Pylab - 调整某些子图的hspace

toy*_*las 5 python matplotlib

我有一个情节,我想让一个面板与其他四个面板分开.我希望四个面板的其余部分共享x轴.该图如下所示.我希望底部四个面板共享x轴.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)
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但是,这对我不起作用.附图是用

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)
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然后将xticks设置为none

ax1.get_xaxis().set_ticklabels([])
ax2.get_xaxis().set_ticklabels([])
ax3.get_xaxis().set_ticklabels([])
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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! 在此输入图像描述

Joe*_*ton 20

为此,最简单的方法是使用两个独立的gridspec对象.这样,您可以为不同的子图组提供独立的边距,填充等.

作为一个简单的例子:

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()
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在此输入图像描述