Aggregation

DataFrame.count()	Return the number of non-null elements for each column.
DataFrame.max([axis])	Aggregate the columns of this DataFrame to their maximum value.
DataFrame.max_horizontal()	Get the maximum value horizontally across columns.
DataFrame.mean(*[, axis, null_strategy])	Aggregate the columns of this DataFrame to their mean value.
DataFrame.mean_horizontal(*[, ignore_nulls])	Take the mean of all values horizontally across columns.
DataFrame.median()	Aggregate the columns of this DataFrame to their median value.
DataFrame.min([axis])	Aggregate the columns of this DataFrame to their minimum value.
DataFrame.min_horizontal()	Get the minimum value horizontally across columns.
DataFrame.product()	Aggregate the columns of this DataFrame to their product values.
DataFrame.quantile(quantile[, interpolation])	Aggregate the columns of this DataFrame to their quantile value.
DataFrame.std([ddof])	Aggregate the columns of this DataFrame to their standard deviation value.
DataFrame.sum(*[, axis, null_strategy])	Aggregate the columns of this DataFrame to their sum value.
DataFrame.sum_horizontal(*[, ignore_nulls])	Sum all values horizontally across columns.
DataFrame.var([ddof])	Aggregate the columns of this DataFrame to their variance value.