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PySpark SQL Functions | round method

Machine Learning
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PySpark SQL Functions
schedule Jul 1, 2022
Last updated
local_offer PySpark
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PySpark SQL Functions' round(~) method rounds the values of the specified column.

Parameters

1. col | string or Column

The column to perform rounding on.

2. scale | int | optional

If scale is positive, such as scale=2, then values are rounded to the nearest 2nd decimal. If scale is negative, such as scale=-1, then values are rounded to the nearest tenth. By default, scale=0, that is, values are rounded to the nearest integer.

Return Value

A PySpark Column (pyspark.sql.column.Column).

Examples

Consider the following PySpark DataFrame:

df = spark.createDataFrame([["Alex", 90.4], ["Bob", 100.5], ["Cathy", 100.63]], ["name", "salary"])
df.show()
+-----+------+
| name|salary|
+-----+------+
| Alex| 90.4|
| Bob| 100.5|
|Cathy|100.63|
+-----+------+

Rounding column values to the nearest integer

To round to the nearest integer:

import pyspark.sql.functions as F
df.select(F.round("salary")).show()
+----------------+
|round(salary, 0)|
+----------------+
| 90.0|
| 101.0|
| 101.0|
+----------------+

Notice how 100.5 got rounded up to 101.

Rounding column values to the nearest first decimal

To round to the nearest 1st decimal:

df.select(F.round("salary", scale=1)).show()
+----------------+
|round(salary, 1)|
+----------------+
| 90.4|
| 100.5|
| 100.6|
+----------------+

Rounding column values to the nearest tenth

To round to the nearest tenth:

df.select(F.round("salary", scale=-1)).show()
+-----------------+
|round(salary, -1)|
+-----------------+
| 90.0|
| 100.0|
| 100.0|
+-----------------+
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Published by Isshin Inada
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