diff --git a/python/dune/grid/plotting.py b/python/dune/grid/plotting.py
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+"""DUNE Grid plotting utility.
+
+This module provides a collection of functions for plotting.
+
+Example:
+
+    Simple plotting::
+
+        from dune.grid.plotting import plot
+        plot(uh)
+
+
+Example:
+
+    Multiple and customized visualizations in one figure::
+
+        import matplotlib.pyplot as plt
+        from dune.grid.plotting import plotData, plotGrid, plotContours, plotQuivers, plotColorbar
+
+        fig = plt.figure()
+        plotData(uh, fig, cmap='jet')
+        plotGrid(grid, fig, color='white')
+        plotContours(uh, fig, levels=10)
+        plotQuivers(uh, fig, vectors=[0,1])
+        plotColorbar(uh, fig)
+        plt.show()
+
+
+Todo:
+    * Clarify function signatures
+      - Is it fine to require a figure? We could alternatively create a new one and return it, but we wouldn't call plt.show().
+      - Most of the parameters can be passed to pyplot by **kwargs. We have to figure what to pass where exactly.
+      - level: Do we want/need level? Everywhere?
+      - xlim, ylim: Can be controlled from outside via ax.margins(...). We should provide an example.
+      - logscale: Do we want to provide this? If yes, everywhere?
+      - Can't we simply use plot[Point]Data for plotCellData by converting the data?
+      - What is 'mayaviPointData'?
+
+    * 'plot' shortcut:
+      - I think we could replace plotComponents by adding a loop over all components here.
+      - Should this also work for grids? plotGrid requires a figure so far.
+
+    * Should we also forward the plot methods on the objects? E.g. uh.plot() and grid.plot(fig).
+    * Add more examples for various scenarios. Add one using the triangulation and (point-)data directly.
+
+    * Deprecate and remove implementations in dune.common.plotting and dune.fem.plotting
+"""
+
+def plot(solution):
+    fig = plt.figure()
+    plotData(solution, fig)
+    plotColorbar(solution, fig)
+    plt.show()
+
+
+def plotGrid(grid, figure, **kwargs):
+    pass
+
+
+def plotData(solution, figure, **kwargs):
+    pass
+
+
+def plotContours(solution, figure, **kwargs):
+    pass
+
+
+def plotQuiver(solution, figure, nofVectors=None, **kwargs):
+    assert len(solution) == 2
+    pass
+
+
+def plotColorbar(solution, figure, ticks=11, orientation="vertical", **kwargs):
+    pass