File: xcorr_demo.py

package info (click to toggle)
matplotlib 1.1.1~rc2-1
  • links: PTS, VCS
  • area: main
  • in suites: wheezy
  • size: 66,076 kB
  • sloc: python: 90,600; cpp: 69,891; objc: 5,231; ansic: 1,723; makefile: 171; sh: 7
file content (17 lines) | stat: -rw-r--r-- 405 bytes parent folder | download | duplicates (7) 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
 
import matplotlib.pyplot as plt
import numpy as np

x,y = np.random.randn(2,100)
fig = plt.figure()
ax1 = fig.add_subplot(211)
ax1.xcorr(x, y, usevlines=True, maxlags=50, normed=True, lw=2)
ax1.grid(True)
ax1.axhline(0, color='black', lw=2)

ax2 = fig.add_subplot(212, sharex=ax1)
ax2.acorr(x, usevlines=True, normed=True, maxlags=50, lw=2)
ax2.grid(True)
ax2.axhline(0, color='black', lw=2)

plt.show()