docs: use type hints + from_native/to_native in dataframe.py #1425
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narwhals/dataframe.py
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| >>> data = {"a": [1, 2, 3], "ba": [4, 5, 6]} | ||
| >>> df_pd = pd.DataFrame(data) | ||
| >>> df_pl = pl.DataFrame(data) | ||
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| Let's define a dataframe-agnostic function: | ||
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| >>> @nw.narwhalify | ||
| ... def func(df): | ||
| >>> def agnostic_pipe(df_native: IntoFrame) -> IntoFrame: |
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can we use IntoFrameT? this signals that we return the same kind of object that we started with
narwhals/dataframe.py
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| >>> @nw.narwhalify | ||
| ... def func(df): | ||
| ... return df.drop_nulls() | ||
| >>> def agnostic_drop_nulls(df_native: IntoFrame) -> IntoFrame: |
narwhals/dataframe.py
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| >>> @nw.narwhalify | ||
| ... def func(df): | ||
| ... return df.pipe(lambda _df: _df.select("a")) | ||
| >>> def agnostic_pipe(df_native: IntoFrame) -> IntoFrame: |
narwhals/dataframe.py
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| >>> @nw.narwhalify | ||
| ... def func(df): | ||
| ... return df.drop_nulls() | ||
| >>> def agnostic_drop_nulls(df_native: IntoFrame) -> IntoFrame: |
narwhals/dataframe.py
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| >>> @nw.narwhalify | ||
| ... def func(df): | ||
| ... return df.with_row_index() | ||
| >>> def agnostic_with_row_index(df_native: IntoFrame) -> IntoFrame: |
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