deploy: 6e3e379

Author: DominiqueMakowski

.doctrees/environment.pickle

@@ -523,7 +523,7 @@ <h1>Source code for neurokit2.ecg.ecg_quality</h1><div class="highlight"><pre>
 
     <span class="c1"># Interpolate</span>
     <span class="n">quality</span> <span class="o">=</span> <span class="n">signal_interpolate</span><span class="p">(</span>
-        <span class="n">rpeaks</span><span class="p">,</span> <span class="n">quality</span><span class="p">,</span> <span class="n">x_new</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">ecg_cleaned</span><span class="p">)),</span> <span class="n">method</span><span class="o">=</span><span class="s2">&quot;quadratic&quot;</span>
+        <span class="n">rpeaks</span><span class="p">,</span> <span class="n">quality</span><span class="p">,</span> <span class="n">x_new</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">ecg_cleaned</span><span class="p">)),</span> <span class="n">method</span><span class="o">=</span><span class="s2">&quot;previous&quot;</span>
     <span class="p">)</span>
 
     <span class="k">return</span> <span class="n">quality</span>

.doctrees/examples/bio_custom/bio_custom.doctree

@@ -478,7 +478,7 @@ <h2>The Default NeuroKit processing pipeline<a class="headerlink" href="#the-def
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../../_images/d45041bae6ee7d09eab7d3dc44ec2f12bc9ae021b43092576379dd2599a643d5.png" src="../../_images/d45041bae6ee7d09eab7d3dc44ec2f12bc9ae021b43092576379dd2599a643d5.png" />
+<img alt="../../_images/c9523b0a2fe5c31727b349ae5750fe7b53be858cbfdda1f3722ef28cc048e1f7.png" src="../../_images/c9523b0a2fe5c31727b349ae5750fe7b53be858cbfdda1f3722ef28cc048e1f7.png" />
 </div>
 </div>
 </section>
@@ -526,7 +526,7 @@ <h2>Building your own <code class="docutils literal notranslate"><span class="pr
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../../_images/40ea2aec8e49ae408e4d4edcf35cbacebe48007e1da4aedfdcbaabac48fb74f9.png" src="../../_images/40ea2aec8e49ae408e4d4edcf35cbacebe48007e1da4aedfdcbaabac48fb74f9.png" />
+<img alt="../../_images/68bc892347feb47d65e6c1d816ef9eaa8c0d655590f62c12f4691892190897f8.png" src="../../_images/68bc892347feb47d65e6c1d816ef9eaa8c0d655590f62c12f4691892190897f8.png" />
 </div>
 </div>
 </section>
@@ -618,7 +618,7 @@ <h2>Customize even more!<a class="headerlink" href="#customize-even-more" title=
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../../_images/083bcc6635f3d94d42171629b6349358420f46e1f7ef517b220d52a9d8e7bfeb.png" src="../../_images/083bcc6635f3d94d42171629b6349358420f46e1f7ef517b220d52a9d8e7bfeb.png" />
+<img alt="../../_images/74c2d87c314834f39cff77ac5ba4f698b77e08f2a925ca96c05a79198e2bf495.png" src="../../_images/74c2d87c314834f39cff77ac5ba4f698b77e08f2a925ca96c05a79198e2bf495.png" />
 </div>
 </div>
 <p>This doesn’t look bad :) <strong>Can you do better?</strong></p>

.doctrees/examples/bio_eventrelated/bio_eventrelated.doctree

@@ -513,7 +513,7 @@ <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/b6c54b59c48e5fefd2992a8edcfcc573a62ba41182d0d70995d6079a909ec992.png" src="../../_images/b6c54b59c48e5fefd2992a8edcfcc573a62ba41182d0d70995d6079a909ec992.png" />
+<img alt="../../_images/f50fb9f76e12912b0cb0653e4585ddf265a7e96060feb5311f5bdda776116171.png" src="../../_images/f50fb9f76e12912b0cb0653e4585ddf265a7e96060feb5311f5bdda776116171.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>
@@ -624,11 +624,11 @@ <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_7016\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_4976\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_7016\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_4976\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_7016\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_4976\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

