The numpy.ones() function returns a new array of given shape and type, with ones.
Syntax: numpy.ones(shape, dtype = None, order = 'C')
Parameters :
shape : integer or sequence of integers
order : C_contiguous or F_contiguous
C-contiguous order in memory(last index varies the fastest)
C order means that operating row-rise on the array will be slightly quicker
FORTRAN-contiguous order in memory (first index varies the fastest).
F order means that column-wise operations will be faster.
dtype : [optional, float(byDefault)] Data type of returned array.
Returns :
ndarray of ones having given shape, order and datatype.
Python
# Python Program illustrating# numpy.ones methodimport numpy as geekb = geek.ones(2, dtype = int)print("Matrix b : \n", b)a = geek.ones([2, 2], dtype = int)print("\nMatrix a : \n", a)c = geek.ones([3, 3])print("\nMatrix c : \n", c) |
Output :
Matrix b : [1 1] Matrix a : [[1 1] [1 1]] Matrix c : [[ 1. 1. 1.] [ 1. 1. 1.] [ 1. 1. 1.]]
Reference :
https://docs.scipy.org/doc/numpy-dev/reference/generated/numpy.ones.html
Note : Ones, unlike zeros and empty, does not set the array values to zero or random values respectively.Also, these codes won’t run on online-ID. Please run them on your systems to explore the working.
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