Nota
Fare clic qui per scaricare il codice di esempio completo
Spine #
Questa demo confronta:
assi normali, con spine su tutti e quattro i lati;
un Asse con spine solo a sinistra e in basso;
un Asse che utilizza limiti personalizzati per limitare l'estensione del dorso.
Ognuno axes.Axes
ha un elenco di Spine
oggetti, accessibile tramite il contenitore ax.spines
.
import numpy as np
import matplotlib.pyplot as plt
x = np.linspace(0, 2 * np.pi, 100)
y = 2 * np.sin(x)
# Constrained layout makes sure the labels don't overlap the axes.
fig, (ax0, ax1, ax2) = plt.subplots(nrows=3, constrained_layout=True)
ax0.plot(x, y)
ax0.set_title('normal spines')
ax1.plot(x, y)
ax1.set_title('bottom-left spines')
# Hide the right and top spines
ax1.spines.right.set_visible(False)
ax1.spines.top.set_visible(False)
# Only show ticks on the left and bottom spines
ax1.yaxis.set_ticks_position('left')
ax1.xaxis.set_ticks_position('bottom')
ax2.plot(x, y)
# Only draw spine between the y-ticks
ax2.spines.left.set_bounds(-1, 1)
# Hide the right and top spines
ax2.spines.right.set_visible(False)
ax2.spines.top.set_visible(False)
# Only show ticks on the left and bottom spines
ax2.yaxis.set_ticks_position('left')
ax2.xaxis.set_ticks_position('bottom')
plt.show()
# .. admonition:: References
#
# The use of the following functions, methods, classes and modules is shown
# in this example:
#
# - `matplotlib.Spines.set_visible`
# - `matplotlib.Spines.set_bounds`
# - `matplotlib.axis.set_ticks_position`