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"""
==================
Errorbar Subsample
==================
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 appearance')
plt.show()
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