Github user davies commented on a diff in the pull request:
https://github.com/apache/spark/pull/6908#discussion_r32864207
--- Diff: python/pyspark/sql/column.py ---
@@ -326,6 +326,27 @@ def between(self, lowerBound, upperBound):
"""
return (self >= lowerBound) & (self <= upperBound)
+ @since(1.5)
+ def In(self, *values):
+ """
+ A boolean expression that is evaluated to true if the value of this
+ expression is any of the given columns.
+ NOTE: Normally, we shold name this function the small case `in`.
However, `in` is
+ a reserved word in Python. So we can't help naming this the upper
case `In`.
+
+ >>> df.select(df.name, df.age, df.age.In(2, 4)).show()
+ +-----+---+---------+
+ | name|age|(age = 2)|
+ +-----+---+---------+
+ |Alice| 2| true|
+ | Bob| 5| false|
+ +-----+---+---------+
+ """
+ for v in values:
--- End diff --
This approach will not scale if you have many values, please call the java
API `in`.
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