Method from_df

qlib/data/dataset/handler.py:766–786

Motivation: - When user want to get a quick data handler. The created data handler will have only one shared Dataframe without processors. After creating the handler, user may often want to dump the handler for reuse Here is a typical use case .. co

(cls, df: pd.DataFrame)

    @classmethod
    def from_df(cls, df: pd.DataFrame) -> "DataHandlerLP":
        """
        Motivation:
        - When user want to get a quick data handler.

        The created data handler will have only one shared Dataframe without processors.
        After creating the handler, user may often want to dump the handler for reuse
        Here is a typical use case

        .. code-block:: python

            from qlib.data.dataset import DataHandlerLP
            dh = DataHandlerLP.from_df(df)
            dh.to_pickle(fname, dump_all=True)

        TODO:
        - The StaticDataLoader is quite slow. It don't have to copy the data again...

        """
        loader = data_loader_module.StaticDataLoader(df)
        return cls(data_loader=loader)