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tonysyujkseppan
tonysyu
authored and
jkseppan
committed
Clean up radar_chart example
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Lines changed: 79 additions & 64 deletions

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‎examples/api/radar_chart.py‎

Lines changed: 79 additions & 64 deletions
Original file line numberDiff line numberDiff line change
@@ -1,3 +1,8 @@
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"""
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Example of creating a radar chart (a.k.a. a spider or star chart) [1]_.
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.. [1] http://en.wikipedia.org/wiki/Radar_chart
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"""
16
import numpy as np
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import matplotlib.pyplot as plt
@@ -8,38 +13,42 @@
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1015
def radar_factory(num_vars, frame='circle'):
11-
"""Create a radar chart with `num_vars` axes."""
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"""Create a radar chart with `num_vars` axes.
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This function creates a RadarAxes projection and registers it.
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Parameters
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----------
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num_vars : int
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Number of variables for radar chart.
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frame : {'circle' | 'polygon'}
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Shape of frame surrounding axes.
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"""
1228
# calculate evenly-spaced axis angles
1329
theta = 2*np.pi * np.linspace(0, 1-1./num_vars, num_vars)
1430
# rotate theta such that the first axis is at the top
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theta += np.pi/2
1632

17-
def poly_verts(x0, y0, r):
18-
# TODO: use transforms to convert (x, y) to (r, theta)
19-
verts = [(r*np.cos(t) + x0, r*np.sin(t) + y0) for t in theta]
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return verts
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22-
def draw_poly_frame(self, x0, y0, r):
23-
verts = poly_verts(x0, y0, r)
33+
def draw_poly_patch(self):
34+
verts = unit_poly_verts(theta)
2435
return plt.Polygon(verts, closed=True, edgecolor='k')
2536

26-
def draw_circle_frame(self, x0, y0, r):
27-
return plt.Circle((x0, y0), r)
37+
def draw_circle_patch(self):
38+
# unit circle centered on (0.5, 0.5)
39+
return plt.Circle((0.5, 0.5), 0.5)
2840

29-
frame_dict = {'polygon': draw_poly_frame, 'circle': draw_circle_frame}
30-
if frame not in frame_dict:
41+
patch_dict = {'polygon': draw_poly_patch, 'circle': draw_circle_patch}
42+
if frame not in patch_dict:
3143
raise ValueError, 'unknown value for `frame`: %s' % frame
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3345
class RadarAxes(PolarAxes):
34-
"""Class for creating a radar chart (a.k.a. a spider or star chart)
3546

36-
http://en.wikipedia.org/wiki/Radar_chart
37-
"""
3847
name = 'radar'
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# use 1 line segment to connect specified points
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RESOLUTION = 1
4150
# define draw_frame method
42-
draw_frame = frame_dict[frame]
51+
draw_patch = patch_dict[frame]
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4453
def fill(self, *args, **kwargs):
4554
"""Override fill so that line is closed by default"""
@@ -64,9 +73,7 @@ def set_varlabels(self, labels):
6473
self.set_thetagrids(theta * 180/np.pi, labels)
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6675
def _gen_axes_patch(self):
67-
x0, y0 = (0.5, 0.5)
68-
r = 0.5
69-
return self.draw_frame(x0, y0, r)
76+
return self.draw_patch()
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7178
def _gen_axes_spines(self):
7279
if frame == 'circle':
@@ -76,10 +83,7 @@ def _gen_axes_spines(self):
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7784
# spine_type must be 'left', 'right', 'top', 'bottom', or `circle`.
7885
spine_type = 'circle'
79-
r = 0.5
80-
x0, y0 = (0.5, 0.5)
81-
#verts = [(t, r) for t in theta]
82-
verts = poly_verts(x0, y0, r)
86+
verts = unit_poly_verts(theta)
8387
# close off polygon by repeating first vertex
8488
verts.append(verts[0])
8589
path = Path(verts)
@@ -92,7 +96,17 @@ def _gen_axes_spines(self):
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return theta
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9498

