I am working on adding uncertainty to some of my dynamics within a larger Monte Carlo simulation. As a way to perform multiple operations on each value, I decided to make and use a new function to pull from multiple libraries.

Before, I was using something like the following to get the data from the dictionary:

aircraft = 'C172'
dynamicmodel = getattr(ModelLibrary, re.sub(r'[0-9]','',aircraft))
CL0 = dynamicmodel["SCD"]["CL0"]

Now, I am wanting to add a function to this call so that ["SCD"]["CL0"] is the input to the function for example. However, I can't find a way to use this string to slice the dictionary for the correct value.

I have tried using something like the following for the function without success:

aircraft = 'C172'
uncertainty = 'Study1'

dynamicmodel = getattr(ModelLibrary, re.sub(r'[0-9]','',aircraft))
uncertainlibrary = getattr(modeluncertaintylibrary, uncertainty)

value = '["SCD"]["CL0"]'

def generate_val(dynamicmodel, uncertaintylibrary, value):
    CL0 = dynamicmodel + value
    uncertainty_CL0 = uncertaintylibrary + value
    new_CL0 = np.random.uniform((1-uncertainty_CL0)*CL0, (1+uncertainty_CL0)*CL0)
    return new_CL0

However, the data types do not agree and changing the data type does not help, so I am thinking there is probably some work around that I don't know about.

posted 10 months ago

CC BY-SA 4.0

10mo ago

megalomaniac‭

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