DataFrame.
toDF
Returns a new DataFrame that with new specified column names
DataFrame
Changed in version 3.4.0: Supports Spark Connect.
a tuple of string new column name. The length of the list needs to be the same as the number of columns in the initial DataFrame
DataFrame with new column names.
Examples
>>> df = spark.createDataFrame([(14, "Tom"), (23, "Alice"), ... (16, "Bob")], ["age", "name"]) >>> df.toDF('f1', 'f2').show() +---+-----+ | f1| f2| +---+-----+ | 14| Tom| | 23|Alice| | 16| Bob| +---+-----+