%读入聚类后的数据, 已经分好级别了，例如前4行是亚洲一流，
%5-13是亚洲二流，14-24是亚洲三流
a=xlsread('C:\Users\Liugengxin\Desktop\1.xlsx','sheet3');a1=a(1:4,:);
a2=a(5:13,:);
a3=a(14:24,:);%二维
% 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');%三维
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');

import numpy as np
import matplotlib.pyplot as pltimport xlrd
def xlrd_read_data(path):table = xlrd.open_workbook(path).sheets()[0] #读取第一个表格row = table.nrows  # 行数col = table.ncols  # 列数datamatrix = np.zeros((row, col))#生成一个nrows行ncols列，且元素均为0的初始矩阵for x in range(col):cols = np.matrix(table.col_values(x))  # 把list转换为矩阵进行矩阵操作datamatrix[:, x] = cols # 按列把数据存进矩阵中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')  # 创建一个三维的绘图工程#  将数据点分成三部分画，在颜色上有区分度
# 0~4是一流数据 4~13是二流 13~24是三流
ax.scatter(x[:4], y[:4], z[:4], c='b',marker='x')  # 绘制数据点
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')  # 坐标轴
ax.set_ylabel('goal')
ax.set_xlabel('score')plt.show()