Python fit_transform return only zeros

Question

I'm trying to fit_transform an Numpy array, but when run fit_transfort() , it will fill only zero values.

data = [[3],[9],[3],[12],[3],[8],[8],[13],[12],[2],[0],['42'],['58'],[12],[12],[6],[3],[6],[4],[7],[10]];

data=np.array(data).reshape(1, -1)
scaler = MinMaxScaler()

data_fit = scaler.fit_transform(data) 

pred_prova=ll.predict(data_fit)

X_test_std[0] # <---- it is right and return from X_train_std = ss.fit_transform(X_train)

array([-0.23130257, 0.19945477, -0.49045489, -2.40903789, 0.62833204, ........

data_fit

array([[0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.]])

Answer 1

You don't need to reshape the data before fit_transform , do it afterwards

data = [[3],[9],[3],[12],[3],[8],[8],[13],[12],[2],[0],['42'],['58'],[12],[12],[6],[3],[6],[4],[7],[10]]

data=np.array(data)
scaler = MinMaxScaler()

data_fit = scaler.fit_transform(data)

pred_prova=ll.predict(data_fit)

X_test_std[0] # <---- it is right and return from X_train_std = ss.fit_transform(X_train)