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PySpark SQL Functions | dayofyear method

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

Parameters

1. col | string or Column

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

Return Value

A Column object 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(1995,5,6)]], ["name", "birthday"])
df.show()
+----+----------+
|name| birthday|
+----+----------+
|Alex|1995-12-16|
| Bob|1995-05-06|
+----+----------+

Getting the day of the year of date values in PySpark DataFrame

To get the day of the year of date values:

import pyspark.sql.functions as F
df.select(F.dayofyear("birthday").alias("day")).show()
+---+
|day|
+---+
|350|
|126|
+---+

Here, we are assigning the label "day" to the Column returned by dayofyear(~).

Getting the day of the year of date strings in PySpark DataFrame

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

df = spark.createDataFrame([["Alex", "1995-12-16"], ["Bob", "1990-05-06"]], ["name", "birthday"])
df.select(F.dayofyear("birthday").alias("day")).show()
+---+
|day|
+---+
|350|
|126|
+---+
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Published by Isshin Inada
Edited by 0 others
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