pastas.plotting.modelplots.Plotting.stresses
============================================

.. py:method:: pastas.plotting.modelplots.Plotting.stresses(tmin: pandas.Timestamp | str | None = None, tmax: pandas.Timestamp | str | None = None, cols: int = 1, split: bool = True, sharex: bool = True, figsize: tuple = (10, 8), **kwargs) -> pastas.typing.Axes

   
   This method creates a graph with all the stresses used in the 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.
   :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 cols: number of columns used for plotting.
   :type cols: int
   :param split: Split the stress
   :type split: bool, optional
   :param sharex: Sharex the x-axis.
   :type sharex: bool, optional
   :param figsize: Tuple with the height and width of the figure in inches.
   :type figsize: tuple, optional

   :returns: **axes** -- matplotlib axes instance.
   :rtype: matplotlib.axes.Axes















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