ValueError                                Traceback (most recent call last)
~\AppData\Local\Temp/ipykernel_11092/4166757493.py in <module>
      1 from sklearn import preprocessing
      2
----> 3 scaler = preprocessing.StandardScaler().fit(SXtrain)
      4
      5 """Scale the smaller training set"""

~\anaconda3\lib\site-packages\sklearn\preprocessing\_data.py in fit(self, X, y, sample_weight)
    728         # Reset internal state before fitting
    729         self._reset()
--> 730         return self.partial_fit(X, y, sample_weight)
    731
    732     def partial_fit(self, X, y=None, sample_weight=None):

~\anaconda3\lib\site-packages\sklearn\preprocessing\_data.py in partial_fit(self, X, y, sample_weight)
    764         """
    765         first_call = not hasattr(self, "n_samples_seen_")
--> 766         X = self._validate_data(X, accept_sparse=('csr', 'csc'),
    767                                 estimator=self, dtype=FLOAT_DTYPES,
    768                                 force_all_finite='allow-nan', reset=first_call)

~\anaconda3\lib\site-packages\sklearn\base.py in _validate_data(self, X, y, reset, validate_separately, **check_params)
    419             out = X
    420         elif isinstance(y, str) and y == 'no_validation':
--> 421             X = check_array(X, **check_params)
    422             out = X
    423         else:

~\anaconda3\lib\site-packages\sklearn\utils\validation.py in inner_f(*args, **kwargs)
     61             extra_args = len(args) - len(all_args)
     62             if extra_args <= 0:
---> 63                 return f(*args, **kwargs)
     64
     65             # extra_args > 0

~\anaconda3\lib\site-packages\sklearn\utils\validation.py in check_array(array, accept_sparse, accept_large_sparse, dtype, order, copy, force_all_finite, ensure_2d, allow_nd, ensure_min_samples, ensure_min_features, estimator)
    692             # If input is 1D raise error
    693             if array.ndim == 1:
--> 694                 raise ValueError(
    695                     "Expected 2D array, got 1D array instead:\narray={}.\n"
    696                     "Reshape your data either using array.reshape(-1, 1) if "

ValueError: Expected 2D array, got 1D array instead:
array=[8.21304911e-01 1.44999358e-37 8.76388929e-01].
Reshape your data either using array.reshape(-1, 1) if your data has a single feature or array.reshape(1, -1) if it contains a single sample.