pltbar怎么弄三种数据多个柱子的复合柱状图

要绘制三种数据的多个柱子的复合柱状图，可以按照以下步骤进行操作：

导入所需的库：

import matplotlib.pyplot as plt
import numpy as np

创建数据：

data1 = [5, 10, 15, 20, 25]
data2 = [10, 15, 20, 25, 30]
data3 = [15, 20, 25, 30, 35]
x = np.arange(len(data1))  # x轴的位置

绘制图形：

width = 0.3  # 柱子的宽度
fig, ax = plt.subplots()
rects1 = ax.bar(x - width, data1, width, label='Data 1')
rects2 = ax.bar(x, data2, width, label='Data 2')
rects3 = ax.bar(x + width, data3, width, label='Data 3')

设置图例和轴标签：

ax.set_xlabel('X')
ax.set_ylabel('Y')
ax.set_title('Multiple Bar Chart')
ax.set_xticks(x)
ax.set_xticklabels(['A', 'B', 'C', 'D', 'E'])
ax.legend()

显示图形：

plt.show()

完整的代码如下：

import matplotlib.pyplot as plt
import numpy as np

data1 = [5, 10, 15, 20, 25]
data2 = [10, 15, 20, 25, 30]
data3 = [15, 20, 25, 30, 35]
x = np.arange(len(data1))

width = 0.3
fig, ax = plt.subplots()
rects1 = ax.bar(x - width, data1, width, label='Data 1')
rects2 = ax.bar(x, data2, width, label='Data 2')
rects3 = ax.bar(x + width, data3, width, label='Data 3')

ax.set_xlabel('X')
ax.set_ylabel('Y')
ax.set_title('Multiple Bar Chart')
ax.set_xticks(x)
ax.set_xticklabels(['A', 'B', 'C', 'D', 'E'])
ax.legend()

plt.show()

运行以上代码即可得到三种数据的多个柱子的复合柱状图