95-
if __name__ == '__main__':
99+
def unit_poly_verts(theta):
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"""Return vertices of polygon for subplot axes.
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This polygon is circumscribed by a unit circle centered at (0.5, 0.5)
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"""
104+
x0, y0, r = [0.5] * 3
105+
verts = [(r*np.cos(t) + x0, r*np.sin(t) + y0) for t in theta]
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return verts
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def example_data():
96110
#The following data is from the Denver Aerosol Sources and Health study.
97111
#See doi:10.1016/j.atmosenv.2008.12.017
98112
#
@@ -111,51 +125,52 @@ def _gen_axes_spines(self):
111125
# 2)Inclusion of gas-phase specie carbon monoxide (CO)
112126
# 3)Inclusion of gas-phase specie ozone (O3).
113127
# 4)Inclusion of both gas-phase speciesis present...
128+
data = {
129+
'column names':
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['Sulfate', 'Nitrate', 'EC', 'OC1', 'OC2', 'OC3', 'OP', 'CO', 'O3'],
131+
'Basecase':
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[[0.88, 0.01, 0.03, 0.03, 0.00, 0.06, 0.01, 0.00, 0.00],
133+
[0.07, 0.95, 0.04, 0.05, 0.00, 0.02, 0.01, 0.00, 0.00],
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[0.01, 0.02, 0.85, 0.19, 0.05, 0.10, 0.00, 0.00, 0.00],
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[0.02, 0.01, 0.07, 0.01, 0.21, 0.12, 0.98, 0.00, 0.00],
136+
[0.01, 0.01, 0.02, 0.71, 0.74, 0.70, 0.00, 0.00, 0.00]],
137+
'With CO':
138+
[[0.88, 0.02, 0.02, 0.02, 0.00, 0.05, 0.00, 0.05, 0.00],
139+
[0.08, 0.94, 0.04, 0.02, 0.00, 0.01, 0.12, 0.04, 0.00],
140+
[0.01, 0.01, 0.79, 0.10, 0.00, 0.05, 0.00, 0.31, 0.00],
141+
[0.00, 0.02, 0.03, 0.38, 0.31, 0.31, 0.00, 0.59, 0.00],
142+
[0.02, 0.02, 0.11, 0.47, 0.69, 0.58, 0.88, 0.00, 0.00]],
143+
'With O3':
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[[0.89, 0.01, 0.07, 0.00, 0.00, 0.05, 0.00, 0.00, 0.03],
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[0.07, 0.95, 0.05, 0.04, 0.00, 0.02, 0.12, 0.00, 0.00],
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[0.01, 0.02, 0.86, 0.27, 0.16, 0.19, 0.00, 0.00, 0.00],
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[0.01, 0.03, 0.00, 0.32, 0.29, 0.27, 0.00, 0.00, 0.95],
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[0.02, 0.00, 0.03, 0.37, 0.56, 0.47, 0.87, 0.00, 0.00]],
149+
'CO & O3':
150+
[[0.87, 0.01, 0.08, 0.00, 0.00, 0.04, 0.00, 0.00, 0.01],
151+
[0.09, 0.95, 0.02, 0.03, 0.00, 0.01, 0.13, 0.06, 0.00],
152+
[0.01, 0.02, 0.71, 0.24, 0.13, 0.16, 0.00, 0.50, 0.00],
153+
[0.01, 0.03, 0.00, 0.28, 0.24, 0.23, 0.00, 0.44, 0.88],
154+
[0.02, 0.00, 0.18, 0.45, 0.64, 0.55, 0.86, 0.00, 0.16]]
155+
}
156+
return data
157+
158+
159+
if __name__ == '__main__':
114160
N = 9
115161
