If I call this function on my dataset:

def reconstruct_flight(data, sequence_lenght, flight_len, param_len):
    
    stack_factor = int(flight_len/sequence_lenght)
    
    data_reconstructed = []
    for i in range(0, len(data_clean), stack_factor):
        if i<len(data_clean):
            data_reconstructed.append(
                data[i:i stack_factor].reshape(
                    [flight_len, param_len])
                )
        
    return np.array(data_reconstructed)

I get the following error:

ValueError: cannot reshape array of size 0 into shape (1500,77)

But if I run the for loop in the console without passing it as a function:

data_reconstructed = []
    for i in range(0, len(data_clean), stack_factor):
        if i<len(data_clean):
            data_reconstructed.append(
                data[i:i stack_factor].reshape(
                    [flight_len, param_len])
                )

It works as expected. Why is that ?

CodePudding user response：

When reshaping, if you are keeping the same data contiguity and just reshaping the box, you can reshape your data with

data_reconstructed = data_clean.reshape((10,1500,77))

if you are changing the contiguity from one axis to another, you will need to add a permutation of the axes beforehand https://numpy.org/doc/stable/reference/generated/numpy.transpose.html