pandas.DataFrame.pivot_table — pandas 0.16.2 documentation (original) (raw)

data : DataFrame

values : column to aggregate, optional

index : a column, Grouper, array which has the same length as data, or list of them.

Keys to group by on the pivot table index. If an array is passed, it is being used as the same manner as column values.

columns : a column, Grouper, array which has the same length as data, or list of them.

Keys to group by on the pivot table column. If an array is passed, it is being used as the same manner as column values.

aggfunc : function, default numpy.mean, or list of functions

If list of functions passed, the resulting pivot table will have hierarchical columns whose top level are the function names (inferred from the function objects themselves)

fill_value : scalar, default None

Value to replace missing values with

margins : boolean, default False

Add all row / columns (e.g. for subtotal / grand totals)

dropna : boolean, default True

Do not include columns whose entries are all NaN