<div><h4id="3ifneithernonmatchingdimensionhassize1riseanerror">3. If neither non-matching dimension has size 1, rise an error.</h4><div><h3id="example-2">Example</h3><div><h4id="foreachpointreturnsindexofitsnearestpoint010608121">For each point returns index of its nearest point (<codeclass="python hljs">[<spanclass="hljs-number">0.1</span>, <spanclass="hljs-number">0.6</span>, <spanclass="hljs-number">0.8</span>] => [<spanclass="hljs-number">1</span>, <spanclass="hljs-number">2</span>, <spanclass="hljs-number">1</span>]</code>):</h4><pre><codeclass="python language-python hljs"><spanclass="hljs-meta">>>></span>points = np.array([<spanclass="hljs-number">0.1</span>, <spanclass="hljs-number">0.6</span>, <spanclass="hljs-number">0.8</span>])
<div><h4id="3ifneithernonmatchingdimensionhassize1riseanerror">3. If neither non-matching dimension has size 1, rise an error.</h4><div><h3id="example-3">Example</h3><div><h4id="foreachpointreturnsindexofitsnearestpoint010608121">For each point returns index of its nearest point (<codeclass="python hljs">[<spanclass="hljs-number">0.1</span>, <spanclass="hljs-number">0.6</span>, <spanclass="hljs-number">0.8</span>] => [<spanclass="hljs-number">1</span>, <spanclass="hljs-number">2</span>, <spanclass="hljs-number">1</span>]</code>):</h4><pre><codeclass="python language-python hljs"><spanclass="hljs-meta">>>></span>points = np.array([<spanclass="hljs-number">0.1</span>, <spanclass="hljs-number">0.6</span>, <spanclass="hljs-number">0.8</span>])