Grouping¶

Classes

`RelationalGroupedDataFrame`(df, ...)	Represents an underlying DataFrame with rows that are grouped by common values.
`GroupingSets`(*sets)	Creates a `GroupingSets` object from a list of column/expression sets that you pass to `DataFrame.group_by_grouping_sets()`.

Methods

`RelationalGroupedDataFrame.agg`(*exprs)	Returns a `DataFrame` with computed aggregates.
`RelationalGroupedDataFrame.apply_in_pandas`(...)	Maps each grouped dataframe in to a pandas.DataFrame, applies the given function on data of each grouped dataframe, and returns a pandas.DataFrame.
`RelationalGroupedDataFrame.applyInPandas`(...)	Maps each grouped dataframe in to a pandas.DataFrame, applies the given function on data of each grouped dataframe, and returns a pandas.DataFrame.
`RelationalGroupedDataFrame.avg`(*cols)	Return the average for the specified numeric columns.
`RelationalGroupedDataFrame.builtin`(agg_name)	Computes the builtin aggregate `agg_name` over the specified columns.
`RelationalGroupedDataFrame.count`()	Return the number of rows for each group.
`RelationalGroupedDataFrame.function`(agg_name)	Computes the builtin aggregate `agg_name` over the specified columns.
`RelationalGroupedDataFrame.max`(*cols)	Return the max for the specified numeric columns.
`RelationalGroupedDataFrame.mean`(*cols)	Return the average for the specified numeric columns.
`RelationalGroupedDataFrame.median`(*cols)	Return the median for the specified numeric columns.
`RelationalGroupedDataFrame.min`(*cols)	Return the min for the specified numeric columns.
`RelationalGroupedDataFrame.sum`(*cols)	Return the sum for the specified numeric columns.