polars.DataFrame.item#

DataFrame.item(row: int | None = None, column: int | str | None = None) → Any[source]#

Return the DataFrame as a scalar, or return the element at the given row/column.

Parameters:

row: Optional row index.
column: Optional column index or name.

See also

row: Get the values of a single row, either by index or by predicate.

Notes

If row/col not provided, this is equivalent to df[0,0], with a check that the shape is (1,1). With row/col, this is equivalent to df[row,col].

Examples

>>> df = pl.DataFrame({"a": [1, 2, 3], "b": [4, 5, 6]})
>>> df.select((pl.col("a") * pl.col("b")).sum()).item()
32
>>> df.item(1, 1)
5
>>> df.item(2, "b")
6