read_txtfile.,m

clearclose allclc%load函数一般将用来导入纯数字的文件，可以是文本格式的文件或者是matlab保存的mat格式的文件position=load('坐标点.txt');   %将.txt数据读入到matlab工作空间[m,n]=size(position);    %获得数据矩阵的大小j=1;sumx=0;sumy=0;for i=1:10    sumx=sumx+position(i,1);    sumy=sumy+position(i,2);endave(j,1)=sumx/10;ave(j,2)=sumy/10;  %求平均值并存在ave中j=j+1;sumx=0;sumy=0;for i=11:19    sumx=sumx+position(i,1);    sumy=sumy+position(i,2);endave(j,1)=sumx/9;ave(j,2)=sumy/9;j=j+1;sumx=0;sumy=0;for i=20:24sumx=sumx+position(i,1);sumy=sumy+position(i,2);endave(j,1)=sumx/5;ave(j,2)=sumy/5;j=j+1;sumx=0;sumy=0;for i=25:34sumx=sumx+position(i,1);sumy=sumy+position(i,2);endave(j,1)=sumx/10;ave(j,2)=sumy/10;j=j+1;sumx=0;sumy=0;for i=35:41sumx=sumx+position(i,1);sumy=sumy+position(i,2);endave(j,1)=sumx/7;ave(j,2)=sumy/7;j=j+1;sumx=0;sumy=0;for i=42:47sumx=sumx+position(i,1);sumy=sumy+position(i,2);endave(j,1)=sumx/6;ave(j,2)=sumy/6;j=j+1;sumx=0;sumy=0;for i=48:53sumx=sumx+position(i,1);sumy=sumy+position(i,2);endave(j,1)=sumx/6;ave(j,2)=sumy/6;j=j+1;sumx=0;sumy=0;for i=54:58sumx=sumx+position(i,1);sumy=sumy+position(i,2);endave(j,1)=sumx/5;ave(j,2)=sumy/5;j=j+1;sumx=0;sumy=0;for i=59:63sumx=sumx+position(i,1);sumy=sumy+position(i,2);endave(j,1)=sumx/5;ave(j,2)=sumy/5;j=j+1;sumx=0;sumy=0;for i=64:68sumx=sumx+position(i,1);sumy=sumy+position(i,2);endave(j,1)=sumx/5;ave(j,2)=sumy/5;save('ave.txt','ave','-ASCII');     %将变量ave的数据写入ave.txt文件并保存,使用ASCII格式save('test.txt','-ASCII')   %把当前工作空间的所有变量保存到test.txt文件中

ave变量数据

坐标点.txt数据

264,715  258,719  274,728  264,728  254,728  257,733  260,731  262,733  268,733  270,739  225,605  223,598  210,605  220,610  223,615  209,615  230,620  220,622  205,618  168,538  168,542  164,544  168,545  174,544  210,455  180,455  175,452  170,453  185,460  178,460  190,470  183,473  175,472  180,476  120,400  119,388  112,394  125,410  114,405  116,410  113,416  96,304  88,305  100,312  93,311  86,310  94,315  10,451  11,449  13,450  16,450  12,453  15,455  162,660  161,659  159,659  160,657  164,658  110,561  110,563  110,565  109,567  112,568  105,473  106,471  103,473  107,475  104,477