numpy.asanyarray() in Python

Syntax : numpy.asanyarray(arr, dtype=None, order=None) Parameters : arr : [array_like] Input data, in any form that can be converted to an array. This includes scalars, lists, lists of tuples, tuples, tuples of tuples, tuples of lists, and ndarrays. dtype : [data-type, optional] By default, the data-type is inferred from the input data. order : Whether to use row-major (C-style) or column-major (Fortran-style) memory representation. Defaults to ‘C’. Return : [ndarray or an ndarray subclass] Array interpretation of arr. If arr is ndarray or a subclass of ndarray, it is returned as-is and no copy is performed.

# Python program explaining
# numpy.asanyarray() function

import numpy as geek
my_list = [1, 3, 5, 7, 9]

print ("Input  list : ", my_list)
 
  
out_arr = geek.asanyarray(my_list)
print ("output array from input list : ", out_arr) 

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

# Python program explaining
# numpy.asanyarray() function

import numpy as geek

my_tuple = ([1, 3, 9], [8, 2, 6])
 
print ("Input  tuple : ", my_tuple)
  
out_arr = geek.asanyarray(my_tuple) 
print ("output array from input tuple : ", out_arr) 

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

# Python program explaining
# numpy.asanyarray() function

import numpy as geek

my_scalar = 12
 
print ("Input  scalar : ", my_scalar)
  
out_arr = geek.asanyarray(my_scalar) 
print ("output array from input scalar : ", out_arr) 
print(type(out_arr))

Input  scalar :  12
output array from input scalar :  12
class 'numpy.ndarray'

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Article Tags :

• Python
• Python-numpy
• Python numpy-arrayCreation

Practice Tags :

• python