import numpy as np
import matplotlib.pyplot as plt
#准备数据
ypoints=np.array([5,10,15,20,25,30,25,20,15,10,5])
ypoints2=np.array([5,5,5,5,5,5,5,5,5,5,5])
#数据放进图表
#plt.plot(ypoints,'o:g')
#plt.plot(ypoints,marker='o',linestyle=':',color='y')
plt.plot(ypoints,marker='o',ls=':',c='g',linewidth='1')
plt.plot(ypoints2,marker='o',ls=':',c='r',linewidth='1')
#添加标题x轴名字，y轴名字
plt.title("table")
plt.xlabel('x-label')
plt.ylabel('y-label')
#添加网格
plt.grid()
#显示
plt.show()
--------------------------
import numpy as np
import matplotlib.pyplot as plt
ypoints=np.array([5,10,15,20,25,30,25,20,15,10,5]) #分配第一个子表的位置,一行两列的第一个位置 plt.subplot(1,2,1) plt.plot(ypoints,marker='o',ls=':',c='g',linewidth='1') ypoints2=np.array([5,10,15,20,25,30,25,20,15,10,5])*1.5 #分配第一个子表的位置,一行两列的第一个位置 plt.subplot(1,2,2) plt.plot(ypoints) plt.show()
-------------------------------
import numpy as np import matplotlib.pyplot as plt x = np.array([1,2,3,4,5,6,7,8,9,10]) y = np.array([2,8,6,8,10,9,6,6,8,2]) sizes=np.array([10,20,30,40,50,60,70,80,90,100]) colors=np.array(["red","green","black","orange","purple","beige","cyan","magenta","red","orange"]) #scatter 方法散点图 plt.scatter(x,y, s=sizes , c=colors) plt.show()
____________________
import numpy as np import matplotlib.pyplot as plt #随即生成1----50个数据 x=np.random.rand(50) y=np.random.rand(50) plt.scatter(x,y,color='hotpink') #随即生成1----50个数据 x2=np.random.rand(50) y3=np.random.rand(50) plt.scatter(x,y,color='red') plt.show()
