CODEWITHSUNDEEP
pythonnumpymatplotlib
Kyle Hunter
Kyle Hunter

Reputation: 267

Plotting asymmetric error bars Matplotlib

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')

enter image description here

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

Upvotes: 4

Views: 1715

Answers (1)

Chris Mueller
Chris Mueller

Reputation: 6690

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)

Upvotes: 4

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