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diff --git a/doc/source/options.rst b/doc/source/options.rst
index 46ff2b6e5c343..bb78b29d7f205 100644
--- a/doc/source/options.rst
+++ b/doc/source/options.rst
@@ -454,10 +454,14 @@ Unicode Formatting
 Some East Asian countries use Unicode characters its width is corresponding to 2 alphabets.
 If DataFrame or Series contains these characters, default output cannot be aligned properly.
 
+.. note:: Screen captures are attached for each outputs to show the actual results.
+
 .. ipython:: python
 
    df = pd.DataFrame({u'国籍': ['UK', u'日本'], u'名前': ['Alice', u'しのぶ']})
-   df
+   df;
+
+.. image:: _static/option_unicode01.png
 
 Enable ``display.unicode.east_asian_width`` allows pandas to check each character's "East Asian Width" property.
 These characters can be aligned properly by checking this property, but it takes longer time than standard ``len`` function.
@@ -465,31 +469,32 @@ These characters can be aligned properly by checking this property, but it takes
 .. ipython:: python
 
    pd.set_option('display.unicode.east_asian_width', True)
-   df
+   df;
+
+.. image:: _static/option_unicode02.png
 
 In addition, Unicode contains characters which width is "Ambiguous". These character's width should be either 1 or 2 depending on terminal setting or encoding. Because this cannot be distinguished from Python, ``display.unicode.ambiguous_as_wide`` option is added to handle this.
 
 By default, "Ambiguous" character's width, "¡" (inverted exclamation) in below example, is regarded as 1.
 
-.. note::
-
-   This should be aligned properly in terminal which uses monospaced font.
-
 .. ipython:: python
 
    df = pd.DataFrame({'a': ['xxx', u'¡¡'], 'b': ['yyy', u'¡¡']})
-   df
+   df;
+
+.. image:: _static/option_unicode03.png
 
 Enabling ``display.unicode.ambiguous_as_wide`` lets pandas to regard these character's width as 2. Note that this option will be effective only when ``display.unicode.east_asian_width`` is enabled. Confirm starting position has been changed, but not aligned properly because the setting is mismatched with this environment.
 
 .. ipython:: python
 
    pd.set_option('display.unicode.ambiguous_as_wide', True)
-   df
+   df;
+
+.. image:: _static/option_unicode04.png
 
 .. ipython:: python
    :suppress:
 
    pd.set_option('display.unicode.east_asian_width', False)
    pd.set_option('display.unicode.ambiguous_as_wide', False)
-
diff --git a/doc/source/whatsnew/v0.17.0.txt b/doc/source/whatsnew/v0.17.0.txt
index 1e240d0786082..ab9cc17a3f990 100644
--- a/doc/source/whatsnew/v0.17.0.txt
+++ b/doc/source/whatsnew/v0.17.0.txt
@@ -353,10 +353,16 @@ Some East Asian countries use Unicode characters its width is corresponding to 2
 .. ipython:: python
 
    df = pd.DataFrame({u'国籍': ['UK', u'日本'], u'名前': ['Alice', u'しのぶ']})
-   df
+   df;
+
+.. image:: _static/option_unicode01.png
+
+.. ipython:: python
 
    pd.set_option('display.unicode.east_asian_width', True)
-   df
+   df;
+
+.. image:: _static/option_unicode02.png
 
 For further details, see :ref:`here <options.east_asian_width>`