Amend list_ to array_ in documentation

docs/source/user-guide/common-operations/expressions.rst

@@ -110,31 +110,31 @@ This function returns an integer indicating the total number of elements in the
 
 In this example, the `num_elements` column will contain `3` for both rows.
 
-To concatenate two arrays, you can use the function :py:func:`datafusion.functions.list_cat` or :py:func:`datafusion.functions.list_concat`.
+To concatenate two arrays, you can use the function :py:func:`datafusion.functions.array_cat` or :py:func:`datafusion.functions.array_concat`.
 These functions return a new array that is the concatenation of the input arrays.
 
 .. ipython:: python
 
     from datafusion import SessionContext, col
-    from datafusion.functions import list_cat, list_concat
+    from datafusion.functions import array_cat, array_concat
 
     ctx = SessionContext()
     df = ctx.from_pydict({"a": [[1, 2, 3]], "b": [[4, 5, 6]]})
-    df.select(list_cat(col("a"), col("b")).alias("concatenated_array"))
+    df.select(array_cat(col("a"), col("b")).alias("concatenated_array"))
 
 In this example, the `concatenated_array` column will contain `[1, 2, 3, 4, 5, 6]`.
 
-To repeat the elements of an array a specified number of times, you can use the function :py:func:`datafusion.functions.list_repeat`.
+To repeat the elements of an array a specified number of times, you can use the function :py:func:`datafusion.functions.array_repeat`.
 This function returns a new array with the elements repeated.
 
 .. ipython:: python
 
     from datafusion import SessionContext, col, literal
-    from datafusion.functions import list_repeat
+    from datafusion.functions import array_repeat
 
     ctx = SessionContext()
     df = ctx.from_pydict({"a": [[1, 2, 3]]})
-    df.select(list_repeat(col("a"), literal(2)).alias("repeated_array"))
+    df.select(array_repeat(col("a"), literal(2)).alias("repeated_array"))
 
 In this example, the `repeated_array` column will contain `[[1, 2, 3], [1, 2, 3]]`.