make_ym_interval

Make year-month interval from years, months.

For the corresponding Databricks SQL function, see make_ym_interval function.

Syntax

from pyspark.databricks.sql import functions as dbf

dbf.make_ym_interval(years=<years>, months=<months>)

Parameters

Parameter	Type	Description
years	pyspark.sql.Column or str, optional	The number of years, positive or negative
months	pyspark.sql.Column or str, optional	The number of months, positive or negative

Returns

pyspark.sql.Column: A new column that contains a year-month interval.

Examples

spark.conf.set("spark.sql.session.timeZone", "America/Los_Angeles")

from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([[2014, 12]], ['year', 'month'])
df.select('*', dbf.make_ym_interval('year', df.month)).show(truncate=False)
df = spark.createDataFrame([[2014, 12]], ['year', 'month'])
df.select('*', dbf.make_ym_interval(df.year)).show(truncate=False)
spark.range(1).select(dbf.make_ym_interval()).show(truncate=False)
spark.conf.unset("spark.sql.session.timeZone")