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I've also found circumstances where I've wanted to provide an empty dataframe (instead of None) and where I've wanted to add in NaNs (because I wanted the indices to exist).
I propose a node that can handle various degrees of missing data:
providing an empty dataframe instead of None
provide a dataframe with an index (or additional indices) but no values
drop NaNs
replaces NaNs with values (e.g. zeros)
The text was updated successfully, but these errors were encountered:
In timeflux/timeflux_ui#9 @mesca thought that a node for dropping NaNs could have a place in core.
I've also found circumstances where I've wanted to provide an empty dataframe (instead of None) and where I've wanted to add in NaNs (because I wanted the indices to exist).
I propose a node that can handle various degrees of missing data:
The text was updated successfully, but these errors were encountered: