(self)
this code creates the debugging plots to understand
        the behavior of the hypothetical building model
this code creates the debugging plots to understand
        the behavior of the hypothetical building model
this code creates the debugging plots to understand the behavior of the hypothetical building model
def _debug_output(self):
        """
        this code creates the debugging plots to understand
        the behavior of the hypothetical building model

        """
        import matplotlib
        matplotlib.use('Agg')
        import matplotlib.pyplot as plt
        c = self.config

        df_d = self.dev_d
        keys = df_d.keys()
        keys = sorted(keys)
        for key in keys:
            logger.debug("\n" + str(key) + "\n")
            logger.debug(df_d[key])
        for form in self.config.forms:
            logger.debug("\n" + str(key) + "\n")
            logger.debug(self.get_ave_cost_sqft(form, "surface"))

        keys = c.forms.keys()
        keys = sorted(keys)
        cnt = 1
        share = None
        fig = plt.figure(figsize=(12, 3 * len(keys)))
        fig.suptitle('Profitable rents by use', fontsize=40)
        for name in keys:
            sumdf = None
            for parking_config in c.parking_configs:
                df = df_d[(name, parking_config)]
                if sumdf is None:
                    sumdf = pd.DataFrame(df['far'])
                sumdf[parking_config] = df['ave_cost_sqft']
            far = sumdf['far']
            del sumdf['far']

            if share is None:
                share = plt.subplot(len(keys) / 2, 2, cnt)
            else:
                plt.subplot(len(keys) / 2, 2, cnt, sharex=share, sharey=share)

            handles = plt.plot(far, sumdf)
            plt.ylabel('even_rent')
            plt.xlabel('FAR')
            plt.title('Rents for use type %s' % name)
            plt.legend(
                handles, c.parking_configs, loc='lower right',
                title='Parking type')
            cnt += 1
        plt.savefig('even_rents.png', bbox_inches=0)
def _debug_output ( self ) : import matplotlib matplotlib . use ( 'Agg' ) import matplotlib . pyplot as plt c = self . config df_d = self . dev_d keys = df_d . keys ( ) keys = sorted ( keys ) for key in keys : logger . debug ( "\n" + str ( key ) + "\n" ) logger . debug ( df_d [ key ] ) for form in self . config . forms : logger . debug ( "\n" + str ( key ) + "\n" ) logger . debug ( self . get_ave_cost_sqft ( form , "surface" ) ) keys = c . forms . keys ( ) keys = sorted ( keys ) cnt = 1 share = None fig = plt . figure ( figsize = ( 12 , 3 * len ( keys ) ) ) fig . suptitle ( 'Profitable rents by use' , fontsize = 40 ) for name in keys : sumdf = None for parking_config in c . parking_configs : df = df_d [ ( name , parking_config ) ] if sumdf is None : sumdf = pd . DataFrame ( df [ 'far' ] ) sumdf [ parking_config ] = df [ 'ave_cost_sqft' ] far = sumdf [ 'far' ] del sumdf [ 'far' ] if share is None : share = plt . subplot ( len ( keys ) / 2 , 2 , cnt ) else : plt . subplot ( len ( keys ) / 2 , 2 , cnt , sharex = share , sharey = share ) handles = plt . plot ( far , sumdf ) plt . ylabel ( 'even_rent' ) plt . xlabel ( 'FAR' ) plt . title ( 'Rents for use type %s' % name ) plt . legend ( handles , c . parking_configs , loc = 'lower right' , title = 'Parking type' ) cnt += 1 plt . savefig ( 'even_rents.png' , bbox_inches = 0 )