Question

What will the output of np.arange(1,16,2).reshape(4, 2) be?​

Answer 1

Answer:

a = np.zeros((10, 2))

# A transpose makes the array non-contiguous

>>> b = a.T

# Taking a view makes it possible to modify the shape without modifying

# the initial object.

>>> c = b.view()

>>> c.shape = (20)

Traceback (most recent call last):

...

AttributeError: Incompatible shape for in-place modification. Use

`.reshape()` to make a copy