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Dataframes are awesome. Do we want to support them?
This would mean either switching over from numpy recarrays completely or adding an abstraction layer that can handle both..
The text was updated successfully, but these errors were encountered:
From the link @HansN87 posted above it seems Dataframes are always quicker for more than 500k rows, and potentially quicker for more than 50k rows, although having a larger memory footprint.
For now I think a good starting point would be to add support for Dataframes in the usercode (e.g. when dealing with analyzing trials).
Dataframes are awesome. Do we want to support them?
This would mean either switching over from numpy recarrays completely or adding an abstraction layer that can handle both..
The text was updated successfully, but these errors were encountered: