pastas.plotting.bokeh.Bokeh.plot
================================

.. py:method:: pastas.plotting.bokeh.Bokeh.plot(tmin=None, tmax=None, height=300, width=600, show_plot=True)

   
   Plot the observations and model 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.
                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

   :returns: **p** -- Bokeh figure with the observations and model simulation.
   :rtype: bokeh.plotting.figure

   .. rubric:: Examples

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















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