array

Membuat kolom array baru dari kolom input atau nama kolom.

Syntax

from pyspark.sql import functions as sf

sf.array(*cols)

Parameter-parameternya

Pengaturan	Tipe	Description
cols	pyspark.sql.Column atau str	Nama kolom atau Objek kolom yang memiliki tipe data yang sama.

Pengembalian Barang

pyspark.sql.Column: Kolom jenis array baru, di mana setiap nilai adalah array yang berisi nilai yang sesuai dari kolom input.

Examples

Contoh 1: Penggunaan dasar fungsi array dengan nama kolom.

from pyspark.sql import functions as sf
df = spark.createDataFrame([("Alice", "doctor"), ("Bob", "engineer")],
    ("name", "occupation"))
df.select(sf.array('name', 'occupation')).show()

+-----------------------+
|array(name, occupation)|
+-----------------------+
|        [Alice, doctor]|
|        [Bob, engineer]|
+-----------------------+

Contoh 2: Penggunaan fungsi array dengan objek Kolom.

from pyspark.sql import functions as sf
df = spark.createDataFrame([("Alice", "doctor"), ("Bob", "engineer")],
    ("name", "occupation"))
df.select(sf.array(df.name, df.occupation)).show()

+-----------------------+
|array(name, occupation)|
+-----------------------+
|        [Alice, doctor]|
|        [Bob, engineer]|
+-----------------------+

Contoh 3: Argumen tunggal sebagai daftar nama kolom.

from pyspark.sql import functions as sf
df = spark.createDataFrame([("Alice", "doctor"), ("Bob", "engineer")],
    ("name", "occupation"))
df.select(sf.array(['name', 'occupation'])).show()

+-----------------------+
|array(name, occupation)|
+-----------------------+
|        [Alice, doctor]|
|        [Bob, engineer]|
+-----------------------+

Contoh 4: Penggunaan fungsi array dengan kolom dari berbagai jenis.

from pyspark.sql import functions as sf
df = spark.createDataFrame(
    [("Alice", 2, 22.2), ("Bob", 5, 36.1)],
    ("name", "age", "weight"))
df.select(sf.array(['age', 'weight'])).show()

+------------------+
|array(age, weight)|
+------------------+
|       [2.0, 22.2]|
|       [5.0, 36.1]|
+------------------+

Contoh 5: fungsi array dengan kolom yang berisi nilai null.

from pyspark.sql import functions as sf
df = spark.createDataFrame([("Alice", None), ("Bob", "engineer")],
    ("name", "occupation"))
df.select(sf.array('name', 'occupation')).show()

+-----------------------+
|array(name, occupation)|
+-----------------------+
|          [Alice, NULL]|
|        [Bob, engineer]|
+-----------------------+