Converting pandas index takes very long, add in arrow_table. #41
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Small regression in the arrow_to_dataframe method, trying to set the pandas index as the time column leads to pretty massive slowdowns in performance. A pandas issue, not ours. But for our use cases, we like to use pandas dataframes.
If we need to set the index, we can do that at a different point of the workflow, not when we are getting the data back from arrow. This makes the arrow method appear to be very slow when it is not.