File: xcorr_demo.py

package info (click to toggle)
matplotlib 0.98.1-1%2Blenny4
  • links: PTS
  • area: main
  • in suites: lenny
  • size: 18,624 kB
  • ctags: 22,599
  • sloc: python: 76,915; cpp: 63,459; ansic: 5,353; makefile: 111; sh: 12
file content (17 lines) | stat: -rw-r--r-- 392 bytes parent folder | download 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
 
from matplotlib.pylab import figure, show
import numpy

x,y = numpy.random.randn(2,100)
fig = figure()
ax1 = fig.add_subplot(211)
ax1.xcorr(x, y, usevlines=True, maxlags=50, normed=True)
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)
ax2.grid(True)
ax2.axhline(0, color='black', lw=2)

show()