python - 使用 python 3 中的 matplotlib 在堆叠条形图中堆叠多列

Question

我正在尝试生成一个堆积条形图来跟踪多天内每小时的三个参数。样例图为SamplePlot 。然而，我在 python 中绘制这个图并没有成功。事实上，我是 python 的初学者，这让事情变得更糟。

之前为回答此问题所做的两次尝试是:Horizontal stacked bar chart in Matplotlib和 stack bar plot in matplotlib and add label to each section (and suggestions) 。但是，按照上述任何解决方案，我都无法达到预期的结果。

任何人都可以为我提供有关如何生成情节的指导或为我指明方向吗？

编辑1:我写的代码如下:

import matplotlib.pyplot as plt; plt.rcdefaults()
import numpy as np
import matplotlib.pyplot as plt

status_day1 = [[0.2,0.3,0.5], [0.1,0.3,0.6], [0.4,0.4,0.2], [0.6,0.1,0.4]]
status_day2 = [[0.1,0.2,0.7], [0.3,0.2,0.5], [0.1,0.5,0.4], [0.2,0.5,0.3]]

day = ('Day1', 'Day2')

fig = plt.figure(figsize=(10,8))
ax = fig.add_subplot(111)
for x in range(0,4): #Looping through every hour
    for y in range(0,3): #Looping through every parameter
        if y==0:
            ax.bar(1, status_day1[x][y],color='b',align='center')
        elif y==1:
            ax.bar(1, status_day1[x][y],color='r',align='center')
        else:
            ax.bar(1, status_day1[x][y],color='g',align='center')
 # I am assuming that the three parameters for every hour are getting stacked on top of one another           
for x in range(0,4):
    for y in range(0,3):
        if y==0:
            ax.bar(1, status_day2[x][y],color='b',align='center')
        elif y==1:
            ax.bar(1, status_day2[x][y],color='r',align='center')
        else:
            ax.bar(1, status_day2[x][y],color='g',align='center') 

ax.set_xticklabels(day) 
ax.set_xlabel('Day')  
ax.set_ylabel('Hours') 
plt.show()

我得到的不想要的结果是:

Answer 1

您需要跟踪条形图的底部，请参阅 matplotlib 文档中的堆积条形图示例: http://matplotlib.org/examples/pylab_examples/bar_stacked.html

此外，您还可以使用 python 的 zip 和 enumerate 函数以及

for value in data:
     print(value)

而不是

for i in range(len(data)):
    print(data[i])

这样我就得到了预期的结果:

import matplotlib.pyplot as plt

status_day1 = [
    [0.2, 0.3, 0.5],
    [0.1, 0.3, 0.6],
    [0.4, 0.4, 0.2],
    [0.6, 0.1, 0.4],
]

status_day2 = [
    [0.1, 0.2, 0.7],
    [0.3, 0.2, 0.5],
    [0.1, 0.5, 0.4],
    [0.2, 0.5, 0.3],
]

days = ('Day1', 'Day2')

fig = plt.figure(figsize=(10, 8))
ax = fig.add_subplot(1, 1, 1)

for day, data in enumerate((status_day1, status_day2)):
    bottom = 0
    for hour in data:  # Looping through every hour
        for value, color in zip(hour, ('b', 'r', 'g')):
            ax.bar(
                day,
                value,
                bottom=bottom,
                color=color,
                align='center',
            )
            bottom += value


ax.set_xticks([0, 1])
ax.set_xticklabels(days)
ax.set_xlabel('Day')
ax.set_ylabel('Hours')
plt.show()