matplotlib
diff --git a/‎doc/users/whats_new.rst
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diff --git a/‎examples/pie_and_polar_charts/polar_offset_demo.py
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diff --git a/‎examples/pie_and_polar_charts/polar_sector_demo.py
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@@ -60,6 +60,34 @@ Added a :code:`pivot` kwarg to :func:`~mpl_toolkits.mplot3d.Axes3D.quiver`
 that controls the pivot point around which the quiver line rotates. This also
 determines the placement of the arrow head along the quiver line.
 
+Enhancements to polar plot
+``````````````````````````
+
+The polar axes transforms have been greatly re-factored to allow for more
+customization of view limits and tick labelling. Additional options for view
+limits allow for creating an annulus, a sector, or some combination of the two.
+
+The :meth:`~matplotlib.axes.projections.polar.PolarAxes.set_rorigin` method may
+be used to provide an offset to the minimum plotting radius, producing an
+annulus.
+
+The :meth:`~matplotlib.projections.polar.PolarAxes.set_theta_zero_location` now
+has an optional :code:`offset` argument. This argument may be used to further
+specify the zero location based on the given anchor point.
+
+.. plot:: mpl_examples/pie_and_polar_charts/polar_offset_demo.py
+
+The :meth:`~matplotlib.axes.projections.polar.PolarAxes.set_thetamin` and
+:meth:`~matplotlib.axes.projections.polar.PolarAxes.set_thetamax` methods may
+be used to limit the range of angles plotted, producing sectors of a circle.
+
+.. plot:: mpl_examples/pie_and_polar_charts/polar_sector_demo.py
+
+Previous releases allowed plots containing negative radii for which the
+negative values are simply used as labels, and the real radius is shifted by
+the configured minimum. This release also allows negative radii to be used for
+grids and ticks, which were previously silently ignored.
+
 New backend selection
 ---------------------
 
 
@@ -0,0 +1,28 @@
+"""
+Demo of scatter plot on a polar axis, with offset origin.
+
+Size increases radially in this example and color increases with angle (just to
+verify the symbols are being scattered correctly).
+
+The main difference with the polar_scatter_demo is the configuration of the
+origin radius, producing an annulus. Additionally, the theta zero location is
+set to rotate the plot.
+"""
+import numpy as np
+import matplotlib.pyplot as plt
+
+
+N = 150
+r = 2 * np.random.rand(N)
+theta = 2 * np.pi * np.random.rand(N)
+area = 200 * r**2 * np.random.rand(N)
+colors = theta
+
+ax = plt.subplot(111, polar=True)
+c = plt.scatter(theta, r, c=colors, s=area, cmap=plt.cm.hsv)
+c.set_alpha(0.75)
+
+ax.set_rorigin(-2.5)
+ax.set_theta_zero_location('W', offset=10)
+
+plt.show()
@@ -0,0 +1,27 @@
+"""
+Demo of scatter plot on a polar axis confined to a sector.
+
+Size increases radially in this example and color increases with angle (just to
+verify the symbols are being scattered correctly).
+
+The main difference with the polar_scatter_demo is the configuration of the
+theta start and end limits, producing a sector instead of a full circle.
+"""
+import numpy as np
+import matplotlib.pyplot as plt
+
+
+N = 150
+r = 2 * np.random.rand(N)
+theta = 2 * np.pi * np.random.rand(N)
+area = 200 * r**2 * np.random.rand(N)
+colors = theta
+
+ax = plt.subplot(111, polar=True)
+c = plt.scatter(theta, r, c=colors, s=area, cmap=plt.cm.hsv)
+c.set_alpha(0.75)
+
+ax.set_thetamin(45)
+ax.set_thetamax(135)
+
+plt.show()