monthname

Returns the three-letter abbreviated month name from the given date.

Syntax

from pyspark.databricks.sql import functions as dbf

dbf.monthname(col=<col>)

Parameters

Parameter	Type	Description
col	pyspark.sql.Column or str	target date/timestamp column to work on.

Returns

pyspark.sql.Column: the three-letter abbreviation of month name for date/timestamp (Jan, Feb, Mar...)

Examples

from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([('2015-04-08',), ('2024-10-31',)], ['dt'])
df.select("*", dbf.typeof('dt'), dbf.monthname('dt')).show()
df = spark.createDataFrame([('2015-04-08 13:08:15',), ('2024-10-31 10:09:16',)], ['ts'])
df.select("*", dbf.typeof('ts'), dbf.monthname('ts')).show()
import datetime
df = spark.createDataFrame([
(datetime.date(2015, 4, 8),),
(datetime.date(2024, 10, 31),)], ['dt'])
df.select("*", dbf.typeof('dt'), dbf.monthname('dt')).show()
import datetime
df = spark.createDataFrame([
(datetime.datetime(2015, 4, 8, 13, 8, 15),),
(datetime.datetime(2024, 10, 31, 10, 9, 16),)], ['ts'])
df.select("*", dbf.typeof('ts'), dbf.monthname('ts')).show()