Method append

pandas/io/pytables.py:1290–1416

Append to Table in file. Node must already exist and be Table format. Parameters ---------- key : str Key of object to append. value : {Series, DataFrame} Value of object to append. format : 'table' is the default

(
        self,
        key: str,
        value: DataFrame | Series,
        format=None,
        axes=None,
        index: bool | list[str] = True,
        append: bool = True,
        complib=None,
        complevel: int | None = None,
        columns=None,
        min_itemsize: int | dict[str, int] | None = None,
        nan_rep=None,
        chunksize: int | None = None,
        expectedrows=None,
        dropna: bool | None = None,
        data_columns: Literal[True] | list[str] | None = None,
        encoding=None,
        errors: str = "strict",
    )

        return s.delete(where=where, start=start, stop=stop)

    def append(
        self,
        key: str,
        value: DataFrame | Series,
        format=None,
        axes=None,
        index: bool | list[str] = True,
        append: bool = True,
        complib=None,
        complevel: int | None = None,
        columns=None,
        min_itemsize: int | dict[str, int] | None = None,
        nan_rep=None,
        chunksize: int | None = None,
        expectedrows=None,
        dropna: bool | None = None,
        data_columns: Literal[True] | list[str] | None = None,
        encoding=None,
        errors: str = class="st">"strict",
    ) -> None:
        class="st">"""
        Append to Table in file.

        Node must already exist and be Table format.

        Parameters
        ----------
        key : str
            Key of object to append.
        value : {Series, DataFrame}
            Value of object to append.
        format : &class="cm">#x27;table' is the default
            Format to use when storing object in HDFStore.  Value can be one of:

            ``&class="cm">#x27;table'``
                Table format. Write as a PyTables Table structure which may perform
                worse but allow more flexible operations like searching / selecting
                subsets of the data.
        axes : default None
            This parameter is currently not accepted.
        index : bool, default True
            Write DataFrame index as a column.
        append : bool, default True
            Append the input data to the existing.
        complib : default None
            This parameter is currently not accepted.
        complevel : int, 0-9, default None
            Specifies a compression level for data.
            A value of 0 or None disables compression.
        columns : default None
            This parameter is currently not accepted, try data_columns.
        min_itemsize : int, dict, or None
            Dict of columns that specify minimum str sizes.
        nan_rep : str
            Str to use as str nan representation.
        chunksize : int or None
            Size to chunk the writing.
        expectedrows : int