Pylab - 为一些子图调整 hspace
Pylab - Adjust hspace for some of the subplots
我有一个情节,我希望其中一个面板与其他四个面板分开。我希望其余四个面板共享 x 轴。该图如下所示。我希望底部的四个面板共享 x-axis。我试过了
f = plt.figure()
ax6=f.add_subplot(511)
ax4=f.add_subplot(515)
ax1=f.add_subplot(512,sharex=ax4)
ax2=f.add_subplot(513,sharex=ax4)
ax3=f.add_subplot(514,sharex=ax4)
但是,这对我不起作用。附图是用
做的
f = plt.figure()
ax6=f.add_subplot(511)
ax4=f.add_subplot(515)
ax1=f.add_subplot(512)
ax2=f.add_subplot(513)
ax3=f.add_subplot(514)
然后通过
将 xticks 设置为 none
ax1.get_xaxis().set_ticklabels([])
ax2.get_xaxis().set_ticklabels([])
ax3.get_xaxis().set_ticklabels([])
使用f.subplots_adjust(hspace=0) 连接所有子图。有没有办法只加入底部的四个面板?
谢谢!
为此使用两个单独的 gridspec objects 是最简单的。这样你就可以为不同的子图组设置独立的边距、填充等。
举个简单的例子:
import numpy as np
import matplotlib.pyplot as plt
# We'll use two separate gridspecs to have different margins, hspace, etc
gs_top = plt.GridSpec(5, 1, top=0.95)
gs_base = plt.GridSpec(5, 1, hspace=0)
fig = plt.figure()
# Top (unshared) axes
topax = fig.add_subplot(gs_top[0,:])
topax.plot(np.random.normal(0, 1, 1000).cumsum())
# The four shared axes
ax = fig.add_subplot(gs_base[1,:]) # Need to create the first one to share...
other_axes = [fig.add_subplot(gs_base[i,:], sharex=ax) for i in range(2, 5)]
bottom_axes = [ax] + other_axes
# Hide shared x-tick labels
for ax in bottom_axes[:-1]:
plt.setp(ax.get_xticklabels(), visible=False)
# Plot variable amounts of data to demonstrate shared axes
for ax in bottom_axes:
data = np.random.normal(0, 1, np.random.randint(10, 500)).cumsum()
ax.plot(data)
ax.margins(0.05)
plt.show()
我有一个情节,我希望其中一个面板与其他四个面板分开。我希望其余四个面板共享 x 轴。该图如下所示。我希望底部的四个面板共享 x-axis。我试过了
f = plt.figure()
ax6=f.add_subplot(511)
ax4=f.add_subplot(515)
ax1=f.add_subplot(512,sharex=ax4)
ax2=f.add_subplot(513,sharex=ax4)
ax3=f.add_subplot(514,sharex=ax4)
但是,这对我不起作用。附图是用
做的f = plt.figure()
ax6=f.add_subplot(511)
ax4=f.add_subplot(515)
ax1=f.add_subplot(512)
ax2=f.add_subplot(513)
ax3=f.add_subplot(514)
然后通过
将 xticks 设置为 noneax1.get_xaxis().set_ticklabels([])
ax2.get_xaxis().set_ticklabels([])
ax3.get_xaxis().set_ticklabels([])
使用f.subplots_adjust(hspace=0) 连接所有子图。有没有办法只加入底部的四个面板?
谢谢!
为此使用两个单独的 gridspec objects 是最简单的。这样你就可以为不同的子图组设置独立的边距、填充等。
举个简单的例子:
import numpy as np
import matplotlib.pyplot as plt
# We'll use two separate gridspecs to have different margins, hspace, etc
gs_top = plt.GridSpec(5, 1, top=0.95)
gs_base = plt.GridSpec(5, 1, hspace=0)
fig = plt.figure()
# Top (unshared) axes
topax = fig.add_subplot(gs_top[0,:])
topax.plot(np.random.normal(0, 1, 1000).cumsum())
# The four shared axes
ax = fig.add_subplot(gs_base[1,:]) # Need to create the first one to share...
other_axes = [fig.add_subplot(gs_base[i,:], sharex=ax) for i in range(2, 5)]
bottom_axes = [ax] + other_axes
# Hide shared x-tick labels
for ax in bottom_axes[:-1]:
plt.setp(ax.get_xticklabels(), visible=False)
# Plot variable amounts of data to demonstrate shared axes
for ax in bottom_axes:
data = np.random.normal(0, 1, np.random.randint(10, 500)).cumsum()
ax.plot(data)
ax.margins(0.05)
plt.show()