Classe « HDFStore »

Méthode pandas.HDFStore.put

Signature de la méthode put

def put(self, key: str, value: ~FrameOrSeries, format=None, index=True, append=False, complib=None, complevel: Optional[int] = None, min_itemsize: Union[int, Dict[str, int], NoneType] = None, nan_rep=None, data_columns: Optional[List[str]] = None, encoding=None, errors: str = 'strict', track_times: bool = True, dropna: bool = False) 

Description

put.__doc__

        Store object in HDFStore.

        Parameters
        ----------
        key : str
        value : {Series, DataFrame}
        format : 'fixed(f)|table(t)', default is 'fixed'
            Format to use when storing object in HDFStore. Value can be one of:

            ``'fixed'``
                Fixed format.  Fast writing/reading. Not-appendable, nor searchable.
            ``'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.
        append : bool, default False
            This will force Table format, append the input data to the existing.
        data_columns : list, default None
            List of columns to create as data columns, or True to use all columns.
            See `here
            <https://pandas.pydata.org/pandas-docs/stable/user_guide/io.html#query-via-data-columns>`__.
        encoding : str, default None
            Provide an encoding for strings.
        track_times : bool, default True
            Parameter is propagated to 'create_table' method of 'PyTables'.
            If set to False it enables to have the same h5 files (same hashes)
            independent on creation time.

            .. versionadded:: 1.1.0