Matplotlib:使用与先前轴相同的参数添加轴 [英] Matplotlib: Adding an axes using the same arguments as a previous axes

问题描述

我想在两个不同的子图中绘制数据.绘制后，我想回到第一个子图并在其中绘制另一个数据集.但是，当我这样做时，会收到以下警告:

I want to plot data, in two different subplots. After plotting, I want to go back to the first subplot and plot an additional dataset in it. However, when I do so I get this warning:

MatplotlibDeprecationWarning:当前使用与以前的轴相同的参数添加轴现在会重用较早的实例.在将来的版本中，将始终创建并返回一个新实例.同时，通过向每个轴实例传递唯一的标签，可以抑制此警告，并确保将来的行为. warnings.warn(消息，mplDeprecation，stacklevel = 1)

MatplotlibDeprecationWarning: Adding an axes using the same arguments as a previous axes currently reuses the earlier instance. In a future version, a new instance will always be created and returned. Meanwhile, this warning can be suppressed, and the future behavior ensured, by passing a unique label to each axes instance. warnings.warn(message, mplDeprecation, stacklevel=1)

我可以用一段简单的代码来重现它:

I can reproduce that with a simple piece of code:

import matplotlib.pyplot as plt
import numpy as np

# Generate random data
data = np.random.rand(100)

# Plot in different subplots
plt.figure()
plt.subplot(1, 2, 1)
plt.plot(data)

plt.subplot(1, 2, 2)
plt.plot(data)

plt.subplot(1, 2, 1) # Warning occurs here
plt.plot(data + 1)

关于如何避免此警告的任何想法?我使用matplotlib 2.1.0.看起来与此处

Any ideas on how to avoid this warning? I use matplotlib 2.1.0. Looks like the same problem as here

推荐答案

这是一个很好的示例，显示了使用matplotlib的

This is a good example that shows the benefit of using matplotlib's object oriented API.

import numpy as np
import matplotlib.pyplot as plt

# Generate random data
data = np.random.rand(100)

# Plot in different subplots
fig, (ax1, ax2) = plt.subplots(1, 2)
ax1.plot(data)

ax2.plot(data)

ax1.plot(data+1)

plt.show()

注意:以变体名称开头的小写字母(例如， data = ...而不是Data = ...参见 PEP8

Note: it is more pythonic to have variable names start with a lower case letter e.g. data = ... rather than Data = ... see PEP8

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