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<li><a class="reference internal" href="#">deepof.utils.load_table</a><ul>
<li><a class="reference internal" href="#deepof.utils.load_table"><code class="docutils literal notranslate"><span class="pre">load_table()</span></code></a></li>
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<section id="deepof-utils-load-table">
<h1>deepof.utils.load_table<a class="headerlink" href="#deepof-utils-load-table" title="Permalink to this heading"></a></h1>
<dl class="py function">
<dt class="sig sig-object py" id="deepof.utils.load_table">
<span class="sig-prename descclassname"><span class="pre">deepof.utils.</span></span><span class="sig-name descname"><span class="pre">load_table</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">tab</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">table_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">table_format</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rename_bodyparts</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">list</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">animal_ids</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">list</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#deepof.utils.load_table" title="Permalink to this definition"></a></dt>
<dd><p>Loads a table into a structured pandas data frame.</p>
<p>Supports inputs from both DeepLabCut and (S)LEAP.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>tab</strong> (<em>str</em>) – Name of the file containing the tracks.</p></li>
<li><p><strong>table_path</strong> (<em>string</em>) – Full path to the file containing the tracks.</p></li>
<li><p><strong>table_format</strong> (<em>str</em>) – type of the files to load, coming from either DeepLabCut (CSV and H5) and (S)LEAP (NPY).</p></li>
<li><p><strong>rename_bodyparts</strong> (<em>list</em>) – list of names to use for the body parts in the provided tracking files. The order should match that of the columns in your DLC tables or the node dimensions on your (S)LEAP .npy files.</p></li>
</ul>
</dd>
<dt class="field-even">Returns<span class="colon">:</span></dt>
<dd class="field-even"><p>Data frame containing the loaded tracks. Likelihood for (S)LEAP files is imputed as 1.0 (tracked values) or 0.0 (missing values).</p>
</dd>
<dt class="field-odd">Return type<span class="colon">:</span></dt>
<dd class="field-odd"><p>loaded_tab (pd.DataFrame)</p>
</dd>
</dl>
</dd></dl>
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