DOCS: update array_with_unit_to_datetime docstring

Author: AlexKirko

pandas/_libs/tslib.pyx

@@ -299,14 +299,30 @@ def format_array_from_datetime(ndarray[int64_t] values, object tz=None,
 def array_with_unit_to_datetime(ndarray values, object unit,
                                 str errors='coerce', ndarray mask=None):
     """
-    convert the ndarray according to the unit
+    Convert the ndarray to datetime according to the time unit.
+    
+    This function converts an array of objects into a numpy array of
+    datetime64[ns]. It returns the converted array
+    and also returns the timezone offset
+    
     if errors:
       - raise: return converted values or raise OutOfBoundsDatetime
           if out of range on the conversion or
           ValueError for other conversions (e.g. a string)
       - ignore: return non-convertible values as the same unit
       - coerce: NaT for non-convertibles
-
+    
+    Parameters
+    ----------
+    values : ndarray of object
+         Date-like objects to convert
+    unit : object
+         Time unit to use during conversion
+    mask : ndarray of bool, default None
+         Not-a-time mask for non-nullable integer types conversion
+    errors : str, default 'raise'
+         Error behavior when parsing
+    
     Returns
     -------
     result : ndarray of m8 values