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PySpark SQL Functions | dayofweek method

schedule Aug 12, 2023
Last updated
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PySpark SQL Functions' dayofweek(~) method extracts the day of the week of each datetime value or date string of a PySpark column.

Parameters

1. col | string or Column

The date column from which to extract the day of the week.

Return Value

A Column of integers.

Examples

Consider the following PySpark DataFrame with some datetime values:

import datetime
df = spark.createDataFrame([["Alex", datetime.date(1995,12,16)], ["Bob", datetime.date(1995,5,9)]], ["name", "birthday"])
df.show()
+----+----------+
|name| birthday|
+----+----------+
|Alex|1995-12-16|
| Bob|1995-05-09|
+----+----------+

Getting the day of the week from datetime values in PySpark DataFrame

To get the day of the week in PySpark DataFrame:

import pyspark.sql.functions as F
df.select(F.dayofweek('birthday').alias('day')).show()
+---+
|day|
+---+
| 7|
| 1|
+---+

Here:

  • 7 represents Sunday while 1 represents Monday.

  • we are using alias(~) to give a label to the Column object returned by dayofweek(~).

Getting the day of week from date strings in PySpark DataFrame

Note that the method still works even if the date is in string form:

df = spark.createDataFrame([["Alex", "1995-12-16"], ["Bob", "1990-05-06"]], ["name", "birthday"])
df.select(F.dayofweek("birthday").alias("day")).show()
+---+
|day|
+---+
| 7|
| 1|
+---+
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Published by Isshin Inada
Edited by 0 others
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