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Remove the leading and trailing trim characters from str.
For the corresponding Databricks SQL function, see btrim function.
Syntax
from pyspark.databricks.sql import functions as dbf
dbf.btrim(str=<str>, trim=<trim>)
Parameters
| Parameter | Type | Description |
|---|---|---|
str |
pyspark.sql.Column or str |
Input column or strings. |
trim |
pyspark.sql.Column or str, optional |
The trim string characters to trim, the default value is a single space Examples -------- >>> df = spark.createDataFrame([("SSparkSQLS", "SL", )], ['a', 'b']) >>> df.select(btrim(df.a, df.b).alias('r')).collect() [Row(r='parkSQ')] >>> df = spark.createDataFrame([(" SparkSQL ",)], ['a']) >>> df.select(btrim(df.a).alias('r')).collect() [Row(r='SparkSQL')] |
Examples
df = spark.createDataFrame([("SSparkSQLS", "SL", )], ['a', 'b'])
df.select(btrim(df.a, df.b).alias('r')).collect()
df = spark.createDataFrame([(" SparkSQL ",)], ['a'])
df.select(btrim(df.a).alias('r')).collect()