多維陣列

多維陣列基本上是包含其他陣列作為元素的陣列。
它表示為 [sizeDim1][sizeDim2]..[sizeLastDim]type，用對應於維度長度的數字代替 sizeDim，用多維陣列中的資料型別代替 type。

例如，[2][3]int 是代表組成的陣列 2 個陣列的 3 INT 型別元素。
它基本上可的矩陣的表示 2 行和 3 列。

因此，如果你需要為 0 年以後的每分鐘儲存一個數字，我們可以製作像 var values := [2017][12][31][24][60]int 這樣的巨大尺寸數字陣列。

要訪問這種陣列，對於最後一個示例，在 19:42 搜尋 2016-01-31 的值，你將訪問 values[2016][0][30][19][42]（因為**陣列索引從 0 開始，**而不是像 1 天和幾個月一樣）

以下是一些例子：

// Defining a 2d Array to represent a matrix like
// 1 2 3     So with 2 lines and 3 columns;
// 4 5 6     
var multiDimArray := [2/*lines*/][3/*columns*/]int{ [3]int{1, 2, 3}, [3]int{4, 5, 6} }

// That can be simplified like this:
var simplified := [2][3]int{{1, 2, 3}, {4, 5, 6}}

// What does it looks like ?
fmt.Println(multiDimArray)
// > [[1 2 3] [4 5 6]]

fmt.Println(multiDimArray[0]) 
// > [1 2 3]    (first line of the array)

fmt.Println(multiDimArray[0][1])
// > 2          (cell of line 0 (the first one), column 1 (the 2nd one))

// We can also define array with as much dimensions as we need
// here, initialized with all zeros
var multiDimArray := [2][4][3][2]string{} 

fmt.Println(multiDimArray);
// Yeah, many dimensions stores many data
// > [[[["" ""] ["" ""]] [["" ""] ["" ""]] [["" ""] ["" ""]]]
//    [[["" ""] ["" ""]] [["" ""] ["" ""]] [["" ""] ["" ""]]]
//    [[["" ""] ["" ""]] [["" ""] ["" ""]] [["" ""] ["" ""]]]
//    [[["" ""] ["" ""]] [["" ""] ["" ""]] [["" ""] ["" ""]]]]
//   [[[["" ""] ["" ""]] [["" ""] ["" ""]] [["" ""] ["" ""]]]
//    [[["" ""] ["" ""]] [["" ""] ["" ""]] [["" ""] ["" ""]]]
//    [[["" ""] ["" ""]] [["" ""] ["" ""]] [["" ""] ["" ""]]]
//    [[["" ""] ["" ""]] [["" ""] ["" ""]] [["" ""] ["" ""]]]]

// We can set some values in the array's cells
multiDimArray[0][0][0][0] := "All zero indexes"  // Setting the first value
multiDimArray[1][3][2][1] := "All indexes to max"  // Setting the value at extreme location

fmt.Println(multiDimArray);
// If we could see in 4 dimensions, maybe we could see the result as a simple format
    
// > [[[["All zero indexes" ""] ["" ""]] [["" ""] ["" ""]] [["" ""] ["" ""]]]
//    [[["" ""] ["" ""]] [["" ""] ["" ""]] [["" ""] ["" ""]]]
//    [[["" ""] ["" ""]] [["" ""] ["" ""]] [["" ""] ["" ""]]]
//    [[["" ""] ["" ""]] [["" ""] ["" ""]] [["" ""] ["" ""]]]]
//   [[[["" ""] ["" ""]] [["" ""] ["" ""]] [["" ""] ["" ""]]]
//    [[["" ""] ["" ""]] [["" ""] ["" ""]] [["" ""] ["" ""]]]
//    [[["" ""] ["" ""]] [["" ""] ["" ""]] [["" ""] ["" ""]]]
//    [[["" ""] ["" ""]] [["" ""] ["" ""]] [["" ""] ["" "All indexes to max"]]]]