In the prior lesson (17.12 -- Multidimensional C-style Arrays), we discussed C-style multidimensional arrays.
// C-style 2d array
int arr[3][4] {
{ 1, 2, 3, 4 },
{ 5, 6, 7, 8 },
{ 9, 10, 11, 12 }};But as you’re aware, we generally want to avoid C-style arrays (unless they are being used to store global data).
In this lesson, we’ll take a look at how multidimensional arrays work with std::array.
There is no standard library multidimensional array class
Note that std::array is implemented as a single-dimensional array. So the first question you should ask is, “is there a standard library class for multidimensional arrays?” And the answer is… no. Too bad. Womp womp.
A two-dimensional std::array
The canonical way to create a two-dimensional array of std::array is to create a std::array where the template type argument is another std::array. That leads to something like this:
std::array<std::array<int, 4>, 3> arr {{ // note double braces
{ 1, 2, 3, 4 },
{ 5, 6, 7, 8 },
{ 9, 10, 11, 12 }}};There are a number of “interesting” things to note about this:
- When initializing a multidimensional
std::array, we need to use double-braces (we discuss why in lesson 17.4 -- std::array of class types, and brace elision). - The syntax is verbose and hard to read.
- Because of the way templates get nested, the array dimensions are switched. We want an array with 3 rows of 4 elements, so
arr[3][4]is natural.std::array<std::array<int, 4>, 3>is backwards.
Indexing a two-dimensional std::array element works just like indexing a two-dimensional C-style array:
std::cout << arr[1][2]; // print the element in row 1, column 2We can also pass a two-dimensional std::array to a function just like a one-dimensional std::array:
#include <array>
#include <iostream>
template <typename T, std::size_t Row, std::size_t Col>
void printArray(std::array<std::array<T, Col>, Row> &arr)
{
for (const auto& arow: arr) // get each array row
{
for (const auto& e: arow) // get each element of the row
std::cout << e << ' ';
std::cout << '\n';
}
}
int main()
{
std::array<std::array<int, 4>, 3> arr {{
{ 1, 2, 3, 4 },
{ 5, 6, 7, 8 },
{ 9, 10, 11, 12 }}};
printArray(arr);
return 0;
}Yuck. And this is for a two-dimensional std::array. A three-dimensional or higher std::array is even more verbose!
Making two-dimensional std::array easier using an alias templates
In lesson 10.7 -- Typedefs and type aliases, we introduced type aliases, and noted that one of the uses of type aliases is to make complex types simpler to use. However, with a normal type alias, we must explicitly specify all template arguments. e.g.
using Array2dint34 = std::array<std::array<int, 4>, 3>;This allows us to use Array2dint34 wherever we want a 3×4 two-dimensional std::array of int. But note we’d need one such alias for every combination of element type and dimensions we want to use!
This is a perfect place to use an alias template, which will lets us specify the element type, row length, and column length for a type alias as template arguments!
// An alias template for a two-dimensional std::array
template <typename T, std::size_t Row, std::size_t Col>
using Array2d = std::array<std::array<T, Col>, Row>;We can then use Array2d<int, 3, 4> anywhere we want a 3×4 two-dimensional std::array of int. That’s much better!
Here’s a full example:
#include <array>
#include <iostream>
// An alias template for a two-dimensional std::array
template <typename T, std::size_t Row, std::size_t Col>
using Array2d = std::array<std::array<T, Col>, Row>;
// When using Array2d as a function parameter, we need to respecify the template parameters
template <typename T, std::size_t Row, std::size_t Col>
void printArray(Array2d<T, Row, Col> &arr)
{
for (const auto& arow: arr) // get each array row
{
for (const auto& e: arow) // get each element of the row
std::cout << e << ' ';
std::cout << '\n';
}
}
int main()
{
// Define a two-dimensional array of int with 3 rows and 4 columns
Array2d<int, 3, 4> arr {{
{ 1, 2, 3, 4 },
{ 5, 6, 7, 8 },
{ 9, 10, 11, 12 }}};
printArray(arr);
return 0;
}Note how much more concise and easy to use this is!
One neat thing about our alias template is that we can define our template parameters in whatever order we like. Since a std::array specifies element type first and then dimension, we stick with that convention. But we have the flexibility to define either Row or Col first. Since C-style array definitions are defined row-first, we define our alias template with Row before Col.
