问题描述
在此代码中是否有任何方法可以向量化(或重新格式化)循环的每个主体:
Is there any way to vectorize (or reformulate) each body of the loop in this code:
col=load('col-deau'); %load data
h=col(:,8); % corresponding water column
dates=col(:,3); % and its dates
%removing out-of-bound data
days=days(h~=9999.000);
h=h(h~=9999.000);
dates=sort(dates(h~=9999.000));
[k,hcat]=hist(h,nbin); %making classes (k) and boundaries of classes (hcat) of water column automatically
dcat=1:15; % make boundaries for dates
for k=1:length(dcat)-1 % Loop for each date class
ii=find(dates>=dcat(k)&dates<dcat(k+1));% Counting dates corresponding to the boundaries of each date class
for j=1:length(hcat)-1 % Loop over each class of water column
ij=find(h>=hcat(j)&h<hcat(j+1)); % Count water column corresponding to the boundaries of each water column class
obs(k,j)=length(intersect(ii,ij)); % Find the size of each intersecting matrix
end
end
例如,我尝试使用矢量化来更改此部分:
I've tried using vectorization, for example, to change this part:
for k=1:length(dcat)-1
ii=find(dates>=dcat(k)&dates<dcat(k+1))
endfor
与此:
nk=1:length(dcat)-1;
ii2=find(dates>=dcat(nk)&dates<dcat(nk+1));
,还使用bsxfun:
and also using bsxfun:
ii2=find(bsxfun(@and,bsxfun(@ge,dates,nk),bsxfun(@lt,dates,nk+1)));
但无济于事.这两种方法都产生相同的输出,并且不对应于使用for循环(就元素和向量大小而言).
but to no avail. Both these approaches produce identical output, and do not correspond to that of using for loop (in terms of elements and vector size).
作为信息,h是一个向量,其中包含以米为单位的水柱,而date是一个向量(具有两位数字的整数),其中包含进行相应水柱测量的日期.输入文件位于以下位置: https://drive.google.com/open?id= 1EomLGYleaNtiGG2iV_9LRt425blxdIsm
For information, h is a vector which contains water column in meters and dates is a vector (integer with two digits) which contains the dates in which the measurement for a corresponding water column was taken.The input file can be found here: https://drive.google.com/open?id=1EomLGYleaNtiGG2iV_9LRt425blxdIsm
对于输出,我想要这样的ii:
As for the output, I want to have ii like this:
ii =
1177
1178
1179
1180
1181
1182
1183
1184
1185
1186
1187
1188
1189
1190
1191
1192
1193
1194
1195
1196
1197
1198
1199
1200
1201
1202
1203
1204
1205
1206
1207
1208
1209
1210
1211
1212
1213
1214
1215
1216
1217
1218
1219
1220
1221
1222
1223
1224
1225
1226
1227
1228
1229
1230
1231
1232
1233
1234
1235
1236
1237
1238
1239
1240
1241
1242
1243
1244
1245
1246
1247
1248
1249
1250
1251
1252
1253
1254
1255
1256
1257
1258
1259
1260
1261
1262
1263
1264
1265
1266
1267
1268
1269
1270
1271
1272
使用第一种方法时,我得到的ii2在值和向量大小方面都非常不同(因为向量大小太大,所以我无法发布结果).
instead with the first approach I get ii2 which is very different in terms of value and vector size (I can't post the result because the vector size is too big).
有人可以在这里帮助绝望的新手吗?我只需要将循环部分重新构造为更好,更简洁的版本.
Can someone help a desperate newbie here? I just need to reformulate the loop part into a better, more concise version.
如果需要添加更多详细信息,请随时问我.
If more details need to be added, please feel free to ask me.
推荐答案
您可以使用 hist3 :
pkg load statistics
[obs, ~] = hist3([dates(:) h(:)] ,'Edges', {dcat,hcat});
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