numpy.all() in Python

numpy.empty() in Python

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

numpy.all() in Python

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Mohit Gupta_OMG

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