我该如何告诉Matplotlib创建第二个(新的)图，然后再在旧的图上创建图? [英] How do I tell Matplotlib to create a second (new) plot, then later plot on the old one?

问题描述

我想绘制数据，然后创建一个新图形并绘制data2，最后回到原始绘制并绘制data3，有点像这样:

I want to plot data, then create a new figure and plot data2, and finally come back to the original plot and plot data3, kinda like this:

import numpy as np
import matplotlib as plt

x = arange(5)
y = np.exp(5)
plt.figure()
plt.plot(x, y)

z = np.sin(x)
plt.figure()
plt.plot(x, z)

w = np.cos(x)
plt.figure("""first figure""") # Here's the part I need
plt.plot(x, w)

FYI 我如何知道matplotlib我已经完成了一个情节吗?它不允许我访问原始图块.

FYI How do I tell matplotlib that I am done with a plot? does something similar, but not quite! It doesn't let me get access to that original plot.

推荐答案

如果您发现自己经常做这样的事情，那么可能值得研究一下matplotlib的面向对象的接口.就您而言:

If you find yourself doing things like this regularly it may be worth investigating the object-oriented interface to matplotlib. In your case:

import matplotlib.pyplot as plt
import numpy as np

x = np.arange(5)
y = np.exp(x)
fig1, ax1 = plt.subplots()
ax1.plot(x, y)
ax1.set_title("Axis 1 title")
ax1.set_xlabel("X-label for axis 1")

z = np.sin(x)
fig2, (ax2, ax3) = plt.subplots(nrows=2, ncols=1) # two axes on figure
ax2.plot(x, z)
ax3.plot(x, -z)

w = np.cos(x)
ax1.plot(x, w) # can continue plotting on the first axis

它稍微冗长一些，但更容易跟踪，尤其是几张带有多个子图的图形时.

It is a little more verbose but it's much clearer and easier to keep track of, especially with several figures each with multiple subplots.

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