Errorbar limit selection

Illustration of selectively drawing lower and/or upper limit symbols on errorbars using the parameters uplims, lolims of errorbar.

Alternatively, you can use 2xN values to draw errorbars in only one direction.

import numpy as np
import matplotlib.pyplot as plt


fig = plt.figure()
x = np.arange(10)
y = 2.5 * np.sin(x / 20 * np.pi)
yerr = np.linspace(0.05, 0.2, 10)

plt.errorbar(x, y + 3, yerr=yerr, label='both limits (default)')

plt.errorbar(x, y + 2, yerr=yerr, uplims=True, label='uplims=True')

plt.errorbar(x, y + 1, yerr=yerr, uplims=True, lolims=True,
             label='uplims=True, lolims=True')

upperlimits = [True, False] * 5
lowerlimits = [False, True] * 5
plt.errorbar(x, y, yerr=yerr, uplims=upperlimits, lolims=lowerlimits,
             label='subsets of uplims and lolims')

plt.legend(loc='lower right')
errorbar limits simple

Out:

<matplotlib.legend.Legend object at 0x7f9f79509640>

Similarly xuplims and xlolims can be used on the horizontal xerr errorbars.

fig = plt.figure()
x = np.arange(10) / 10
y = (x + 0.1)**2

plt.errorbar(x, y, xerr=0.1, xlolims=True, label='xlolims=True')
y = (x + 0.1)**3

plt.errorbar(x + 0.6, y, xerr=0.1, xuplims=upperlimits, xlolims=lowerlimits,
             label='subsets of xuplims and xlolims')

y = (x + 0.1)**4
plt.errorbar(x + 1.2, y, xerr=0.1, xuplims=True, label='xuplims=True')

plt.legend()
plt.show()
errorbar limits simple

References

The use of the following functions, methods, classes and modules is shown in this example:

Out:

<function errorbar at 0x7f9f91dceaf0>

Keywords: matplotlib code example, codex, python plot, pyplot Gallery generated by Sphinx-Gallery