#用python绘制工件的图像 
import pandas as pd import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D csv_data = np.loadtxt(open('/home/yifei/Proj/PythonProj/getboundary/csvs/fozi.csv',"rb"),delimiter=",",skiprows=0) np.argsort(csv_data, axis=0)#排序 a,b=csv_data.shape print(a,b)

plt.xlabel('x')

plt.ylabel('y')

plt.title('Data')

plt.legend()

tidu=1000

qq=a/tidu

for j in range(0,int(qq)):

x, y = csv_data[tiduj:tiduj+tidu, 0], csv_data[tiduj:tiduj+tidu, 1]

#plt.scatter(x, y, s=0.01, c="#0000ff", marker='o')

plt.plot(x, y, '*', label='Data', color='black')

plt.show()

#绘制散点图 x, y = csv_data[:, 0], csv_data[:, 1] plt.legend() plt.plot(x, y, '*', label='Data', color='black')

plt.scatter(x, y, s=0.01, c="#0000ff", marker='o')

plt.tick_params(axis='both',which='major',labelsize=1) plt.savefig('./test2.png') plt.show()