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.