multidimensional-array

问题 I’m trying to find an efficient way to fill a 3D array. In particular, I want to fill the array's columns with the values of the previous columns. Here is a reproducible example. set.seed(1234) no_ind <- 10 time_period <- 8 ## Define the 3D array col_array <- c(paste("day_", seq(0, 7, 1), sep="")) test <- array(0, dim=c(time_period, length(col_array), no_ind), dimnames=list(NULL, col_array, as.character(seq(1, no_ind, 1)))) print(test) ## Initialize the array test[1,c("day_0"),] <- round

问题 I'm trying to see if an index, say index 3, all has the same character. For example: nested_array = [[47, 44, 71, 'x', 88], [22, 69, 75, 'x', 73], [83, 85, 97, 'x', 57], [25, 31, 96, 'x', 51], [75, 70, 54, 'x', 83]] As we can see, index 3 has all x'x in it instead of numbers. I want to be able to verify if ALL of the indexes have an x , if so, program returns true. If all but 1 have x's it would return false. I have now implemented this conditional statement as it iterates through each index

问题 I want to add specific (numeric) indexes to a multidimensional array in jquery and then assign values at those indexes. Each index will itself be an array and the indexes of these sub-arrays will also be dynamically assigned. $(document).ready(function(){ $('#Show').click(function(){ var AllItem = new Array(); $("select[name^='Item']").each(function(dropdownumber, selected) { var name = $(this).attr('name'); var toRemove = 'Item['; var name1 = name.replace(toRemove,''); var CategoryCode =

问题 So I'm trying to get a multidimensional array to work in CoffeeScript. I have tried with standard Python list comprehension notation, that makes the inner bracket a string or something. so I can't do list[0][1] to get 1, I instead get list[0][0] = '1,1' and list[0][1] = '' [[i, 1] for i in [1]] Using a class as the storage container, to then grab x and y. Which gives 'undefined undefined', rather then '1 1' for the latter part. class Position constructor:(@x,@y) -> x = [new Position(i,1) for

问题 I have not been able to map this nested array rows->elements to my javabean. Is gson actually capable of handling this kind of mapping? I also tried a different approach, which you can see if you look at the commented out Java code. package scratch; import java.util.ArrayList; import java.util.List; /* { "rows" : [ { "elements" : [ { "distance" : { "text" : "897 mi", "value" : 1443464 }, "duration" : { "text" : "14 hours 32 mins", "value" : 52327 }, "status" : "OK" } ] }, { "elements" : [ {

问题 I have a dictionary from which I like to create a multidimensional array through c#. foreach (KeyValuePair<string, int> pair in rptdata) { string s2 = pair.Key; int s1 = pair.Value; // var ccdata1 = new[] { new object[] { "Item1", 1 } }; // object value = cdata1[s1,s1]; } I need to add code inside the foreach look so that it can create something like the following: var ccdata = new[] { new object[] { "Item1", 1 }, new object[] { "Item2", 2 } }; Note that Item1,Item2 would come from str1 and 1

问题 I know this is a simple question, and one that has certainly been asked but my googlefu is seriously failing me here and I'm drowning. I have an array of values like so array( array(topCat: "1", secondCat: "1", listItem: "List Item 1"), array(topCat: "1", secondCat: "1", listItem: "List Item 2"), array(topCat: "1", secondCat: "2", listItem: "List Item 1"), array(topCat: "1", secondCat: "3", listItem: "List Item 2"), array(topCat: "2", secondCat: "1", listItem: "List Item 1")) etc etc I need

问题 Array ( [0] => Array ( [sysid] => 1 [code] => 140101000 [name] => China [parentid] => 1 ) [1] => Array ( [sysid] => 2 [code] => 140102000 [name] => Japan [parentid] => 1 ) [2] => Array ( [sysid] => 3 [code] => 140103000 [name] => Hongkong [parentid] => 1 ) ) This is my array that i get from my print_r request it is from php it is a multidimensional array that i used json_encode now this is the data i get from success. I want to get all the value of sysid and name from this json to be put in

问题 I did read on numpy indexing but I didn't find what I was looking for. I have a 288*384 image, where each pixel can have a labelling in [0,15]. It is stored in a 3d (288,384,16)-shaped numpy array im . With im[:,:,1] , I can for example get the image where all pixels have the label 1. I have another 2d array labelling , (288*384)-shaped, containing a label for each pixel. How do I get the image where each pixel has the corresponding pixel using some clever slicing? Using loops, that would be:

问题 I am new to numpy ndarrays and i couldn`t find any solution for my issue. I have say 10 files of floating point data. I apply some operation for every pair of files, that returns 1D array. What I want is to have block matrix A[10x10] with rows and cols are my ten files and every element in that matrix is block of 1D array that results my operation applied to f_i and f_j. I gues i need some kind of map, so that i could tell "This f_i and f_j result in certain array" and could access this array