Comments (4)
Awesome, thanks a lot! Appreciate it!
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I believe this is going to be a pyright issue. I don't think polars wants to import extra packages just to make pyright happy. @stinodego do I have that right?
from polars.
Ah fair, I don't know quite enough about how it all works to say. Let me know if I should open this issue with pyright!
from polars.
This is probably an issue with our type hints, but I'll have to look into it.
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Related Issues (20)
- Generalized ufunc functions have inconsistent behavior between NumPy and Polars when returning scalars HOT 1
- Non-deterministic and incomplete group_by in 0.20.11 HOT 11
- Infer `time_unit` in `pl.duration` when nanoseconds is specified HOT 6
- [Polars Python 0.20.12] Importing polars fails due to 'RuntimeError: unknown feature flag "pclmulqdq"' HOT 1
- polars version 0.20.12 not available on pypi HOT 2
- Enable Rolling aggregation by Duration HOT 3
- Support for Column-Specific Float Precision HOT 2
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- datatype with `__slots__` breaks copy.deepcopy HOT 2
- ComputeError when writing `Decimal` type to csv using `write_csv` HOT 1
- Slight discrepancies between pl.DataFrame() and pl.from_records() when loading (key, value) data from Python dictionaries
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- Cannot upgrade to 0.38.0: count_rows_ipc not found in this scope HOT 2
- Make polars.Expr.str.replace and polars.Series.str.replace default to similar behavior of built python and rust replace methods HOT 2
- Clarify the use of period = `'1i'` when passing an int-type `index_column` in `.rolling` HOT 5
- Resolve inconsistencies of connection uri / objects in read_database, read_database_uri and write_database HOT 1
- is_between behavior HOT 2
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