Comments (1)
Luthaf
commented on June 12, 2024
1
So pandas support is something we want but that is not yet implemented. I agree that the documentation could be improved in this regard, if nothing else by pointing pandas users to this to_numpy() trick.
If we get pandas support one day, I'm pretty sure it will be through this to_numpy() function, since most methods implemented in this package rely on the fact that both X and Y are array containing only floating point values. I'm not familliar enough with pandas to know if it support creating a view of the underlying array without copying when all columns have the same type, but that would be ideal for this use case.
related: #19
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Related Issues (20)
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