DataFrame.all is useful when you want to evaluate whether all values of a row or a column are true. If you want to get the rows whose all values are NaN, use both isna and all.
DataFrame.all
isna
all
My previous tips on filtering with pandas.
DuckDB: Simplify DataFrame Analysis with Serverless SQL
Simplifying Dataset Comparison with Datacompy
Fuzzy Joining Tables with Non-Exact Matching Entries
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