Difference between revisions of "Python - matplotlib"
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savefig('axes_demo.png') | savefig('axes_demo.png') | ||
[Image:Axes_demo.png] | |||
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Revision as of 16:31, 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')
[Image:Axes_demo.png]