diff --git a/pandas/core/series.py b/pandas/core/series.py
index a3e4c3bb30346..19a9a0cf3da0f 100644
--- a/pandas/core/series.py
+++ b/pandas/core/series.py
@@ -547,6 +547,71 @@ def __len__(self):
         return len(self._data)
 
     def view(self, dtype=None):
+        """
+        Create a new view of the Series.
+
+        This function will return a new Series with a view of the same
+        underlying values in memory, optionally reinterpreted with a new data
+        type. The new data type must preserve the same size in bytes as to not
+        cause index misalignment.
+
+        Parameters
+        ----------
+        dtype : data type
+            Data type object or one of their string representations.
+
+        Returns
+        -------
+        Series
+            A new Series object as a view of the same data in memory.
+
+        See Also
+        --------
+        numpy.ndarray.view : Equivalent numpy function to create a new view of
+            the same data in memory.
+
+        Notes
+        -----
+        Series are instantiated with ``dtype=float64`` by default. While
+        ``numpy.ndarray.view()`` will return a view with the same data type as
+        the original array, ``Series.view()`` (without specified dtype)
+        will try using ``float64`` and may fail if the original data type size
+        in bytes is not the same.
+
+        Examples
+        --------
+        >>> s = pd.Series([-2, -1, 0, 1, 2], dtype='int8')
+        >>> s
+        0   -2
+        1   -1
+        2    0
+        3    1
+        4    2
+        dtype: int8
+
+        The 8 bit signed integer representation of `-1` is `0b11111111`, but
+        the same bytes represent 255 if read as an 8 bit unsigned integer:
+
+        >>> us = s.view('uint8')
+        >>> us
+        0    254
+        1    255
+        2      0
+        3      1
+        4      2
+        dtype: uint8
+
+        The views share the same underlying values:
+
+        >>> us[0] = 128
+        >>> s
+        0   -128
+        1     -1
+        2      0
+        3      1
+        4      2
+        dtype: int8
+        """
         return self._constructor(self._values.view(dtype),
                                  index=self.index).__finalize__(self)