PathClass¶

class passengersim.core.PathClass¶

Bases: object

PathClass objects

Methods

`__init__`(args, *kwargs)
`add_fare`	Add a Fare to the PathClass
`current_tf_adjusted_fare_price`
`current_tf_raw_adjusted_fare_price`
`get_index`	Get the VN index for this PathClass, (leg_number)
`initialize_q_forecast`	Initialize the Q-Forecast for this PathClass
`set_index`	Set the VN index for this PathClass, (leg_number, vn_index

Attributes

`adjusted_at`	Last forecast adjustment
`adjusted_marginal_revenue`
`booking_class`	Booking class for this PathClass, arbitrary string
`cabin_code`	Cabin Code for this PathClass, arbitrary string
`decision_fare`
`fare`
`fare_price`
`fcst_mean`	Forecst mean until departure
`fcst_std_dev`	Standard deviation until departure
`forecast`
`forecast_multiplier`	Multiplier applied to all forecasts on this path-class.
`gt_revenue`	Grand Total revenue, excluding the burn samples
`gt_revenue_by_segment`	Grand total revenue by passenger segment, excluding the burn samples
`gt_sold`	Grand Total sold, excluding the burn samples
`gt_sold_by_segment`	Grand total sold by passenger segment, excluding the burn samples
`gt_sold_priceable`	Grand Total sold priceable, excluding the burn samples
`history`
`identifier`
`num_objects`	Number of objects allocated, was used for memory leak detection
`path_id`	Unique integer ID for the Path.
`q_forecast`
`raw_adjusted_marginal_revenue`
`revenue_alpha`
`sold`	Number sold, is reset after each sample
`sold_priceable`	Number sold priceable, is reset after each sample.
`y_forecast`

forecast_multiplier¶: Multiplier applied to all forecasts on this path-class.

gt_revenue_by_segment¶: Grand total revenue by passenger segment, excluding the burn samples

gt_sold_by_segment¶: Grand total sold by passenger segment, excluding the burn samples

num_objects¶: Number of objects allocated, was used for memory leak detection

path_id¶: Unique integer ID for the Path. Can be set by the user, or will be created by the connection generator

sold_priceable¶: Number sold priceable, is reset after each sample. Priceable means that the lowest priced Offer was chosen