This method also scales up nicely to higher-dimensional std::array:
// An alias template for a three-dimensional std::array
template <typename T, std::size_t Row, std::size_t Col, std::size_t Depth>
using Array3d = std::array<std::array<std::array<T, Depth>, Col>, Row>;Getting the dimensional lengths of a two-dimensional array
Getting the length of a two-dimensional array is slightly non-intuitive.
#include <array>
#include <iostream>
// An alias template for a two-dimensional std::array
template <typename T, std::size_t Row, std::size_t Col>
using Array2d = std::array<std::array<T, Col>, Row>;
int main()
{
// Define a two-dimensional array of int with 3 rows and 4 columns
Array2d<int, 3, 4> arr {{
{ 1, 2, 3, 4 },
{ 5, 6, 7, 8 },
{ 9, 10, 11, 12 }}};
std::cout << "Rows: " << arr.size() << '\n'; // get length of first dimension (rows)
std::cout << "Cols: " << arr[0].size() << '\n'; // get length of second dimension (cols)
return 0;
}In order to get the length of the first dimension, we can just call size() on our array. But what about the second dimension? In order to get the length of the second dimension, we need an element from that dimension. Thus, we first call arr[0] to get the subarray (as element 0 is guaranteed to exist), and then call size() on that.
To get the length of the third dimension of a 3-dimensional array, we could call arr[0][0].size().
Flatting a two-dimensional array
Arrays with two or more dimensions have some challenges:
- They are more verbose to define and work with.
- It is awkward to get the length of dimensions greater than the first.
- They are increasingly hard to iterate over (requiring one more loop for each dimension).
One approach to make multidimensional arrays easier to work with is to flatten them. Flattening an array is a process of reducing the dimensionality of an array (often down to a single dimension).
For example, instead of creating a two-dimensional array with Row rows and Col columns, we can create a one-dimensional array with Row * Col elements. This gives us the same amount of storage using a single dimension.
However, because our one-dimensional array only has a single dimension, we cannot work with it as a multidimensional array. To address this, we can provide an interface that mimics a multidimensional array. This interface will accept two-dimensional coordinates, and then map them to a unique position in the one-dimensional array.
Here’s an example of that approach that works in C++11 or newer:
#include <array>
#include <iostream>
#include <functional>
// An alias template to allow us to define a one-dimensional std::array using two dimensions
template <typename T, std::size_t Row, std::size_t Col>
using ArrayFlat2d = std::array<T, Row * Col>;
// A modifiable view that allows us to work with an ArrayFlat2d using two dimensions
// This is a view, so the ArrayFlat2d being viewed must stay in scope
template <typename T, std::size_t Row, std::size_t Col>
class ArrayView2d
{
private:
// You might be tempted to make m_arr a reference to an ArrayFlat2d,
// but this makes the view non-copy-assignable since references can't be reseated.
// Using std::reference_wrapper gives us reference semantics any copy assignability.
