pastas.plotting.bokeh.Bokeh.results
===================================

.. py:method:: pastas.plotting.bokeh.Bokeh.results(tmin=None, tmax=None, height=500, width=800, show_plot=True, stderr=False)

   
   Overview of the results of the pastas model.

   :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.
                start time for model simulation, by default None
   :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.
                end time for model simulation, by default None
   :type tmax: pandas.Timestamp or str, optional
   :param height: height of the plot, by default 500
   :type height: int, optional
   :param width: width of the plot, by default 800
   :type width: int, optional
   :param show_plot: Show the plot (i.e., in Jupyter Notebooks), by default True
   :type show_plot: bool, optional
   :param stderr: Show the standard error of the parameters, by default False
   :type stderr: bool, optional

   :returns: **grid** -- Bokeh layout with the results of the pastas model.
   :rtype: bokeh.layouts.column

   .. rubric:: Examples

   >>> ps.extensions.register_bokeh()
   INFO: Registered bokeh plotting methods in Model class, e.g. `ml.bokeh.plot()`.
   >>> fig = ml.bokeh.results()















   ..
       !! processed by numpydoc !!