Matplotlib: tick labels are inconsist with font setting (LaTeX text example)

Question

I have the following simple python code:

import numpy as np
import matplotlib.pyplot as plt 

plt.rc( 'font', size=20, family="Times" )   # use a font with serifs

# the following line triggers the problem
plt.rc( 'text', usetex=True )               # activate LaTeX text rendering

fig = plt.figure( figsize=(8,6) )           # (width,height) in inches
ax1 = fig.add_subplot( 1, 1, 1 )            # rows cols plotnumber

ax1.plot( np.linspace(1,10,10), np.linspace(1,10,10)**2 )

ax1.set_xlabel( r'\textit{x} in a.u.' )
ax1.set_ylabel( r'\textit{y} in a.u.' )

plt.show()

This results in the following figure:

As you can see, the tick-labels have a too thin font compared with the axes-labels (or the axes-labels are too thick). I have found out that this is due to activating the LaTeX text rendering (see comment in the code), but I have no clue how to change this as I do not want to switch the LaTeX text rendering off.

Any idea why the font-thickness (what is the plural of thickness?) is inconsistent and how to change that?

Update 1: Following the suggestion from llap42, a hack would be to do

plt.xticks([2, 4, 6, 8, 10], ['2', '4', '8', '10' ])

But that is only a hack and there has to be a better solution.

Answer 1

An alternative solution is to set the font latex uses to a sans-serif font. How to achieve this is explained over on tex.stackexchange.

One solution would be to use the sfmath latex package. To add it to the preamble, use

    plt.rc('text.latex', preamble=r'\usepackage[cm]{sfmath}')

This also works for logarithmic scales, where the other proposed solution fails.

Answer 2

As said in the comments, this is rather an issue of ticklabels not obeying the font setting when used with latex.

This issue seems to only occur when using a ScalarFormatter (which is the default formatter for axes). I've posted an issue about this on GitHub.

A workaround may be to use a different Formatter. E.g a StrMethodFormatter:

import matplotlib.pyplot as plt 
import matplotlib.ticker

plt.rc( 'text', usetex=True ) 
plt.rc('font',family = 'sans-serif',  size=20)

fig , ax = plt.subplots(figsize=(5,3))

ax.set_xlabel( r'\textit{x} in a.u.' )
ax.set_ylabel( r'\textit{y} in a.u.' )

fmt = matplotlib.ticker.StrMethodFormatter("{x}")
ax.xaxis.set_major_formatter(fmt)
ax.yaxis.set_major_formatter(fmt)

plt.tight_layout()
plt.show()