Note
Click here to download the full example code
Figure labels: suptitle, supxlabel, supylabelΒΆ
Each axes can have a title (or actually three - one each with loc "left",
"center", and "right"), but is sometimes desirable to give a whole figure
(or SubFigure
) an overall title, using FigureBase.suptitle
.
We can also add figure-level x- and y-labels using FigureBase.supxlabel
and
FigureBase.supylabel
.
from matplotlib.cbook import get_sample_data
import matplotlib.pyplot as plt
import numpy as np
x = np.linspace(0.0, 5.0, 501)
fig, (ax1, ax2) = plt.subplots(1, 2, constrained_layout=True, sharey=True)
ax1.plot(x, np.cos(6*x) * np.exp(-x))
ax1.set_title('damped')
ax1.set_xlabel('time (s)')
ax1.set_ylabel('amplitude')
ax2.plot(x, np.cos(6*x))
ax2.set_xlabel('time (s)')
ax2.set_title('undamped')
fig.suptitle('Different types of oscillations', fontsize=16)
Out:
Text(0.5, 0.99131875, 'Different types of oscillations')
A global x- or y-label can be set using the FigureBase.supxlabel
and
FigureBase.supylabel
methods.
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')
ax.set_ylim([0, 100])
ax.grid()
fig.supxlabel('Year')
fig.supylabel('Percent Degrees Awarded To Women')
plt.show()
Total running time of the script: ( 0 minutes 2.447 seconds)
Keywords: matplotlib code example, codex, python plot, pyplot Gallery generated by Sphinx-Gallery