Fix radar_chart example.

Radar chart broken when using polygon spines. This was broken when the drawing of the axes spines was separated from the axes patch.
matplotlib · tonysyu · Dec 24, 2011 · Dec 24, 2011 · Dec 24, 2011 · Dec 24, 2011
commit 77a3c385e39aa736d264e7e76b0fa17f554340da
diff --git a/examples/api/radar_chart.py b/examples/api/radar_chart.py
@@ -1,77 +1,104 @@
 import numpy as np
 
 import matplotlib.pyplot as plt
-from matplotlib.projections.polar import PolarAxes 
-from matplotlib.projections import register_projection 
+from matplotlib.path import Path
+from matplotlib.spines import Spine
+from matplotlib.projections.polar import PolarAxes
+from matplotlib.projections import register_projection
 
-def radar_factory(num_vars, frame='circle'): 
-    """Create a radar chart with `num_vars` axes.""" 
-    # calculate evenly-spaced axis angles 
-    theta = 2*np.pi * np.linspace(0, 1-1./num_vars, num_vars) 
-    # rotate theta such that the first axis is at the top 
-    theta += np.pi/2 
 
-    def draw_poly_frame(self, x0, y0, r): 
+def radar_factory(num_vars, frame='circle'):
+    """Create a radar chart with `num_vars` axes."""
+    # calculate evenly-spaced axis angles
+    theta = 2*np.pi * np.linspace(0, 1-1./num_vars, num_vars)
+    # rotate theta such that the first axis is at the top
+    theta += np.pi/2
+
+    def poly_verts(x0, y0, r):
         # TODO: use transforms to convert (x, y) to (r, theta)
-        verts = [(r*np.cos(t) + x0, r*np.sin(t) + y0) for t in theta] 
-        return plt.Polygon(verts, closed=True, edgecolor='k') 
-
-    def draw_circle_frame(self, x0, y0, r): 
-        return plt.Circle((x0, y0), r) 
-
-    frame_dict = {'polygon': draw_poly_frame, 'circle': draw_circle_frame} 
-    if frame not in frame_dict: 
-        raise ValueError, 'unknown value for `frame`: %s' % frame 
-
-    class RadarAxes(PolarAxes): 
-        """Class for creating a radar chart (a.k.a. a spider or star chart) 
-
-        http://en.wikipedia.org/wiki/Radar_chart 
-        """ 
-        name = 'radar' 
-        # use 1 line segment to connect specified points 
-        RESOLUTION = 1 
-        # define draw_frame method 
-        draw_frame = frame_dict[frame] 
-
-        def fill(self, *args, **kwargs): 
-            """Override fill so that line is closed by default""" 
-            closed = kwargs.pop('closed', True) 
-                return super(RadarAxes, self).fill(closed=closed, *args, **kwargs) 
-
-        def plot(self, *args, **kwargs): 
-            """Override plot so that line is closed by default""" 
-            lines = super(RadarAxes, self).plot(*args, **kwargs) 
-            for line in lines: 
-                self._close_line(line) 
-
-        def _close_line(self, line): 
-            x, y = line.get_data() 
-            # FIXME: markers at x[0], y[0] get doubled-up 
-            if x[0] != x[-1]: 
-                x = np.concatenate((x, [x[0]])) 
-                y = np.concatenate((y, [y[0]])) 
-                line.set_data(x, y) 
-
-        def set_varlabels(self, labels): 
-            self.set_thetagrids(theta * 180/np.pi, labels) 
-
-        def _gen_axes_patch(self): 
-            x0, y0 = (0.5, 0.5) 
-            r = 0.5 
+        verts = [(r*np.cos(t) + x0, r*np.sin(t) + y0) for t in theta]
+        return verts
+
+    def draw_poly_frame(self, x0, y0, r):
+        verts = poly_verts(x0, y0, r)
+        return plt.Polygon(verts, closed=True, edgecolor='k')
+
+    def draw_circle_frame(self, x0, y0, r):
+        return plt.Circle((x0, y0), r)
+
+    frame_dict = {'polygon': draw_poly_frame, 'circle': draw_circle_frame}
+    if frame not in frame_dict:
+        raise ValueError, 'unknown value for `frame`: %s' % frame
+
+    class RadarAxes(PolarAxes):
+        """Class for creating a radar chart (a.k.a. a spider or star chart)
+
+        http://en.wikipedia.org/wiki/Radar_chart
+        """
+        name = 'radar'
+        # use 1 line segment to connect specified points
+        RESOLUTION = 1
+        # define draw_frame method
+        draw_frame = frame_dict[frame]
+
+        def fill(self, *args, **kwargs):
+            """Override fill so that line is closed by default"""
+            closed = kwargs.pop('closed', True)
+            return super(RadarAxes, self).fill(closed=closed, *args, **kwargs)
+
+        def plot(self, *args, **kwargs):
+            """Override plot so that line is closed by default"""
+            lines = super(RadarAxes, self).plot(*args, **kwargs)
+            for line in lines:
+                self._close_line(line)
+
+        def _close_line(self, line):
+            x, y = line.get_data()
+            # FIXME: markers at x[0], y[0] get doubled-up
+            if x[0] != x[-1]:
+                x = np.concatenate((x, [x[0]]))
+                y = np.concatenate((y, [y[0]]))
+                line.set_data(x, y)
+
+        def set_varlabels(self, labels):
+            self.set_thetagrids(theta * 180/np.pi, labels)
+
+        def _gen_axes_patch(self):
+            x0, y0 = (0.5, 0.5)
+            r = 0.5
             return self.draw_frame(x0, y0, r)
-
-    register_projection(RadarAxes) 
-    return theta 
+
+        def _gen_axes_spines(self):
+            if frame == 'circle':
+                return PolarAxes._gen_axes_spines(self)
+            # The following is a hack to get the spines (i.e. the axes frame)
+            # to draw correctly for a polygon frame.
+
+            # spine_type must be 'left', 'right', 'top', 'bottom', or `circle`.
+            spine_type = 'circle'
+            r = 0.5
+            x0, y0 = (0.5, 0.5)
+            #verts = [(t, r) for t in theta]
+            verts = poly_verts(x0, y0, r)
+            # close off polygon by repeating first vertex
+            verts.append(verts[0])
+            path = Path(verts)
+
+            spine = Spine(self, spine_type, path)
+            spine.set_transform(self.transAxes)
+            return {'polar': spine}
+
+    register_projection(RadarAxes)
+    return theta
 
