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"""
====================
Errorbar subsampling
====================
The parameter *errorevery* of `.Axes.errorbar` can be used to draw error bars
only on a subset of data points. This is particularly useful if there are many
data points with similar errors.
"""
import matplotlib.pyplot as plt
import numpy as np
# example data
x = np.arange(0.1, 4, 0.1)
y1 = np.exp(-1.0 * x)
y2 = np.exp(-0.5 * x)
# example variable error bar values
y1err = 0.1 + 0.1 * np.sqrt(x)
y2err = 0.1 + 0.1 * np.sqrt(x/2)
fig, (ax0, ax1, ax2) = plt.subplots(nrows=1, ncols=3, sharex=True,
figsize=(12, 6))
ax0.set_title('all errorbars')
ax0.errorbar(x, y1, yerr=y1err)
ax0.errorbar(x, y2, yerr=y2err)
ax1.set_title('only every 6th errorbar')
ax1.errorbar(x, y1, yerr=y1err, errorevery=6)
ax1.errorbar(x, y2, yerr=y2err, errorevery=6)
ax2.set_title('second series shifted by 3')
ax2.errorbar(x, y1, yerr=y1err, errorevery=(0, 6))
ax2.errorbar(x, y2, yerr=y2err, errorevery=(3, 6))
fig.suptitle('Errorbar subsampling')
plt.show()
# %%
# .. tags::
#
# component: error
# plot-type: errorbar
# level: beginner
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