typeof
Return DDL-formatted type string for the data type of the input.
Syntax
Python
from pyspark.sql import functions as sf
sf.typeof(col)
Parameters
Parameter | Type | Description |
|---|---|---|
|
| The column to get the type of. |
Examples
Example 1: Get types of various columns
Python
from pyspark.sql import functions as sf
df = spark.createDataFrame([(True, 1, 1.0, 'xyz',)], ['a', 'b', 'c', 'd'])
df.select(sf.typeof(df.a), sf.typeof(df.b), sf.typeof('c'), sf.typeof('d')).show()
Output
+---------+---------+---------+---------+
|typeof(a)|typeof(b)|typeof(c)|typeof(d)|
+---------+---------+---------+---------+
| boolean| bigint| double| string|
+---------+---------+---------+---------+