deploy: 3e05a69

Author: DominiqueMakowski

.doctrees/environment.pickle

@@ -1628,6 +1628,10 @@ <h1>Source code for neurokit2.ecg.ecg_findpeaks</h1><div class="highlight"><pre>
     <span class="n">weights</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="n">N</span><span class="p">)</span>  <span class="c1"># Empty array to store the weights</span>
     <span class="n">BETA</span> <span class="o">=</span> <span class="mf">0.55</span>  <span class="c1"># Target number of nonzero elements in the resulting weight vector</span>
 
+    <span class="c1"># if the input signal is flat, return an empty array, otherwise the visiblity graph will fail</span>
+    <span class="k">if</span> <span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">signal</span><span class="p">)</span> <span class="o">==</span> <span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="n">signal</span><span class="p">):</span>
+        <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([])</span>
+
     <span class="c1"># If input length is smaller than window, compute only one segment of this length</span>
     <span class="k">if</span> <span class="n">N</span> <span class="o">&lt;</span> <span class="n">M</span><span class="p">:</span>
         <span class="n">M</span><span class="p">,</span> <span class="n">R</span> <span class="o">=</span> <span class="n">N</span><span class="p">,</span> <span class="n">N</span>

.doctrees/examples/bio_custom/bio_custom.doctree

@@ -495,7 +495,7 @@ <h2>The Default NeuroKit processing pipeline<a class="headerlink" href="#the-def
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../../_images/5a80adf138e262603724842db8d3f48755c139ce2e4fbaa72a96817ce4dd09d3.png" src="../../_images/5a80adf138e262603724842db8d3f48755c139ce2e4fbaa72a96817ce4dd09d3.png" />
+<img alt="../../_images/ae53897c6480389c8a6d74ed357be669508743550f7f11d180488dae16c0e5c4.png" src="../../_images/ae53897c6480389c8a6d74ed357be669508743550f7f11d180488dae16c0e5c4.png" />
 </div>
 </div>
 </section>
@@ -543,7 +543,7 @@ <h2>Building your own <code class="docutils literal notranslate"><span class="pr
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../../_images/25f284a53b09b9b337b97d1ec97c0cdced9922bf31f1905a5920e4dbfad16773.png" src="../../_images/25f284a53b09b9b337b97d1ec97c0cdced9922bf31f1905a5920e4dbfad16773.png" />
+<img alt="../../_images/8f9566115a1c493c23e1c85314ff232700370018040d51a644a2512101ecf485.png" src="../../_images/8f9566115a1c493c23e1c85314ff232700370018040d51a644a2512101ecf485.png" />
 </div>
 </div>
 </section>
@@ -635,7 +635,7 @@ <h2>Customize even more!<a class="headerlink" href="#customize-even-more" title=
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../../_images/831ed8c1ca2e99a067f869fb3dd2bc512a4b7951cab64fd75abf990dd2d2f68c.png" src="../../_images/831ed8c1ca2e99a067f869fb3dd2bc512a4b7951cab64fd75abf990dd2d2f68c.png" />
+<img alt="../../_images/ec4634aac3b8632aecc711c7b8b327f28a14c00dbd48dea99e90a4f62d737fd6.png" src="../../_images/ec4634aac3b8632aecc711c7b8b327f28a14c00dbd48dea99e90a4f62d737fd6.png" />
 </div>
 </div>
 <p>This doesn’t look bad :) <strong>Can you do better?</strong></p>

