Reputation: 2791
I've increased the font of my ticklabels successfully, but now they're too close to the axis. I'd like to add a little breathing room between the ticklabels and the axis.
Upvotes: 99
Views: 145548
Reputation: 179
You can specify labelpad = n
, when labelling your axes, for giving some space between ticklabels and the axis.
from matplotlib import pyplot as plt
plt.xlabel("X-axis Label", labelpad = 10)
plt.ylabel("Y-axis Label", labelpad = 10)
Upvotes: 1
Reputation: 62583
axes
plots, but there are other options for a figure
, which can all be positioned by specifying the x=
and y=
parameter.
from matplotlib.cbook import get_sample_data
import matplotlib.pyplot as plt
import numpy as np
fig, axs = plt.subplots(3, 5, figsize=(8, 5), constrained_layout=True,
sharex=True, sharey=True)
fname = get_sample_data('percent_bachelors_degrees_women_usa.csv',
asfileobj=False)
gender_degree_data = np.genfromtxt(fname, delimiter=',', names=True)
majors = ['Health Professions', 'Public Administration', 'Education',
'Psychology', 'Foreign Languages', 'English',
'Art and Performance', 'Biology',
'Agriculture', 'Business',
'Math and Statistics', 'Architecture', 'Physical Sciences',
'Computer Science', 'Engineering']
for nn, ax in enumerate(axs.flat):
ax.set_xlim(1969.5, 2011.1)
column = majors[nn]
column_rec_name = column.replace('\n', '_').replace(' ', '_')
line, = ax.plot('Year', column_rec_name, data=gender_degree_data, lw=2.5)
ax.set_title(column, fontsize='small', loc='left', y=1.05) # move the axes title
ax.set_ylim([0, 100])
ax.tick_params(axis='both', which='major', pad=15) # move the tick labels
ax.grid()
fig.supxlabel('Year', y=-0.15) # with adjusted position
fig.supylabel('Percent Degrees Awarded To Women', x=-0.05) # with adjusted position
fig.suptitle('Majors', y=1.15) # with adjusted position
plt.show()
Upvotes: 4
Reputation: 1601
If you don't want to change the spacing globally (by editing your rcParams), and want a cleaner approach, try this:
ax.tick_params(axis='both', which='major', pad=15)
or for just x axis
ax.tick_params(axis='x', which='major', pad=15)
or the y axis
ax.tick_params(axis='y', which='major', pad=15)
Upvotes: 145
Reputation: 2791
It looks like matplotlib respects these settings as rcParams:
pylab.rcParams['xtick.major.pad']='8'
pylab.rcParams['ytick.major.pad']='8'
Set those before you create any figures and you should be fine.
I've looked at the source code and there doesn't appear to be any other way to set them programmatically. (tick.set_pad() looks like it tries to do the right thing, but the padding seems to be set when the Ticks are constructed and can't be changed after that.)
Upvotes: 47
Reputation: 69242
This can be done using set_pad
but you then have to reset the label...
for tick in ax.get_xaxis().get_major_ticks():
tick.set_pad(8.)
tick.label1 = tick._get_text1()
Upvotes: 24