Getting a vector of development ages

[SleepyBob]

my_tri.latest_diagonal will return the diagonal with the origin year as the index:
_____ 2024
2020 20000
2021 15000
2022 10000
2023 5000
2024 1000

How can I also get the corresponding development ages? e.g.
_____ Development 2024
2020 56 20000
2021 44 15000
2022 32 10000
2023 20 5000
2024 8 1000

[kennethshsu]

Hi @SleepyBob,

I don't know that this feature is supported currently. @jbogaardt?

However, the ages can be quickly calculated as a workaround.

import pandas as pd
import chainladder as cl

xyz = cl.load_sample("xyz")
(xyz["Incurred"].latest_diagonal.valuation.year - xyz["Incurred"].origin.year) * 12 + 12

Index([132, 120, 108, 96, 84, 72, 60, 48, 36, 24, 12], dtype='int64')

Does this help?

[SleepyBob]

Thanks, I think I can use that as a workaround (though I think I have to pull the month from the valuation date instead of assuming 12). This does seem like a fundamental piece of data, though.

[kennethshsu]

Yes and yes!