NumPy indexing

README.md

@@ -2680,6 +2680,7 @@ import numpy as np
 <1d/2d_a>  = <2d_array>[<2d/1d_bools>]                  # 1d_bools must have size of a column.
 ```
 * **Indexes should not be tuples because Python converts `'obj[i, j]'`  to `'obj[(i, j)]'`.**
+* **Any value that is broadcastable to the indexed shape can be assigned to the selection.**
 
 ### Broadcasting
 **Set of rules by which NumPy functions operate on arrays of different sizes and/or dimensions.**

index.html

@@ -2194,6 +2194,7 @@ drawer = cg.output.GraphvizOutput(output_file=filename)
 </code></pre>
 <ul>
 <li><strong>Indexes should not be tuples because Python converts <code class="python hljs"><span class="hljs-string">'obj[i, j]'</span></code>  to <code class="python hljs"><span class="hljs-string">'obj[(i, j)]'</span></code>.</strong></li>
+<li><strong>Any value that is broadcastable to the indexed shape can be assigned to the selection.</strong></li>
 </ul>
 <div><h3 id="broadcasting">Broadcasting</h3><p><strong>Set of rules by which NumPy functions operate on arrays of different sizes and/or dimensions.</strong></p><pre><code class="python language-python hljs">left  = [[<span class="hljs-number">0.1</span>], [<span class="hljs-number">0.6</span>], [<span class="hljs-number">0.8</span>]]                           <span class="hljs-comment"># Shape: (3, 1)</span>
 right = [ <span class="hljs-number">0.1</span> ,  <span class="hljs-number">0.6</span> ,  <span class="hljs-number">0.8</span> ]                           <span class="hljs-comment"># Shape: (3,)</span>