std::reference_wrapper<ArrayFlat2d<T, Row, Col>> m_arr {};
public:
ArrayView2d(ArrayFlat2d<T, Row, Col> &arr)
: m_arr { arr }
{}
// Get element via single subscript (using operator[])
T& operator[](int i) { return m_arr.get()[static_cast<std::size_t>(i)]; }
const T& operator[](int i) const { return m_arr.get()[static_cast<std::size_t>(i)]; }
// Get element via 2d subscript (using operator(), since operator[] doesn't support multiple dimensions prior to C++23)
T& operator()(int row, int col) { return m_arr.get()[static_cast<std::size_t>(row * cols() + col)]; }
const T& operator()(int row, int col) const { return m_arr.get()[static_cast<std::size_t>(row * cols() + col)]; }
// in C++23, you can uncomment these since multidimensional operator[] is supported
// T& operator[](int row, int col) { return m_arr.get()[static_cast<std::size_t>(row * cols() + col)]; }
// const T& operator[](int row, int col) const { return m_arr.get()[static_cast<std::size_t>(row * cols() + col)]; }
int rows() const { return static_cast<int>(Row); }
int cols() const { return static_cast<int>(Col); }
int length() const { return static_cast<int>(Row * Col); }
};
int main()
{
// Define a one-dimensional std::array of int (with 3 rows and 4 columns)
ArrayFlat2d<int, 3, 4> arr {
1, 2, 3, 4,
5, 6, 7, 8,
9, 10, 11, 12 };
// Define a two-dimensional view into our one-dimensional array
ArrayView2d<int, 3, 4> arrView { arr };
// print array dimensions
std::cout << "Rows: " << arrView.rows() << '\n';
std::cout << "Cols: " << arrView.cols() << '\n';
// print array using a single dimension
for (int i=0; i < arrView.length(); ++i)
std::cout << arrView[i] << ' ';
std::cout << '\n';
// print array using two dimensions
for (int row=0; row < arrView.rows(); ++row)
{
for (int col=0; col < arrView.cols(); ++col)
std::cout << arrView(row, col) << ' ';
std::cout << '\n';
}
std::cout << '\n';
return 0;
}This prints:
Rows: 3 Cols: 4 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3 4 5 6 7 8 9 10 11 12
Because operator[] can only accept a single subscript prior to C++23, there are two alternate approaches:
- Use
operator()instead, which can accept multiple subscripts. This lets you use[]for single index indexing and()for multiple-dimension indexing. We’ve opted for this approach above. - Have
operator[]return a subview that also overloadsoperator[]so that you can chainoperator[]. This is more complex and doesn’t scale well to higher dimensions.
In C++23, operator[] was extended to accept multiple subscripts, so you can overload it to handle both single and multiple subscripts (instead of using operator() for multiple subscripts).
Related content
We cover std::reference_wrapper in lesson 17.5 -- Arrays of references via std::reference_wrapper.
std::mdspan C++23
Introduced in C++23, std::mdspan is a modifiable view that provides a multidimensional array interface for a contiguous sequence of elements. By modifiable view, we mean that a std::mdspan is not just a read-only view (like std::string_view) -- if the underlying sequence of elements is non-const, those elements can be modified.
The following example prints the same output as the prior example, but uses std::mdspan instead of our own custom view:
#include <array>
#include <iostream>
#include <mdspan>
// An alias template to allow us to define a one-dimensional std::array using two dimensions
template <typename T, std::size_t Row, std::size_t Col>
using ArrayFlat2d = std::array<T, Row * Col>;
int main()
{
// Define a one-dimensional std::array of int (with 3 rows and 4 columns)
ArrayFlat2d<int, 3, 4> arr {
1, 2, 3, 4,
5, 6, 7, 8,
9, 10, 11, 12 };
// Define a two-dimensional span into our one-dimensional array
// We must pass std::mdspan a pointer to the sequence of elements
// which we can do via the data() member function of std::array or std::vector
std::mdspan mdView { arr.data(), 3, 4 };
// print array dimensions
// std::mdspan calls these extents
std::size_t rows { mdView.extents().extent(0) };
std::size_t cols { mdView.extents().extent(1) };
std::cout << "Rows: " << rows << '\n';
std::cout << "Cols: " << cols << '\n';
// print array in 1d
// The data_handle() member gives us a pointer to the sequence of elements
// which we can then index
for (std::size_t i=0; i < mdView.size(); ++i)
std::cout << mdView.data_handle()[i] << ' ';
std::cout << '\n';
// print array in 2d
// We use multidimensional [] to access elements
for (std::size_t row=0; row < rows; ++row)
{
for (std::size_t col=0; col < cols; ++col)
std::cout << mdView[row, col] << ' ';
std::cout << '\n';
}
std::cout << '\n';
return 0;
}This should be fairly straightforward, but there are a few things worth noting:
std::mdspanlet us define a view with as many dimensions as we want.- The first parameter to the constructor of
std::mdspanshould be a pointer to the array data. This can be a decayed C-style array, or we can use thedata()member function ofstd::arrayorstd::vectorto get this data. - To index a
std::mdspanin one-dimension, we must fetch the pointer to the array data, which we can do using thedata_handle()member function. We can then subscript that. - In C++23,
operator[]accepts multiple indices, so we use[row, col]as our index instead of[row][col].
C++26 will include std::mdarray, which essentially combines std::array and std::mdarray into an owning multidimensional array!