pyspark.sql.functions.date_format¶
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pyspark.sql.functions.date_format(date, format)[source]¶ Converts a date/timestamp/string to a value of string in the format specified by the date format given by the second argument.
A pattern could be for instance dd.MM.yyyy and could return a string like ‘18.03.1993’. All pattern letters of datetime pattern. can be used.
New in version 1.5.0.
Notes
Whenever possible, use specialized functions like year.
Examples
>>> df = spark.createDataFrame([('2015-04-08',)], ['dt']) >>> df.select(date_format('dt', 'MM/dd/yyy').alias('date')).collect() [Row(date='04/08/2015')]