numpy.empty(shape, dtype = float, order = āCā) : 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 Programming illustrating# numpy.empty methodĀ Ā import numpy as geekĀ Ā b = geek.empty(2, dtype = int)print("Matrix b : \n", b)Ā Ā a = geek.empty([2, 2], dtype = int)print("\nMatrix a : \n", a)Ā Ā 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 wonāt run on online-ID. Please run them on your systems to explore the working
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