def median_temporal_distances(self, min_n_boardings=None, max_n_boardings=None):
        """
        Returns
        -------
        mean_temporal_distances: list
            list indices encode the number of vehicle legs each element
            in the list tells gets the mean temporal distance
        """
        if min_n_boardings is None:
            min_n_boardings = 0

        if max_n_boardings is None:
            max_n_boardings = self.max_trip_n_boardings()
            if max_n_boardings is None:
                max_n_boardings = 0

        median_temporal_distances = [float('inf') for _ in range(min_n_boardings, max_n_boardings + 1)]
        for n_boardings in range(min_n_boardings, max_n_boardings + 1):
            simple_analyzer = self.get_time_profile_analyzer(n_boardings)
            median_temporal_distances[n_boardings] = simple_analyzer.median_temporal_distance()
        return median_temporal_distances
def median_temporal_distances(self, min_n_boardings=None, max_n_boardings=None):
        """
        Returns
        -------
        mean_temporal_distances: list
            list indices encode the number of vehicle legs each element
            in the list tells gets the mean temporal distance
        """
        if min_n_boardings is None:
            min_n_boardings = 0

        if max_n_boardings is None:
            max_n_boardings = self.max_trip_n_boardings()
            if max_n_boardings is None:
                max_n_boardings = 0

        median_temporal_distances = [float('inf') for _ in range(min_n_boardings, max_n_boardings + 1)]
        for n_boardings in range(min_n_boardings, max_n_boardings + 1):
            simple_analyzer = self.get_time_profile_analyzer(n_boardings)
            median_temporal_distances[n_boardings] = simple_analyzer.median_temporal_distance()
        return median_temporal_distances
def median_temporal_distances ( self , min_n_boardings = None , max_n_boardings = None ) : if min_n_boardings is None : min_n_boardings = 0 if max_n_boardings is None : max_n_boardings = self . max_trip_n_boardings ( ) if max_n_boardings is None : max_n_boardings = 0 median_temporal_distances = [ float ( 'inf' ) for _ in range ( min_n_boardings , max_n_boardings + 1 ) ] for n_boardings in range ( min_n_boardings , max_n_boardings + 1 ) : simple_analyzer = self . get_time_profile_analyzer ( n_boardings ) median_temporal_distances [ n_boardings ] = simple_analyzer . median_temporal_distance ( ) return median_temporal_distances
Returns
        -------
        mean_temporal_distances: list
            list indices encode the number of vehicle legs each element
            in the list tells gets the mean temporal distance
Returns ------- mean_temporal_distances : list list indices encode the number of vehicle legs each element in the list tells gets the mean temporal distance