cudf.pivot_table#
- cudf.pivot_table(
- data: DataFrame,
- 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
- indexscalar or list of column names
Values to group by in the rows.
- columnsscalar or list 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.