如何在 matplotlib plot 顶部显示刻度标签？

Question

In matplotlib what is the way to have tick labels both at the bottom and in the top x axis? I have searched a lot and still can't find how to do it.

Answer 1

Sorry, I lied in the comments. You can do this easily (but it seems to be badly documented)

fig, ax = plt.subplots(1, 1)
ax.xaxis.set_tick_params(labeltop='on')

Answer 2

You can do it with twiny() :

import numpy as np
import matplotlib.pyplot as plt

fig = plt.figure()
ax1 = fig.add_subplot(111)
ax2 = ax1.twiny()
X2tick_location= ax1.xaxis.get_ticklocs() #Get the tick locations in data coordinates as a numpy array
ax2.set_xticks(X2tick_location)
ax2.set_xticklabels(X2tick_location)
plt.show()

Have a look to this question too for more elaborate plots.

Answer 3

This seems to be the standard way as of v3.5:

fig, ax = plt.subplots()
ax.tick_params('x', top=True, labeltop=True)

Note that the top keyword draws the ticks and the labeltop keyword draws the labels. Documentation here .