'how to reshape 3D to 2D with a big number?

hello i'm trying to reshape an array with shape (70,65536,18) to an array in 2D with shape (4587520,18) but i the result its a 3D array whit the same shape here its the code

img=imagenesTrain[0]
filters= scipy.io.loadmat(os.path.join('data_mp3','filterbank.mat'))['filterbank']
def calculate_filter_response_201822381_201821543(imagen,filters):
    imggray=color.rgb2gray(imagen)
    lista=[]

    for i in range(len(filters[0,0])):
        lista.append(scipy.signal.correlate(imggray,filters[:,:,i],mode='same',method='auto'))
    lineal=np.array(lista)
    lineal=lineal.reshape(256*256,18)
    return lineal
imggray=calculate_filter_response_201822381_201821543(img,filters)

respuesta=[]
for i in imagenesTrain:
    respuesta.append(calculate_filter_response_201822381_201821543(i,filters))

respuesta=np.array(respuesta)
respuesta.reshape(4587520,18)

python reshape

Solution 1:^[1]

You need to reassign the array, otherwise nothing happens. Reshape doesn't work in-place:

respueste = respueste.reshape(4587520, 18)

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Solution	Source
Solution 1	LukasNeugebauer

'how to reshape 3D to 2D with a big number?

Solution 1:[1]

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Related Questions

Solution 1:^[1]