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Explain numpy.empty() in Python

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numpy.empty() in Python

The empty() method of Python numpy class returns a new array of the specified shape and type, without initializing the entries.

Syntax

numpy.empty(shape, dtype=float, order='C')

Parameters

The numpy.empty method consists of three parameters, which are as follows:

shape : This parameter represents the number of rows

order : The order parameter can be either C_contiguous or F_contiguous.

dtype : It is an optional parameter. It depicts the data type of returned array, and by default, it is a float.

Return Value

This method returns a new array of given shape and type by taking random values.

Example 1

# Python Programming giving an example for

# numpy.empty method

import numpy as numpy

val1 = numpy.empty(2, dtype = int)

print("Matrix  : \n", val1)

val2 = numpy.empty([2, 2], dtype = int)

print("\nMatrix : \n", val2)

val3 = numpy.empty([3, 3])

print("\nMatrix : \n", val3)

Output

Matrix :

[139996246714312        25427984]

Matrix :

[[       21723728 139996211415920]

[139996230611832               0]]

Matrix :

[[  0.00000000e+000   4.99262426e-317   4.99256102e-317]

[  4.99294046e-317   4.99294046e-317   4.99287722e-317]

[  4.99430013e-317   4.99287722e-317   3.95252517e-322]]

Example 2

# Python Programming giving an example for

# numpy.empty method

import numpy as np

#passing dtype as int

val1 = np.empty([2, 2], dtype=int)

print("Matrix : \n", val1)

Output

Matrix :

[[       11263440 140251552682112]

[              0 140251553341032]]

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