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Computes the logarithm of the given value in Base 10. Supports Spark Connect.
For the corresponding Databricks SQL function, see log10 function.
Syntax
from pyspark.databricks.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. |
Returns
pyspark.sql.Column: logarithm of the given value in Base 10.
Examples
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([(1,), (10,), (100,)], ["value"])
df.select("*", dbf.log10(df.value)).show()
+-----+------------+
|value|LOG10(value)|
+-----+------------+
| 1| 0.0|
| 10| 1.0|
| 100| 2.0|
+-----+------------+
from pyspark.databricks.sql import functions as dbf
spark.sql("SELECT * FROM VALUES (-1), (0), (FLOAT('NAN')), (NULL) AS TAB(value)").select("*", dbf.log10("value")).show()
+-----+------------+
|value|LOG10(value)|
+-----+------------+
| -1.0| NULL|
| 0.0| NULL|
| NaN| NaN|
| NULL| NULL|
+-----+------------+