.reshape()

The .reshape() function rearranges the data in an ndarray into a new shape. The new shape must be compatible with the old one, though an index of -1 can be used to infer one dimension.

numpy.reshape(array, newshape)

Where array is the array to be reshaped, and newshape can be an integer or a tuple representing the size of the new array. If a dimension is -1, that dimension will be inferred from the size of the original array.

If possible, the ndarray returned will be a view of the original ndarray‘s data.

The following example creates an ndarray then uses .reshape() to change its dimensions.

import numpy as np

nd1 = np.array([[1,2,3],[4,5,6]])

print(nd1)
print(np.reshape(nd1,(3,2)))
print(np.reshape(nd1,(-1,1)))

This produces the following output:

[[1 2 3]
 [4 5 6]]

[[1 2]
 [3 4]
 [5 6]]

[[1]
 [2]
 [3]
 [4]
 [5]
 [6]]