Support converting to NumPy masked arrays about polars HOT 5 OPEN

Hey, I'd be interested in taking a stab at this issue if its available!

Sure, go ahead!

from polars.

Or is there some other input where users should define the mask?

The mask is the validity buffer of the Series. The user doesn't define it manually.

from polars.

Hey, I'd be interested in taking a stab at this issue if its available!

from polars.

Hey, I'm beginning to look in to this and just want to make sure I'm clear about what the source for the masked buffer is. Is this something that you envision to be passed as part of the to_numpy function? i.e. I'd be able to write:

x = pl.Series([1,2,-1,4]).to_numpy(mask = [0, 0, 1, 0])

Or is there some other input where users should define the mask?

from polars.

Hey, I've been very slow to get started on this but finally have some time - a quick question about the Series type, is there a way to access the validity buffer without having to know the underlying datatype of the ChunkedArray?

Also, I wanted ask about the behavior for arrays that have a null bitmask - I assume this means that all entries are valid, and we should construct the python array as such?

from polars.