在matplotlib中的子图周围绘制边框

问题描述

有谁知道如何在 matplotlib 中的图形中的单个子图周围绘制边框?我正在使用 pyplot.

Anyone know how to draw a border around an individual subplot within a figure in matplotlib? I'm using pyplot.

例如:

import matplotlib.pyplot as plt
f = plt.figure()
ax1 = f.add_subplot(211)
ax2 = f.add_subplot(212)
# ax1.set_edgecolor('black')

..但是 Axes 对象没有边缘颜色"，我似乎也找不到从图形级别勾勒出图的方法.

..but Axes objects have no 'edgecolor', and I can't seem to find a way to outline the plot from the figure level either.

我实际上是包装mpl代码并添加一个wx UI，该UI带有我希望根据选择的子图具有上下文的控件.即，用户单击图形画布中的子图-选择"子图(在其周围绘制了轮廓，最好是锯齿形)-GUI更新以显示控件以修改该特定子图.

I'm actually wrapping mpl code and adding a wx UI with controls that I would like to have context depending on which subplot is selected. i.e. User clicks on subplot within figure canvas -- subplot is 'selected' (has an outline drawn around it, ideally sawtooth) -- GUI updates to present controls to modify that specific subplot.

推荐答案

您本质上是想在坐标区之外进行绘制，对吗?

You essentially want to draw outside of the axes, right?

我改编自此处.当我在其中使用一些硬编码的忽悠因素"时，将需要清理.

I adapted this from here. It would need clean up as I used some hard-coded "fudge-factors" in there.

#!/usr/bin/env python
from pylab import *

def f(t):
    s1 = cos(2*pi*t)
    e1 = exp(-t)
    return multiply(s1,e1)

t1 = arange(0.0, 5.0, 0.1)
t2 = arange(0.0, 5.0, 0.02)
t3 = arange(0.0, 2.0, 0.01)

figure(figsize=(4, 4))
sub1 = subplot(211)
l = plot(t1, f(t1), 'bo', t2, f(t2), 'k--', markerfacecolor='green')
grid(True)
title('A tale of 2 subplots')
ylabel('Damped oscillation')

## I ADDED THIS
autoAxis = sub1.axis()
rec = Rectangle((autoAxis[0]-0.7,autoAxis[2]-0.2),(autoAxis[1]-autoAxis[0])+1,(autoAxis[3]-autoAxis[2])+0.4,fill=False,lw=2)
rec = sub1.add_patch(rec)
rec.set_clip_on(False)

subplot(212)
plot(t3, cos(2*pi*t3), 'r.')
grid(True)
xlabel('time (s)')
ylabel('Undamped')

savefig('test.png')

产生:

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