diff --git a/pandas/_libs/tslibs/offsets.pyx b/pandas/_libs/tslibs/offsets.pyx
index 8bdd3d6ac259e..7a16bdb15ab5d 100644
--- a/pandas/_libs/tslibs/offsets.pyx
+++ b/pandas/_libs/tslibs/offsets.pyx
@@ -2477,11 +2477,57 @@ cdef class MonthEnd(MonthOffset):
     """
     DateOffset of one month end.
 
+    Parameters
+    ----------
+    n : int, default 1
+        n = 0 -> offset to the end of month.
+        n = 1 -> depend on the given date:
+            a) Given date is on an anchor point (last day of the month) -> offset to the end of the following month.
+            b) Given date is not on an anchor point -> offset to the end of the same month.
+    
     Examples
     --------
+    Offset to the end of the month:
+    
     >>> ts = pd.Timestamp(2022, 1, 1)
     >>> ts + pd.offsets.MonthEnd()
     Timestamp('2022-01-31 00:00:00')
+    
+    However be careful, if given date is the last day of a month, method offsets to the end of the following month:
+    
+    >>> ts = pd.Timestamp(2022, 1, 31)
+    >>> ts + pd.offsets.MonthEnd()
+    Timestamp('2022-02-28 00:00:00')
+    
+    With the ``n`` parameter, we can control logic of offset.
+    
+    See below, when ``n`` is set to 0, offset is always made to the end of the current month:
+    
+    >>> ts = pd.Timestamp(2022, 1, 31)
+    >>> ts + pd.offsets.MonthEnd(n=0)
+    Timestamp('2022-01-31 00:00:00')
+    
+    When ``n`` is set to 1 (default) it will be moved to the following month:
+    
+    >>> ts = pd.Timestamp(2022, 1, 31)
+    >>> ts + pd.offsets.MonthEnd(n=1)
+    Timestamp('2022-02-28 00:00:00')
+    
+    When ``n`` is set to 2, method offsets one additional month. And again depends whether given date is on an anchor point:
+    
+    >>> ts = pd.Timestamp(2022, 1, 1)
+    >>> ts + pd.offsets.MonthEnd(n=2)
+    Timestamp('2022-02-28 00:00:00')
+    
+    >>> ts = pd.Timestamp(2022, 1, 31)
+    >>> ts + pd.offsets.MonthEnd(n=2)
+    Timestamp('2022-03-31 00:00:00')
+    
+    Also we can use negative ``n`` to find end of previous months:
+    
+    >>> ts = pd.Timestamp(2022, 1, 31)
+    >>> ts + pd.offsets.MonthEnd(n=-1)
+    Timestamp('2021-12-31 00:00:00')
     """
     _period_dtype_code = PeriodDtypeCode.M
     _prefix = "M"