On 2021/12/28 10:54 AM, Lev Maximov wrote:
On Wed, Dec 29, 2021 at 12:45 AM Eric Firing <efir...@hawaii.edu
<mailto:efir...@hawaii.edu>> wrote:
On 2021/12/27 10:09 PM, Lev Maximov wrote:
> Btw, does it make sense to include the masked arrays? I know
Pandas uses
> something
> like a masked array for representing null values in the integer
columns.
> Does anyone use
> NumPy masked arrays nowadays?
>
Yes, numpy masked arrays are very much in use, but a masked array is a
subclass of ndarray, not a different data type.
In pandas it is a different data type ('Int64' vs 'int64'), so it makes
perfect sense for me to mention
it in this article provided I missed it in the main Numpy Illustrated
one. I didn't have a chance to use
them on my own and I've heard from some people that they don't use
the masked array, for some
reason, too. Do you know if Pandas uses ma internally or they have their
own implementation?
Pandas has some support for importing numpy masked arrays, but
internally it uses flag values rather than the parallel mask array as in
a numpy MaskedArray. A DataFrame initialized from a MaskedArray is
exported using the ".to_numpy" method as a plain ndarray, not a MaskedArray.
Eric
Thanks and regards,
Lev
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