pastas.timeseries.ObservationSeries.update_series
=================================================

.. py:method:: pastas.timeseries.ObservationSeries.update_series(force_update: bool = False, **kwargs) -> None

   
   Method to update the series with new options.

   :param force_update: argument that is used to force an update, even when no changes are found.
                        Internally used by the __init__ method. Default is False.
   :type force_update: bool, optional
   :param freq: String representing the desired frequency of the time series. Must be one
                of the following: (D, h, m, s, ms, us, ns) or a multiple of that e.g. "7D".
   :type freq: str, optional
   :param tmin: A string or pandas.Timestamp with the minimum time of the series
                (E.g. '1980-01-01 00:00:00').
   :type tmin: pandas.Timestamp or str, optional
   :param tmax: A string or pandas.Timestamp with the maximum time of the series
                (E.g. '2020-01-01 00:00:00'). Strings are converted to

                pandas.Timestamp internally.
   :type tmax: pandas.Timestamp or str, optional

   .. rubric:: Notes

   The method will validate if any of the settings is changed to determine if
   the series need to be updated.















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