.. _statistics-errorbar_limits: statistics example code: errorbar_limits.py =========================================== .. plot:: /home/tcaswell/other_source/matplotlib/doc/mpl_examples/statistics/errorbar_limits.py :: """ Demo of the errorbar function, including upper and lower limits """ import numpy as np import matplotlib.pyplot as plt # example data x = np.arange(0.5, 5.5, 0.5) y = np.exp(-x) xerr = 0.1 yerr = 0.2 ls = 'dotted' fig = plt.figure() ax = fig.add_subplot(1, 1, 1) # standard error bars plt.errorbar(x, y, xerr=xerr, yerr=yerr, ls=ls, color='blue') # including upper limits uplims = np.zeros(x.shape) uplims[[1, 5, 9]] = True plt.errorbar(x, y+0.5, xerr=xerr, yerr=yerr, uplims=uplims, ls=ls, color='green') # including lower limits lolims = np.zeros(x.shape) lolims[[2, 4, 8]] = True plt.errorbar(x, y+1.0, xerr=xerr, yerr=yerr, lolims=lolims, ls=ls, color='red') # including upper and lower limits plt.errorbar(x, y+1.5, marker='o', ms=8, xerr=xerr, yerr=yerr, lolims=lolims, uplims=uplims, ls=ls, color='magenta') # including xlower and xupper limits xerr = 0.2 yerr = np.zeros(x.shape) + 0.2 yerr[[3, 6]] = 0.3 xlolims = lolims xuplims = uplims lolims = np.zeros(x.shape) uplims = np.zeros(x.shape) lolims[[6]] = True uplims[[3]] = True plt.errorbar(x, y+2.1, marker='o', ms=8, xerr=xerr, yerr=yerr, xlolims=xlolims, xuplims=xuplims, uplims=uplims, lolims=lolims, ls='none', mec='blue', capsize=0, color='cyan') ax.set_xlim((0, 5.5)) ax.set_title('Errorbar upper and lower limits') plt.show() Keywords: python, matplotlib, pylab, example, codex (see :ref:`how-to-search-examples`)