I have two numpy arrays (letters from the EMNIST dataset):
import scipy .io
emnist = scipy.io.loadmat(DATA_DIR + '/emnist-letters.mat')
data = emnist ['dataset']
X_train = data ['train'][0, 0]['images'][0, 0]
y_train = data ['train'][0, 0]['labels'][0, 0]
With the following dimensions:
X_train.shape
= (124800, 784)
y_train.shape
= (124800, 1)
Now, I want to concatenate the two, so that the new shape would be: (124800, 785).
Based on this link, I tried:
np.concatenate((X_train.shape, y_train.shape), axis = 0)
However, that results in the following shape: array([124800, 784, 124800, 1]).
How can I 'paste' y_train
behind X_train
so that the shape will be (124800, 785)?
If you concatenate two arrays, you have to concatenate the data inside the arrays, not the shape. Furthermore you want to concatenate on the second ("short") axis, which is axis=1
:
np.concatenate((X_train, y_train), axis=1)