how to show tick labels on top of matplotlib plot?
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.
Answers:
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.
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')
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.
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.
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.
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')
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.