numpy.empty() in Python (original) (raw)

Last Updated : 29 Nov, 2018

numpy.empty(shape, dtype = float, order = ‘C’) : Return a new array of given shape and type, with random values.
Parameters :

-> shape : Number of rows -> order : C_contiguous or F_contiguous -> dtype : [optional, float(by Default)] Data type of returned array.

import numpy as geek

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

print ( "Matrix b : \n" , b)

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

print ( "\nMatrix a : \n" , a)

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

print ( "\nMatrix c : \n" , c)

Output :

Matrix b : [ 0 1079574528]

Matrix a : [[0 0] [0 0]]

Matrix a : [[ 0. 0. 0.] [ 0. 0. 0.] [ 0. 0. 0.]]

Note : empty, unlike zeros, does not set the array values to zero, and may therefore be marginally faster.
Also, these codes won’t run on online-ID. Please run them on your systems to explore the working

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