Hi!
I want to convert this radar graph, taken from stackoverflow, into a bokeh plot. Is this possible, or does bokeh not support radar graphs?
Whenever I run show(mpl.to_bokeh()) on this code I just get an empty plot
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns # improves plot aesthetics
def _invert(x, limits):
“”“inverts a value x on a scale from
limits[0] to limits[1]”""
return limits[1] - (x - limits[0])
def _scale_data(data, ranges):
“”“scales data[1:] to ranges[0],
inverts if the scale is reversed”""
for d, (y1, y2) in zip(data[1:], ranges[1:]):
assert (y1 <= d <= y2) or (y2 <= d <= y1)
x1, x2 = ranges[0]
d = data[0]
if x1 > x2:
d = _invert(d, (x1, x2))
x1, x2 = x2, x1
sdata = [d]
for d, (y1, y2) in zip(data[1:], ranges[1:]):
if y1 > y2:
d = _invert(d, (y1, y2))
y1, y2 = y2, y1
sdata.append((d-y1) / (y2-y1) * (x2 - x1) + x1)
return sdata
class ComplexRadar():
def init(self, fig, variables, ranges,
n_ordinate_levels=6):
angles = np.arange(0, 360, 360./len(variables))
axes = [fig.add_axes([0.1,0.1,0.9,0.9],polar=True,
label = “axes{}”.format(i)) for i in range(len(variables))]
l, text = axes[0].set_thetagrids(angles, labels=variables)
[txt.set_rotation(angle-90) for txt, angle in zip(text, angles)]
for ax in axes[1:]:
ax.patch.set_visible(False)
ax.grid(“off”)
ax.xaxis.set_visible(False)
for i, ax in enumerate(axes):
grid = np.linspace(*ranges[i], num=n_ordinate_levels)
gridlabel = ["{}".format(round(x,2)) for x in grid]
if ranges[i][0] > ranges[i][1]:
grid = grid[::-1] # hack to invert grid
gridlabels aren’t reversed
gridlabel[0] = “” # clean up origin
ax.set_rgrids(grid, labels=gridlabel,
angle=angles[i])
#ax.spines[“polar”].set_visible(False)
ax.set_ylim(*ranges[i])
variables for plotting
self.angle = np.deg2rad(np.r_[angles, angles[0]])
self.ranges = ranges
self.ax = axes[0]
def plot(self, data, *args, **kw):
sdata = scale_data(data, self.ranges)
self.ax.plot(self.angle, np.r[sdata, sdata[0]], *args, **kw)
def fill(self, data, *args, **kw):
sdata = scale_data(data, self.ranges)
self.ax.fill(self.angle, np.r[sdata, sdata[0]], *args, **kw)
example data
variables = (“Normal Scale”, “Inverted Scale”, “Inverted 2”, “Normal Scale 2”, “Normal 3”, “Normal 4 %”, “Inverted 3 %”)
data = (1.76, 1.1, 1.2, 4.4, 3.4, 86.8, 20)
ranges = [(0.1, 2.3), (1.5, 0.3), (1.3, 0.5),
(1.7, 4.5), (1.5, 3.7), (70, 87), (100, 10)] # plotting
fig1 = plt.figure(figsize=(6, 6))
radar = ComplexRadar(fig1, variables, ranges)
radar.plot(data)
radar.fill(data, alpha=0.2)
plt.show()