12.子图布局，嵌套

import numpy as np
import matplotlib.pyplot as plt
# 不用打imshow也能显示
%matplotlib inline 

子图布局

# 3行3列，第二个参数是在什么位置
ax1 = plt.subplot2grid((3,3), (0,0))
ax2 = plt.subplot2grid((3,3), (0,1))
ax3 = plt.subplot2grid((3,3), (1,0))
ax4 = plt.subplot2grid((3,3), (1,1))
ax5 = plt.subplot2grid((3,3), (0,2), rowspan=2) # 占用多行
ax6 = plt.subplot2grid((3,3), (2,0), colspan=3) # 占用多列

子图嵌套

x = np.linspace(0,10,1000)
y2 = np.sin(x**2)
y1 = x**2

# 主轴
fig, ax1 = plt.subplots()
left, bottom, width, height = [0.22,0.45,0.3,0.35]
# 嵌套一个子轴
ax2 = fig.add_axes([left,bottom,width,height])

ax1.plot(x,y1)
ax2.plot(x,y2)

[<matplotlib.lines.Line2D at 0x26272f307b8>]

• 第二种子图嵌套

from mpl_toolkits.axes_grid.inset_locator import inset_axes

fig, ax1 = plt.subplots(figsize=(20,20))
ax1.bar(range(10),np.random.randn(10))
ax2 = inset_axes(ax1, width=6, height=6, loc=5)
ax2.plot([1,2,3],[2,3,4])

[<matplotlib.lines.Line2D at 0x26273030748>]