pastas.plotting.modelplots.Plotting.summary
===========================================

.. py:method:: pastas.plotting.modelplots.Plotting.summary(tmin: pandas.Timestamp | str | None = None, tmax: pandas.Timestamp | str | None = None, results_kwargs: dict | None = None, diagnostics_kwargs: dict | None = None) -> pastas.typing.Figure

   
   Create a plot with the results and diagnostics plot.

   :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 fname: string with the file name / path to store the PDF file.
   :type fname: str, optional
   :param dpi: dpi to save the figure with.
   :type dpi: int, optional
   :param results_kwargs: dictionary passed on to ml.plots.results method.
   :type results_kwargs: dict, optional
   :param diagnostics_kwargs: dictionary passed on to ml.plots.diagnostics method.
   :type diagnostics_kwargs: dict, optional

   :returns: **fig**
   :rtype: matplotlib.pyplot.Figure instance















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