Handle NaNs

[jo-mueller]

When using the algorithm widgets, there is no check for NaNs in the processed dataframes. To handle these correctly, NaN rows should be removed before passing the data onto the respective algorithm. Likewise, the NaN rows should be added again after the processing or napari will complain that the number of features in the input/outputs doesn't match.