selectExpr
Projects a set of SQL expressions and returns a new DataFrame.
Syntax
selectExpr(*expr: Union[str, List[str]])
Parameters
Parameter | Type | Description |
|---|---|---|
| str or list of str | SQL expression strings to project. |
Returns
DataFrame: A DataFrame with new/old columns transformed by expressions.
Examples
Python
df = spark.createDataFrame([
(2, "Alice"), (5, "Bob")], schema=["age", "name"])
df.selectExpr("age * 2", "abs(age)").show()
# +---------+--------+
# |(age * 2)|abs(age)|
# +---------+--------+
# | 4| 2|
# | 10| 5|
# +---------+--------+