Matplotlib asymmetric errorbar plotting in python

Question

Running into an error when trying to plot asymmetric errobars which range from negative values to positive values. I modified the example taken from documentation:

import numpy as np
import matplotlib.pyplot as plt

# example data
x = np.arange(0, 4, 1)
y = -0.2* x


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

# error bar values w/ different -/+ errors that
# also vary with the x-position
lower_error = -1 * error
upper_error = 4* error
asymmetric_error = [lower_error, upper_error]

plt.errorbar(x, y, yerr=asymmetric_error, fmt='.', ecolor = 'red')
plt.show()

which gives the following plot:

but with the following value for asymmetric error:

array([-0.1, -0.3, -0.5, -0.7]), array([0.4, 1.2, 2. , 2.8])]

This seems to follow documentation so I am not sure what could be causing this.

Scott Boston · Accepted Answer · 2020-06-23 00:58:45Z

10

You don't need the negative in front of the lower error.

import numpy as np
import matplotlib.pyplot as plt

# example data
x = np.arange(0, 4, 1)
y = -0.2* x


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

# error bar values w/ different -/+ errors that
# also vary with the x-position
lower_error =  error
upper_error =  4*error
asymmetric_error = np.array(list(zip(lower_error, upper_error))).T

plt.errorbar(x, y, yerr=asymmetric_error, fmt='.', ecolor = 'red')
plt.show()

Output:

answered Jun 23, 2020 at 0:58

Scott Boston

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