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Commit6cf4b39

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DOC: Add what's new for polar axes.
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‎doc/users/whats_new.rst

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@@ -60,6 +60,34 @@ Added a :code:`pivot` kwarg to :func:`~mpl_toolkits.mplot3d.Axes3D.quiver`
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that controls the pivot point around which the quiver line rotates. This also
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determines the placement of the arrow head along the quiver line.
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Enhancements to polar plot
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``````````````````````````
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The polar axes transforms have been greatly re-factored to allow for more
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customization of view limits and tick labelling. Additional options for view
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limits allow for creating an annulus, a sector, or some combination of the two.
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The:meth:`~matplotlib.axes.projections.polar.PolarAxes.set_rorigin` method may
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be used to provide an offset to the minimum plotting radius, producing an
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annulus.
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The:meth:`~matplotlib.projections.polar.PolarAxes.set_theta_zero_location` now
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has an optional:code:`offset` argument. This argument may be used to further
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specify the zero location based on the given anchor point.
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..plot::mpl_examples/pie_and_polar_charts/polar_offset_demo.py
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The:meth:`~matplotlib.axes.projections.polar.PolarAxes.set_thetamin` and
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:meth:`~matplotlib.axes.projections.polar.PolarAxes.set_thetamax` methods may
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be used to limit the range of angles plotted, producing sectors of a circle.
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..plot::mpl_examples/pie_and_polar_charts/polar_sector_demo.py
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Previous releases allowed plots containing negative radii for which the
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negative values are simply used as labels, and the real radius is shifted by
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the configured minimum. This release also allows negative radii to be used for
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grids and ticks, which were previously silently ignored.
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New backend selection
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---------------------
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"""
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Demo of scatter plot on a polar axis, with offset origin.
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Size increases radially in this example and color increases with angle (just to
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verify the symbols are being scattered correctly).
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The main difference with the polar_scatter_demo is the configuration of the
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origin radius, producing an annulus. Additionally, the theta zero location is
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set to rotate the plot.
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"""
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importnumpyasnp
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importmatplotlib.pyplotasplt
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N=150
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r=2*np.random.rand(N)
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theta=2*np.pi*np.random.rand(N)
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area=200*r**2*np.random.rand(N)
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colors=theta
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ax=plt.subplot(111,polar=True)
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c=plt.scatter(theta,r,c=colors,s=area,cmap=plt.cm.hsv)
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c.set_alpha(0.75)
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ax.set_rorigin(-2.5)
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ax.set_theta_zero_location('W',offset=10)
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plt.show()
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"""
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Demo of scatter plot on a polar axis confined to a sector.
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Size increases radially in this example and color increases with angle (just to
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verify the symbols are being scattered correctly).
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The main difference with the polar_scatter_demo is the configuration of the
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theta start and end limits, producing a sector instead of a full circle.
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"""
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importnumpyasnp
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importmatplotlib.pyplotasplt
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N=150
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r=2*np.random.rand(N)
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theta=2*np.pi*np.random.rand(N)
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area=200*r**2*np.random.rand(N)
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colors=theta
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ax=plt.subplot(111,polar=True)
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c=plt.scatter(theta,r,c=colors,s=area,cmap=plt.cm.hsv)
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c.set_alpha(0.75)
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ax.set_thetamin(45)
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ax.set_thetamax(135)
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plt.show()

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