daft.Expression.str.replace#
- Expression.str.replace(pattern: str | daft.expressions.expressions.Expression, replacement: str | daft.expressions.expressions.Expression, regex: bool = False) Expression[source]#
Replaces all occurrences of a pattern in a string column with a replacement string. The pattern can be a literal string or a regex pattern.
Example
>>> import daft >>> df = daft.from_pydict({"data": ["foo", "bar", "baz"]}) >>> df.with_column("replace", df["data"].str.replace("ba", "123")).collect() ╭──────┬─────────╮ │ data ┆ replace │ │ --- ┆ --- │ │ Utf8 ┆ Utf8 │ ╞══════╪═════════╡ │ foo ┆ foo │ ├╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌┤ │ bar ┆ 123r │ ├╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌┤ │ baz ┆ 123z │ ╰──────┴─────────╯ (Showing first 3 of 3 rows)
Replace with a regex pattern
>>> import daft >>> df = daft.from_pydict({"data": ["foo", "fooo", "foooo"]}) >>> df.with_column("replace", df["data"].str.replace(r"o+", "a", regex=True)).collect() ╭───────┬─────────╮ │ data ┆ replace │ │ --- ┆ --- │ │ Utf8 ┆ Utf8 │ ╞═══════╪═════════╡ │ foo ┆ fa │ ├╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌┤ │ fooo ┆ fa │ ├╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌┤ │ foooo ┆ fa │ ╰───────┴─────────╯ (Showing first 3 of 3 rows)
- Parameters:
pattern – The pattern to replace
replacement – The replacement string
regex – Whether the pattern is a regex pattern or an exact match. Defaults to False.
- Returns:
a String expression with patterns replaced by the replacement string
- Return type:
Expression