#!/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 show()