diff --git a/doc/source/_static/reshaping_melt.png b/doc/source/_static/reshaping_melt.png
index d0c4e77655e60..26daff22640b7 100644
Binary files a/doc/source/_static/reshaping_melt.png and b/doc/source/_static/reshaping_melt.png differ
diff --git a/doc/source/user_guide/reshaping.rst b/doc/source/user_guide/reshaping.rst
index f118fe84d523a..6d61523302f08 100644
--- a/doc/source/user_guide/reshaping.rst
+++ b/doc/source/user_guide/reshaping.rst
@@ -292,11 +292,11 @@ For instance,
 
    cheese = pd.DataFrame({'first': ['John', 'Mary'],
                           'last': ['Doe', 'Bo'],
-                          'height': [5.5, 6.0],
-                          'weight': [130, 150]})
+                          'A': [5.5, 6.0],
+                          'B': [7, 9]})
    cheese
    cheese.melt(id_vars=['first', 'last'])
-   cheese.melt(id_vars=['first', 'last'], var_name='quantity')
+   cheese.melt(id_vars=['first', 'last'], var_name='treatment')
 
 Another way to transform is to use the :func:`~pandas.wide_to_long` panel data
 convenience function. It is less flexible than :func:`~pandas.melt`, but more