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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_history_minute_window(self, assets, end_dt, bar_count, field_to_use):
 """ Internal method that returns a dataframe containing history bars of minute frequency for the given sids. """

        # get all the minutes for this window
        try:
            minutes_for_window = self.trading_calendar.minutes_window(
                end_dt, -bar_count
            )
        except KeyError:
            self._handle_minute_history_out_of_bounds(bar_count)

        if minutes_for_window[0] < self._first_trading_minute:
            self._handle_minute_history_out_of_bounds(bar_count)

        asset_minute_data = self._get_minute_window_data(
            assets,
            field_to_use,
            minutes_for_window,
        )

        return pd.DataFrame(
            asset_minute_data,
            index=minutes_for_window,
            columns=assets
        )