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 ```
 * **Methods ffill(), interpolate() and fillna() accept argument 'inplace' that defaults to False.**
 * **Last result has a hierarchical index. Use `'<Sr>[key_1, key_2]'` to get its values.**
-* **Keys, indexes and bools can't be tuples because `'obj[x, y]'` becomes `'obj[(x, y)]'`.**
+* **Keys/indexes/bools can't be tuples because `'obj[x, y]'` is converted to `'obj[(x, y)]'`.**
 
 ### DataFrame
 **Table with labeled rows and columns.**
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 <ul>
 <li><strong>Methods ffill(), interpolate() and fillna() accept argument 'inplace' that defaults to False.</strong></li>
 <li><strong>Last result has a hierarchical index. Use <code class="python hljs"><span class="hljs-string">'&lt;Sr&gt;[key_1, key_2]'</span></code> to get its values.</strong></li>
-<li><strong>Keys, indexes and bools can't be tuples because <code class="python hljs"><span class="hljs-string">'obj[x, y]'</span></code> becomes <code class="python hljs"><span class="hljs-string">'obj[(x, y)]'</span></code>.</strong></li>
+<li><strong>Keys/indexes/bools can't be tuples because <code class="python hljs"><span class="hljs-string">'obj[x, y]'</span></code> is converted to <code class="python hljs"><span class="hljs-string">'obj[(x, y)]'</span></code>.</strong></li>
 </ul>
 <div><h3 id="dataframe">DataFrame</h3><p><strong>Table with labeled rows and columns.</strong></p><pre><code class="python language-python hljs"><span class="hljs-meta">&gt;&gt;&gt; </span>pd.DataFrame([[<span class="hljs-number">1</span>, <span class="hljs-number">2</span>], [<span class="hljs-number">3</span>, <span class="hljs-number">4</span>]], index=[<span class="hljs-string">'a'</span>, <span class="hljs-string">'b'</span>], columns=[<span class="hljs-string">'x'</span>, <span class="hljs-string">'y'</span>])
    x  y