我想制作直方图（条形图）。 我有一对阵列：
1）classes_1，proba_1 2）classes_2，proba_2 每个数组有101个元素。 classes_1 / classes_2是字符串（x坐标）和proba_1，proba_2是浮点数。
我的目的：
在(classes_1, proba_1)和(classes_2, proba_2)
问题： classes_2和classes_1都包含101个元素。它们具有相同的元素，但顺序不同，以便：
classes_1 == classes_2
False
我的问题：
1）如何将classes_1和classes_2归为同一个顺序？ classes_1和classes_2中的新订单应更新proba_1和proba_2中的订单。
classes_1和classes_2是列表<class 'list'>
proba_1和proba_2是<class 'numpy.ndarray'>
2）鉴于有序的课程列表，我想用不同的颜色制作选定的课程（让我们说是黑色）
我尝试过：
import numpy as np
import matplotlib.pyplot as plt
classes_1 == classes_2
classes_1 = sorted(classes_1)
classes_2=sorted(classes_2)
# Only classes that are sorted but not proba_1 and proba_2
fig2, ax2 = plt.subplots()
ax2.tick_params(rotation=90)
ax2.bar(classes_1 + classes_2, [0.1] * len(classes_1 + classes_2), visible=False)
# How can l specify the list of classes to be plotted in differet color ?
ax2.bar(classes_1, proba_1, label=' classes 1')
ax2.bar(classes_2, proba_2, label=' classes 2')
ax2.set_xlabel("classes", rotation='vertical')
ax2.set_ylabel("performance")
ax2.legend(loc='best')
以下是我的数据
classes_1
['tennisswing', 'soccerjuggling', 'stillrings', 'drumming', 'rafting', 'wallpushups', 'cuttinginkitchen', 'writingonboard', 'salsaspin', 'diving', 'surfing', 'headmassage', 'mixing', 'playingguitar', 'skydiving', 'horseriding', 'trampolinejumping', 'swing', 'basketballdunk', 'moppingfloor', 'biking', 'hammerthrow', 'jugglingballs', 'longjump', 'boxingboxingspeedbag', 'rowing', 'playingtabla', 'throwdiscus', 'shotput', 'knitting', 'javelinthrow', 'baseballpitch', 'pommelhorse', 'playingdhol', 'playingdaf', 'pushups', 'nunchucks', 'bodyweightsquats', 'hammering', 'sumowrestling', 'walkingwithdog', 'skiing', 'haircut', 'unevenbars', 'playingsitar', 'playingviolin', 'applylipstick', 'cliffdiving', 'skateboarding', 'icedancing', 'pullups', 'bowling', 'babycrawling', 'shavingbeard', 'breaststroke', 'cricketbowling', 'highjump', 'horserace', 'floorgymnastics', 'jumpingjack', 'militaryparade', 'archery', 'playingflute', 'typing', 'benchpress', 'rockclimbingindoor', 'golfswing', 'fencing', 'soccerpenalty', 'applyeyemakeup', 'kayaking', 'skijet', 'taichi', 'pizzatossing', 'punch', 'lunges', 'handstandpushups', 'yoyo', 'playingcello', 'parallelbars', 'fieldhockeypenalty', 'frontcrawl', 'blowingcandles', 'bandmarching', 'playingpiano', 'hulahoop', 'jumprope', 'handstandwalking', 'brushingteeth', 'ropeclimbing', 'cricketshot', 'balancebeam', 'boxingspeedbag', 'polevault', 'cleanandjerk', 'billiards', 'basketball', 'frisbeecatch', 'blowdryhair', 'tabletennisshot', 'volleyballspiking']
proba_1
array([ 0.85416667, 0.30769231, 0.7 , 0.88372093, 0.87878788,
0.33333333, 0.80645161, 0.62162162, 0.38461538, 0.95454545,
0.97368421, 0.75 , 0.97727273, 0.97826087, 1. ,
0.86363636, 0.82857143, 0.76470588, 1. , 0.64285714,
0.63888889, 0.7173913 , 0.38235294, 0.73809524, 0.56097561,
0.70454545, 0.8125 , 0.18918919, 0.30952381, 0.88888889,
0.63636364, 0.69230769, 0.79411765, 0.83333333, 0.90243902,
0.82142857, 0.275 , 0.375 , 0.65853659, 1. ,
0.85714286, 0.97297297, 0.67567568, 0.92857143, 0.97674419,
0.85714286, 0.51724138, 0.92682927, 0.82857143, 1. ,
0.28571429, 0.95348837, 0.85714286, 0.23255814, 0.71428571,
0.28205128, 0.67647059, 1. , 0.68571429, 0.22222222,
0.77777778, 0.65853659, 0.83333333, 0.65217391, 0.88636364,
0.87179487, 0.72727273, 0.60606061, 0.9 , 0.56410256,
