Marco Edward Gorelli
Marco Edward Gorelli
Currently, we have one complete example in which we create a standard scaler: https://narwhals-dev.github.io/narwhals/basics/complete_example/ It would be nice to add a second example, in which we make a plot of...
We currently have `IntoDataFrame`, meaning "something which can be converted to a narwhals DataFrame". We should have the same for Series
Here's the project: https://github.com/fairlearn/fairlearn I'd be curious to see if it could be Narwhalified **Important note**: please do **not** make any PRs to fairlearn itself. This is just intended as...
in pandas this does something really strange ```python In [3]: pd.to_datetime(['2020', None]).astype('int64') Out[3]: Index([1577836800000000000, -9223372036854775808], dtype='int64') ``` Users shouldn't be relying on phyisical representations anyway, we should nudge them towards...
https://docs.pola.rs/py-polars/html/reference/expressions/api/polars.when.html
### Modin version checks - [X] I have checked that this issue has not already been reported. - [X] I have confirmed this bug exists on the latest released version...
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Some results: https://www.kaggle.com/code/marcogorelli/m5-forecasting-feature-engineering-benchmark
The [M5 Forecasting Competition](https://www.sciencedirect.com/science/article/pii/S0169207021001874) was held on Kaggle in 2020, and top solutions generally featured a lot of heavy feature engineering Doing that feature engineering in pandas was quite slow,...
Setting the name in the result of a polars plugin has no effect, because Polars just follows the left-hand-rule (or whichever alias the user passes) is this mentioned in the...