Matplotlib 仅在堆积条形图上每 2 个条中绘制 1 个答案

【问题标题】：Matplotlib only plotting 1 out of every 2 bars on stacked bar chartMatplotlib 仅在堆积条形图上每 2 个条中绘制 1 个
【发布时间】：2020-08-14 00:19:48
【问题描述】：

我正在尝试从loglList 绘制下面的堆积条形图。 'up' 或'down' 用于确定颜色，整数是条形代表的百分比。数组可以改变大小，这就是我有for 循环的原因。但是，当我运行代码时，仅绘制了 2 个条中的 1 个，其余的是它们之间的空白。尽管有if 声明，它们的颜色也是错误的。我想知道是否有人对为什么会发生这种情况有任何见解？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()

【问题讨论】：

标签： python numpy matplotlib plot graph

【解决方案1】：

您的代码似乎有几个拼写错误，因此很难猜测其真正意图。这是一个最小的重写：

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
bottom = 0
for 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 = 0.3
vals = 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)

【讨论】：

【解决方案2】：

几个错误。试试：

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]

    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()

【讨论】：