nxcals.api.extraction.data.builders.DataFrame.withColumnRenamed

DataFrame.withColumnRenamed(existing: str, new: str) → DataFrame

Returns a new DataFrame by renaming an existing column. This is a no-op if the schema doesn’t contain the given column name.

New in version 1.3.0.

Changed in version 3.4.0: Supports Spark Connect.

Parameters:

  • existing (str) – string, name of the existing column to rename.

  • new (str) – string, new name of the column.

Returns:

DataFrame with renamed column.

Return type:

DataFrame

Examples

>>> df = spark.createDataFrame([(2, "Alice"), (5, "Bob")], schema=["age", "name"])
>>> df.withColumnRenamed('age', 'age2').show()
+----+-----+
|age2| name|
+----+-----+
|   2|Alice|
|   5|  Bob|
+----+-----+