def plotCells(self, engine='mpl', ax=None, usemask=True, cell_kws=None, domain_kws=None, extent_kws=None, showisland=True, island_kws=None): """ Creates a figure of the cells, boundary, domain, and islands. Parameters ---------- engine : str The plotting engine to be used. Right now, only `'mpl'` has been implemented. Interactive figures via `'bokeh'` are planned. ax : matplotlib.Axes, optional The axes onto which the data will be drawn. If not provided, a new one will be created. Applies only to the *mpl* engine. usemask : bool, optional Whether or not cells should have the ModelGrid's mask applied to them. cell_kws, domain_kws, extent_kws, island_kws : dict Dictionaries of plotting options for each element of the figure. .. note: ``cell_kws`` and ``island_kws`` are feed to :func:`~matplotlib.pyplot.Polygon`. All others are sent to :meth:`~ax.plot`. """ if cell_kws is None: cell_kws = {} fig = viz.plotCells(self.xn, self.yn, engine=engine, ax=ax, mask=self.cell_mask, **cell_kws) if domain_kws is not None: fig = viz.plotDomain(data=self.domain, engine=engine, ax=ax, **domain_kws) if extent_kws: fig = viz.plotBoundaries(extent=self.extent, engine=engine, ax=ax, **extent_kws) if island_kws: fig = viz.plotBoundaries(islands=self.islands, engine=engine, ax=ax, **island_kws) return fig
def test_plotCells_smoke(self): x, y = pgtest.makeSimpleNodes() fig1 = viz.plotCells(x, y)