Ooh, thank you — investigating now. Have you tried this in general with Python and JS? CC: @kopshtik @talyarkoni
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Replying to @o_guest @talyarkoni
Yes, I made a few climate related packages: https://github.com/openclimatedata?utf8=%E2%9C%93&q=data-package&type=&language= … and use the "cleaned" CSVs for data visualisations ...
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I like it as a framework for regularly updated data, cleaning/download in `scripts`, Makefile to only need `make`:https://github.com/openclimatedata/paris-agreement-entry-into-force …
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Your use-case is probably like assigning `unit` to one column: https://github.com/openclimatedata/global-carbon-budget/blob/master/datapackage.json#L59 … - you can of course define arbitrary extensions ...
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Replying to @openclimatedata
I wonder if geopandas will actually open these files though?
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Replying to @o_guest
Not by default maybe, but should be possible to build something like (or extend) the data_package_reader to load GeoJSON with GeoPandas ...
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Replying to @openclimatedata @o_guest
btw. currently working on possible replacement for an aging Matlab homegrown database to replace with DataFrames, lots of tabs open with ...
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Replying to @openclimatedata @o_guest
discussions on how to attach metadata to DataFrames ... unfortunately no clear solution yet, but GeoDataFrames seem to be a good example.
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Replying to @o_guest
Yep, telling my colleagues about the advantages of Python for a while, now we are slowly getting there - thanks for your article!
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