timflow.steady.plots.PlotSteady.contour
=======================================

.. py:method:: timflow.steady.plots.PlotSteady.contour(win, ngr=20, layers=0, levels=20, layout=True, labels=True, decimals=0, color=None, ax=None, figsize=None, legend=True, return_contours=False, **kwargs)

   
   Head contour plot.

   :param win: [xmin, xmax, ymin, ymax]
   :type win: list or tuple
   :param ngr: if scalar: number of grid points in x and y direction
               if tuple or list: nx, ny, number of grid points in x and y
               directions
   :type ngr: scalar, tuple or list
   :param layers: layers for which grid is returned
   :type layers: integer, list or array
   :param levels: levels that are contoured
   :type levels: integer or array (default 20)
   :param layout: plot layout of elements
   :type layout: boolean (default True)
   :param labels: print labels along contours
   :type labels: boolean (default True)
   :param decimals: number of decimals of labels along contours
   :type decimals: integer (default 0)
   :param color: color of contour lines
   :type color: str or list of strings
   :param ax: axes to plot on, default is None which creates a new figure
   :type ax: matplotlib.Axes
   :param figsize: size of figure
   :type figsize: tuple of 2 values (default is mpl default)
   :param legend: add legend to figure
                  if list of strings: use strings as names in legend
   :type legend: list or boolean (default True)
   :param return_contours: if True, return list of contour sets for each contoured layer
   :type return_contours: bool, optional

   :returns: * **ax** (*matplotlib.Axes*) -- axes with plot
             * **cs** (*list*) -- of contour sets for each contoured layer, only if return_contours=True















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