4.1Subplot多合一显示

import  matplotlib.pyplot as plt
import numpy as npplt.figure()
"""
每个图占一个位置
"""
# plt.subplot(2,2,1)  #将画板分成两行两列，选取第一个位置,可以去掉逗号
# plt.plot([0,1],[0,1])
#
# plt.subplot(2,2,2)
# plt.plot([0,1],[0,1])
#
# plt.subplot(2,2,3)
# plt.plot([0,1],[0,1])
#
# plt.subplot(2,2,4)
# plt.plot([0,1],[0,1])
"""
第一个图独占一行
"""
plt.subplot(2,1,1)
plt.plot([0,1],[0,1])plt.subplot(2,3,4)
plt.plot([0,1],[0,1])plt.subplot(2,3,5)
plt.plot([0,1],[0,1])plt.subplot(2,3,6)
plt.plot([0,1],[0,1])plt.show()

4.2Subplot分格显示

import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
"""
三种不同的subplot显示方法
"""# #第一种:subplot2grid
# plt.figure()
# ax1 = plt.subplot2grid((3,3),(0,0),colspan=3,rowspan=1) #3行3列起始点是0.0,跨度是一行三列
# ax1.plot([1,2],[1,2])
# ax1.set_title('ax1_title')
# ax2 = plt.subplot2grid((3,3),(1,0),colspan=2,rowspan=1) #3行3列起始点是0.0,跨度是一行三列
# ax3 = plt.subplot2grid((3,3),(1,2),colspan=1,rowspan=2)
# ax4 = plt.subplot2grid((3,3),(2,0),colspan=1,rowspan=1)
# ax5 = plt.subplot2grid((3,3),(2,1),colspan=1,rowspan=1)# #第二种：gridspec
# plt.figure()
# gs = gridspec.GridSpec(3,3)
# ax6 = plt.subplot(gs[0,:])
# ax7 = plt.subplot(gs[1,:2]) #第一行占了前两个列
# ax8 = plt.subplot(gs[1:,2]) #第一行之后，占第二个列
# ax9 = plt.subplot(gs[-1,0])
# ax10 = plt.subplot(gs[-1,-2])#第三钟：define structure
f, ((ax11,ax12),(ax21,ax22)) = plt.subplots(2,2,sharex = True,sharey=True)  #sharex共享X轴
ax11.scatter ([1,2],[1,2])plt.tight_layout()
plt.show()

4.3图中图

import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspecfig = plt.figure()
x = [1,2,3,4,5,6,7]
y = [1,3,4,2,5,8,6]left,bottom,width,height = 0.1,0.1,0.8,0.8
ax1 = fig.add_axes([left,bottom,width,height])
ax1.plot(x,y,'r')
ax1.set_xlabel('x')
ax1.set_ylabel('y')
ax1.set_title('title')left,bottom,width,height = 0.2,0.6,0.25,0.25
ax2 = fig.add_axes([left,bottom,width,height])
ax1.plot(x,y,'b')
ax1.set_xlabel('x')
ax1.set_ylabel('y')
ax1.set_title('title inside 1')#第二种画图方法
plt.axes([0.6,0.2,0.25,0.25])
plt.plot(y[::-1],x,'g')
plt.xlabel('x')
plt.ylabel('y')
plt.title('title inside 2')plt.show()

4.4 主次坐标轴

import matplotlib.pyplot as plt
import numpy as npx = np.arange(0,10,0.1)
y1 = 0.05*x**2
y2 = -1*y1fig,ax1 = plt.subplots()
ax2 = ax1.twinx()   #镜面Y1轴
ax1.plot(x,y1,'g-')
ax2.plot(x,y2,'b--')ax1.set_xlabel('X data')
ax1.set_ylabel('Y1',color = 'g')
ax2.set_ylabel('Y2',color = 'b')plt.show()