python - Removing the bottom error caps only on matplotlib -


i wanted display half error bars, symetric ; had no clue how "clean way", chose use asymetric errors 0 on bottom side ; then, when displayed caps, realised not best way this.

here's code : 

  import numpy np   import matplotlib.pyplot plt    n = 5   men_means = (20, 35, 30, 35, 27)   men_std = (2, 3, 4, 1, 2)    ind = np.arange(n)   width = 0.35    fig, ax = plt.subplots()   rects1 = ax.bar(ind, men_means, width, color='r',yerr=[np.zeros(len(men_std)),men_std],capsize = 5)    women_means = (25, 32, 34, 20, 25)   women_std = (3, 5, 2, 3, 3)   rects2 = ax.bar(ind + width, women_means, width, color='y',yerr=[np.zeros(len(women_std)),women_std],capsize = 5)    plt.show()

and plot :myplot. can see, way of plotting half error bars not should done.

so there way hide bottom cap line or better way plot half error bars ?

ax.errorbar has option set uplims=true or lolims=true signify means repesent upper or lower limits, respectively. unfortunately, doesn't seem can use these options directly ax.bar, have plot errorbar , bar plot separately.

the documentation uplims/lolims options in ax.errorbar:

lolims / uplims / xlolims / xuplims : bool, optional, default:none

these arguments can used indicate value gives upper/lower limits. in case caret symbol used indicate this. lims-arguments may of same type xerr , yerr. use limits inverted axes, set_xlim() or set_ylim() must called before errorbar().

note using option changes caps arrows. see below example of how change them caps, if need flat caps instead of arrows.

you can see these options in action in this example on matplotlib website.

now, here's example, modified:

import numpy np import matplotlib.pyplot plt  n = 5 men_means = (20, 35, 30, 35, 27) men_std = (2, 3, 4, 1, 2)  ind = np.arange(n) width = 0.35  fig, ax = plt.subplots() rects1 = ax.bar(ind, men_means, width, color='r') err1 = ax.errorbar(ind, men_means, yerr=men_std, lolims=true, capsize = 0, ls='none', color='k')  women_means = (25, 32, 34, 20, 25) women_std = (3, 5, 2, 3, 3) rects2 = ax.bar(ind + width, women_means, width, color='y') err2 = ax.errorbar(ind + width, women_means, yerr=women_std, lolims=true, capsize = 0, ls='none', color='k')  plt.show()

enter image description here

if don't arrows, change them flat caps, changing marker of caplines returned (as second item) ax.errorbar. can change them arrows marker style _, , control size .set_markersize:

import numpy np import matplotlib.pyplot plt  n = 5 men_means = (20, 35, 30, 35, 27) men_std = (2, 3, 4, 1, 2)  ind = np.arange(n) width = 0.35  fig, ax = plt.subplots() rects1 = ax.bar(ind, men_means, width, color='r') plotline1, caplines1, barlinecols1 = ax.errorbar(         ind, men_means, yerr=men_std, lolims=true,         capsize = 0, ls='none', color='k')  caplines1[0].set_marker('_') caplines1[0].set_markersize(20)  women_means = (25, 32, 34, 20, 25) women_std = (3, 5, 2, 3, 3) rects2 = ax.bar(ind + width, women_means, width, color='y') plotline2, caplines2, barlinecols2 = ax.errorbar(         ind + width, women_means, yerr=women_std,         lolims=true, capsize = 0, ls='none', color='k')  caplines2[0].set_marker('_') caplines2[0].set_markersize(10)  plt.show()

enter image description here


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