cudf.pivot_table#
- cudf.pivot_table(data, values=None, index=None, columns=None, aggfunc='mean', fill_value=None, margins=False, dropna=None, margins_name='All', observed=False, sort=True)#
Create a spreadsheet-style pivot table as a DataFrame.
- Parameters:
- dataDataFrame
- valuescolumn name or list of column names to aggregate, optional
- indexlist of column names
Values to group by in the rows.
- columnslist of column names
Values to group by in the columns.
- aggfuncstr or dict, default “mean”
If dict is passed, the key is column to aggregate and value is function name.
- fill_valuescalar, default None
Value to replace missing values with (in the resulting pivot table, after aggregation).
- marginsNot supported
- dropnaNot supported
- margins_nameNot supported
- observedNot supported
- sortNot supported
- Returns:
- DataFrame
An Excel style pivot table.