Also, I don't know if this is useful information but it seems to happen with every data type in the source dataframe (int, float, datetime, etc...) Expected behavior merge operation successfully completed Installed versions ---Version info--- Polars: 1.19.0 Index type: UInt32 Platform: W...
我可以取出该列并在pandas中完成它,使用tz_convert并将该列添加回polars,但是如果有一种方法可以在polars中这样做,那就太好了:) 浏览18提问于2022-09-25得票数 1 回答已采纳 1回答 AttributeError:“DataFrame”对象没有特性“”to_datetime“” 、、 我想将我的pandas数据框' time‘列中的所有项目从UTC转换...
The test failure seems to be because that to_pandas of polars requires pyarrow as well: https://docs.pola.rs/api/python/stable/reference/dataframe/api/polars.DataFrame.to_pandas.html, should we just skip the tests of polars when pyarrow is not installed, or try find a workaround? adrinjal...
nan_to_null=True stops converting nans to nulls after the dataframe grows to a certain size. This did not happen in polars==0.20.10 Expected behavior nan_to_null=True should behave exactly as pl.from_pandas().with_columns(cs.float().fill_nan(None)) Installed versions ---Version info...
Compatible with Pandas, DuckDB, Polars, Pyarrow, and Ray with more integrations on the way. Documentation•Blog•Discord•X Lance is a modern columnar data format that is optimized for ML workflows and datasets. Lance is perfect for: ...
Ecosystem integrations: Apache Arrow, Pandas, Polars, DuckDB and more on the way. Tip Lance is in active development and we welcome contributions. Please see our contributing guide for more information. Quick Start Installation pip install pylance To install a preview release: pip install --pre ...