` fails if first element of a list column is excluded HOT 2
- `scan_parquet` + `with_row_index` causing `pl.len()` to return 0 HOT 1
- full join with coalesce=True panics if more key expressions are used than columns in a frame
- LazyFrames containing nested List types will cause panic in `collect()` HOT 1
- Another "coalesce=False" `join` schema issue HOT 2
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