bigframes.pandas.DataFrame.aggregate#

DataFrame.aggregate(func)→DataFrame|Series#

Aggregate using one or more operations over columns.

Examples:

>>>df=bpd.DataFrame({"A":[3,1,2],"B":[1,2,3]})>>>df    A       B0   3       11   1       22   2       3[3 rows x 2 columns]

Using a single function:

>>>df.agg('sum')A    6B    6dtype: Int64

Using a list of functions:

>>>df.agg(['sum','mean'])          A   Bsum     6.0 6.0mean        2.0     2.0[2 rows x 2 columns]

Parameters:

func (function) – Function to use for aggregating the data.Accepted combinations are: string function name, list offunction names, e.g.['sum','mean'].

Returns:

Aggregated results.

Return type:

bigframes.pandas.DataFrame orbigframes.pandas.Series