In [1]:

    

import numpy as np


    

In [2]:

    

a_1d = np.arange(3)
print(a_1d)


    

    




[0 1 2]

In [3]:

    

a_2d = np.arange(12).reshape((3, 4))
print(a_2d)


    

    




[[ 0  1  2  3]
 [ 4  5  6  7]
 [ 8  9 10 11]]

In [4]:

    

a_3d = np.arange(24).reshape((2, 3, 4))
print(a_3d)


    

    




[[[ 0  1  2  3]
  [ 4  5  6  7]
  [ 8  9 10 11]]

 [[12 13 14 15]
  [16 17 18 19]
  [20 21 22 23]]]

In [5]:

    

print(a_1d.ndim)


    

    




1

In [6]:

    

print(type(a_1d.ndim))


    

    




<class 'int'>

In [7]:

    

print(a_2d.ndim)


    

    




2

In [8]:

    

print(a_3d.ndim)


    

    




3

In [9]:

    

print(a_1d.shape)


    

    




(3,)

In [10]:

    

print(type(a_1d.shape))


    

    




<class 'tuple'>

In [11]:

    

print(a_2d.shape)


    

    




(3, 4)

In [12]:

    

print(a_3d.shape)


    

    




(2, 3, 4)

In [13]:

    

print(a_2d.shape[0])


    

    




3

In [14]:

    

print(a_2d.shape[1])


    

    




4

In [15]:

    

row, col = a_2d.shape
print(row)


    

    




3

In [16]:

    

print(col)


    

    




4

In [17]:

    

print(a_1d.size)


    

    




3

In [18]:

    

print(type(a_1d.size))


    

    




<class 'int'>

In [19]:

    

print(a_2d.size)


    

    




12

In [20]:

    

print(a_3d.size)


    

    




24

In [21]:

    

print(len(a_1d))


    

    




3

In [22]:

    

print(a_1d.shape[0])


    

    




3

In [23]:

    

print(a_1d.size)


    

    




3

In [24]:

    

print(len(a_2d))


    

    




3

In [25]:

    

print(a_2d.shape[0])


    

    




3

In [26]:

    

print(len(a_3d))


    

    




2

In [27]:

    

print(a_3d.shape[0])


    

    




2