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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.
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Steps. Create a list of numbers (x) that can be used to tick the axes. Get the axis using subplot() that helps to add a subplot to the current figure. Set the ticks on X and Y axes using set_xticks and set_yticks methods respectively and list x (from step 1).
To remove the ticks on both the x-axis and y-axis simultaneously, we can pass both left and right attributes simultaneously setting its value to False and pass it as a parameter inside the tick_params() function. It removes the ticks on both x-axis and the y-axis simultaneously.
Tick formatters can be set in one of two ways, either by passing a str or function to set_major_formatter or set_minor_formatter , or by creating an instance of one of the various Formatter classes and providing that to set_major_formatter or set_minor_formatter .
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')
76
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.
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