Matplotlib 入门（三）：多图合并 |
您所在的位置：网站首页 › 怎么把多个折线图合并成一个 › Matplotlib 入门（三）：多图合并 |
Matplotlib 入门（三）：多图合并
|
一、多合一显示 1、subplot方法：设置行、列和起始点 plt.subplot(2,1,1) # 分成两行一列，起始点为1 2、代码 # -*- coding: utf-8 -*- """ Created on Sun Sep 24 15:02:51 2017 @author: ryoyun """ # subplot 多合一显示 import matplotlib.pyplot as plt plt.figure() plt.subplot(2,1,1) # 分成两行一列，起始点为1 plt.plot([0,1],[0,1]) # 设置xy轴范围 plt.subplot(2,3,4) # 分成两行三列，起始点位4 plt.plot([0,1],[0,2]) plt.subplot(2,3,5) plt.plot([0,1],[0,3]) plt.subplot(2,3,6) plt.plot([0,1],[0,4]) plt.show()3、效果 二、分格显示 1、代码 # -*- coding: utf-8 -*- """ Created on Sun Sep 24 15:11:01 2017 @author: ryoyun """ # 分格显示 import matplotlib.pyplot as plt import matplotlib.gridspec as gridspec # method 1: subplot2grid ############################ #plt.figure() #ax1 = plt.subplot2grid((3,3),(0,0),colspan = 3,rowspan = 1) #ax1.plot([1,2],[1,2]) #ax1.set_title('ax1_title') #plt.figure() #ax2 = plt.subplot2grid((3,3),(1,0),colspan = 2) #ax3 = plt.subplot2grid((3,3),(1,2),rowspan = 2) #ax4 = plt.subplot2grid((3,3),(2,0)) #ax5 = plt.subplot2grid((3,3),(2,1)) # method 2: gridspec ########################### #plt.figure() #gs = gridspec.GridSpec(3,3) #ax1 = plt.subplot(gs[0,:]) #ax2 = plt.subplot(gs[1,:2]) #ax3 = plt.subplot(gs[1:,2]) #ax4 = plt.subplot(gs[-1,0]) #ax5 = plt.subplot(gs[-1,-2]) # method 3: easy to define structure ########################### f,((ax11,ax12),(ax21,ax22)) = plt.subplots(2,2,sharex=True,sharey=True) ax11.scatter([1,2],[1,2]) plt.tick_layout() plt.show()2、效果 三、图中图 1、每个图的位置设定很重要 left,bottom,width,height = 0.1,0.1,0.8,0.8 ax1 = fig.add_axes([left,bottom,width,height])# 设置位置 2、代码 # -*- coding: utf-8 -*- """ Created on Sun Sep 24 15:32:13 2017 @author: ryoyun """ # 图中图 import matplotlib.pyplot as plt import numpy as np fig = plt.figure() x = [1,2,3,4,5,6,7] y = [1,3,4,2,5,8,6] left,bottom,width,height = 0.1,0.1,1.5,1.5 ax1 = fig.add_axes([left,bottom,width,height])# 设置位置 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]) ax2.plot(y,x,'b') ax2.set_xlabel('x') ax2.set_ylabel('y') ax2.set_title('title inside 1') plt.axes([.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()3、效果 
四、次坐标轴（两个Y轴） 1、画几个散点一点都不难 ax2 = ax1.twinx() # 做镜像处理，ax2是ax1的镜像 2、代码 # -*- coding: utf-8 -*- """ Created on Sun Sep 24 15:44:29 2017 @author: ryoyun """ # 次坐标轴 import matplotlib.pyplot as plt import numpy as np x = np.arange(0,10,0.1) y1= 0.05*x**2 y2= -1*y1 fig,ax1 = plt.subplots() ax2 = ax1.twinx() # 做镜像处理 ax1.plot(x,y1,'g-') ax2.plot(x,y2,'b--') ax1.set_xlabel('X data') #设置x轴标题 ax1.set_ylabel('Y1',color = 'g') #设置Y1轴标题 ax2.set_ylabel('Y2',color = 'b') #设置Y2轴标题 plt.show()3、效果 
五、Animation动画 1、代码 # -*- coding: utf-8 -*- """ Created on Sun Sep 24 15:51:25 2017 @author: ryoyun """ # animation 动画 from matplotlib import animation import matplotlib.pyplot as plt import numpy as np fig, ax = plt.subplots() x = np.arange(0,2*np.pi,0.01) line, = ax.plot(x,np.sin(x)) def animate(i): line.set_ydata(np.sin(x+i/100)) return line, def init(): line.set_ydata(np.sin(x)) return line, ani = animation.FuncAnimation(fig =fig,func=animate,frames= 100,init_func=init, interval=20,blit=False,) plt.show()2、效果 参考：莫烦python https://morvanzhou.github.io/tutorials/ |
【本文地址】