Matplotlib boxplot with custom summary stats

boxplot.py

# To the extent possible under law, Matthew Wigginton Conway has waived all copyright and
# related or neighboring rights to this work. This work is published from: United States. 
def customBoxPlot (whiskerLo, boxLo, med, boxHi, whiskerHi, **kwargs):
    fakeData = [np.array([42, 42]) for i in whiskerLo]
    bp = plt.boxplot(fakeData, **kwargs)
    
    for i in range(len(whiskerLo)):
        # https://stackoverflow.com/questions/27214537
        # This can't possibly be the best way to do this...
        # lower whisker
        bp['whiskers'][2 * i].set_ydata([whiskerLo[i], boxLo[i]])
        # upper whisker
        bp['whiskers'][2 * i + 1].set_ydata([boxHi[i], whiskerHi[i]])
        bp['medians'][i].set_ydata(med[i])
        bp['boxes'][i].set_ydata([
            boxLo[i],
            boxLo[i],
            boxHi[i],
            boxHi[i],
            boxLo[i]
        ])
        bp['caps'][2 * i].set_ydata([whiskerLo[i], whiskerLo[i]])
        bp['caps'][2 * i + 1].set_ydata([whiskerHi[i], whiskerHi[i]])
        
    hgt = max(whiskerHi) - min(whiskerLo)
    plt.ylim(min(whiskerLo) - 0.1 * hgt, max(whiskerHi) + 0.1 * hgt)
    return bp

customBoxPlot([2, .9], [4, 5.2], [6, 5.8], [8, 6.6], [10, 6.9])