我正在尝试启用主轴和辅助轴的共享。下面的代码说明了示例图。该图包含两个水平轴,主轴网格显示为绿色,而另一个轴网格显示为红色。
#!/usr/bin/python
# -*- coding: utf-8 -*-
import numpy as np
import matplotlib.pyplot as plt
FIRST = 0.0
LAST = 2.0
STEP = 0.01
t = np.arange(FIRST, LAST, STEP)
s1 = np.sin(2*np.pi*t)
s2 = np.exp(-t)
s3 = s1*s2
###############################################################################
plt.rc('axes', grid=True)
plt.rc('grid', color='0.75', linestyle='-', linewidth=0.5)
fig3 = plt.figure()
ax1primary = plt.subplot2grid((4,3), (0,0), colspan=3, rowspan=2)
ax2primary = plt.subplot2grid((4,3), (2,0), colspan=3, sharex=ax1primary)
ax3primary = plt.subplot2grid((4,3), (3,0), colspan=3, sharex=ax1primary)
ax1primary.plot(t,s1)
ax1primary.set_yticks(np.arange(-0.9, 1.0, 0.3))
ax1primary.xaxis.grid(color='green')
ax2primary.plot(t[:150],s2[:150])
ax2primary.set_yticks(np.arange(0.3, 1, 0.2))
ax2primary.xaxis.grid(color='green')
ax3primary.plot(t[30:],s3[30:])
ax3primary.plot([0,2],[0.2,0.2],'m')
ax3primary.set_yticks(np.arange(-0.4, 0.7, 0.2))
ax3primary.xaxis.grid(color='green')
INDEX = t[np.where(abs(s3-0.2) < 0.005)[0]]
INDEX = np.append(INDEX, LAST)
INDEX = np.insert(INDEX, 0, FIRST)
ax1secondary = ax1primary.twiny()
ax1secondary.set_xticks(INDEX)
ax1secondary.xaxis.grid(color='red')
ax2secondary = ax2primary.twiny()
ax2secondary.set_xticks(INDEX)
ax2secondary.xaxis.grid(color='red')
ax3secondary = ax3primary.twiny()
ax3secondary.set_xticks(INDEX)
ax3secondary.xaxis.grid(color='red')
plt.tight_layout()
plt.subplots_adjust(hspace=0)
for ax in [ax1primary, ax2primary, ax2secondary, ax3secondary]:
plt.setp(ax.get_xticklabels(), visible=False)
###############################################################################
plt.show()
在静态图上没有问题。当
您开始平移(或缩放)子图之一。主(绿色)轴完全保持同步并在所有子图中移动,但次要(红色)轴未对齐并且仅在活动子图中移动。
有没有办法来解决这个问题?
我想要实现的行为如下:
我需要一个公共“主”x 轴(对于所有三个子图),其刻度位于图的底部,另一个公共“辅助”x 轴(对于所有三个子图),其刻度位于图的顶部。主轴是标准的规则间隔轴,而次轴显示自定义刻度(例如过零)这在上面的例子中都得到了满足。现在我需要在平移和缩放子图时也满足它。