# pandas.HDFStore.put

HDFStore.put(key, value, format=None, index=True, append=False, complib=None, complevel=None, min_itemsize=None, nan_rep=None, data_columns=None, encoding=None, errors='strict', track_times=True, dropna=False)

  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.

    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.

      New in version 1.1.0.