New interpolation util functionality #930
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sarah-hlsn
approved these changes
Aug 21, 2024
climada/util/interpolation.py
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| logx : bool, optional | ||
| If set to True, x_values are convert to log scale. Defaults to False. | ||
| logy : bool, optional | ||
| If set to True, x_values are convert to log scale. Defaults to False. |
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| If set to True, x_values are convert to log scale. Defaults to False. | |
| If set to True, y_values are convert to log scale. Defaults to False. |
climada/util/interpolation.py
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| define fit functionalities for (local) exceedance frequencies and return periods |
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Is this line supposed to be here? As it is now I don't find it very explanatory for an external user. It's a matter of taste I guess but maybe something around the lines of: "Define interpolation and extrapolation functions for calculating (local) exceedance frequencies and return periods."?
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agreed, I believe this was the description of the original PR, now it should be adapted as you say :)
climada/util/interpolation.py
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| if x_train.size < 2: | ||
| return _interpolate_small_input(x_test, x_train, y_train, None, y_asymptotic) | ||
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| # find indeces of x_test if sorted into x_train |
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| # find indeces of x_test if sorted into x_train | |
| # find indices of x_test if sorted into x_train |
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Changes proposed in this PR:
interpolate.pywith which data can be linearly interpolated (and extrapolated) using the functioninterpolate_evor interpolated with a stepfunction using the functionstepfunction_ev. Options include thresholds and log scales. Also, a util functiongroup_frequencyis added to group frequencies for constant intensitity or impact values. These util functions will later be used in the functionsImpact.local_exceedance_impact,Hazard.local_exceedance_intensity,Hazard.local_return_period, see PR Combining several interpolation functions using a new util function #918.This PR is the first part of PR #918 (splitted for length reasons) that will fix #904, #915 and partially also #209.
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