0.86111111, 0.85714286, 0.35714286, 0.44827586, 0.83333333,
0.48717949, 0.37837838, 0.54285714, 0.84444444, 0.72727273,
0.86486486, 0.63157895, 0.63333333, 0.88888889, 0.89285714,
0.33333333, 0.23076923, 0.21428571, 0.29411765, 0.15151515,
0.36734694, 0.89655172, 0.65 , 0.74358974, 0.81818182,
1. , 0.39393939, 0.88235294, 0.6 , 0.63636364, 1. ])
classes_2
['wallpushups', 'taichi', 'salsaspin', 'knitting', 'biking', 'throwdiscus', 'stillrings', 'skateboarding', 'playingtabla', 'bodyweightsquats', 'hammering', 'swing', 'playingflute', 'cricketbowling', 'billiards', 'playingviolin', 'cuttinginkitchen', 'cricketshot', 'ropeclimbing', 'unevenbars', 'applyeyemakeup', 'babycrawling', 'blowingcandles', 'writingonboard', 'playingdaf', 'pushups', 'polevault', 'surfing', 'baseballpitch', 'blowdryhair', 'highjump', 'jugglingballs', 'skydiving', 'playingdhol', 'rockclimbingindoor', 'diving', 'militaryparade', 'playingpiano', 'tabletennisshot', 'pommelhorse', 'archery', 'volleyballspiking', 'basketball', 'golfswing', 'typing', 'skiing', 'javelinthrow', 'parallelbars', 'breaststroke', 'trampolinejumping', 'fieldhockeypenalty', 'shavingbeard', 'sumowrestling', 'bowling', 'balancebeam', 'frontcrawl', 'rafting', 'boxingspeedbag', 'cleanandjerk', 'brushingteeth', 'punch', 'soccerjuggling', 'tennisswing', 'nunchucks', 'lunges', 'pullups', 'cliffdiving', 'floorgymnastics', 'basketballdunk', 'playingsitar', 'handstandwalking', 'yoyo', 'handstandpushups', 'soccerpenalty', 'fencing', 'icedancing', 'benchpress', 'skijet', 'rowing', 'longjump', 'mixing', 'applylipstick', 'moppingfloor', 'headmassage', 'horserace', 'drumming', 'walkingwithdog', 'horseriding', 'kayaking', 'shotput', 'hammerthrow', 'jumprope', 'playingguitar', 'hulahoop', 'bandmarching', 'pizzatossing', 'boxingboxingspeedbag', 'frisbeecatch', 'jumpingjack', 'haircut', 'playingcello']
proba_2
array([ 0.25 , 0.67857143, 0.76923077, 1. , 0.44444444,
0.37837838, 0.7 , 0.88571429, 0.71875 , 0.03125 ,
0.26829268, 0.76470588, 0.80952381, 0.33333333, 1. ,
0.89285714, 0.48387097, 0.3877551 , 0.03030303, 0.92857143,
0.41025641, 0.48571429, 0.7 , 0.72972973, 0.75609756,
0.82142857, 0.8974359 , 0.94736842, 0.71794872, 0.425 ,
0.82352941, 0.79411765, 1. , 0.52083333, 0.94871795,
0.88636364, 0.77777778, 0.89285714, 0.60606061, 0.79411765,
0.68292683, 0.89189189, 0.33333333, 0.81818182, 0.36956522,
0.94594595, 0.6969697 , 0.6969697 , 0.64285714, 0.8 ,
0.67567568, 0.30232558, 0.96969697, 0.97674419, 0.89655172,
0.5 , 0.78787879, 0.625 , 0.87878788, 0.82352941,
0.83333333, 0.07692308, 0.83333333, 0.075 , 0.46153846,
0.85714286, 0.97560976, 0.31428571, 1. , 0.48837209,
0.07142857, 0.31428571, 0.40540541, 0.85 , 0.60606061,
1. , 1. , 0.39285714, 0.72727273, 0.80952381,
0.93181818, 0.24137931, 0.75 , 0.65 , 0.87878788,
0.76744186, 0.62857143, 0.86363636, 0.83333333, 0.42857143,
0.65217391, 0.28205128, 1. , 0.69444444, 0.73333333,
0.13793103, 0.04878049, 0.76470588, 0.11111111, 0.48648649,
0.97777778])
我想用不同颜色绘制的类是：
['bowling', 'babycrawling', 'shavingbeard', 'breaststroke','lunges', 'handstandpushups', 'yoyo', 'drumming']
感谢您的帮助
答案 0 :(得分：2)
我不记得必须按照另一个列表的顺序对列表进行排序，但这就是我在你的情况下会做的事情：
appstore现在，data2 = list(zip(classes_2, proba_2))
data2.sort(key=lambda x: classes_1.index(x[0]))
classes_2, proba_2 = zip(*data2)
和classes_1都遵循相同的顺序。
编辑：请注意，此方法的复杂性是二次方的。因此，对于更大的数组或更严格的时间约束，您可以通过在dict中索引classes_2来快速索引查找来加快速度。