NumPy

README.md

@@ -2599,7 +2599,7 @@ right = [[0.1, 0.6, 0.8], [0.1, 0.6, 0.8], [0.1, 0.6, 0.8]]  # Shape: (3, 3) <-
 
 ```python
 >>> points = np.array([0.1, 0.6, 0.8])
-[ 0.1,  0.6,  0.8]
+ [ 0.1,  0.6,  0.8]
 >>> wrapped_points = points.reshape(3, 1)
 [[ 0.1],
  [ 0.6],

index.html

@@ -2214,7 +2214,7 @@ right = [[<span class="hljs-number">0.1</span>, <span class="hljs-number">0.6</s
 </code></pre></div>
 
 <div><h4 id="3ifneithernonmatchingdimensionhassize1riseanerror">3. If neither non-matching dimension has size 1, rise an error.</h4><div><h3 id="example-2">Example</h3><div><h4 id="foreachpointreturnsindexofitsnearestpoint010608121">For each point returns index of its nearest point (<code class="python hljs">[<span class="hljs-number">0.1</span>, <span class="hljs-number">0.6</span>, <span class="hljs-number">0.8</span>] =&gt; [<span class="hljs-number">1</span>, <span class="hljs-number">2</span>, <span class="hljs-number">1</span>]</code>):</h4><pre><code class="python language-python hljs"><span class="hljs-meta">&gt;&gt;&gt; </span>points = np.array([<span class="hljs-number">0.1</span>, <span class="hljs-number">0.6</span>, <span class="hljs-number">0.8</span>])
-[ <span class="hljs-number">0.1</span>,  <span class="hljs-number">0.6</span>,  <span class="hljs-number">0.8</span>]
+ [ <span class="hljs-number">0.1</span>,  <span class="hljs-number">0.6</span>,  <span class="hljs-number">0.8</span>]
 <span class="hljs-meta">&gt;&gt;&gt; </span>wrapped_points = points.reshape(<span class="hljs-number">3</span>, <span class="hljs-number">1</span>)
 [[ <span class="hljs-number">0.1</span>],
  [ <span class="hljs-number">0.6</span>],