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)
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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
Last Updated :
29 Nov, 2018
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