Matplotlib 仅绘制堆积条形图上每 2 个条中的 1 个

Question

我正在尝试绘制下面的堆积条形图，来自loglList. 或用于确定颜色，整数是条形代表的百分比'up'。'down'数组可以改变大小，所以这就是我有for循环的原因。但是，当我运行代码时，只绘制了 2 个柱中的 1 个，其余是它们之间的空格。尽管声明如此，它们的颜色也是错误的if。我想知道是否有人知道为什么会发生这种情况？谢谢

import numpy as np

import matplotlib.pyplot as plt

loglist = [['up', 0.8519966683633334], ['down', 0.09023182638471149], ['up', 4.120008329091666], ['down', 0.09023182638471149], ['up', 0.3441534403775855], ['down', 0.089075008097728], ['up', 0.3447318495210772], ['down', 1.650779695525427], ['up', 11.537527185229743], ['down', 22.519781592707417], ['up', 14.05245014113183], ['down', 4.601823145620286], ['up', 3.8163435287585026], ['down', 2.34313544028504], ['up', 7.137568830688075], ['down', 0.7415205219564112], ['up', 3.7324742029522002], ['down', 21.91534403775855]]

width = 0.3

barDict = []

for index, plotLog in enumerate(logList):

    if(plotLog[0] == "up"):

        colour = "g"

    elif(plotLog[0] == "down"):

        colour = "r"

    bottom = 0

    for i in range(index):

        bottom = bottom + logList[i][1]

    barDict[index] = plt.bar(1, plotLog[1], width, bottom=bottom, color=colour)

plt.yticks(np.arange(0, 101, 10))

plt.show()

Answer 1

您的代码似乎有几个拼写错误，因此很难猜测其真实意图。这是一个最小的重写：import numpy as npimport matplotlib.pyplot as pltlogList = [['up', 0.8519966683633334], ['down', 0.09023182638471149], ['up', 4.120008329091666], ['down', 0.09023182638471149], ['up', 0.3441534403775855], ['down', 0.089075008097728], ['up', 0.3447318495210772], ['down', 1.650779695525427], ['up', 11.537527185229743], ['down', 22.519781592707417], ['up', 14.05245014113183], ['down', 4.601823145620286], ['up', 3.8163435287585026], ['down', 2.34313544028504], ['up', 7.137568830688075], ['down', 0.7415205219564112], ['up', 3.7324742029522002], ['down', 21.91534403775855]]width = 0.3bottom = 0for index, plotLog in enumerate(logList):    if (plotLog[0] == "up"):        colour = "g"    elif (plotLog[0] == "down"):        colour = "r"    plt.bar(1, plotLog[1], width, bottom=bottom, color=colour)    bottom += plotLog[1]plt.yticks(np.arange(0, 101, 10))plt.xticks([])plt.show()或者，您可以使用以下方法绘制相同的图：width = 0.3vals = np.array([plotLog[1] for plotLog in logList])colours = ['g' if plotLog[0] == "up" else 'r' for plotLog in logList]bars = plt.bar(np.ones_like(vals), vals, bottom=np.append(0, np.cumsum(vals[:-1])), color=colours, width=width)

Answer 2

几个错误。尝试：import numpy as npimport matplotlib.pyplot as pltlogList = [['up', 0.8519966683633334], ['down', 0.09023182638471149], ['up', 4.120008329091666], ['down', 0.09023182638471149], ['up', 0.3441534403775855], ['down', 0.089075008097728], ['up', 0.3447318495210772], ['down', 1.650779695525427], ['up', 11.537527185229743], ['down', 22.519781592707417], ['up', 14.05245014113183], ['down', 4.601823145620286], ['up', 3.8163435287585026], ['down', 2.34313544028504], ['up', 7.137568830688075], ['down', 0.7415205219564112], ['up', 3.7324742029522002], ['down', 21.91534403775855]]width = 0.3barDict = []for index, plotLog in enumerate(logList):    if(plotLog[0] == "up"):        colour = "g"    elif(plotLog[0] == "down"):        colour = "r"    bottom = 0    for i in range(index):        bottom = bottom + logList[i][1]    print(plotLog, plotLog[0])    barDict.append(plt.bar(1, plotLog[1], width, bottom=bottom, color=colour))plt.yticks(np.arange(0, 101, 10))plt.show()