@@ -464,7 +464,7 @@ <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/75e0054c30f83ef6f8048295fe5abf5a9f3a016ec9ecd289a7007ba332bf14b8.png" src="../../_images/75e0054c30f83ef6f8048295fe5abf5a9f3a016ec9ecd289a7007ba332bf14b8.png" />
+<img alt="../../_images/5e46e2d3cec7a90928bd211f0e149b61781b58e1e6f91d3a3dd7146636b02376.png" src="../../_images/5e46e2d3cec7a90928bd211f0e149b61781b58e1e6f91d3a3dd7146636b02376.png" />
 </div>
 </div>
 </section>
@@ -496,7 +496,7 @@ <h2>Abnormal Multi-lead ECG<a class="headerlink" href="#abnormal-multi-lead-ecg"
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../../_images/d68de0411fdc350ed0f79563a22b92c96b09270adc47d12c3a50d8e93b20b07b.png" src="../../_images/d68de0411fdc350ed0f79563a22b92c96b09270adc47d12c3a50d8e93b20b07b.png" />
+<img alt="../../_images/0f32bf4ffd1a98dd30f43a4d522e062c4a0c23947a3c7a1246b4ea38b745a585.png" src="../../_images/0f32bf4ffd1a98dd30f43a4d522e062c4a0c23947a3c7a1246b4ea38b745a585.png" />
 </div>
 </div>
 </section>

.doctrees/examples/ecg_heartbeats/ecg_heartbeats.doctree

@@ -503,7 +503,7 @@ <h2>Extract R-peaks location<a class="headerlink" href="#extract-r-peaks-locatio
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../../_images/bf260b0115258e126956ef2d154f6f62afdacf9e6e368a0cab80404dd94aede6.png" src="../../_images/bf260b0115258e126956ef2d154f6f62afdacf9e6e368a0cab80404dd94aede6.png" />
+<img alt="../../_images/e15d88b85f47fc10daa9c367708e366aa6b79e6dc9ddc5cba962c8c0dbbc4145.png" src="../../_images/e15d88b85f47fc10daa9c367708e366aa6b79e6dc9ddc5cba962c8c0dbbc4145.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>
@@ -519,7 +519,7 @@ <h2>Segment the signal around the heart beats<a class="headerlink" href="#segmen
 </div>
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 <div class="cell_output docutils container">
-<img alt="../../_images/f68b1ae8badaa230c677d8b6a171defbdf7a89a6356a5c280649119322c9c7ed.png" src="../../_images/f68b1ae8badaa230c677d8b6a171defbdf7a89a6356a5c280649119322c9c7ed.png" />
+<img alt="../../_images/050f20ee0743e1e74df056bc43cf7e29be9abab81347b97cb914196ea805c0af.png" src="../../_images/050f20ee0743e1e74df056bc43cf7e29be9abab81347b97cb914196ea805c0af.png" />
 </div>
 </div>
 <p>This create a dictionary of dataframes for each ‘epoch’ (in this case, each heart beat).</p>
@@ -575,36 +575,36 @@ <h3>Custom colors and legend<a class="headerlink" href="#custom-colors-and-legen
   <tbody>
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       <th>0</th>
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       <td>-0.287931</td>
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       <th>4</th>
-      <td>-0.175999</td>
-      <td>143</td>
+      <td>-0.189067</td>
+      <td>139</td>
       <td>1</td>
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@@ -650,10 +650,10 @@ <h3>Custom colors and legend<a class="headerlink" href="#custom-colors-and-legen
       <th>17</th>
       <th>18</th>
       <th>...</th>
-      <th>31</th>
       <th>32</th>
       <th>33</th>
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+      <th>35</th>
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@@ -689,127 +689,127 @@ <h3>Custom colors and legend<a class="headerlink" href="#custom-colors-and-legen
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+<img alt="../../_images/2c441ce5f7e6cd3683cbd0b3576b5332239453c544df6dd314672315fd1073c0.png" src="../../_images/2c441ce5f7e6cd3683cbd0b3576b5332239453c544df6dd314672315fd1073c0.png" />
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