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The dependencies are too heavy to be included whole-sale into it. I'm mostly a Haskell programmer so I don't actually know what the best way to introduce Pandas into the TempoDB client would be without building a convoluted module / plugin / hook system.
Maybe there's just the TempoDB Client and then a higher-level (and heavier) TempoDB-Pandas package that can provide an API layer for composing TempoDB client operations with the Pandas DataFrame type and TimeSeries operations.
I'm doing this in my own fork anyway but an arg to have tempo python lib load series data to / from pandas time series objects would be stellar.
Our data is pretty much touched by pandas anytime read.
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