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Merge pull request #4830 from ericmjl/mep12_axes_demo.py
mep12 on axes_demo.py
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#!/usr/bin/env python | ||
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from pylab import * | ||
import matplotlib.pyplot as plt | ||
import numpy as np | ||
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# 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 | ||
t = np.arange(0.0, 10.0, dt) | ||
r = np.exp(-t[:1000]/0.05) # impulse response | ||
x = np.random.randn(len(t)) | ||
s = np.convolve(x, r)[:len(x)]*dt # colored noise | ||
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# 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') | ||
plt.plot(t, s) | ||
plt.axis([0, 1, 1.1*np.amin(s), 2*np.amax(s)]) | ||
plt.xlabel('time (s)') | ||
plt.ylabel('current (nA)') | ||
plt.title('Gaussian colored noise') | ||
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# this is an inset axes over the main axes | ||
a = axes([.65, .6, .2, .2], axisbg='y') | ||
n, bins, patches = hist(s, 400, normed=1) | ||
title('Probability') | ||
setp(a, xticks=[], yticks=[]) | ||
a = plt.axes([.65, .6, .2, .2], axisbg='y') | ||
n, bins, patches = plt.hist(s, 400, normed=1) | ||
plt.title('Probability') | ||
plt.xticks([]) | ||
plt.yticks([]) | ||
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# this is another inset axes over the main axes | ||
a = axes([0.2, 0.6, .2, .2], axisbg='y') | ||
plot(t[:len(r)], r) | ||
title('Impulse response') | ||
setp(a, xlim=(0, .2), xticks=[], yticks=[]) | ||
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a = plt.axes([0.2, 0.6, .2, .2], axisbg='y') | ||
plt.plot(t[:len(r)], r) | ||
plt.title('Impulse response') | ||
plt.xlim(0, 0.2) | ||
plt.xticks([]) | ||
plt.yticks([]) | ||
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show() | ||
plt.show() |