numel - Number of array elements - MATLAB (original) (raw)
Syntax
Description
n = numel([A](#btl24wx-1-A))
returns the number of elements, n
, in array A
, equivalent to prod(size(A))
.
Examples
Create a 4-by-4-by-2 matrix.
A = magic(4); A(:,:,2) = A'
A = A(:,:,1) =
16 2 3 13
5 11 10 8
9 7 6 12
4 14 15 1
A(:,:,2) =
16 5 9 4
2 11 7 14
3 10 6 15
13 8 12 1
numel
counts 32 elements in the matrix.
Create a string array and compute the number of elements in the array.
A = ["a" "b" "c"; "d" "e" "f"]
A = 2×3 string "a" "b" "c" "d" "e" "f"
Create a cell array of character vectors.
A = {'dog','cat','fish','horse'};
numel
counts 4 elements in the array.
Create a table with four variables listing patient information for five people.
LastName = {'Smith';'Johnson';'Williams';'Jones';'Brown'}; Age = [38;43;38;40;49]; Height = [71;69;64;67;64]; Weight = [176;163;131;133;119]; BloodPressure = [124 93; 109 77; 125 83; 117 75; 122 80];
A = table(Age,Height,Weight,BloodPressure,'RowNames',LastName)
A=5×4 table Age Height Weight BloodPressure ___ ______ ______ _____________
Smith 38 71 176 124 93
Johnson 43 69 163 109 77
Williams 38 64 131 125 83
Jones 40 67 133 117 75
Brown 49 64 119 122 80
Find the number of elements in the table.
numel
returns a value equivalent to prod(size(A))
corresponding to the 5 rows and 4 variables.
Input Arguments
Input array, specified as a scalar, vector, matrix, multidimensional array, table, or timetable.
Tips
- If
A
is a table,numel
returns the number of elements in the table,A
, equivalent toprod(size(A))
. Variables in a table can have multiple columns, butnumel(A)
only accounts for the number of rows and number of variables. - If
A
is a character vector of typechar
, thennumel
returns the number of characters. However, ifA
is a string scalar,numel
returns1
because it is a single element of a string array. For example, compare the output ofnumel
for a character vector and string:
Extended Capabilities
Thenumel
function fully supports tall arrays. For more information, see Tall Arrays.
The numel
function fully supports GPU arrays. To run the function on a GPU, specify the input data as a gpuArray (Parallel Computing Toolbox). For more information, see Run MATLAB Functions on a GPU (Parallel Computing Toolbox).
Version History
Introduced before R2006a