.doctrees/examples/bio_eventrelated/bio_eventrelated.doctree

@@ -530,7 +530,7 @@ <h2>Find Events<a class="headerlink" href="#find-events" title="Link to this hea
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../../_images/4f6361f3a1bdac5a161b1f0f97065defa1514812a52eed9367a5a5a035e46181.png" src="../../_images/4f6361f3a1bdac5a161b1f0f97065defa1514812a52eed9367a5a5a035e46181.png" />
+<img alt="../../_images/9d36a4e7989dc9be23e00f43be2bf1236ac552fffcec4463921015427846e247.png" src="../../_images/9d36a4e7989dc9be23e00f43be2bf1236ac552fffcec4463921015427846e247.png" />
 </div>
 </div>
 <p>The output of <a class="reference external" href="https://neuropsychology.github.io/NeuroKit/functions/functions_events.html#events-plot">events_plot()</a> shows the corresponding events in the signal, with the blue dashed line representing a Negative event and red dashed line representing a Neutral event.</p>
@@ -641,11 +641,11 @@ <h2>Manually Extract Event Related Features<a class="headerlink" href="#manually
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>C:\Users\runneradmin\AppData\Local\Temp\ipykernel_1512\4246861920.py:12: FutureWarning: The behavior of obj[i:j] with a float-dtype index is deprecated. In a future version, this will be treated as positional instead of label-based. For label-based slicing, use obj.loc[i:j] instead
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>C:\Users\runneradmin\AppData\Local\Temp\ipykernel_2548\4246861920.py:12: FutureWarning: The behavior of obj[i:j] with a float-dtype index is deprecated. In a future version, this will be treated as positional instead of label-based. For label-based slicing, use obj.loc[i:j] instead
   ecg_mean = epoch[&quot;ECG_Rate&quot;][0:4].mean()  # Mean heart rate in the 0-4 seconds
-C:\Users\runneradmin\AppData\Local\Temp\ipykernel_1512\4246861920.py:18: FutureWarning: The behavior of obj[i:j] with a float-dtype index is deprecated. In a future version, this will be treated as positional instead of label-based. For label-based slicing, use obj.loc[i:j] instead
+C:\Users\runneradmin\AppData\Local\Temp\ipykernel_2548\4246861920.py:18: FutureWarning: The behavior of obj[i:j] with a float-dtype index is deprecated. In a future version, this will be treated as positional instead of label-based. For label-based slicing, use obj.loc[i:j] instead
   rsp_rate = epoch[&quot;RSP_Rate&quot;][0:6].mean()  # Longer window for RSP that has a slower dynamic
-C:\Users\runneradmin\AppData\Local\Temp\ipykernel_1512\4246861920.py:24: FutureWarning: The behavior of obj[i:j] with a float-dtype index is deprecated. In a future version, this will be treated as positional instead of label-based. For label-based slicing, use obj.loc[i:j] instead
+C:\Users\runneradmin\AppData\Local\Temp\ipykernel_2548\4246861920.py:24: FutureWarning: The behavior of obj[i:j] with a float-dtype index is deprecated. In a future version, this will be treated as positional instead of label-based. For label-based slicing, use obj.loc[i:j] instead
   scr_max = epoch[&quot;SCR_Amplitude&quot;][0:6].max()  # Maximum SCR peak
 </pre></div>
 </div>

.doctrees/examples/ecg_generate_12leads/ecg_generate_12leads.doctree

@@ -481,7 +481,7 @@ <h2>Normal Multi-lead ECG<a class="headerlink" href="#normal-multi-lead-ecg" tit
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../../_images/382c0de3c5f5a3f5f3ddd322bc328abea2a423c6aa2396be5d0df28f37d217e0.png" src="../../_images/382c0de3c5f5a3f5f3ddd322bc328abea2a423c6aa2396be5d0df28f37d217e0.png" />
+<img alt="../../_images/f93a113790ea421b58c907c30c1b45d9ca554579740ae32c2fc7111d44333112.png" src="../../_images/f93a113790ea421b58c907c30c1b45d9ca554579740ae32c2fc7111d44333112.png" />
 </div>
 </div>
 </section>
@@ -513,7 +513,7 @@ <h2>Abnormal Multi-lead ECG<a class="headerlink" href="#abnormal-multi-lead-ecg"
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../../_images/8f379aa5ec3a0c6375d8f8071092d33a0c3094423701277182388830e1c4b8b3.png" src="../../_images/8f379aa5ec3a0c6375d8f8071092d33a0c3094423701277182388830e1c4b8b3.png" />
+<img alt="../../_images/8f25d9478ea609d7764b04045714c0a1b14fa2d4e5632ec4642598c1aa88726a.png" src="../../_images/8f25d9478ea609d7764b04045714c0a1b14fa2d4e5632ec4642598c1aa88726a.png" />
 </div>
 </div>
 </section>

