Pandas

README.md

@@ -3268,7 +3268,7 @@ b  3  4
 ```
 
 ```python
-<DF>   = <DF>.head/tail/sample(<int>)          # Returns first, last, or random n elements.
+<DF>   = <DF>.head/tail/sample(<int>)          # Returns first, last, or random n rows.
 <DF>   = <DF>.describe()                       # Describes columns. Also shape, info(), corr().
 <DF>   = <DF>.query('<query>')                 # Filters rows with e.g. 'col_1 == val_1 and …'.
 ```

index.html

@@ -2658,7 +2658,7 @@ b  <span class="hljs-number">3</span>  <span class="hljs-number">4</span>
 &lt;DF&gt;   = &lt;DF&gt;.sort_index(ascending=<span class="hljs-keyword">True</span>)       <span class="hljs-comment"># Sorts rows by row keys. Use `axis=1` for cols.</span>
 &lt;DF&gt;   = &lt;DF&gt;.sort_values(col_key/s)           <span class="hljs-comment"># Sorts rows by passed column/s. Also `axis=1`.</span>
 </code></pre>
-<pre><code class="python language-python hljs">&lt;DF&gt;   = &lt;DF&gt;.head/tail/sample(&lt;int&gt;)          <span class="hljs-comment"># Returns first, last, or random n elements.</span>
+<pre><code class="python language-python hljs">&lt;DF&gt;   = &lt;DF&gt;.head/tail/sample(&lt;int&gt;)          <span class="hljs-comment"># Returns first, last, or random n rows.</span>
 &lt;DF&gt;   = &lt;DF&gt;.describe()                       <span class="hljs-comment"># Describes columns. Also shape, info(), corr().</span>
 &lt;DF&gt;   = &lt;DF&gt;.query(<span class="hljs-string">'&lt;query&gt;'</span>)                 <span class="hljs-comment"># Filters rows with e.g. 'col_1 == val_1 and …'.</span>
 </code></pre>