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Create a Numpy array filled with all ones

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  • Last Updated : 21 Feb, 2022
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In this article, we will learn how to create a Numpy array filled with all one, given the shape and type of array. 
We can use Numpy.ones() method to do this task. This method takes three parameters, discussed below – 
 

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.  

Code #1: 
 

Python3




# Python Program to create array with all ones
import numpy as geek
 
a = geek.ones(3, dtype = int)
print("Matrix a : \n", a)
 
b = geek.ones([3, 3], dtype = int)
print("\nMatrix b : \n", b)

Output: 
 

Matrix a : 
 [1 1 1]

Matrix b : 
 [[1 1 1]
 [1 1 1]
 [1 1 1]]

  
Code #2: 
 

Python3




# Python Program to create array with all ones
import numpy as geek
 
c = geek.ones([5, 3])
print("\nMatrix c : \n", c)
 
d = geek.ones([5, 2], dtype = float)
print("\nMatrix d : \n", d)

Output: 
 

Matrix c : 
 [[ 1.  1.  1.]
 [ 1.  1.  1.]
 [ 1.  1.  1.]
 [ 1.  1.  1.]
 [ 1.  1.  1.]]

Matrix d : 
 [[ 1.  1.]
 [ 1.  1.]
 [ 1.  1.]
 [ 1.  1.]
 [ 1.  1.]]

 

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