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November 23, 2020 20:29
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Radar chart using bokeh
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import numpy as np | |
from bokeh.plotting import figure, show, output_file | |
from bokeh.models import ColumnDataSource, LabelSet | |
num_vars = 9 | |
theta = np.linspace(0, 2*np.pi, num_vars, endpoint=False) | |
# rotate theta such that the first axis is at the top | |
theta += np.pi/2 | |
def unit_poly_verts(theta): | |
"""Return vertices of polygon for subplot axes. | |
This polygon is circumscribed by a unit circle centered at (0.5, 0.5) | |
""" | |
x0, y0, r = [0.5] * 3 | |
verts = [(r*np.cos(t) + x0, r*np.sin(t) + y0) for t in theta] | |
return verts | |
def radar_patch(r, theta): | |
yt = (r + 0.01) * np.sin(theta) + 0.5 | |
xt = (r + 0.01) * np.cos(theta) + 0.5 | |
return xt, yt | |
verts = unit_poly_verts(theta) | |
x = [v[0] for v in verts] | |
y = [v[1] for v in verts] | |
p = figure(title="Radar") | |
text = ['Sulfate', 'Nitrate', 'EC', 'OC1', 'OC2', 'OC3', 'OP', 'CO', 'O3'] | |
source = ColumnDataSource({'x':x+ [0.5],'y':y+ [1],'text':text}) | |
p.line(x="x", y="y", source=source) | |
labels = LabelSet(x="x",y="y",text="text",source=source) | |
p.add_layout(labels) | |
# example factor: | |
f1 = np.array([0.88, 0.01, 0.03, 0.03, 0.00, 0.06, 0.01, 0.00, 0.00]) * 0.5 | |
f2 = np.array([0.07, 0.95, 0.04, 0.05, 0.00, 0.02, 0.01, 0.00, 0.00]) * 0.5 | |
f3 = np.array([0.01, 0.02, 0.85, 0.19, 0.05, 0.10, 0.00, 0.00, 0.00]) * 0.5 | |
f4 = np.array([0.02, 0.01, 0.07, 0.01, 0.21, 0.12, 0.98, 0.00, 0.00]) * 0.5 | |
f5 = np.array([0.01, 0.01, 0.02, 0.71, 0.74, 0.70, 0.00, 0.00, 0.00]) * 0.5 | |
#xt = np.array(x) | |
flist = [f1,f2,f3,f4,f5] | |
colors = ['blue','green','red', 'orange','purple'] | |
for i in range(len(flist)): | |
xt, yt = radar_patch(flist[i], theta) | |
p.patch(x=xt, y=yt, fill_alpha=0.15, fill_color=colors[i]) | |
show(p) | |
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Yes - the text coordinates are specified when creating the LabelSet object(https://gist.github.com/anthonydouc/2ad82f89b4e827f001d786c2b41f4328#file-radar-py-L34)