File: violin.py

package info (click to toggle)
matplotlib 3.10.1%2Bdfsg1-5
  • links: PTS, VCS
  • area: main
  • in suites: forky, sid
  • size: 78,340 kB
  • sloc: python: 147,118; cpp: 62,988; objc: 1,679; ansic: 1,426; javascript: 786; makefile: 92; sh: 53
file content (29 lines) | stat: -rw-r--r-- 601 bytes parent folder | download | duplicates (2)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
"""
=============
violinplot(D)
=============
Make a violin plot.

See `~matplotlib.axes.Axes.violinplot`.
"""
import matplotlib.pyplot as plt
import numpy as np

plt.style.use('_mpl-gallery')

# make data:
np.random.seed(10)
D = np.random.normal((3, 5, 4), (0.75, 1.00, 0.75), (200, 3))

# plot:
fig, ax = plt.subplots()

vp = ax.violinplot(D, [2, 4, 6], widths=2,
                   showmeans=False, showmedians=False, showextrema=False)
# styling:
for body in vp['bodies']:
    body.set_alpha(0.9)
ax.set(xlim=(0, 8), xticks=np.arange(1, 8),
       ylim=(0, 8), yticks=np.arange(1, 8))

plt.show()