Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/17160#discussion_r104278452
--- Diff: python/pyspark/sql/column.py ---
@@ -180,7 +180,9 @@ def __init__(self, jc):
__ror__ = _bin_op("or")
# container operators
- __contains__ = _bin_op("contains")
+ def __contains__(self, item):
+ raise ValueError("Cannot apply 'in' operator against a column:
please use 'contains' "
+ "in a string column or 'array_contains' function
for an array column.")
--- End diff --
What I meant here is use
```python
>>> df = spark.range(1)
>>> df.select(df.id.contains(0)).show()
```
```
+---------------+
|contains(id, 0)|
+---------------+
| true|
+---------------+
```
or
```python
>>> from pyspark.sql.functions import array_contains
>>> df = spark.createDataFrame([[[0]]], ["id"])
>>> df.select(array_contains(df.id, 0)).show()
```
```
+---------------------+
|array_contains(id, 0)|
+---------------------+
| true|
+---------------------+
```
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