C5_W1_exercise2

[pongyuenlam]

I searched but could not find online documentation on how to slice a numpy array and cut down its dimension to do the following suggestion of exercise2. That is, get xt with shape (nx, m) from x with shape (nx, m, Tx). Any suggestion?

[gent.spah]

Here try to run and understand this piece of code:

code

import numpy as np

matrix = np.array([[1, 2, 3],
[4, 5, 6],
[7, 8, 9]])

Slicing rows

Get the first row

row_1 = matrix[0, :]
print(row_1)

Slicing columns

Get the second column

col_2 = matrix[:, 1]
print(col_2)

[pongyuenlam]

Thanks. I can solve it now.