NaN-aware Reductions
Beginner
Real arrays have holes, marked NaN, and one NaN turns a plain sum, mean or max into NaN. Implement the tools that work around holes. summary_ignoring_nan reports the count, mean, standard deviation, minimum and maximum of the known values, count_missing counts the holes along an axis, fill_with_column_means replaces each hole with the mean of the other values in its column, rows_without_nan keeps only complete rows, and argmax_ignoring_nan returns the position of the largest known value.
Keywords
numpy-core
Python
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