pyspark.sql.functions.sentences¶

pyspark.sql.functions.sentences(string: ColumnOrName, language: Optional[ColumnOrName] = None, country: Optional[ColumnOrName] = None) → pyspark.sql.column.Column[source]¶

Splits a string into arrays of sentences, where each sentence is an array of words. The ‘language’ and ‘country’ arguments are optional, and if omitted, the default locale is used.

New in version 3.2.0.

Changed in version 3.4.0: Supports Spark Connect.

Parameters

stringColumn or str: a string to be split
languageColumn or str, optional: a language of the locale
countryColumn or str, optional: a country of the locale

Returns

Column: arrays of split sentences.

Examples

>>> df = spark.createDataFrame([["This is an example sentence."]], ["string"])
>>> df.select(sentences(df.string, lit("en"), lit("US"))).show(truncate=False)
+-----------------------------------+
|sentences(string, en, US)          |
+-----------------------------------+
|[[This, is, an, example, sentence]]|
+-----------------------------------+
>>> df = spark.createDataFrame([["Hello world. How are you?"]], ["s"])
>>> df.select(sentences("s")).show(truncate=False)
+---------------------------------+
|sentences(s, , )                 |
+---------------------------------+
|[[Hello, world], [How, are, you]]|
+---------------------------------+

pyspark.sql.functions.overlay pyspark.sql.functions.translate