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.Python
# Python Programming illustrating
# numpy.empty method
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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