Accessing and changing the shape
The number of dimensions is what distinguishes a vector from a matrix. The shape is what distinguishes vectors of different sizes, or matrices of different sizes. In this section, we examine how to obtain and change the shape of an array.
The shape function
The shape of a matrix is the tuple of its dimensions. The shape of an n × m matrix is the tuple
(n, m). It can be obtained by the
M = identity(3) shape(M) # (3, 3)
For a vector, the shape is a singleton containing the length of that vector:
v = array([1., 2., 1., 4.]) shape(v) # (4,) <- singleton (1-tuple)
An alternative is to use the array attribute
shape, which gives the same result:
M = array([[1.,2.]]) shape(M) # (1,2) M.shape # (1,2)
However, the ...