我有以下问题。我有一个7列的数组。我想要一个列1、2和5的堆积柱状图,这样就有3个条形图,每一列都有不同元素的数量。所以对于列1,我有9个4值,1个值3。在第2列中,我有3个值3和7个值4。在第5列中,我有不同数量的值。我有一个方法,但它非常肮脏,我只能画出第1列和第2列。此外,我想在不同的条形图上绘制一个标签,以显示它们显示的数字。在
bestof10= [4.041970802919708228e-01 4.000000000000000000e+00 4.000000000000000000e+00 6.710000000000000853e+01 5.500000000000000444e-01 4.000000000000000000e+00 6.000000000000000000e+01
3.730468750000000000e-01 4.000000000000000000e+00 4.000000000000000000e+00 1.932000000000000171e+02 7.000000000000000666e-01 6.000000000000000000e+00 6.200000000000000000e+01
3.626570915619389823e-01 4.000000000000000000e+00 3.000000000000000000e+00 3.900000000000000000e+01 5.000000000000000000e-01 4.000000000000000000e+00 5.300000000000000000e+01
3.568320278503046006e-01 4.000000000000000000e+00 4.000000000000000000e+00 8.640000000000000568e+01 6.000000000000000888e-01 7.000000000000000000e+00 6.300000000000000000e+01
3.527336860670193808e-01 4.000000000000000000e+00 4.000000000000000000e+00 6.780000000000001137e+01 6.000000000000000888e-01 3.000000000000000000e+00 5.900000000000000000e+01
3.521825396825397081e-01 4.000000000000000000e+00 4.000000000000000000e+00 1.568000000000000114e+02 7.000000000000000666e-01 1.000000000000000000e+00 5.700000000000000000e+01
3.432835820895522305e-01 3.000000000000000000e+00 4.000000000000000000e+00 8.904999999999999716e+01 6.500000000000000222e-01 7.000000000000000000e+00 4.200000000000000000e+01
3.374888691006233121e-01 4.000000000000000000e+00 3.000000000000000000e+00 3.194999999999999929e+01 4.500000000000000111e-01 7.000000000000000000e+00 5.600000000000000000e+01
3.364879074658254643e-01 4.000000000000000000e+00 4.000000000000000000e+00 2.430000000000000000e+02 7.500000000000000000e-01 5.000000000000000000e+00 6.100000000000000000e+01
3.244781783681214282e-01 4.000000000000000000e+00 3.000000000000000000e+00 8.100000000000001421e+01 6.000000000000000888e-01 6.000000000000000000e+00 5.500000000000000000e+01]
a = np.bincount(bestof10[:,1].astype(int))
ab = np.nonzero(a)[0]
a = a[ab]
a = tuple(a)
b = np.bincount(bestof10[:,2].astype(int))
bb = np.nonzero(b)[0]
b = b[bb]
b = tuple(b)
histogramParas=np.column_stack((a,b))
N = 2
ind = np.arange(N)
width = 0.35
p1 = plt.bar(ind, histogramParas[0], width, color='r')
p2 = plt.bar(ind, histogramParas[1], width, color='y',bottom=histogramParas[0])
plt.ylabel('Scores')
plt.title('Scores by group and gender')
plt.xticks(ind+width/2., ('Radius', 'FRC') )
plt.show()
编辑 应该看起来像:
首先,你需要将你的列表放入一个2D numpy数组中。如您所知,您有多少列,这很简单:
所以现在有了一个包含10行7列的2D数组(shape=(10,7))。所以现在可以用matplotlib轻松地绘制直方图了。在
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