从数组中删除重复值。
Syntax
from pyspark.sql import functions as sf
sf.array_distinct(col)
参数
| 参数 | 类型 | Description |
|---|---|---|
col |
pyspark.sql.Column 或 str |
列或表达式的名称 |
退货
pyspark.sql.Column：一个新列，它是输入列中唯一值的数组。
例子
示例 1：从简单数组中删除重复值
from pyspark.sql import functions as sf
df = spark.createDataFrame([([1, 2, 3, 2],)], ['data'])
df.select(sf.array_distinct(df.data)).show()
+--------------------+
|array_distinct(data)|
+--------------------+
| [1, 2, 3]|
+--------------------+
示例 2：从多个数组中删除重复值
from pyspark.sql import functions as sf
df = spark.createDataFrame([([1, 2, 3, 2],), ([4, 5, 5, 4],)], ['data'])
df.select(sf.array_distinct(df.data)).show()
+--------------------+
|array_distinct(data)|
+--------------------+
| [1, 2, 3]|
| [4, 5]|
+--------------------+
示例 3：从具有相同值的数组中删除重复值
from pyspark.sql import functions as sf
df = spark.createDataFrame([([1, 1, 1],)], ['data'])
df.select(sf.array_distinct(df.data)).show()
+--------------------+
|array_distinct(data)|
+--------------------+
| [1]|
+--------------------+
示例 4：从没有重复值的数组中删除重复值
from pyspark.sql import functions as sf
df = spark.createDataFrame([([1, 2, 3],)], ['data'])
df.select(sf.array_distinct(df.data)).show()
+--------------------+
|array_distinct(data)|
+--------------------+
| [1, 2, 3]|
+--------------------+
示例 5：从空数组中删除重复值
from pyspark.sql import functions as sf
from pyspark.sql.types import ArrayType, IntegerType, StructType, StructField
schema = StructType([
StructField("data", ArrayType(IntegerType()), True)
])
df = spark.createDataFrame([([],)], schema)
df.select(sf.array_distinct(df.data)).show()
+--------------------+
|array_distinct(data)|
+--------------------+
| []|
+--------------------+