.doctrees/examples/ecg_heartbeats/ecg_heartbeats.doctree

@@ -520,7 +520,7 @@ <h2>Extract R-peaks location<a class="headerlink" href="#extract-r-peaks-locatio
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../../_images/eee6d16e8f8d872881fbaa7d5072fc348188e92ca5346f55f9549e9e904a1ad9.png" src="../../_images/eee6d16e8f8d872881fbaa7d5072fc348188e92ca5346f55f9549e9e904a1ad9.png" />
+<img alt="../../_images/01e8fe9f26401d7f863cbf15e4599e46f489ac3577e6ec73b677a3c69ce41deb.png" src="../../_images/01e8fe9f26401d7f863cbf15e4599e46f489ac3577e6ec73b677a3c69ce41deb.png" />
 </div>
 </div>
 <p>Once that we know where the R-peaks are located, we can create windows of signal around them (of a length of for instance 1 second, ranging from 400 ms before the R-peak), which we can refer to as <em>epochs</em>.</p>
@@ -536,7 +536,7 @@ <h2>Segment the signal around the heart beats<a class="headerlink" href="#segmen
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../../_images/27289d8cf844231a868489ba42f4404bf02872a4506224fe01a4bfdd3cedc1b1.png" src="../../_images/27289d8cf844231a868489ba42f4404bf02872a4506224fe01a4bfdd3cedc1b1.png" />
+<img alt="../../_images/bba2a315e9d8efd5fe5e1d34e4cf41baea8ddc7c8e4ce69d845e40f1cb5d5da9.png" src="../../_images/bba2a315e9d8efd5fe5e1d34e4cf41baea8ddc7c8e4ce69d845e40f1cb5d5da9.png" />
 </div>
 </div>
 <p>This create a dictionary of dataframes for each ‘epoch’ (in this case, each heart beat).</p>
@@ -592,36 +592,36 @@ <h3>Custom colors and legend<a class="headerlink" href="#custom-colors-and-legen
   <tbody>
     <tr>
       <th>0</th>
-      <td>-0.190001</td>
-      <td>141</td>
+      <td>-0.192979</td>
+      <td>142</td>
       <td>1</td>
       <td>-0.300000</td>
     </tr>
     <tr>
       <th>1</th>
-      <td>-0.184142</td>
-      <td>142</td>
+      <td>-0.187465</td>
+      <td>143</td>
       <td>1</td>
       <td>-0.295977</td>
     </tr>
     <tr>
       <th>2</th>
-      <td>-0.178179</td>
-      <td>143</td>
+      <td>-0.181759</td>
+      <td>144</td>
       <td>1</td>
       <td>-0.291954</td>
     </tr>
     <tr>
       <th>3</th>
-      <td>-0.172032</td>
-      <td>144</td>
+      <td>-0.175824</td>
+      <td>145</td>
       <td>1</td>
       <td>-0.287931</td>
     </tr>
     <tr>
       <th>4</th>
-      <td>-0.165607</td>
-      <td>145</td>
+      <td>-0.169607</td>
+      <td>146</td>
       <td>1</td>
       <td>-0.283908</td>
     </tr>
@@ -706,123 +706,123 @@ <h3>Custom colors and legend<a class="headerlink" href="#custom-colors-and-legen
   <tbody>
     <tr>
       <th>-0.300000</th>
-      <td>-0.190001</td>
-      <td>-0.132023</td>
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+      <td>-0.192979</td>
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+      <td>-0.147013</td>
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+      <td>-0.134196</td>
+      <td>-0.141619</td>
+      <td>-0.141531</td>
       <td>...</td>
-      <td>-0.133033</td>
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+      <td>-0.136680</td>
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       <th>-0.295977</th>
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       <td>...</td>
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       <th>-0.291954</th>
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       <th>-0.287931</th>
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       <td>...</td>
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     </tr>
   </tbody>
 </table>
@@ -850,7 +850,7 @@ <h3>Custom colors and legend<a class="headerlink" href="#custom-colors-and-legen
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../../_images/1bf519248b8ac9b1f25ad0757a7ee2904b787139473edfc33217449a6a085a0e.png" src="../../_images/1bf519248b8ac9b1f25ad0757a7ee2904b787139473edfc33217449a6a085a0e.png" />
+<img alt="../../_images/fbaa1794c6ad1f21fa45bf126e8a7e9e040fe646d7e987fcd0ad319a732e433f.png" src="../../_images/fbaa1794c6ad1f21fa45bf126e8a7e9e040fe646d7e987fcd0ad319a732e433f.png" />
 </div>
 </div>
 </section>