Plotting asymmetric error bars Matplotlib

Question

So I have three sets of data:

min_data = np.array([ 0.317, 0.312, 0.305, 0.296, 0.281, 0.264, 0.255, 
0.237, 0.222, 0.203, 0.186, 0.17, 0.155, 0.113, 0.08])

avg_data = np.array([ 0.3325, 0.3235, 0.3135, 0.30216667, 0.2905, 0.27433333, 
0.26116667, 0.24416667, 0.22833333, 0.20966667, 0.19366667, 0.177, 
0.16316667, 0.14016667, 0.097])

max_data = np.array([ 0.346, 0.331, 0.32, 0.31, 0.299, 0.282, 0.266, 0.25, 
0.234, 0.218, 0.204, 0.187, 0.175, 0.162, 0.115])

I need to plot this data with error bars.

I have attempted:

x = np.linspace(0, 100, 15)
err = [min_data, max_data]
plt.errorbar(x, avg_data, 'bo', yerr=err)

TypeError: errorbar() got multiple values for argument 'yerr'

The final graph should look like this:

plt.plot(x[::-1], avg_data, 'ro')
plt.plot(x[::-1], min_data, 'bo')
plt.plot(x[::-1], max_data, 'bo')

Where the blue points represent where the error bars should be located.

All the documentation I have been able to find only allows asymmetric errors that is equal in + and - y directions.

Thank you

Chris Mueller · Accepted Answer · 2016-10-18 00:14:34Z

4

Your code is failing because it thinks that 'bo' is the yerr argument since the third argument in plt.errorbar is yerr. If you want to pass the format specifier, then you should use the fmt keyword.

plt.errorbar(x, avg_data, fmt='bo', yerr=err)

answered Oct 18, 2016 at 0:14

Chris Mueller

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3 Comments

Kyle Hunter Over a year ago

Ahh, didn't expect that.. Thanks!

Chris Mueller Over a year ago

@KyleHunter No problem. P.S. I plotted your data, and you're going to need to subtract the average from the max and min to get the type of error bars that you're looking for.

Kyle Hunter Over a year ago

Yep I saw that, easy to change :)

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