exceptAll
Return a new DataFrame containing rows in this DataFrame but not in another DataFrame while preserving duplicates.
Syntax
exceptAll(other: "DataFrame")
Parameters
Parameter | Type | Description |
|---|---|---|
| DataFrame | The other DataFrame to compare to. |
Returns
DataFrame
Notes
This is equivalent to EXCEPT ALL in SQL. As standard in SQL, this function resolves columns by position (not by name).
Examples
Python
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|
# +---+---+