diff --git a/CHANGE_LOG.txt b/CHANGE_LOG.txt
index f49981d..9b480a8 100644
--- a/CHANGE_LOG.txt
+++ b/CHANGE_LOG.txt
@@ -74,4 +74,8 @@ Adding support for dataframe.groupBy.pivot
 
 Version 0.0.13
 --------------
-Added support for sort_array, array_max, array_min
\ No newline at end of file
+Added support for sort_array, array_max, array_min
+
+Version 0.0.14
+--------------
+Added support for map_values
\ No newline at end of file
diff --git a/setup.py b/setup.py
index 45bb081..b98c727 100644
--- a/setup.py
+++ b/setup.py
@@ -5,7 +5,7 @@
 this_directory = Path(__file__).parent
 long_description = (this_directory / "README.md").read_text()
 
-VERSION = '0.0.12'
+VERSION = '0.0.14'
 
 setup(name='snowpark_extensions',
       version=VERSION,
diff --git a/snowpark_extensions/dataframe_extensions.py b/snowpark_extensions/dataframe_extensions.py
index 77c1bd2..f047b91 100644
--- a/snowpark_extensions/dataframe_extensions.py
+++ b/snowpark_extensions/dataframe_extensions.py
@@ -162,7 +162,28 @@ def specials(cls,c):
             if hasattr(c,"_is_special_column"):
                 yield c
 
-    
+    class MapValues(SpecialColumn):
+        def __init__(self,array_col):
+            super().__init__("values")
+            self.array_col = array_col
+            self._special_column_dependencies = [array_col]
+        def add_columns(self, new_cols, alias:str = None):
+            # add itself as column
+            new_cols.append(self.alias(alias) if alias else self)
+        def expand(self,df):
+            array_col = _to_col_if_str(self.array_col, "values")
+            df = df.with_column("__IDX",F.seq8())
+            flatten = table_function("flatten")
+            seq=_generate_prefix("SEQ")
+            key=_generate_prefix("KEY")
+            path=_generate_prefix("PATH")
+            index=_generate_prefix("INDEX")
+            value=_generate_prefix("VALUE")
+            this=_generate_prefix("THIS")
+            df_values=df.join_table_function(flatten(input=array_col,outer=lit(True)).alias(seq,key,path,index,value,this)).group_by("__IDX").agg(F.array_agg(value).alias(self.special_col_name)).distinct()
+            df = df.join(df_values,on="__IDX").drop("__IDX")
+            return df
+
     class ArraySort(SpecialColumn):
         def __init__(self,array_col):
             super().__init__("sorted")
@@ -300,7 +321,11 @@ def _arrays_flatten(array_col,remove_arrays_when_there_is_a_null=True):
         return ArrayFlatten(array_col,remove_arrays_when_there_is_a_null)
     def _array_sort(array_col):
         return ArraySort(array_col)
+    def _map_values(col:ColumnOrName):
+        col = _to_col_if_str(col,"map_values")
+        return MapValues(col)
 
+    F.map_values = _map_values    
     F.arrays_zip = _arrays_zip
     F.flatten    = _arrays_flatten
     F.array_sort = _array_sort
diff --git a/tests/test_functions.py b/tests/test_functions.py
index e057f0e..98a6a66 100644
--- a/tests/test_functions.py
+++ b/tests/test_functions.py
@@ -3,9 +3,9 @@
 import snowpark_extensions
 from snowflake.snowpark import Session
 from snowflake.snowpark.types import *
-from snowflake.snowpark.functions import col,lit, sort_array, array_max, array_min
+from snowflake.snowpark.functions import col,lit, sort_array, array_max, array_min, map_values
 from snowflake.snowpark import functions as F
-
+import re
 
 def test_asc():
     session = Session.builder.from_snowsql().getOrCreate()
@@ -130,3 +130,21 @@ def test_array_min():
     res=df.select(array_min(df.data).alias('min')).collect()
     assert res[0].MIN == '1' and res[1].MIN == '-1'
     #[Row(min=1), Row(min=-1)]
+
+def test_map_values():
+    session = Session.builder.from_snowsql().getOrCreate()
+    df = session.sql("SELECT object_construct('1', 'a', '2', 'b') as data")
+    res = df.select(map_values("data").alias("values")).collect()
+    # +------+
+    # |values|
+    # +------+
+    # |[a, b]|
+    # +------+
+    assert len(res)==1
+    array=re.sub(r"\s","",res[0].VALUES)
+    assert array == '["a","b"]'
+    df = session.sql("SELECT object_construct('1', 'value1', '2', parse_json('null')) as data")
+    res = df.select(map_values("data").alias("values")).collect()
+    assert len(res)==1
+    array=re.sub(r"\s","",res[0].VALUES)
+    assert array == '["value1",null]'
\ No newline at end of file