CODEWITHSUNDEEP
pythonmatplotlib
thosphor
thosphor

Reputation: 2781

Axis and tick labels are bold when they shouldn't be - Matplotlib

I've been making lots of plots with Matplotlib for a report and I've been formatting them all the same; increasing font sizes and things. However, on some of them using exactly the same commands seems to be giving different results - the tick labels are being rendered in a bold font when I haven't told them to be.

As far as I can tell, all the relevant bits of my program (plotting bits) are the same and look like this:

fig = plt.figure()
ax = fig.add_subplot(111)

plt.rc('text', usetex=True)
plt.rc('font', family='serif')

plt.rcParams['xtick.major.pad'] = 10
plt.rcParams['ytick.major.pad'] = 10

for label in ax.get_xticklabels() + ax.get_yticklabels():
    label.set_fontsize(30)

ax.set_ylabel('Normalised magnetisation (a.u.)', fontsize = 30, labelpad=15)
ax.set_xlabel('Temperature (K)', fontsize = 30, labelpad=15)

ax.set_ylim(-1.2, 1.2)
ax.set_xlim(0, 65)

plt.locator_params(axis = 'y', nbins=4)

plt.subplots_adjust(bottom=0.18, left=0.18)

plt.savefig('path/to/file', bbox_inches='tight')

All these commands are the same for multiple plots and just a few have the bold problem. Is there anything obvious I'm missing? Is there some way the way I'm manipulating my data affects the tick labels?

Many thanks.

Edit: It's only the tick labels that are problematic, not the axis labels.

Example

Upvotes: 4

Views: 4062

Answers (1)

user3957034
user3957034

Reputation: 36

I had the same problem and I solved it by changing

fig = plt.figure()
ax = fig.add_subplot(111)

plt.rc('text', usetex=True)
plt.rc('font', family='serif')
plt.rcParams['xtick.major.pad'] = 10
plt.rcParams['ytick.major.pad'] = 10

to

plt.rc('text', usetex=True)
plt.rc('font', family='serif')
plt.rcParams['xtick.major.pad'] = 10
plt.rcParams['ytick.major.pad'] = 10

fig = plt.figure()
ax = fig.add_subplot(111)

Don't ask me why ;)

Upvotes: 2

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