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Check if the column value is in a list of values.
Syntax
isin(*cols)
Parameters
| Parameter | Type | Description |
|---|---|---|
cols |
values | List of values to check against |
Returns
Column (boolean)
Examples
Example 1: Filter rows with names in the specified values.
df = spark.createDataFrame([(2, "Alice"), (5, "Bob"), (8, "Mike")], ["age", "name"])
df[df.name.isin("Bob", "Mike")].orderBy("age").show()
# +---+----+
# |age|name|
# +---+----+
# | 5| Bob|
# | 8|Mike|
# +---+----+
Example 2: Filter rows with ages in the specified list.
df[df.age.isin([1, 2, 3])].show()
# +---+-----+
# |age| name|
# +---+-----+
# | 2|Alice|
# +---+-----+
Example 3: Filter rows with names not in the specified values.
df[~df.name.isin("Alice", "Bob")].show()
# +---+----+
# |age|name|
# +---+----+
# | 8|Mike|
# +---+----+
Example 4: Use a DataFrame as an IN subquery.
df.where(df.age.isin(spark.range(6))).orderBy("age").show()
# +---+-----+
# |age| name|
# +---+-----+
# | 2|Alice|
# | 5| Bob|
# +---+-----+