reshape
reshape(A, dims)
Create an array with the same data as the given array, but with different dimensions. An implementation for a particular type of array may choose whether the data is copied or shared.
Examples

Reshape a 1dimensional array:
julia> arr = [1, 2, 3, 4, 5, 6]; julia> reshape(arr, (2, 3)) 2×3 Matrix{Int64}: 1 3 5 2 4 6
This example reshapes the 1dimensional array
arr
into a 2x3 matrix. 
Reshape a multidimensional array:
julia> matrix = [1 2 3; 4 5 6; 7 8 9; 10 11 12]; julia> reshape(matrix, (2, 6)) 2×6 Matrix{Int64}: 1 3 5 7 9 11 2 4 6 8 10 12
It reshapes the 2x3 matrix
matrix
into a 2x6 matrix.  Change the shape of a vector:
julia> vec = [1, 2, 3, 4, 5, 6]; julia> reshape(vec, (2, 3)) 2×3 Matrix{Int64}: 1 3 5 2 4 6
This example reshapes the vector
vec
into a 2x3 matrix.
Common mistake example:
julia> arr = [1, 2, 3, 4, 5, 6];
julia> reshape(arr, (2, 4))
ERROR: DimensionMismatch("new dimensions (2, 4) must be consistent with array size 6")
In this example, the desired dimensions (2, 4)
are not consistent with the size of the array arr
. It's important to ensure that the total number of elements remains the same after reshaping.
See Also
Array, broadcast, cat, combinations, conj!, digits!, fieldnames, fill, fill!, last, length, maximum, minimum, ones, parent, parentindexes, partitions, permutations, pointer, pointer_to_array, promote_shape, rand!, reshape, scale, similar, sum, sum_kbn, takebuf_array, transpose!, vec, zeros,User Contributed Notes
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