I manipulated the MNIST dataset for research, by adding a set of digits to each digit in the dataset.
Before manipulation:
In:
x_train.shape
Out:
(60000, 28, 28)
Expectated result after manipulation:
In:
x_train_new.shape
Out:
(60000, 11, 28, 28)
However I messed up and forgot to add x_train[i]
in each iteration. Therefore my shape is the following:
In:
x_train_new.shape
Out:
(60000, 10, 28, 28)
I have tried to apply np.insert
, however I am struggling to apply it correctly since it is a multidimensional array:
tryout = x_train_new[0]
In:
np.insert(tryout, 0, x_train[0])
Out:
ValueError: could not broadcast input array from shape (28,28) into shape (28)
How can I insert x_train[i]
to each ``ì```? Is it possible to insert the array as the first value in each array?
Any help is appreciated. Thank you very much.
Just create an empty array
x_train_expected = np.empty((60000, 11, 28, 28))
and do
x_train_expected[:,1:] = x_train_new
x_train_expected[:,0] = x_train
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