Function reference

Plain reducers

NumPy-like reducers where NaN and infinity participate as ordinary IEEE values.

mean	Return the arithmetic mean with NaN/inf propagation.
average	Return the weighted average with NaN/inf propagation.
sum	Return the sum with NaN/inf propagation.
min	Return the minimum with NaN propagation.
max	Return the maximum with NaN propagation.
median	Return the median with NaN propagation.
var	Return the variance with NaN/inf propagation.
std	Return the standard deviation with NaN/inf propagation.
percentile	Return linear-interpolation percentiles with NaN propagation.
quantile	Return linear-interpolation quantiles with NaN propagation.

NaN-aware reducers

NumPy nan* parity by default, with ignore_inf=True for finite-only reductions.

nanmean	Return the arithmetic mean while skipping NaN values.
nanaverage	Return the weighted average while skipping NaN values.
nansum	Return the sum while skipping NaN values.
nanmin	Return the minimum while skipping NaN values.
nanmax	Return the maximum while skipping NaN values.
nanminmax	Return the minimum and maximum while skipping NaN values.
nanmedian	Return the median while skipping NaN values.
nanvar	Return the variance while skipping NaN values.
nanstd	Return the standard deviation while skipping NaN values.
nanpercentile	Return linear-interpolation percentiles while skipping NaN values.
nanquantile	Return linear-interpolation quantiles while skipping NaN values.

Extra reducers

Reducers-specific helpers.

lmedian	Return the lower value-selecting median while skipping NaN values.
minmax	Return the minimum and maximum with NaN propagation.
count_finite	Return the number of finite values.