pyspark.sql.DataFrame.collect¶
-
DataFrame.collect() → List[pyspark.sql.types.Row][source]¶ Returns all the records as a list of
Row.New in version 1.3.0.
Changed in version 3.4.0: Supports Spark Connect.
- Returns
- list
List of rows.
Examples
>>> df = spark.createDataFrame( ... [(14, "Tom"), (23, "Alice"), (16, "Bob")], ["age", "name"]) >>> df.collect() [Row(age=14, name='Tom'), Row(age=23, name='Alice'), Row(age=16, name='Bob')]