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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")