add input to numpy 3d array

Question

I have a pandas DataFrame that i transform to numpy array like this

  training_set = dataset_train.iloc[:, 1:2].values

  X_train = []
  for i in range(60, 1258):
      X_train.append(training_set[i-60:i, 0])
      y_train.append(training_set[i, 0])

  X1_train = np.array(X1_train)

X1_train.shape = (1198, 60)

after a create a 3d array

X1_train = np.reshape(X1_train, (X1_train.shape[0], X1_train.shape[1] , 1))

X2_train.shape = (1198,0)

now when a try to add a new input x2_train.shape[0], x2_train.shape[1] in my array and I am blocked

I tried several things like this

X1_train = np.reshape(X1_train, ([X1_train.shape[0], X1_train.shape[1], X2_train.shape[0], X2_train.shape[1]] , 1))

X1_train = np.reshape(X1_train, (X2_train.shape[0], X2_train.shape[1] , 1))

i have this error when a run my code

File "/anaconda3/lib/python3.6/site-packages/numpy/core/fromnumeric.py", line 257, in reshape
    return _wrapfunc(a, 'reshape', newshape, order=order)

  File "/anaconda3/lib/python3.6/site-packages/numpy/core/fromnumeric.py", line 62, in _wrapfunc
    return _wrapit(obj, method, *args, **kwds)

  File "/anaconda3/lib/python3.6/site-packages/numpy/core/fromnumeric.py", line 42, in _wrapit
    result = getattr(asarray(obj), method)(*args, **kwds)

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

and the numpy doc is not very clear

X1_train = np.reshape(X1_train, ([X1_train.shape[0], X1_train.shape[1], X2_train.shape[0], X2_train.shape[1]] , 1)) X1_train = np.reshape(X1_train, (X2_train.shape[0], X2_train.shape[1] , 1)) X1_train = np.reshape(X1_train, ([X1_train.shape[0], [X2_train.shape[0], [X1_train.shape[1] , [X2_train.shape[1] , 1)) — john
– john, Commented Mar 10, 2018 at 17:55
What are the errors that you get? And what is the shape of X2_train? — J...S
– J...S, Commented Mar 10, 2018 at 18:20
X2_train.shape is the same of X1_train and my error is ` File "/anaconda3/lib/python3.6/site-packages/numpy/core/fromnumeric.py", line 257, in reshape return _wrapfunc(a, 'reshape', newshape, order=order) File "/anaconda3/lib/python3.6/site-packages/numpy/core/fromnumeric.py", line 62, in _wrapfunc return _wrapit(obj, method, *args, **kwds) File "/anaconda3/lib/python3.6/site-packages/numpy/core/fromnumeric.py", line 42, in _wrapit result = getattr(asarray(obj), method)(*args, **kwds) TypeError: 'list' object cannot be interpreted as an integer ` — john
– john, Commented Mar 10, 2018 at 18:32

user9609399 · Accepted Answer · 2018-04-06 20:00:03Z

1

your response is good but you are not forgetting to reshape your array

you can remove this

  X1_train = np.reshape(X1_train, (X1_train.shape[0], X1_train.shape[1] , 1))

 X2_train = np.reshape(X2_train, (X2_train.shape[0], X2_train.shape[1] , 1))


new_train  = np.dstack((X1_train, X2_train))

and just write your code like this

new_train  = np.dstack((X1_train, X2_train))

answered Apr 6, 2018 at 20:00

user9609399

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john · Accepted Answer · 2018-03-10 19:06:27Z

0

The answer is replace the line

X1_train = np.reshape(X1_train, (X1_train.shape[0], X1_train.shape[1] , 1))

and replace by

X1_train = np.reshape(X1_train, (X1_train.shape[0], X1_train.shape[1] , 1))

 X2_train = np.reshape(X2_train, (X2_train.shape[0], X2_train.shape[1] , 1))


new_train  = np.dstack((X1_train, X2_train))

this a the 2 dimension to 3d array

new_train.shape = (1198, 60, 2)

edited Mar 10, 2018 at 19:06

answered Mar 10, 2018 at 18:43

john

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