(self, use_mix, stories)
return costs.flatten()
Generate building cost for a set of buildings

        Parameters
        ----------
        use_mix : array
            The mix of uses for this form
        stories : series
            A Pandas Series of stories

        Returns
        -------
        array
            The cost per sqft for this unit mix and height.
Generate building cost for a set of buildings
Generate building cost for a set of buildings
def _building_cost(self, use_mix, stories):
        """
        Generate building cost for a set of buildings

        Parameters
        ----------
        use_mix : array
            The mix of uses for this form
        stories : series
            A Pandas Series of stories

        Returns
        -------
        array
            The cost per sqft for this unit mix and height.

        """
        c = self.config
        # stories to heights
        heights = stories * c.height_per_story
        # cost index for this height
        costs = np.searchsorted(c.heights_for_costs, heights)
        # this will get set to nan later
        costs[np.isnan(heights)] = 0
        # compute cost with matrix multiply
        costs = np.dot(np.squeeze(c.costs[costs.astype('int32')]), use_mix)
        # some heights aren't allowed - cost should be nan
        costs[np.isnan(stories).flatten()] = np.nan
        return costs.flatten()
def _building_cost ( self , use_mix , stories ) : c = self . config # stories to heights heights = stories * c . height_per_story # cost index for this height costs = np . searchsorted ( c . heights_for_costs , heights ) # this will get set to nan later costs [ np . isnan ( heights ) ] = 0 # compute cost with matrix multiply costs = np . dot ( np . squeeze ( c . costs [ costs . astype ( 'int32' ) ] ) , use_mix ) # some heights aren't allowed - cost should be nan costs [ np . isnan ( stories ) . flatten ( ) ] = np . nan return costs . flatten ( )