Reputation: 654
I have been playing with the radar chart
concept for visualizing percentage-based metrics. I have followed sample code but am having trouble with a few items. Can anyone help me with changing the labels from the default degree values to something else? I also want to set the x-axis minimum to 0.9, but struggled a bit.
Any help or resources are helpful. If there is a more efficient way to solve them, I am open to starting over again.
import numpy as np
import matplotlib.pyplot as plt
availability_array = np.array([.95, .9, .99, .97, 1]) #sample inverter uptime availability numbers using site with 5 inverters
# Compute pie slices
theta = np.linspace(0.0, 2 * np.pi, len(availability_array), endpoint=False)
values = availability_array #values that are graphed
width = 1 #increase/decrease width of each bar
ax = plt.subplot(111, projection='polar') #.set_xticklabels(['N', '', 'W', '', 'S', '', 'E', '']) #111 means 1x1 grid subplot starting in cell 1
bars = ax.bar(theta, values, width=width, bottom=0.0)
# Coloring
for r, bar in zip(values, bars):
bar.set_facecolor(plt.cm.viridis(r / 1))
bar.set_alpha(0.4) #transparency of the bars
plt.show()
Upvotes: 0
Views: 2531
Reputation: 5732
As you've already shown in your comments, labels around the circle are xticklabels
and labels along the radius are yticklabels
, i.e. y-axis is along the radius. Therefore, I think you meant to "set the y-axis minimum to 0.9".
As you would do with regular plot, you can use set_xticks
in combine with set_xticklabels
to change "the labels from the default degree values to something else". For example:
ax.set_xticks([np.pi/4, np.pi*3/4])
ax.set_xticklabels(['NE', 'NW'])
To "set the y-axis minimum to 0.9", you can use set_ylim
like this:
ax.set_ylim(0.9, 1)
Upvotes: 3