Aggregation

DataFrame.count()	Return the number of non-null elements for each column.
DataFrame.max()	Aggregate the columns of this DataFrame to their maximum value.
DataFrame.max_horizontal()	Get the maximum value horizontally across columns.
DataFrame.mean()	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()	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()	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.