feat: add fill_null/nan expressions #919
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This is good. I'll open an issue to also add a fill_nan at a dataframe level, which is an operation I do frequently in spark. |
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Which issue does this PR close?
Rationale for this change
Fill_na/null is a quite common method for doing this by other dataframe libraries (spark, polars, pandas)
What changes are included in this PR?