哪些pandas 方法具有 engine_kwargs 来支持 numba?fee*_*wet 3 pandas numba 这个pandas 文档指出,可以“在选择 pandas 方法中numba”使用,并且“支持的方法也将有一个关键字...”engine="numba"engine_kwargs 这些选择的 pandas 方法是什么?某处有一个列表吗? (请注意,这并不简单:该页面上提供的示例显示了...
date_format: str | None = None, datetime_format: str | None = None, mode: str = "w", storage_options: StorageOptions = None, if_sheet_exists: Literal["error", "new", "replace", "overlay"] | None = None, engine_kwargs: dict | None = None, **kwargs, ): ...
*args表示任何多个无名参数，它是一个tuple；**kwargs表示关键字参数，它是一个dict。并且同时使用*args...
BUG: Gettinggot an unexpected keyword argument 'engine_kwargs'when doing groupby in 12.1.0#55006 New issue 0x26res Pandas version checks I have checked that this issue has not already been reported. I have confirmed this bug exists on thelatest versionof pandas. ...
函数deprecated，意味着不建议再使用它。通常，deprecated函数有替代，在你的情况下engine_kwargs是你函数...
aggregate("size", "some", "args", engine=0, engine_kwargs="not valid", other_kwarg="") # no error despite `engine` as `engine_kwargs` not being valid types for those kw-only args Expected: mypy error: No overload variant of "aggregate" of "DataFrameGroupBy" matches argument types...
df.apply(np.nanquantile, q=0.5, raw=True, engine="numba") In this case, we dynamically defines: @register_jitable def nb_compat_func(values, q=0.5): return user_func(values, q=q) which holds the **kwargs and the only required argument is values and this nb_compat_func will be ...