How do i concatenate a numpy array into a list position with an empty np.array. I tried something like this, but for some reason i can't index the list like this..

I tried this...

Example:

import numpy as np

nano_train_input = []

for i in range(974):

nano_train_input.append(np.random.random((78,72,3)))

input_train = [np.empty((0,78,3)) for i in range(72)]

#print nano_train_input.shape

for train in nano_train_input:

for (index,row) in zip(input_train,train.reshape(72,78,3)):

index = np.concatenate(index,[row]) # Error here

but this gives me this error message:

test_min.pyTraceback (most recent call last):

File "test_min.py", line 12, in <module>

index = np.concatenate(index,[row])

TypeError: 'list' object cannot be interpreted as an index

What my desired output:

The desired output (input_train) is a list with 72 numpy.ndarraysin which, each row from each numpy.ndarray in the list of numpy.ndarrays (nano_train_input) is concatenated.

So example: input_train[0] would be a numpy.ndarray with dimension (974,78,3). it should contain all first rows of the numpy.ndarrays stored in nano_train_input