<li><strong>Methods ffill(), interpolate(), fillna() and dropna() accept <codeclass="python hljs"><spanclass="hljs-string">'inplace=True'</span></code>.</strong></li>
<li><strong>Agg/transform() pass Series to functions that raise Type/Value/AttrError on single item.</strong></li>
<li><strong>Agg() and transform() pass a Series to a function if it raises Type/Val/AttrError on a scalar.</strong></li>
<li><strong>Last result has a multi-index. Use <codeclass="python hljs"><spanclass="hljs-string">'<S>[key_1, key_2]'</span></code> to get its values.</strong></li>
</ul>
<div><h3id="dataframe">DataFrame</h3><p><strong>Table with labeled rows and columns.</strong></p><pre><codeclass="python language-python hljs"><spanclass="hljs-meta">>>></span>df = pd.DataFrame([[<spanclass="hljs-number">1</span>, <spanclass="hljs-number">2</span>], [<spanclass="hljs-number">3</span>, <spanclass="hljs-number">4</span>]], index=[<spanclass="hljs-string">'a'</span>, <spanclass="hljs-string">'b'</span>], columns=[<spanclass="hljs-string">'x'</span>, <spanclass="hljs-string">'y'</span>]); df
@ -2924,7 +2924,7 @@ $ deactivate <span class="hljs-comment"># Deactivates the active
Jure Šorn
4 months ago
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