to_binary
Converts the input col to a binary value based on the supplied format. The format can be a case-insensitive string literal of "hex", "utf-8", "utf8", or "base64". By default, the binary format for conversion is "hex" if format is omitted. The function returns NULL if at least one of the input parameters is NULL.
For the corresponding Databricks SQL function, see to_binary function.
Syntax
Python
from pyspark.databricks.sql import functions as dbf
dbf.to_binary(col=<col>, format=<format>)
Parameters
Parameter | Type | Description |
|---|---|---|
|
| Input column or strings. |
|
| format to use to convert binary values. |
Examples
Python
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([("abc",)], ["e"])
df.select(dbf.try_to_binary(df.e, dbf.lit("utf-8")).alias('r')).collect()
Python
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([("414243",)], ["e"])
df.select(dbf.try_to_binary(df.e).alias('r')).collect()