I’m trying to plot a figure without tickmarks or numbers on either of the axes (I use axes in the traditional sense, not the matplotlib nomenclature!). An issue I have come across is where matplotlib adjusts the x(y)ticklabels by subtracting a value N, then adds N at the end of the axis.
This may be vague, but the following simplified example highlights the issue, with ‘6.18’ being the offending value of N:
import matplotlib.pyplot as plt import random prefix = 6.18 rx = [prefix+(0.001*random.random()) for i in arange(100)] ry = [prefix+(0.001*random.random()) for i in arange(100)] plt.plot(rx,ry,'ko') frame1 = plt.gca() for xlabel_i in frame1.axes.get_xticklabels(): xlabel_i.set_visible(False) xlabel_i.set_fontsize(0.0) for xlabel_i in frame1.axes.get_yticklabels(): xlabel_i.set_fontsize(0.0) xlabel_i.set_visible(False) for tick in frame1.axes.get_xticklines(): tick.set_visible(False) for tick in frame1.axes.get_yticklines(): tick.set_visible(False) plt.show()
The three things I would like to know are:
How to turn off this behaviour in the first place (although in most cases it is useful, it is not always!) I have looked through
matplotlib.axis.XAxisand cannot find anything appropriate
How can I make N disappear (i.e.
Is there a better way to do the above anyway? My final plot would be 4×4 subplots in a figure, if that is relevant.
Instead of hiding each element, you can hide the whole axis:
Or, you can set the ticks to an empty list:
In this second option, you can still use
plt.ylabel() to add labels to the axes.