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Merge pull request #4699 from QuLogic/polar-limits
Polar limits enhancements
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‎doc/users/next_whats_new/2015-10-31_polar_limits.rst

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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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.. figure:: ../../gallery/pie_and_polar_charts/images/sphx_glr_polar_scatter_001.png
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:target: ../../gallery/pie_and_polar_charts/polar_scatter.html
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:align: center
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:scale: 50
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Polar Offset Demo
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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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.. figure:: ../../gallery/pie_and_polar_charts/images/sphx_glr_polar_scatter_002.png
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:target: ../../gallery/pie_and_polar_charts/polar_scatter.html
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:align: center
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:scale: 50
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Polar Sector Demo
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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.

‎examples/api/radar_chart.py

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@@ -37,11 +37,10 @@ def radar_factory(num_vars, frame='circle'):
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"""
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# calculate evenly-spaced axis angles
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theta = np.linspace(0, 2*np.pi, num_vars, endpoint=False)
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# rotate theta such that the first axis is at the top
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theta += np.pi/2
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def draw_poly_patch(self):
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verts = unit_poly_verts(theta)
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# rotate theta such that the first axis is at the top
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verts = unit_poly_verts(theta + np.pi / 2)
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return plt.Polygon(verts, closed=True, edgecolor='k')
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def draw_circle_patch(self):
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# define draw_frame method
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draw_patch = patch_dict[frame]
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def __init__(self, *args, **kwargs):
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super(RadarAxes, self).__init__(*args, **kwargs)
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# rotate plot such that the first axis is at the top
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self.set_theta_zero_location('N')
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def fill(self, *args, **kwargs):
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"""Override fill so that line is closed by default"""
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closed = kwargs.pop('closed', True)
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# spine_type must be 'left', 'right', 'top', 'bottom', or `circle`.
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spine_type = 'circle'
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verts = unit_poly_verts(theta)
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verts = unit_poly_verts(theta + np.pi / 2)
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# close off polygon by repeating first vertex
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verts.append(verts[0])
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path = Path(verts)

‎examples/pie_and_polar_charts/polar_scatter.py

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Scatter plot on polar axis
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==========================
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Demo of scatter plot on a polar axis.
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Size increases radially in this example and color increases with angle
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(just to verify the symbols are being scattered correctly).
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"""
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area = 200 * r**2
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colors = theta
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ax = plt.subplot(111, projection='polar')
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fig = plt.figure()
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ax = fig.add_subplot(111, projection='polar')
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c = ax.scatter(theta, r, c=colors, s=area, cmap='hsv', alpha=0.75)
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###############################################################################
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# Scatter plot on polar axis, with offset origin
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# ----------------------------------------------
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#
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# The main difference with the previous plot is the configuration of the origin
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# radius, producing an annulus. Additionally, the theta zero location is set to
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# rotate the plot.
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fig = plt.figure()
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ax = fig.add_subplot(111, polar=True)
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c = ax.scatter(theta, r, c=colors, s=area, cmap='hsv', 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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###############################################################################
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# Scatter plot on polar axis confined to a sector
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# -----------------------------------------------
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#
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# The main difference with the previous plots 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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fig = plt.figure()
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ax = fig.add_subplot(111, polar=True)
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c = ax.scatter(theta, r, c=colors, s=area, cmap='hsv', 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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