pyspark.sql.functions.decode¶

pyspark.sql.functions.decode(col: ColumnOrName, charset: str) → pyspark.sql.column.Column[source]¶

Computes the first argument into a string from a binary using the provided character set (one of ‘US-ASCII’, ‘ISO-8859-1’, ‘UTF-8’, ‘UTF-16BE’, ‘UTF-16LE’, ‘UTF-16’).

New in version 1.5.0.

Changed in version 3.4.0: Supports Spark Connect.

Parameters

colColumn or str: target column to work on.
charsetstr: charset to use to decode to.

Returns

Column: the column for computed results.

Examples

>>> df = spark.createDataFrame([('abcd',)], ['a'])
>>> df.select(decode("a", "UTF-8")).show()
+----------------+
|decode(a, UTF-8)|
+----------------+
|            abcd|
+----------------+

pyspark.sql.functions.contains

pyspark.sql.functions.elt