pastas.plotting.modelplots.Plotting.cum_frequency
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.. py:method:: pastas.plotting.modelplots.Plotting.cum_frequency(tmin: pandas.Timestamp | str | None = None, tmax: pandas.Timestamp | str | None = None, ax: pastas.typing.Axes | None = None, figsize: tuple = (5, 2), **kwargs) -> pastas.typing.Axes

   
   Plot the cumulative frequency for the observations and simulation.

   :param tmin: A string or pandas.Timestamp with the start date for the period
                (E.g. '1980-01-01 00:00:00'). Strings are converted to
                pandas.Timestamp internally.
   :type tmin: pandas.Timestamp or str, optional
   :param tmax: A string or pandas.Timestamp with the end date for the period
                (E.g. '2020-01-01 00:00:00'). Strings are converted to
                pandas.Timestamp internally.
   :type tmax: pandas.Timestamp or str, optional
   :param ax: Axes to add the plot to.
   :type ax: matplotlib.axes.Axes, optional
   :param figsize: Tuple with the height and width of the figure in inches.
   :type figsize: tuple, optional
   :param \*\*kwargs: Passed on to plot_cum_frequency.

   :returns: **ax**
   :rtype: matplotlib.axes.Axes

   .. seealso:: :py:obj:`ps.stats.plot_cum_frequency`















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