Convert 1d numpy ndarray into one hot encoding ndarray of shape (n,2)

Question

I have a 1d numpy ndarray with shape (1,2).

nd = array[1,0]

I want to convert it into a ndarray with shape (n,2) such that it will look something like this;

nd_new = [
            [1,0]
            [1,0]
            [1,0]
            ...
            ...
            [1,0]
         ]

There are n rows of [1,0].

Answer 1

You can use np.tile as follows:

>>> np.tile(nd, (n, 1))

Answer 2

I will answer my own question. Use the one hot encoding tools from keras.

from keras.utils import to_categorical
y_nd_ones = [1] * n
y_nd = to_categorical(y_nd_ones)