Reshape¶

In [1]:
%pip install numpy
import numpy as np

Requirement already satisfied: numpy in /home/samrat/Documents/numpy-torch-tutorials/venv/lib/python3.8/site-packages (1.24.4)
Note: you may need to restart the kernel to use updated packages.
In [3]:
foo = np.arange(start=1, stop=9)
foo
Out[3]:
array([1, 2, 3, 4, 5, 6, 7, 8])
In [4]:
foo.reshape(2, 4)
Out[4]:
array([[1, 2, 3, 4],
       [5, 6, 7, 8]])
In [6]:
np.reshape(a=foo, newshape=(2,4))
Out[6]:
array([[1, 2, 3, 4],
       [5, 6, 7, 8]])
In [8]:
bar = foo.reshape(2,4)
bar
Out[8]:
array([[1, 2, 3, 4],
       [5, 6, 7, 8]])
In [11]:
bar.reshape((4,2), order='C')
Out[11]:
array([[1, 2],
       [3, 4],
       [5, 6],
       [7, 8]])
In [12]:
bar.reshape((4,2), order='F')
Out[12]:
array([[1, 3],
       [5, 7],
       [2, 4],
       [6, 8]])
In [13]:
bar.reshape((2,2,2), order='C')
Out[13]:
array([[[1, 2],
        [3, 4]],

       [[5, 6],
        [7, 8]]])
In [14]:
bar.reshape((2,2,2), order='F')
Out[14]:
array([[[1, 3],
        [2, 4]],

       [[5, 7],
        [6, 8]]])
In [19]:
bar.reshape(4,-1)
Out[19]:
array([[1, 2],
       [3, 4],
       [5, 6],
       [7, 8]])
In [22]:
print(bar)
bar.shape = (8, 1)
bar

[[1 2]
 [3 4]
 [5 6]
 [7 8]]
Out[22]:
array([[1],
       [2],
       [3],
       [4],
       [5],
       [6],
       [7],
       [8]])
In [23]:
bar.T
Out[23]:
array([[1, 2, 3, 4, 5, 6, 7, 8]])
In [24]:
np.transpose(bar)
Out[24]:
array([[1, 2, 3, 4, 5, 6, 7, 8]])