`get_timeseries` no longer has archiveType

[khider]

To reproduce:

from pylipd.lipd import LiPD

        lipd = LiPD()        
        lipd.load(["https://lipdverse.org/data/LCf20b99dfe8d78840ca60dfb1f832b9ec/1_0_1//Nunalleq.Ledger.2018.lpd"])

        ts_list = lipd.get_timeseries(lipd.get_all_dataset_names())

        for dsname, tsos in ts_list.items():
            for tso in tsos:
                if 'paleoData_variableName' in tso:
                    print(dsname+': '+tso['paleoData_variableName']+': '+tso['archiveType'])

[varunratnakar]

The archiveType is only assigned to the dataset, and not to each variable in the new LiPD. The semantics here are confusing. Can you clarify if this needs to be transferred to each variable ? If so, is this only for the purpose of this function, or would you be expecting to do sparql queries over archiveType of each variable ?

[varunratnakar]

I've added it to the get_timeseries function, so each variable will have that information (though it wouldn't be stored at the variable level in the graph)

https://github.com/LinkedEarth/pylipd/commit/c64b04129ed60abb985abc45c8bae622a0e1b769

[khider]

Yes, I was about to say that I don't envision doing a SPARQL query on it but I could see a filtering on the data frame after the fact.