pyspark.sql.DataFrame.exceptAll

DataFrame.exceptAll(other: pyspark.sql.dataframe.DataFrame) → pyspark.sql.dataframe.DataFrame

Return a new DataFrame containing rows in this DataFrame but not in another DataFrame while preserving duplicates.

This is equivalent to EXCEPT ALL in SQL. As standard in SQL, this function resolves columns by position (not by name).

New in version 2.4.0.

Changed in version 3.4.0: Supports Spark Connect.

Parameters

otherDataFrame

The other DataFrame to compare to.

Returns

DataFrame

Examples

>>> df1 = spark.createDataFrame(
...         [("a", 1), ("a", 1), ("a", 1), ("a", 2), ("b",  3), ("c", 4)], ["C1", "C2"])
>>> df2 = spark.createDataFrame([("a", 1), ("b", 3)], ["C1", "C2"])
>>> df1.exceptAll(df2).show()
+---+---+
| C1| C2|
+---+---+
|  a|  1|
|  a|  1|
|  a|  2|
|  c|  4|
+---+---+

pyspark.sql.DataFrame.dtypes pyspark.sql.DataFrame.explain