matplotlib是python的一个基本2D绘图库 功能强大
比较常用的是里面的pyplot子模块
常见函数有figure（）创建一个空白画布 add_subplot()创建子图 title()设置标题
xlabel()设置x轴名称 ylabel（）设置y轴名称 legend()指定图例 show（）显示图形等等
1：实例一如下
代码如下
import pandas as pd import numpy as np from pandas import Series from numpy import nan as NA import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D fig=plt.figure() ax1=fig.add_subplot(2,2,1) ax2=fig.add_subplot(2,2,2) ax3=fig.add_subplot(2,2,3) plt.show()
2:在子图上绘制图形 如三角形 椭圆 矩形
代码如下
import pandas as pd import numpy as np from pandas import Series from numpy import nan as NA import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D ax=fig.add_subplot(1,1,1) rect=plt.Rectangle((0.2,0.75),0.4,0.15,color='r',alpha=0.3) cir=plt.Circle((0.7,0.2),0.15,color='b',alpha=0.3) pgon=plt.Polygon([[0.2,0.2],[0.35,0.25],[0.2,0.6]],color='g',alpha=0.9) ax.add_patch(rect) ax.add_patch(cir) ax.add_patch(pgon) plt.show()
3：直线图的绘画
import pandas as pd import numpy as np from pandas import Series from numpy import nan as NA import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D a=np.arange(10) plt.xlabel('x') plt.ylabel('y') plt.plot(a,a*1.5,a,a*2.5,a,a*3.5,a,a*4.5) plt.legend(['1.5x','2.5x','3.5x','4.5x']) plt.title('simple lines') j=np.linspace(-10,10,100) k=np.sin(j) plt.plot(j,k,marker="o") plt.show()
4：为series数据绘制图形
import numpy as np from pandas import Series from numpy import nan as NA import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D s1=Series(np.random.randn(1000).cumsum()) s2=Series(np.random.randn(1000).cumsum()) plt.subplot(2,1,1) ax1=s1.plot(kind='line',label='S1',title="figures of Series",style='--') s2.plot(ax=ax1,kind='line',label='S2') plt.ylabel('value') plt.legend(loc=2) plt.subplot(2,1,2) s1[0:10].plot(kind='bar',grid=True,label='s1') plt.xlabel('index') plt.ylabel('value') plt.show()
5：三维图形的绘画 虽说matplotlib主要用于二维图形绘制 但是三维的也可以画
import numpy as np from pandas import Series from numpy import nan as NA import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D def randrange(n,randFloor,randceil): rnd=np.random.rand(n) return (randceil-randFloor)*rnd+randFloor plt.rcParams['font.sans-serif']=['SimHei'] fig=plt.figure(figsize=(10,8)) ax=fig.add_subplot(111,projection="3d") n=100 for zmin,zmax,c,m,l in[(4,15,'r','o','低值'),(13,40,'g','*','高值')]: x=randrange(n,0,20) y=randrange(n,0,20) z=randrange(n,zmin,zmax) ax.scatter(x,y,z,c=c,marker=m,label=l,s=z*6) ax.set_xlabel("x-value") ax.set_ylabel("y-value") ax.set_zlabel("z-value") ax.set_title("高低值 3D散点图",alpha=0.6,size=15,weight='bold') ax.legend(loc="upper left") plt.show()
