Difference between revisions of "Python - matplotlib"
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* [http://www.scipy.org/Cookbook/Matplotlib?action=show&redirect=wikis%2Ftopical+software%2FMatplotlibCookbook SciPy Wiki] | * [http://www.scipy.org/Cookbook/Matplotlib?action=show&redirect=wikis%2Ftopical+software%2FMatplotlibCookbook SciPy Wiki] | ||
* [http://www.scipy.org/Cookbook/Matplotlib/UsingTex Using TeX with matplotlib] | * [http://www.scipy.org/Cookbook/Matplotlib/UsingTex Using TeX with matplotlib] | ||
= Examples = | |||
== AXES Demo -- | |||
#!/usr/bin/env python | |||
from pylab import * | |||
# create some data to use for the plot | |||
dt = 0.001 | |||
t = arange(0.0, 10.0, dt) | |||
r = exp(-t[:1000]/0.05) # impulse response | |||
x = randn(len(t)) | |||
s = convolve(x,r)[:len(x)]*dt # colored noise | |||
# the main axes is subplot(111) by default | |||
plot(t, s) | |||
axis([0, 1, 1.1*amin(s), 2*amax(s) ]) | |||
xlabel('time (s)') | |||
ylabel('current (nA)') | |||
title('Gaussian colored noise') | |||
# this is an inset axes over the main axes | |||
a = axes([.65, .65, .2, .2], axisbg='y') | |||
n, bins, patches = hist(s, 400, normed=1) | |||
title('Probability') | |||
setp(a, xticks=[], yticks=[]) | |||
# this is another inset axes over the main axes | |||
a = axes([0.2, 0.65, .2, .2], axisbg='g') | |||
plot(t[:len(r)], r) | |||
title('Impulse response') | |||
setp(a, xlim=(0,.2), xticks=[], yticks=[]) | |||
#show() | |||
#savefig('../figures/axes_demo.eps') | |||
#savefig('../figures/axes_demo.png') | |||
savefig('axes_demo.png') | |||
== XX == | |||
Revision as of 16:29, 17 December 2007
Examples
== AXES Demo --
#!/usr/bin/env python
from pylab import *
# create some data to use for the plot
dt = 0.001
t = arange(0.0, 10.0, dt)
r = exp(-t[:1000]/0.05) # impulse response
x = randn(len(t))
s = convolve(x,r)[:len(x)]*dt # colored noise
# the main axes is subplot(111) by default
plot(t, s)
axis([0, 1, 1.1*amin(s), 2*amax(s) ])
xlabel('time (s)')
ylabel('current (nA)')
title('Gaussian colored noise')
# this is an inset axes over the main axes
a = axes([.65, .65, .2, .2], axisbg='y')
n, bins, patches = hist(s, 400, normed=1)
title('Probability')
setp(a, xticks=[], yticks=[])
# this is another inset axes over the main axes
a = axes([0.2, 0.65, .2, .2], axisbg='g')
plot(t[:len(r)], r)
title('Impulse response')
setp(a, xlim=(0,.2), xticks=[], yticks=[])
#show()
#savefig('../figures/axes_demo.eps')
#savefig('../figures/axes_demo.png')
savefig('axes_demo.png')