Reducing Functions Supported by Categoricals

The following reducing/aggregating methods are supported by Categoricals. The NaN versions exclude NaN values.

When a method is called on a Categorical, it’s applied to each group.

Reducing Function	Description
`count()`	Total number of items
`count_uniques()`	Total number of each unique item
`first()`, `last()`	First item, last item
`mean()`, `nanmean()`	Mean, NaN version
`median()`, `nanmedian()`	Median, NaN version
`min()`, `nanmin()`	Minimum, NaN version
`max()`, `nanmax()`	Maximum, NaN version
`mode()`	The number that occurs most often (skips NaNs)
`nth()`	Take nth value, or a subset if n is a list
`prod()`	Product of all items
`std()`, `nanstd()`	Standard deviation, NaN version
`sum()`, `nansum()`	Sum of all items, NaN version
`trimbr()`	Trimmed mean br (skips NaNs)
`var()`, `nanvar()`	Variance, NaN version