diff --git a/python/pyspark/sql/functions.py b/python/pyspark/sql/functions.py
index 5ef73987a66a..f2e66337257b 100644
--- a/python/pyspark/sql/functions.py
+++ b/python/pyspark/sql/functions.py
@@ -2551,6 +2551,28 @@ def map_concat(*cols):
     return Column(jc)
 
 
+@since(2.4)
+def sequence(start, stop, step=None):
+    """
+    Generate a sequence of integers from `start` to `stop`, incrementing by `step`.
+    If `step` is not set, incrementing by 1 if `start` is less than or equal to `stop`,
+    otherwise -1.
+
+    >>> df1 = spark.createDataFrame([(-2, 2)], ('C1', 'C2'))
+    >>> df1.select(sequence('C1', 'C2').alias('r')).collect()
+    [Row(r=[-2, -1, 0, 1, 2])]
+    >>> df2 = spark.createDataFrame([(4, -4, -2)], ('C1', 'C2', 'C3'))
+    >>> df2.select(sequence('C1', 'C2', 'C3').alias('r')).collect()
+    [Row(r=[4, 2, 0, -2, -4])]
+    """
+    sc = SparkContext._active_spark_context
+    if step is None:
+        return Column(sc._jvm.functions.sequence(_to_java_column(start), _to_java_column(stop)))
+    else:
+        return Column(sc._jvm.functions.sequence(
+            _to_java_column(start), _to_java_column(stop), _to_java_column(step)))
+
+
 # ---------------------------- User Defined Function ----------------------------------
 
 class PandasUDFType(object):