In [1]:

    

import numpy as np


    

In [2]:

    

l_1d = [0, 1, 2]


    

In [3]:

    

arr_1d = np.array(l_1d)

print(arr_1d)
print(arr_1d.dtype)


    

    




[0 1 2]
int64

In [4]:

    

arr_1d_f = np.array(l_1d, dtype=float)

print(arr_1d_f)
print(arr_1d_f.dtype)


    

    




[0. 1. 2.]
float64

In [5]:

    

l_2d = [[0, 1, 2], [3, 4, 5]]


    

In [6]:

    

arr_2d = np.array(l_2d)

print(arr_2d)


    

    




[[0 1 2]
 [3 4 5]]

In [7]:

    

l_2d_error = [[0, 1, 2], [3, 4]]


    

In [8]:

    

arr_2d_error = np.array(l_2d_error)

print(arr_2d_error)


    

    




[list([0, 1, 2]) list([3, 4])]

In [9]:

    

print(arr_2d_error.dtype)


    

    




object

In [10]:

    

print(arr_2d_error.shape)


    

    




(2,)

In [11]:

    

arr_1d = np.arange(3)

print(arr_1d)


    

    




[0 1 2]

In [12]:

    

l_1d = arr_1d.tolist()

print(l_1d)


    

    




[0, 1, 2]

In [13]:

    

arr_2d = np.arange(6).reshape((2, 3))

print(arr_2d)


    

    




[[0 1 2]
 [3 4 5]]

In [14]:

    

l_2d = arr_2d.tolist()

print(l_2d)


    

    




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

In [15]:

    

arr_3d = np.arange(24).reshape((2, 3, 4))

print(arr_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 [16]:

    

l_3d = arr_3d.tolist()

print(l_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 [17]:

    

print(l_3d[0])


    

    




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

In [18]:

    

print(l_3d[0][0])


    

    




[0, 1, 2, 3]

In [19]:

    

print(l_3d[0][0][0])


    

    




0