format_predictions

def inverse_transform(scaler, df, columns):
    for col in columns:
        df[col] = scaler.inverse_transform(df[col])
    return df


def format_predictions(predictions, values, df_test, scaler):
    vals = np.concatenate(values, axis=0).ravel()
    preds = np.concatenate(predictions, axis=0).ravel()
    df_result = pd.DataFrame(data={"value": vals, "prediction": preds}, index=df_test.head(len(vals)).index)
    df_result = df_result.sort_index()
    df_result = inverse_transform(scaler, df_result, [["value", "prediction"]])
    return df_result


df_result = format_predictions(predictions, values, X_test, scaler)