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Any pointers ?

The only way I can think would be a rather convoluted conversion to dataframe process, which would be a pain to convert back.



It has a python reader; then you pivot, aggregate, whatever within pandas semantics (series, dataframes, panels), and you can export it to json again.

I'm reading the pandas book right now, and there's examples of all of these things. One line to read json, one line to convert back, no pain.




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