numpy.asfarray() in Python

numpy.asfarray() in Python

Last Updated : 16 Nov, 2021

numpy.asfarray()function is used when we want to convert input to a float type array. Input includes scalar, 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 type array

Python

# 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)

Output :

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

Code #2 : Tuple to float type array

Python

# Python program explaining
# numpy.asfarray() function

import numpy as geek

my_tuple = ([1, 3, 9], [8, 2, 6])
 
print ("Input  tuple : ", my_tuple)
  
out_arr = geek.asfarray(my_tuple, dtype ='int8') 
print ("output float type array from input tuple : ", out_arr)

Output :

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

Code #3 : Scalar to float type array

Python

# 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

numpy.asfarray() in Python

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