pyspark.sql.functions.add_months¶
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pyspark.sql.functions.add_months(start: ColumnOrName, months: Union[ColumnOrName, int]) → pyspark.sql.column.Column¶ Returns the date that is months months after start
Examples
>>> df = spark.createDataFrame([('2015-04-08', 2)], ['dt', 'add']) >>> df.select(add_months(df.dt, 1).alias('next_month')).collect() [Row(next_month=datetime.date(2015, 5, 8))] >>> df.select(add_months(df.dt, df.add.cast('integer')).alias('next_month')).collect() [Row(next_month=datetime.date(2015, 6, 8))]