As Scalar Simple

import numpy as np

a = np.arange(12).reshape(2, 3, 2)

a

array([[[ 0,  1],
        [ 2,  3],
        [ 4,  5]],

       [[ 6,  7],
        [ 8,  9],
        [10, 11]]])

a.shape

(2, 3, 2)

b = np.asscalar(a)

---------------------------------------------------------------------------

ValueError                                Traceback (most recent call last)

<ipython-input-8-dfb51e49d46b> in <module>()
----> 1 b = np.asscalar(a)


~/anaconda3/envs/py36/lib/python3.6/site-packages/numpy/lib/type_check.py in asscalar(a)
    545     warnings.warn('np.asscalar(a) is deprecated since NumPy v1.16, use '
    546                   'a.item() instead', DeprecationWarning, stacklevel=1)
--> 547     return a.item()
    548 
    549 #-----------------------------------------------------------------------------


ValueError: can only convert an array of size 1 to a Python scalar

b = a.reshape(12)

c = np.asscalar(b)

---------------------------------------------------------------------------

ValueError                                Traceback (most recent call last)

<ipython-input-10-90c9546333c0> in <module>()
----> 1 c = np.asscalar(b)


~/anaconda3/envs/py36/lib/python3.6/site-packages/numpy/lib/type_check.py in asscalar(a)
    545     warnings.warn('np.asscalar(a) is deprecated since NumPy v1.16, use '
    546                   'a.item() instead', DeprecationWarning, stacklevel=1)
--> 547     return a.item()
    548 
    549 #-----------------------------------------------------------------------------


ValueError: can only convert an array of size 1 to a Python scalar

b.size

12

c = np.array([24])

c

array([24])

c.shape

(1,)

d = np.asscalar(c)

d

24

Headsup:

Asscalar is Deprecated since version 1.16: Deprecated, use numpy.ndarray.item() instead.