Python 如何在 matplotlib 中为子图设置 xlim 和 ylim
声明：本页面是StackOverFlow热门问题的中英对照翻译，遵循CC BY-SA 4.0协议，如果您需要使用它，必须同样遵循CC BY-SA许可，注明原文地址和作者信息，同时你必须将它归于原作者（不是我）：StackOverFlow
原文地址: http://stackoverflow.com/questions/15858192/
Warning: these are provided under cc-by-sa 4.0 license. You are free to use/share it, But you must attribute it to the original authors (not me):
StackOverFlow
How to set xlim and ylim for a subplot in matplotlib
提问by Cupitor
I would like to limit the X and Y axis in matplotlib but for a speific subplot. As I can see subplot figure itself doesn't have any axis property. I want for example to change only the limits for the second plot!
我想在 matplotlib 中限制 X 和 Y 轴，但要针对特定的子图。正如我所看到的，子图本身没有任何轴属性。例如，我只想更改第二个图的限制！
import matplotlib.pyplot as plt
fig=plt.subplot(131)
plt.scatter([1,2],[3,4])
fig=plt.subplot(132)
plt.scatter([10,20],[30,40])
fig=plt.subplot(133)
plt.scatter([15,23],[35,43])
plt.show()
采纳答案by tacaswell
You should use the OO interface to matplotlib, rather than the state machine interface. Almost all of the plt.*function are thin wrappers that basically do gca().*.
您应该使用 OO 接口到 matplotlib，而不是状态机接口。几乎所有的plt.*功能都是薄包装，基本上可以做gca().*。
plt.subplotreturns an axesobject. Once you have a reference to the axes object you can plot directly to it, change its limits, etc.
plt.subplot返回一个axes对象。获得对轴对象的引用后，您可以直接对其进行绘图、更改其限制等。
import matplotlib.pyplot as plt
ax1 = plt.subplot(131)
ax1.scatter([1, 2], [3, 4])
ax1.set_xlim([0, 5])
ax1.set_ylim([0, 5])
ax2 = plt.subplot(132)
ax2.scatter([1, 2],[3, 4])
ax2.set_xlim([0, 5])
ax2.set_ylim([0, 5])
and so on for as many axes as you want.
等等，你想要多少轴。
or better, wrap it all up in a loop:
或者更好，把它全部包装在一个循环中：
import matplotlib.pyplot as plt
DATA_x = ([1, 2],
[2, 3],
[3, 4])
DATA_y = DATA_x[::-1]
XLIMS = [[0, 10]] * 3
YLIMS = [[0, 10]] * 3
for j, (x, y, xlim, ylim) in enumerate(zip(DATA_x, DATA_y, XLIMS, YLIMS)):
ax = plt.subplot(1, 3, j + 1)
ax.scatter(x, y)
ax.set_xlim(xlim)
ax.set_ylim(ylim)
