numpy.asfarray () in Python

numpy.asfarray() is used when we want to convert input to a floating point array. Input includes scalars, lists, lists of tuples, tuples, tuples of tuples, tuples of lists, and ndarrays.

Syntax: numpy.asfarray (arr, dtype = type `numpy .float64 `)

Parameters:
arr: [array_like] Input data, in any form that can be converted to an float type array. This includes scalar, lists, lists of tuples, tuples, tuples of tuples, tuples of lists and ndarrays.
dtype: Float type code to coerce input array arr. If dtype is one of the `int` dtypes, it is replaced with float64.

Return: [ndarray] The input arr as a float ndarray.

Code # 1: list to float array

Output:

 Input list: [1, 3, 5, 7, 9] output float type array from input list: [1. 3. 5. 7. 9.] 

Code # 2: tuple for floating point array

# Python program explaining
# numpy.asfarray () function

 

import numpy as geek

my_list = [ 1 , 3 , 5 , 7 , 9 ]

  

print ( " Input list: " , my_list)

  

 

out_arr = geek.asfarray (my_list)

print ( "output float type array from input list:" , out_arr) 

# Python program explaining
# numpy.asfarray () function

  

import numpy as geek

 

my_tuple = ([ 1 , 3 , 9 ], [ 8 , 2 , 6 ])

 

print ( "Input touple:" , my_tuple)

 

out_arr = geek.asfarray (my_tuple, dtype = `int8`

print ( " output float type array from input touple: " , out_arr) 

Output:

 Input touple: ([1, 3, 9], [8, 2, 6]) output float type array from input touple: [[1. 3. 9.] [8. 2. 6.]] 

Code # 3: Scalar floating point array

# Python program explaining
# numpy.asfarray () function

 

import numpy as geek

 

my_scalar = 15

 

print ( "Input scalar:" , my_scalar)

  

out_arr = geek.asfarray (my_scalar, dtype = `float`

print ( "output float type array from input scalar:" , out_arr) 

Output:

 InInput scalar: 15 output float type array from input scalar: 15.0