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Currently a user needs to manually deal with NaNs, e.g. by dropping the rows or filling them with some values in pandas (e.g. .fillna(0)).
.fillna(0)
Would be nice to have a boolean flag that defaults to ignoring NaNs but prints a warning if they exist, or errors out if set to False
The text was updated successfully, but these errors were encountered:
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Currently a user needs to manually deal with NaNs, e.g. by dropping the rows or filling them with some values in pandas (e.g.
.fillna(0)
).Would be nice to have a boolean flag that defaults to ignoring NaNs but prints a warning if they exist, or errors out if set to False
The text was updated successfully, but these errors were encountered: