是否可以在 matplotlib 中自动生成多个子图? [英] Is it possible to automatically generate multiple subplots in matplotlib?

问题描述

是否可以在matplotlib中自动生成多个子图?我要自动化的过程的一个示例是:

Is it possible to automatically generate multiple subplots in matplotlib? An example of the process I want to automate is:

import matplotlib.pyplot as plt
figure = plt.figure()
ax1 = figure.add_subplot(2, 3, 1)
ax2 = figure.add_subplot(2, 3, 2)
ax3 = figure.add_subplot(2, 3, 3)
ax4 = figure.add_subplot(2, 3, 4)
ax5 = figure.add_subplot(2, 3, 5)
ax6 = figure.add_subplot(2, 3, 6)

子图需要唯一的名称，因为这将允许我执行以下操作:

The subplots need unique names, as this will allow me to do stuff like:

for ax in [ax1, ax2, ax3, ax4, ax5, ax6]:
    ax.set_title("example")

非常感谢.

补充:是否有任何函数可以自动生成多个子图?如果我需要重复上述过程 100 次怎么办?我是否必须键入每个ax1到ax100?

Addition: Are there any functions that automate the generation of multiple subplots? What if I needed to repeat the above process 100 times? Would I have to type out every ax1 to ax100?

推荐答案

您可以使用:

fig, axs = plt.subplots(2,3)

axs 将是一个包含子图的数组.

axs will be an array containing the subplots.

或立即解压缩阵列:

fig, ((ax1, ax2, ax3), (ax4, ax5, ax6)) = plt.subplots(2,3)

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