numpy.empty (shape, dtype = float, order = & # 39; C & # 39;): return a new array of the given shape and type with random values. 
Parameters :

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

# Python Programming Illustrative # numpy.empty method   import numpy as geek   b = geek.empty ( 2 , dtype = int ) print ( " Matrix b: " , b)   a = geek.empty ([ 2 , 2 ], dtype = int ) print ( "Matrix a:" , a)   c = geek.empty ([ 3 , 3 ]) print ( "Matrix c:" , 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, not a mustache Sets the array values ​​to zero, and therefore may be slightly faster. 
Also, these codes will not work on an online ID. Please run them on your systems to see how they work