wntr.scenario.fragility_curve module¶

The wntr.scenario.fragility_curve module includes methods to define damage states and priority and return the probability of damage based on a control variable.

class wntr.scenario.fragility_curve.FragilityCurve[source]¶

Bases: object

Fragility Curve class.

add_state(name, priority=0, distribution={})[source]¶

Add a damage state distribution

Parameters

name (string) – Name of the damage state
priority (int) – Damage state priority
distribution (dict, key = string, value = scipy.stats statistical function) – ‘Default’ can be used to specificy all location

states()[source]¶

A generator to iterate over all states, in order of priority

Returns: state_name, state

get_priority_map()[source]¶: Returns a dictonary of state name and priority number.

cdf_probability(x)[source]¶

Return the CDF probability for each state, based on the value of x

Parameters: x (pd.Series) – Control variable for each element
Returns: Pr (pd.Dataframe) – Probability of exceeding a damage state

sample_damage_state(Pr)[source]¶

Sample the damage state using a uniform random variable

Parameters: Pr (pd.Dataframe) – Probability of exceeding a damage state
Returns: damage_state (pd.Series) – The damage state of each element