Skip to main content

log10

Computes the logarithm of the given value in Base 10. Supports Spark Connect.

For the corresponding Databricks SQL function, see log10 function.

Syntax​

Python
from pyspark.sql import functions as dbf

dbf.log10(col=<col>)

Parameters​

Parameter

Type

Description

col

pyspark.sql.Column or column name

column to calculate logarithm for.

Parameter

Type

Description

col

pyspark.sql.Column or column name

column to calculate logarithm for.

Returns​

pyspark.sql.Column: logarithm of the given value in Base 10.

Examples​

Python
from pyspark.sql import functions as dbf
df = spark.createDataFrame([(1,), (10,), (100,)], ["value"])
df.select("*", dbf.log10(df.value)).show()
Output
+-----+------------+
|value|LOG10(value)|
+-----+------------+
| 1| 0.0|
| 10| 1.0|
| 100| 2.0|
+-----+------------+

Python
from pyspark.sql import functions as dbf
spark.sql("SELECT * FROM VALUES (-1), (0), (FLOAT('NAN')), (NULL) AS TAB(value)").select("*", dbf.log10("value")).show()
Output
+-----+------------+
|value|LOG10(value)|
+-----+------------+
| -1.0| NULL|
| 0.0| NULL|
| NaN| NaN|
| NULL| NULL|
+-----+------------+