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numpy.ones () in Python

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numpy.ones (shape, dtype = None, order = & # 39; C & # 39;): return a new array of the given shape and type with ones. 
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 (byDeafult)] Data type of returned array. 

Returns :

 ndarray of ones having given shape, order and datatype. 

# Python program illustrating
# numpy.ones method

  

import numpy as geek

 

b = geek. ones ( 2 , dtype = int )

print ( "Matrix b:" , b)

 

a = geek.ones ([ 2 , 2 ], dtype = int )

print ( "Matrix a:" , a)

 

c = geek. ones ([ 3 , 3 ])

print ( "Matrix c:" , c)

Output:

 Matrix b: [1 1] Matrix a: [[1 1] [1 1]] Matrix c: [[ 1. 1. 1.] [1. 1. 1.] [1. 1. 1.]] 

Link:
https://docs.scipy.org/doc/numpy-dev/reference/generated/numpy.ones.html
  Unlike zeros and nulls, array values ​​are not set to zero or random values, respectively. Also, these codes will not work with online ID. Please run them on your systems to see how they work.

This article is courtesy of Mohit Gupta_OMG

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