polars.Series.nan_max# Series.nan_max() → int | float | date | datetime | timedelta | str[source]# Get maximum value, but propagate/poison encountered NaN values. This differs from numpy’s nanmax as numpy defaults to propagating NaN values, whereas polars defaults to ignoring them.