def inverse_transform(self, X):
        check_is_fitted(self, 'scale_')

        X = check_array(X, copy=self.copy, ensure_2d=False, dtype=FLOAT_DTYPES)
        if X.ndim == 1:
            warnings.warn(DEPRECATION_MSG_1D, DeprecationWarning)

        X -= self.min_
        X /= self.scale_
        return X
Undo the scaling of X according to feature_range.
dataset/ETHPy150Open scikit-learn/scikit-learn/sklearn/preprocessing/data.py/MinMaxScaler.inverse_transform