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#!/usr/bin/env python
from pylab import *
t = arange(0.1, 4, 0.1)
s = exp(-t)
e = 0.1*abs(randn(len(s)))
f = 0.1*abs(randn(len(s)))
g = 2*e
h = 2*f
figure()
errorbar(t, s, e, fmt='o') # vertical symmetric
figure()
errorbar(t, s, None, f, fmt='o') # horizontal symmetric
figure()
errorbar(t, s, e, f, fmt='o') # both symmetric
figure()
errorbar(t, s, [e,g], [f,h], fmt='--o') # both asymmetric
figure()
errorbar(t, s, [e,g], f, fmt='o', ecolor='g') # both mixed
figure()
errorbar(t, s, e, [f,h], fmt='o') # both mixed
figure()
errorbar(t, s, [e,g], fmt='o') # vertical asymmetric
figure()
errorbar(t, s, yerr=e, fmt='o') # named
figure()
errorbar(t, s, xerr=f, fmt='o') # named
xlabel('Distance (m)')
ylabel('Height (m)')
title('Mean and standard error as a function of distance')
figure()
ax = subplot(111)
ax.set_yscale('log')
errorbar(t, s+2, e, f, fmt='o') # both symmetric
#savefig('errorbar_demo')
show()
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