DOC: Add 2 examples when creating Series and copy is False (pandas-dev#41423).

Original data unchanged when Series is a Copy,
but original data is changed when Series is a View.

Author: mdhsieh

pandas/core/series.py

@@ -223,9 +223,10 @@ class Series(base.IndexOpsMixin, generic.NDFrame):
     name : str, optional
         The name to give to the Series.
     copy : bool, default False
-        Copy input data. If False and the Series returns a `view` of the data,
-        the memory location for the values is shared. If False and the Series returns a `copy`
+        Copy input data. If False and the Series returns a `copy`
         of the data, the memory location for the values is not shared.
+        If False and the Series returns a `view` on the data,
+        the memory location for the values is shared.
 
     Examples
     --------
@@ -253,6 +254,34 @@ class Series(base.IndexOpsMixin, generic.NDFrame):
     Note that the Index is first build with the keys from the dictionary.
     After this the Series is reindexed with the given Index values, hence we
     get all NaN as a result.
+    
+    Constructing Series from an array with `copy=False`.
+    >>> r = [1,2]
+    >>> ser = pd.Series(r, copy=False)
+    >>> ser.iloc[0] = 999
+    >>> r
+    [1, 2]
+    >>> ser
+    0    999
+    1      2
+    dtype: int64
+    
+    The Series returns a `copy` of the original data, so
+    `r` is unchanged.
+    
+    Constructing Series from a `numpy.array` with `copy=False`.
+    >>> r = np.array([1,2])
+    >>> ser = pd.Series(r, copy=False)
+    >>> ser.iloc[0] = 999
+    >>> r
+    array([999,   2])
+    >>> ser
+    0    999
+    1      2
+    dtype: int32
+    
+    The Series returns a `view` on the original data, so
+    `r` is changed as well.
     """
 
     _typ = "series"