为什么 matplotlib 中的两个子图都没有显示刻度线？

Question

So I'm trying to plot some data via a scatter graph, and I would expect matplotlib to automatically add tick marks, which it does do on the first subplot. However, the second subplot does not have ticks with labels added automatically. I have tried setting the ticks myself explicitly which didn't work (using xticks and xticklabels).

Below is my code:

axs[0].scatter(dates, yvar, color="black", label="Data")
axs[0].plot(dates, predictions, color="blue", label="Predicted Value")
axs[1].scatter(predictions, yvar, color="red", label="Prediction vs Data")
plt.xticks(())
plt.yticks(())
fig.legend()
plt.show()

Answer 1

This code, trying to replicate your problem, behaves as expected. It produces the matplotlib.pyplot.xticks :

Try to call your legend with each ax individually

import matplotlib.pyplot as plt
import numpy as np
x = np.arange(0, 360, 1)
y = np.sin(2 * x * np.pi / 180)
z = np.cos(2 * x * np.pi / 180)
fig, ax = plt.subplots(2)
ax[0].scatter(x, y, label='label1')
ax[0].plot(x, z, label='label2')
ax[1].scatter(y, z, label='label3')
ax[0].legend()
ax[1].legend()
plt.tight_layout()
plt.show()