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用matlab

%讀入聚類后的數據, 已經分好級別了，例如前4行是亞洲一流， %5-13是亞洲二流，14-24是亞洲三流 a=xlsread('C:\Users\Liugengxin\Desktop\1.xlsx','sheet3');a1=a(1:4,:); a2=a(5:13,:); a3=a(14:24,:);%二維 % x1=a1(:,1);x2=a2(:,1);x3=a3(:,1); % y1=a1(:,2);y2=a2(:,2);y3=a3(:,2); % scatter(x1,y1,200,'.','r'); % hold on; % scatter(x2,y2,200,'.','g'); % hold on; % scatter(x3,y3,200,'.','b'); % % x1=a1(:,3);x2=a2(:,3);x3=a3(:,3); % y1=a1(:,4);y2=a2(:,4);y3=a3(:,4); % hold on; % scatter(x1,y1,200,'.','r'); % hold on; % scatter(x2,y2,200,'.','g'); % hold on; % scatter(x3,y3,200,'.','b'); % % x1=a1(:,5);x2=a2(:,5);x3=a3(:,5); % y1=a1(:,6);y2=a2(:,6);y3=a3(:,6); % hold on; % scatter(x1,y1,200,'.','r'); % hold on; % scatter(x2,y2,200,'.','g'); % hold on; % scatter(x3,y3,200,'.','b');%三維 x1=a1(:,1);x2=a2(:,1);x3=a3(:,1); y1=a1(:,2);y2=a2(:,2);y3=a3(:,2); z1=a1(:,3);z2=a2(:,3);z3=a3(:,3); scatter3(x1,y1,z1,50,'x','b'); hold on; scatter3(x2,y2,z2,50,'x','g'); hold on; scatter3(x3,y3,z3,50,'x','m');x1=a1(:,4);x2=a2(:,4);x3=a3(:,4); y1=a1(:,5);y2=a2(:,5);y3=a3(:,5); z1=a1(:,6);z2=a2(:,6);z3=a3(:,6); hold on; scatter3(x1,y1,z1,50,'x','b'); hold on; scatter3(x2,y2,z2,50,'x','g'); hold on; scatter3(x3,y3,z3,50,'x','m'); xlabel('pass'); ylabel('goal'); zlabel('score');

用python

import numpy as np import matplotlib.pyplot as pltimport xlrd def xlrd_read_data(path):table = xlrd.open_workbook(path).sheets()[0] #讀取第一個表格row = table.nrows # 行數col = table.ncols # 列數datamatrix = np.zeros((row, col))#生成一個nrows行ncols列，且元素均為0的初始矩陣for x in range(col):cols = np.matrix(table.col_values(x)) # 把list轉換為矩陣進行矩陣操作datamatrix[:, x] = cols # 按列把數據存進矩陣中return datamatrix path = r'c:\Users\Liugengxin\Desktop\1.xlsx' data=xlrd_read_data(path) # x取第一列，y取第二列，z取第三列 x = data[:,0] y = data[:,1] z = data[:,2] ax = plt.subplot(111, projection='3d') # 創建一個三維的繪圖工程# 將數據點分成三部分畫，在顏色上有區分度 # 0~4是一流數據 4~13是二流 13~24是三流 ax.scatter(x[:4], y[:4], z[:4], c='b',marker='x') # 繪制數據點 ax.scatter(x[4:13], y[4:13], z[4:13], c='g',marker='x') ax.scatter(x[13:24], y[13:24], z[13:24], c='m',marker='x')ax.set_zlabel('pass') # 坐標軸 ax.set_ylabel('goal') ax.set_xlabel('score')plt.show()

結果

python　　　　　　　　　　　　　　　　　　　　　　　　 　　　matlab

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轉載于:https://www.cnblogs.com/Liu269393/p/10300289.html

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