有没有一种方法可以在matplotlib中对箱形图进行分组？
假设我们有三个组“ A”，“ B”和“ C”，并且每个组都想为“苹果”和“橙色”创建箱形图。如果不能直接分组，我们可以创建所有六个组合并将它们线性并排放置。可视化分组的最简单方法是什么？我试图避免将刻度标签设置为“ A +苹果”之类的名称，因为我的情况涉及的名称比“ A”长得多。
如何使用颜色区分“苹果”和“橙色”以及用空格分隔“ A”，“ B”和“ C”？
像这样：
from pylab import plot, show, savefig, xlim, figure, \ hold, ylim, legend, boxplot, setp, axes # function for setting the colors of the box plots pairs def setBoxColors(bp): setp(bp['boxes'][0], color='blue') setp(bp['caps'][0], color='blue') setp(bp['caps'][1], color='blue') setp(bp['whiskers'][0], color='blue') setp(bp['whiskers'][1], color='blue') setp(bp['fliers'][0], color='blue') setp(bp['fliers'][1], color='blue') setp(bp['medians'][0], color='blue') setp(bp['boxes'][1], color='red') setp(bp['caps'][2], color='red') setp(bp['caps'][3], color='red') setp(bp['whiskers'][2], color='red') setp(bp['whiskers'][3], color='red') setp(bp['fliers'][2], color='red') setp(bp['fliers'][3], color='red') setp(bp['medians'][1], color='red') # Some fake data to plot A= [[1, 2, 5,], [7, 2]] B = [[5, 7, 2, 2, 5], [7, 2, 5]] C = [[3,2,5,7], [6, 7, 3]] fig = figure() ax = axes() hold(True) # first boxplot pair bp = boxplot(A, positions = [1, 2], widths = 0.6) setBoxColors(bp) # second boxplot pair bp = boxplot(B, positions = [4, 5], widths = 0.6) setBoxColors(bp) # thrid boxplot pair bp = boxplot(C, positions = [7, 8], widths = 0.6) setBoxColors(bp) # set axes limits and labels xlim(0,9) ylim(0,9) ax.set_xticklabels(['A', 'B', 'C']) ax.set_xticks([1.5, 4.5, 7.5]) # draw temporary red and blue lines and use them to create a legend hB, = plot([1,1],'b-') hR, = plot([1,1],'r-') legend((hB, hR),('Apples', 'Oranges')) hB.set_visible(False) hR.set_visible(False) savefig('boxcompare.png') show()