 
-if __name__ == '__main__': 
-    #The following data is from the Denver Aerosol Sources and Health study. 
-    #See  doi:10.1016/j.atmosenv.2008.12.017    
+if __name__ == '__main__':
+    #The following data is from the Denver Aerosol Sources and Health study.
+    #See  doi:10.1016/j.atmosenv.2008.12.017
     #
     #The data are pollution source profile estimates for five modeled pollution
     #sources (e.g., cars, wood-burning, etc) that emit 7-9 chemical species.
-    #The radar charts are experimented with here to see if we can nicely 
+    #The radar charts are experimented with here to see if we can nicely
     #visualize how the modeled source profiles change across four scenarios:
     #  1) No gas-phase species present, just seven particulate counts on
     #     Sulfate
@@ -81,64 +108,68 @@ def _gen_axes_patch(self):
     #     Organic Carbon fraction 2 (OC2)
     #     Organic Carbon fraction 3 (OC3)
     #     Pyrolized Organic Carbon (OP)
-    #  2)Inclusion of gas-phase specie carbon monoxide (CO) 
-    #  3)Inclusion of gas-phase specie ozone (O3). 
+    #  2)Inclusion of gas-phase specie carbon monoxide (CO)
+    #  3)Inclusion of gas-phase specie ozone (O3).
     #  4)Inclusion of both gas-phase speciesis present...
     N = 9
-    theta = radar_factory(N)
-    spoke_labels = ['Sulfate', 'Nitrate', 'EC', 'OC1', 'OC2', 'OC3', 'OP', 'CO', 
+    theta = radar_factory(N, frame='polygon')
+    spoke_labels = ['Sulfate', 'Nitrate', 'EC', 'OC1', 'OC2', 'OC3', 'OP', 'CO',
                     'O3']
     f1_base = [0.88, 0.01, 0.03, 0.03, 0.00, 0.06, 0.01, 0.00, 0.00]
-    f1_CO =   [0.88, 0.02, 0.02, 0.02, 0.00, 0.05, 0.00, 0.05, 0.00] 
-    f1_O3 =   [0.89, 0.01, 0.07, 0.00, 0.00, 0.05, 0.00, 0.00, 0.03] 
-    f1_both = [0.87, 0.01, 0.08, 0.00, 0.00, 0.04, 0.00, 0.00, 0.01] 
+    f1_CO =   [0.88, 0.02, 0.02, 0.02, 0.00, 0.05, 0.00, 0.05, 0.00]
+    f1_O3 =   [0.89, 0.01, 0.07, 0.00, 0.00, 0.05, 0.00, 0.00, 0.03]
+    f1_both = [0.87, 0.01, 0.08, 0.00, 0.00, 0.04, 0.00, 0.00, 0.01]
 
