Method append_to_multiple

pandas/io/pytables.py:1418–1513

Append to multiple tables Parameters ---------- d : a dict of table_name to table_columns, None is acceptable as the values of one node (this will get all the remaining columns) value : a pandas object selector : a string that designates

(
        self,
        d: dict,
        value,
        selector,
        data_columns=None,
        axes=None,
        dropna: bool = False,
        **kwargs,
    )

        )

    def append_to_multiple(
        self,
        d: dict,
        value,
        selector,
        data_columns=None,
        axes=None,
        dropna: bool = False,
        **kwargs,
    ) -> None:
        """
        Append to multiple tables

        Parameters
        ----------
        d : a dict of table_name to table_columns, None is acceptable as the
            values of one node (this will get all the remaining columns)
        value : a pandas object
        selector : a string that designates the indexable table; all of its
            columns will be designed as data_columns, unless data_columns is
            passed, in which case these are used
        data_columns : list of columns to create as data columns, or True to
            use all columns
        dropna : if evaluates to True, drop rows from all tables if any single
                 row in each table has all NaN. Default False.

        Notes
        -----
        axes parameter is currently not accepted

        """
        if axes is not None:
            raise TypeError(
                "axes is currently not accepted as a parameter to append_to_multiple; "
                "you can create the tables independently instead"
            )

        if not isinstance(d, dict):
            raise ValueError(
                "append_to_multiple must have a dictionary specified as the "
                "way to split the value"
            )

        if selector not in d:
            raise ValueError(
                "append_to_multiple requires a selector that is in passed dict"
            )

        # figure out the splitting axis (the non_index_axis)
        axis = next(iter(set(range(value.ndim)) - set(_AXES_MAP[type(value)])))

        # figure out how to split the value
        remain_key = None
        remain_values: list = []
        for k, v in d.items():
            if v is None:
                if remain_key is not None:
                    raise ValueError(