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<section id="module-wonambi.ioeeg.text">
<span id="wonambi-ioeeg-text-module"></span><h1>wonambi.ioeeg.text module<a class="headerlink" href="#module-wonambi.ioeeg.text" title="Permalink to this heading"></a></h1>
<p>Class to import straight text records.</p>
<dl class="py class">
<dt class="sig sig-object py" id="wonambi.ioeeg.text.Text">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">wonambi.ioeeg.text.</span></span><span class="sig-name descname"><span class="pre">Text</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rec_dir</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/wonambi/ioeeg/text.html#Text"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#wonambi.ioeeg.text.Text" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
<p>Class to read text format records. The record consists of a directory
containing txt files. Each file is a channel. The first line of each file
is the sampling rate, and the following lines are single data points,
in scientific notation.
Only supports a single sampling rate for all channels.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
<dd class="field-odd"><p><strong>rec_dir</strong> (<em>path to record directory</em>) – the folder containing the record</p>
</dd>
</dl>
<p class="rubric">Notes</p>
<p>Text is a very slow format for reading data. It is best to use this class
to import the record, then to export is as a Wonambi (.won) file, and use
that for reading.</p>
<dl class="py method">
<dt class="sig sig-object py" id="wonambi.ioeeg.text.Text.return_dat">
<span class="sig-name descname"><span class="pre">return_dat</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">chan</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">begsam</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">endsam</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/wonambi/ioeeg/text.html#Text.return_dat"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#wonambi.ioeeg.text.Text.return_dat" title="Permalink to this definition"></a></dt>
<dd><p>Return the data as 2D numpy.ndarray.</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>chan</strong> (<em>list</em><em> of </em><em>int</em>) – index (indices) of the channels to read</p></li>
<li><p><strong>begsam</strong> (<em>int</em>) – index of the first sample (inclusively)</p></li>
<li><p><strong>endsam</strong> (<em>int</em>) – index of the last sample (exclusively)</p></li>
</ul>
</dd>
<dt class="field-even">Returns<span class="colon">:</span></dt>
<dd class="field-even"><p><em>numpy.ndarray</em> – A 2d matrix, with dimension chan X samples.</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="wonambi.ioeeg.text.Text.return_hdr">
<span class="sig-name descname"><span class="pre">return_hdr</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/wonambi/ioeeg/text.html#Text.return_hdr"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#wonambi.ioeeg.text.Text.return_hdr" title="Permalink to this definition"></a></dt>
<dd><p>Return the header for further use.</p>
<dl class="field-list simple">
<dt class="field-odd">Returns<span class="colon">:</span></dt>
<dd class="field-odd"><p><ul class="simple">
<li><p><strong>subj_id</strong> (<em>str</em>) – subject identification code</p></li>
<li><p><strong>start_time</strong> (<em>datetime</em>) – start time of the dataset</p></li>
<li><p><strong>s_freq</strong> (<em>float</em>) – sampling frequency</p></li>
<li><p><strong>chan_name</strong> (<em>list of str</em>) – list of all the channels</p></li>
<li><p><strong>n_samples</strong> (<em>int</em>) – number of samples in the dataset</p></li>
<li><p><strong>orig</strong> (<em>dict</em>) – the full header</p></li>
</ul>
</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="wonambi.ioeeg.text.Text.return_markers">
<span class="sig-name descname"><span class="pre">return_markers</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/wonambi/ioeeg/text.html#Text.return_markers"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#wonambi.ioeeg.text.Text.return_markers" title="Permalink to this definition"></a></dt>
<dd><p>There are no markers in this format.</p>
</dd></dl>
</dd></dl>
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