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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def _get_minute_window_data(self, assets, field, minutes_for_window):
 """ Internal method that gets a window of adjusted minute data for an asset and specified date range. Used to support the history API method for minute bars. Missing bars are filled with NaN. Parameters assets : iterable[Asset] The assets whose data is desired. field: string The specific field to return. "open", "high", "close_price", etc. minutes_for_window: pd.DateTimeIndex The list of minutes representing the desired window. Each minute is a pd.Timestamp. Returns ------- A numpy array with requested values. """

        return self._minute_history_loader.history(assets,
                                                   minutes_for_window,
                                                   field,
                                                   False)