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Functions like fmt_nanoplot() have arguments that support calculation expressions on data. For example, reference_line= can take arguments like "min", which then calculates the min.
It would be great if we could just take a polars expression there. One issue is that afaik there isn't a way to pass an "anonymous" expression in polars. Meaning, an expression that says "do this set of calculations to some unnamed Series, that will be specified later".
However, a very similar mechanism exists for lists already in polars. You can use polars.element() to essentially do the above, for each list in a column with a schema like List[*].
I wonder if there's a way to tap into this mechanism more generally? E.g.
# pretty good, but not as extensible ---GT(...).fmt_nanoplot(reference_line="min")
# plz we need it ---GT(...).fmt_nanoplot(reference_line=pl.element().min())
(I could be missing another feature in polars that does this already)
The text was updated successfully, but these errors were encountered:
Functions like
fmt_nanoplot()
have arguments that support calculation expressions on data. For example,reference_line=
can take arguments like "min", which then calculates the min.It would be great if we could just take a polars expression there. One issue is that afaik there isn't a way to pass an "anonymous" expression in polars. Meaning, an expression that says "do this set of calculations to some unnamed Series, that will be specified later".
However, a very similar mechanism exists for lists already in polars. You can use
polars.element()
to essentially do the above, for each list in a column with a schema likeList[*]
.I wonder if there's a way to tap into this mechanism more generally? E.g.
(I could be missing another feature in polars that does this already)
The text was updated successfully, but these errors were encountered: