Several Functions in numpy are constantly updated in python learning. numpypython

Several Functions in numpy are constantly updated in python learning. numpypython

Numpy. eye (N, M = None, k = 0, dtype = <type 'float'>)

Generate diagonal matrix columns N rows M write one representing the number of rows is equal to the number of columns k representing the offset positive number up offset, negative number down offset

For example, numpy. eye (3, k = 1, dtyle = int)

0 1 0

0 0 1

0 0 0

Numpy. shape ()

A is an array. The returned array size is the number of dimensions and the number of elements per dimension.

Numpy. shape ([1, 2])

(1, 2) 1 dimension, 2 elements per dimension

A = numpy. array ([(1, 2), (3, 4)])

Numpy. shape (a) is equivalent to a. shape.

(2,) one-dimensional two elements

A. shape [0] displays the array dimension.

A. shape [1] shows the number of elements in each dimension of the array.