Learn what to expect in the new updates
(Source code, png, hires.png, pdf)
'''
Demo for the errorevery keyword to show data full accuracy data plots with
few errorbars.
'''
import numpy as np
import matplotlib.pyplot as plt
# example data
x = np.arange(0.1, 4, 0.1)
y = np.exp(-x)
# example variable error bar values
yerr = 0.1 + 0.1*np.sqrt(x)
# Now switch to a more OO interface to exercise more features.
fig, axs = plt.subplots(nrows=1, ncols=2, sharex=True)
ax = axs[0]
ax.errorbar(x, y, yerr=yerr)
ax.set_title('all errorbars')
ax = axs[1]
ax.errorbar(x, y, yerr=yerr, errorevery=5)
ax.set_title('only every 5th errorbar')
fig.suptitle('Errorbar subsampling for better visualibility')
plt.show()
Keywords: python, matplotlib, pylab, example, codex (see Search examples)