search
Search
Join our weekly DS/ML newsletter layers DS/ML Guides
menu
menu search toc more_vert
Robocat
Guest 0reps
Thanks for the thanks!
close
Comments
Log in or sign up
Cancel
Post
account_circle
Profile
exit_to_app
Sign out
help Ask a question
Share on Twitter
search
keyboard_voice
close
Searching Tips
Search for a recipe:
"Creating a table in MySQL"
Search for an API documentation: "@append"
Search for code: "!dataframe"
Apply a tag filter: "#python"
Useful Shortcuts
/ to open search panel
Esc to close search panel
to navigate between search results
d to clear all current filters
Enter to expand content preview
icon_star
Doc Search
icon_star
Code Search Beta
SORRY NOTHING FOUND!
mic
Start speaking...
Voice search is only supported in Safari and Chrome.
Navigate to
A
A
brightness_medium
share
arrow_backShare
Twitter
Facebook

PySpark SQL Functions | least method

Machine Learning
chevron_right
PySpark
chevron_right
Documentation
chevron_right
PySpark SQL Functions
schedule Jul 1, 2022
Last updated
local_offer PySpark
Tags

PySpark SQL Functions' least(~) takes as input multiple columns, and returns a PySpark Column holding the least value for every row of the input columns.

Parameters

1. *cols | string or Column

The input columns whose row values will be compared to check.

Return Value

A PySpark DataFrame.

Examples

Consider the following PySpark DataFrame:

df = spark.createDataFrame([[20,10], [30,50], [40,90]], ["A", "B"])
df.show()
+---+---+
| A| B|
+---+---+
| 20| 10|
| 30| 50|
| 40| 90|
+---+---+

Getting the least value for every row of specified columns in PySpark

To get the least value for every row of columns A and B:

import pyspark.sql.functions as F
df.select(F.least("A","B")).show()
+-----------+
|least(A, B)|
+-----------+
| 10|
| 30|
| 40|
+-----------+

We can also pass Column objects instead of column labels:

df.select(F.least(df.A,df.B)).show()
+-----------+
|least(A, B)|
+-----------+
| 10|
| 30|
| 40|
+-----------+

Note that we can append the Column returned by least(~) by using withColumn(~):

df.withColumn("smallest", F.least("A","B")).show()
+---+---+--------+
| A| B|smallest|
+---+---+--------+
| 20| 10| 10|
| 30| 50| 30|
| 40| 90| 40|
+---+---+--------+
mail
Join our newsletter for updates on new DS/ML comprehensive guides (spam-free)
robocat
Published by Isshin Inada
Edited by 0 others
Did you find this page useful?
thumb_down
0
thumb_down
0
chat_bubble_outline
0
settings
Enjoy our search
Hit / to insta-search docs and recipes!