     f2_base = [0.07, 0.95, 0.04, 0.05, 0.00, 0.02, 0.01, 0.00, 0.00]
-    f2_CO =   [0.08, 0.94, 0.04, 0.02, 0.00, 0.01, 0.12, 0.04, 0.00] 
-    f2_O3 =   [0.07, 0.95, 0.05, 0.04, 0.00, 0.02, 0.12, 0.00, 0.00] 
-    f2_both = [0.09, 0.95, 0.02, 0.03, 0.00, 0.01, 0.13, 0.06, 0.00] 
+    f2_CO =   [0.08, 0.94, 0.04, 0.02, 0.00, 0.01, 0.12, 0.04, 0.00]
+    f2_O3 =   [0.07, 0.95, 0.05, 0.04, 0.00, 0.02, 0.12, 0.00, 0.00]
+    f2_both = [0.09, 0.95, 0.02, 0.03, 0.00, 0.01, 0.13, 0.06, 0.00]
 
     f3_base = [0.01, 0.02, 0.85, 0.19, 0.05, 0.10, 0.00, 0.00, 0.00]
-    f3_CO =   [0.01, 0.01, 0.79, 0.10, 0.00, 0.05, 0.00, 0.31, 0.00] 
-    f3_O3 =   [0.01, 0.02, 0.86, 0.27, 0.16, 0.19, 0.00, 0.00, 0.00] 
-    f3_both = [0.01, 0.02, 0.71, 0.24, 0.13, 0.16, 0.00, 0.50, 0.00] 
-    
+    f3_CO =   [0.01, 0.01, 0.79, 0.10, 0.00, 0.05, 0.00, 0.31, 0.00]
+    f3_O3 =   [0.01, 0.02, 0.86, 0.27, 0.16, 0.19, 0.00, 0.00, 0.00]
+    f3_both = [0.01, 0.02, 0.71, 0.24, 0.13, 0.16, 0.00, 0.50, 0.00]
+
     f4_base = [0.02, 0.01, 0.07, 0.01, 0.21, 0.12, 0.98, 0.00, 0.00]
-    f4_CO =   [0.00, 0.02, 0.03, 0.38, 0.31, 0.31, 0.00, 0.59, 0.00] 
-    f4_O3 =   [0.01, 0.03, 0.00, 0.32, 0.29, 0.27, 0.00, 0.00, 0.95] 
-    f4_both = [0.01, 0.03, 0.00, 0.28, 0.24, 0.23, 0.00, 0.44, 0.88] 
+    f4_CO =   [0.00, 0.02, 0.03, 0.38, 0.31, 0.31, 0.00, 0.59, 0.00]
+    f4_O3 =   [0.01, 0.03, 0.00, 0.32, 0.29, 0.27, 0.00, 0.00, 0.95]
+    f4_both = [0.01, 0.03, 0.00, 0.28, 0.24, 0.23, 0.00, 0.44, 0.88]
 
