isin

Check if the column value is in a list of values.

Syntax

isin(*cols)

Parameters

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|
# +---+-----+