concrete_plotter

class pyrecodes.plotter.concrete_plotter.ConcretePlotter

Bases: object

Class that plots resilience assessment results in two formats:

1. The supply, demand, and consumption dynamics during recovery for a list of resources.

2. A Gantt chart that shows the recovery activities for each component in the system.

add_warmup(warmup: int, lists_to_extend: list[list]) → list[list]

assign_activity_lanes(component_recovery_progress: dict, mode: str) → tuple[dict, int]

Assign each activity to a vertical lane for rendering.

‘stack’ – all activities share one lane (original behaviour, overlapping activities overwrite each other) ‘separate’ – each activity gets its own lane regardless of overlap ‘parallel’ – greedy assignment: a new lane is only opened when activities actually overlap

collect_all_households(components: list) → list

get_component_recovery_progress(component: Component) → dict

get_household_location_counts(components: list) → dict

get_met_demand_over_time(components: list, resource_name: str) → list

get_supply_demand_consumption(system: System, resource_name: str, resilience_calculator_id=0) → list[list]

Method returns a list of lists containing the supply, demand, and consumption dynamics during recovery for a list of resources.

Default values are set for the resilience calculator id. It is assumed that the first resilience calculator in system.resilience_calculators list is a recodes calculator with scope=’All’. The user can specify a different resilience calculator id as long as it is a recodes calculator.

plot_component_gantt_bar(component_row: int, component: Component, axis_object: axis, mode: str = 'stack') → list

plot_gantt_chart(components: list[Component], x_axis_label='Time Step [day]', mode='stack') → None

plot_household_location_over_time(components: list, x_axis_label='Time step [day]') → None

plot_household_movement(components: list, axis_object: axis) → None

plot_met_demand_over_time(components: list, resource_name: str, x_axis_label='Time step [day]') → None

plot_single_household_movement(household, household_count: int, axis_object: axis, bar_width=0.5) → list

plot_single_resource(time_steps: list, supply: list, demand: list, consumption: list, axis_object: axis, warmup=0, show=False, supply_label='Supply', demand_label='Demand', consumption_label='Consumption', unmet_demand_label='Unmet Demand') → None

plot_supply_demand_dynamics(system: System, resources: list[str], units: list[str], resilience_calculator_id=0, x_axis_label='Time step [day]')

Method plots regional supply, demand, and consumption dynamics during recovery for a list of resources.

Default values are set for:

- the resilience calculator id. It is assumed that the first resilience calculator in system.resilience_calculators list is a recodes calculator with scope=’All’. The user can specify a different resilience calculator id as long as it is a recodes calculator.

- the x-axis label. It is assumed that the x-axis label is ‘Time step [day]’.

reorder_legend(order: list, ax=None, **legend_kwargs) → None

save_component_recovery_progress(components: list)

save_current_figure(savename='Figure.png', dpi=300) → None

save_supply_demand_consumption(system, resource_names: list, resilience_calculator_id=0)

set_gantt_chart_legend(recovery_activities_legend: list, axis_object: axis, legend_colors: dict | None = None) → None

setup_gantt_chart_fig(x_axis_label, num_components: int, mode: str) → axis

setup_lor_plot_fig(x_axis_label: str, y_axis_label: str) → axis