     f5_base = [0.01, 0.01, 0.02, 0.71, 0.74, 0.70, 0.00, 0.00, 0.00]
-    f5_CO =   [0.02, 0.02, 0.11, 0.47, 0.69, 0.58, 0.88, 0.00, 0.00] 
-    f5_O3 =   [0.02, 0.00, 0.03, 0.37, 0.56, 0.47, 0.87, 0.00, 0.00] 
-    f5_both = [0.02, 0.00, 0.18, 0.45, 0.64, 0.55, 0.86, 0.00, 0.16] 
+    f5_CO =   [0.02, 0.02, 0.11, 0.47, 0.69, 0.58, 0.88, 0.00, 0.00]
+    f5_O3 =   [0.02, 0.00, 0.03, 0.37, 0.56, 0.47, 0.87, 0.00, 0.00]
+    f5_both = [0.02, 0.00, 0.18, 0.45, 0.64, 0.55, 0.86, 0.00, 0.16]
 
     fig = plt.figure(figsize=(9,9))
     # adjust spacing around the subplots
     fig.subplots_adjust(wspace=0.25, hspace=0.20, top=0.85, bottom=0.05)
     title_list = ['Basecase', 'With CO', 'With O3', 'CO & O3']
     data = {'Basecase': [f1_base, f2_base, f3_base, f4_base, f5_base],
             'With CO': [f1_CO, f2_CO, f3_CO, f4_CO, f5_CO],
-            'With O3': [f1_O3, f2_O3, f3_O3, f4_O3, f5_O3], 
+            'With O3': [f1_O3, f2_O3, f3_O3, f4_O3, f5_O3],
             'CO & O3': [f1_both, f2_both, f3_both, f4_both, f5_both]}
     colors = ['b', 'r', 'g', 'm', 'y']
     # chemicals range from 0 to 1
     radial_grid = [0.2, 0.4, 0.6, 0.8]
+
     # If you don't care about the order, you can loop over data_dict.items()
     for n, title in enumerate(title_list):
         ax = fig.add_subplot(2, 2, n+1, projection='radar')
         plt.rgrids(radial_grid)
         ax.set_title(title, weight='bold', size='medium', position=(0.5, 1.1),
                      horizontalalignment='center', verticalalignment='center')
         for d, color in zip(data[title], colors):
-            ax.plot(theta, d, color=color) 
-            ax.fill(theta, d, facecolor=color, alpha=0.25)  
+            ax.plot(theta, d, color=color)
+            ax.fill(theta, d, facecolor=color, alpha=0.25)
         ax.set_varlabels(spoke_labels)
+
     # add legend relative to top-left plot
     plt.subplot(2,2,1)
     labels = ('Factor 1', 'Factor 2', 'Factor 3', 'Factor 4', 'Factor 5')
     legend = plt.legend(labels, loc=(0.9, .95), labelspacing=0.1)
     plt.setp(legend.get_texts(), fontsize='small')
-    plt.figtext(0.5, 0.965,  '5-Factor Solution Profiles Across Four Scenarios', 
-               ha='center', color='black', weight='bold', size='large')        
+
+    plt.figtext(0.5, 0.965,  '5-Factor Solution Profiles Across Four Scenarios',
+               ha='center', color='black', weight='bold', size='large')
     plt.show()
+