如何使用 Matplotlib 对齐两个 y 轴刻度的网格线? [英] How do I align gridlines for two y-axis scales using Matplotlib?

问题描述

我正在绘制 y 轴上具有不同单位的两个数据集.有没有办法让刻度线和网格线在两个 y 轴上对齐?

I'm plotting two datasets with different units on the y-axis. Is there a way to make the ticks and gridlines aligned on both y-axes?

第一张图展示了我得到的东西，第二张图展示了我想要得到的东西.

The first image shows what I get, and the second image shows what I would like to get.

这是我用来绘制的代码:

This is the code I'm using to plot:

import seaborn as sns
import numpy as np
import pandas as pd

np.random.seed(0)
fig = plt.figure()
ax1 = fig.add_subplot(111)
ax1.plot(pd.Series(np.random.uniform(0, 1, size=10)))
ax2 = ax1.twinx()
ax2.plot(pd.Series(np.random.uniform(10, 20, size=10)), color='r')

推荐答案

我不确定这是否是最好的方法，但它确实用一行代码解决了:

I am not sure if this is the prettiest way to do it, but it does fix it with one line:

import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np
import pandas as pd

np.random.seed(0)
fig = plt.figure()
ax1 = fig.add_subplot(111)
ax1.plot(pd.Series(np.random.uniform(0, 1, size=10)))
ax2 = ax1.twinx()
ax2.plot(pd.Series(np.random.uniform(10, 20, size=10)), color='r')

# ADD THIS LINE
ax2.set_yticks(np.linspace(ax2.get_yticks()[0], ax2.get_yticks()[-1], len(ax1.get_yticks())))

plt.show()

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