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I have some data with some margin of error and am using numpy arrays to plot that data. Assuming the precision is, let's say, 0.05 or 0.03grams, then the data will be something like

[4.0 $\pm$ 0.05, 3.05 $\pm$ 0.03]

How can I show this on my plot (either on the x axis or the y axis. If it's both, even better)?

I use pyplot and my OS is macOS

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    $\begingroup$ Can you use error bars? See the documentation and this example. Welcome to the site! $\endgroup$
    – Emre
    Oct 25, 2017 at 23:37
  • $\begingroup$ Thanks! Yeah, I think this pretty much solves my question, as simple as it seems. Should I answer to my own question? (I just read your profile) $\endgroup$
    – evaristegd
    Oct 25, 2017 at 23:57
  • $\begingroup$ Yes, please. Try to make it self-contained, so users don't need to follow links (unlike my comment). $\endgroup$
    – Emre
    Oct 26, 2017 at 0:03
  • $\begingroup$ It was just downvoted, so I think I'll just delete it. It was a very easy question anyways $\endgroup$
    – evaristegd
    Oct 26, 2017 at 0:08
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    $\begingroup$ @EvaristeGD Or you can answer your own question and mark the answer correct ... so that it might come useful for someone in the future. $\endgroup$
    – Kiritee Gak
    Oct 26, 2017 at 0:49

1 Answer 1

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One can use the matplotlib.axes.Axes.errorbar class.

From this example in the documentation:

# example error bar values that vary with x-position
error = 0.1 + 0.2 * x

fig, (ax0, ax1) = plt.subplots(nrows=2, sharex=True)
ax0.errorbar(x, y, yerr=error, fmt='-o')
ax0.set_title('variable, symmetric error')

Acknowledgments: Thanks to Emre!

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