7.13 Reshaping and Transposing

We’ve used array method reshape to produce two-dimensional arrays from one-dimensional ranges. NumPy provides various other ways to reshape arrays.

reshape vs. resize

The array methods reshape and resize both enable you to change an array’s dimensions. Method reshape returns a view (shallow copy) of the original array with the new dimensions. It does not modify the original array:

In [1]: import numpy as np

In [2]: grades = np.array([[87, 96, 70], [100, 87, 90]])

In [3]: grades
Out[3]:
array([[ 87, 96, 70],
       [100, 87, 90]])

In [4]: grades.reshape(1, 6)
Out[4]: array([[ 87, 96, 70, 100, 87, 90]])

In [5]: grades
Out[5]:
array([[ 87, 96, 70],
       [100, 87, 90]])

Method resize modifies the original array’s shape:

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