daft.DataFrame.with_columns_renamed#
- DataFrame.with_columns_renamed(cols_map: Dict[str, str]) DataFrame[source]#
Renames multiple columns in the current DataFrame.
If the columns in the DataFrame schema do not exist, this will be a no-op.
Example
>>> import daft >>> df = daft.from_pydict({"x": [1, 2, 3], "y": [4, 5, 6]}) >>> df.with_columns_renamed({"x": "foo", "y": "bar"}).show() ╭───────┬───────╮ │ foo ┆ bar │ │ --- ┆ --- │ │ Int64 ┆ Int64 │ ╞═══════╪═══════╡ │ 1 ┆ 4 │ ├╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌┤ │ 2 ┆ 5 │ ├╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌┤ │ 3 ┆ 6 │ ╰───────┴───────╯ (Showing first 3 of 3 rows)
- Parameters:
cols_map (Dict[str, str]) – Dictionary of columns to rename in the format { existing: new }
- Returns:
DataFrame with the columns renamed.
- Return type: