numpy.ones() in Python

Last Updated : 08 Mar, 2024

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 method 
  
import numpy as geek 
  
b = 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.]]

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.

numpy.ones_like() in Python

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