[Tutor] Plotting asymmetric error bars for a single point in matplotlib

[Colin Ross]

Hi all,

Goal: To plot asymmetric x error bars for a single point using errorbar. I
am interested in displaying the inter quartile range (IQR) for a data set.

Code:

import numpy as np
import matplotlib.pyplot as plt

y = 1.0
data = np.random.rand(100)

median = np.median(data)
upper_quartile = np.percentile(data, 75)
lower_quartile = np.percentile(data, 25)
IQR = upper_quartile - lower_quartile

plt.errorbar(median, y, xerr=[lower_quartile ,upper_quartile], fmt='k--')

plt.savefig('IQR.eps')
plt.show()

Error:

Traceback (most recent call last):
  File "IQR.py", line 15, in <module>
    plt.errorbar(median, y, xerr=[0.5,0.75], fmt='k--')
  File "/usr/lib/pymodules/python2.7/matplotlib/pyplot.py", line 2251, in
errorbar
    ret = ax.errorbar(x, y, yerr, xerr, fmt, ecolor, elinewidth, capsize,
barsabove, lolims, uplims, xlolims, xuplims, **kwargs)
  File "/usr/lib/pymodules/python2.7/matplotlib/axes.py", line 5327, in
errorbar
    in cbook.safezip(x,xerr)]
  File "/usr/lib/pymodules/python2.7/matplotlib/cbook.py", line 1294, in
safezip
    raise ValueError(_safezip_msg % (Nx, i+1, len(arg)))
ValueError: In safezip, len(args[0])=1 but len(args[1])=2

My understanding is that safezip zips together the x array with the
specified upper and lower x limits?

Thanks.

Colin