FragilityCurve
module wntr.scenario.fragility_curve
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class FragilityCurve[source]
Bases: object
Fragility Curve class.
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__init__()[source]
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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
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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 – Probability of exceeding a damage state
- Return type:
pd.Dataframe
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get_priority_map()[source]
Returns a dictonary of state name and priority number.
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sample_damage_state(Pr, seed=None)[source]
Sample the damage state using a uniform random variable
- Parameters:
-
- Returns:
damage_state – The damage state of each element
- Return type:
pd.Series
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states()[source]
A generator to iterate over all states, in order of priority
- Return type:
state_name, state
