diff --git a/doc/source/whatsnew/v1.2.0.rst b/doc/source/whatsnew/v1.2.0.rst
index 2aac2596c18cb..f6262e2759ff6 100644
--- a/doc/source/whatsnew/v1.2.0.rst
+++ b/doc/source/whatsnew/v1.2.0.rst
@@ -104,7 +104,7 @@ Other enhancements
 - Added :meth:`~DataFrame.set_flags` for setting table-wide flags on a ``Series`` or ``DataFrame`` (:issue:`28394`)
 - :class:`Index` with object dtype supports division and multiplication (:issue:`34160`)
 - :meth:`DataFrame.explode` and :meth:`Series.explode` now support exploding of sets (:issue:`35614`)
--
+- Added :meth:`~DataFrame.peek` and :meth:`~Series.peek` to simultaneously check head and tail rows (:issue:`18691`)
 
 .. _whatsnew_120.api_breaking.python:
 
diff --git a/pandas/core/generic.py b/pandas/core/generic.py
index fffd2e068ebcf..329badf59c339 100644
--- a/pandas/core/generic.py
+++ b/pandas/core/generic.py
@@ -4994,6 +4994,95 @@ def tail(self: FrameOrSeries, n: int = 5) -> FrameOrSeries:
             return self.iloc[0:0]
         return self.iloc[-n:]
 
+    def peek(self: FrameOrSeries, n: int = 5) -> FrameOrSeries:
+        """
+        Return the first `n` rows and the last `n` rows.
+
+        This function returns the first `n` rows and the last `n` rows from the
+        object based on position. It is useful for quickly verifying data, for
+        example, after sorting or appending rows.
+
+        For negative values of `n`, this function returns all rows except
+        the first `n` rows and last `n` rows, equivalent to ``df[n:-n]``.
+
+        Parameters
+        ----------
+        n : int, default 5
+            Number of rows to select from head and tail.
+
+        Returns
+        -------
+        type of caller
+            The first `n` rows and last `n` rows of the caller object.
+
+        See Also
+        --------
+        DataFrame.head : The first `n` rows of the caller object.
+        DataFrame.tail : The last `n` rows of the caller object.
+
+        Examples
+        --------
+        >>> df = pd.DataFrame({'animal': ['alligator', 'bee', 'falcon', 'lion',
+        ...                    'monkey', 'parrot', 'shark', 'whale', 'zebra']})
+        >>> df
+              animal
+        0  alligator
+        1        bee
+        2     falcon
+        3       lion
+        4     monkey
+        5     parrot
+        6      shark
+        7      whale
+        8      zebra
+
+        Peeking at the first 5 and last 5 rows
+
+        >>> df.peek()
+           animal
+        0  alligator
+        1  bee
+        2  falcon
+        3  lion
+        4  monkey
+        5  parrot
+        6  shark
+        7  whale
+        8  zebra
+
+        Viewing the first and last `n` lines (three in this case)
+
+        >>> df.peek(3)
+          animal
+        0  alligator
+        1  bee
+        2  falcon
+        6  shark
+        7  whale
+        8  zebra
+
+        For negative values of `n`
+
+        >>> df.peek(-3)
+           animal
+        3    lion
+        4  monkey
+        5  parrot
+        """
+        if n == 0:
+            return self.iloc[0:0]
+
+        # To avoid duplication of rows, we check if the head and tail combined
+        # would be greater than the size of the dataframe
+        elif n > self.shape[0] / 2:
+            return self
+
+        # When abs(n) > self.shape[0]/2, this returns nothing
+        elif n < 0:
+            return self.iloc[abs(n):n]
+
+        return pd.concat([self.iloc[:n], self.iloc[-n:]], axis=0)
+
     def sample(
         self: FrameOrSeries,
         n=None,
diff --git a/pandas/tests/generic/test_generic.py b/pandas/tests/generic/test_generic.py
index 2c2584e8dee01..ebbaf75e6ceda 100644
--- a/pandas/tests/generic/test_generic.py
+++ b/pandas/tests/generic/test_generic.py
@@ -251,7 +251,7 @@ def test_metadata_propagation(self):
             self.check_metadata(v1 & v2)
             self.check_metadata(v1 | v2)
 
-    def test_head_tail(self, index):
+    def test_head_tail_peek(self, index):
         # GH5370
 
         o = self._construct(shape=len(index))
@@ -263,18 +263,25 @@ def test_head_tail(self, index):
 
         self._compare(o.head(), o.iloc[:5])
         self._compare(o.tail(), o.iloc[-5:])
+        if o.shape[0] >= 10:
+            self._compare(o.peek(), pd.concat([o.iloc[:5], o.iloc[-5:]], axis=0))
+        else:
+            self._compare(o.peek(), o)
 
         # 0-len
         self._compare(o.head(0), o.iloc[0:0])
         self._compare(o.tail(0), o.iloc[0:0])
+        self._compare(o.peek(0), o.iloc[0:0])
 
         # bounded
         self._compare(o.head(len(o) + 1), o)
         self._compare(o.tail(len(o) + 1), o)
+        self._compare(o.peek(len(o) // 2 + 1), o)
 
         # neg index
         self._compare(o.head(-3), o.head(len(index) - 3))
         self._compare(o.tail(-3), o.tail(len(index) - 3))
+        self._compare(o.peek(-3), o.iloc[3:-3])
 
     def test_sample(self):
         # Fixes issue: 2419