theta = radar_factory(N, frame='polygon')
116-
spoke_labels = ['Sulfate', 'Nitrate', 'EC', 'OC1', 'OC2', 'OC3', 'OP', 'CO',
117-
'O3']
118-
f1_base = [0.88, 0.01, 0.03, 0.03, 0.00, 0.06, 0.01, 0.00, 0.00]
119-
f1_CO = [0.88, 0.02, 0.02, 0.02, 0.00, 0.05, 0.00, 0.05, 0.00]
120-
f1_O3 = [0.89, 0.01, 0.07, 0.00, 0.00, 0.05, 0.00, 0.00, 0.03]
121-
f1_both = [0.87, 0.01, 0.08, 0.00, 0.00, 0.04, 0.00, 0.00, 0.01]
122-
123-
f2_base = [0.07, 0.95, 0.04, 0.05, 0.00, 0.02, 0.01, 0.00, 0.00]
124-
f2_CO = [0.08, 0.94, 0.04, 0.02, 0.00, 0.01, 0.12, 0.04, 0.00]
125-
f2_O3 = [0.07, 0.95, 0.05, 0.04, 0.00, 0.02, 0.12, 0.00, 0.00]
126-
f2_both = [0.09, 0.95, 0.02, 0.03, 0.00, 0.01, 0.13, 0.06, 0.00]
127-
128-
f3_base = [0.01, 0.02, 0.85, 0.19, 0.05, 0.10, 0.00, 0.00, 0.00]
129-
f3_CO = [0.01, 0.01, 0.79, 0.10, 0.00, 0.05, 0.00, 0.31, 0.00]
130-
f3_O3 = [0.01, 0.02, 0.86, 0.27, 0.16, 0.19, 0.00, 0.00, 0.00]
131-
f3_both = [0.01, 0.02, 0.71, 0.24, 0.13, 0.16, 0.00, 0.50, 0.00]
132-
133-
f4_base = [0.02, 0.01, 0.07, 0.01, 0.21, 0.12, 0.98, 0.00, 0.00]
134-
f4_CO = [0.00, 0.02, 0.03, 0.38, 0.31, 0.31, 0.00, 0.59, 0.00]
135-
f4_O3 = [0.01, 0.03, 0.00, 0.32, 0.29, 0.27, 0.00, 0.00, 0.95]
136-
f4_both = [0.01, 0.03, 0.00, 0.28, 0.24, 0.23, 0.00, 0.44, 0.88]
137-
138-
f5_base = [0.01, 0.01, 0.02, 0.71, 0.74, 0.70, 0.00, 0.00, 0.00]
139-
f5_CO = [0.02, 0.02, 0.11, 0.47, 0.69, 0.58, 0.88, 0.00, 0.00]
140-
f5_O3 = [0.02, 0.00, 0.03, 0.37, 0.56, 0.47, 0.87, 0.00, 0.00]
141-
f5_both = [0.02, 0.00, 0.18, 0.45, 0.64, 0.55, 0.86, 0.00, 0.16]
142-
143-
fig = plt.figure(figsize=(9,9))
144-
# adjust spacing around the subplots
162+
163+
data = example_data()
164+
spoke_labels = data.pop('column names')
165+
166+
fig = plt.figure(figsize=(9, 9))
145167
fig.subplots_adjust(wspace=0.25, hspace=0.20, top=0.85, bottom=0.05)
146-
title_list = ['Basecase', 'With CO', 'With O3', 'CO & O3']
147-
data = {'Basecase': [f1_base, f2_base, f3_base, f4_base, f5_base],
148-
'With CO': [f1_CO, f2_CO, f3_CO, f4_CO, f5_CO],
149-
'With O3': [f1_O3, f2_O3, f3_O3, f4_O3, f5_O3],
150-
'CO & O3': [f1_both, f2_both, f3_both, f4_both, f5_both]}
151-
colors = ['b', 'r', 'g', 'm', 'y']
152-
# chemicals range from 0 to 1
153-
radial_grid = [0.2, 0.4, 0.6, 0.8]
154168

155-
# If you don't care about the order, you can loop over data_dict.items()
156-
for n, title in enumerate(title_list):
169+
colors = ['b', 'r', 'g', 'm', 'y']
170+
# Plot the four cases from the example data on separate axes
171+
for n, title in enumerate(data.keys()):
157172
ax = fig.add_subplot(2, 2, n+1, projection='radar')
158-
plt.rgrids(radial_grid)
173+
plt.rgrids([0.2, 0.4, 0.6, 0.8])
159174
ax.set_title(title, weight='bold', size='medium', position=(0.5, 1.1),
160175
horizontalalignment='center', verticalalignment='center')
161176
for d, color in zip(data[title], colors):

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