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neuropsychology · Nov 27, 2024 · 2afd601 · 2afd601
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diff --git a/.doctrees/environment.pickle b/.doctrees/environment.pickle
diff --git a/.doctrees/examples/bio_custom/bio_custom.doctree b/.doctrees/examples/bio_custom/bio_custom.doctree
diff --git a/.doctrees/examples/bio_eventrelated/bio_eventrelated.doctree b/.doctrees/examples/bio_eventrelated/bio_eventrelated.doctree
diff --git a/.doctrees/examples/ecg_generate_12leads/ecg_generate_12leads.doctree b/.doctrees/examples/ecg_generate_12leads/ecg_generate_12leads.doctree
diff --git a/.doctrees/examples/ecg_heartbeats/ecg_heartbeats.doctree b/.doctrees/examples/ecg_heartbeats/ecg_heartbeats.doctree
diff --git a/.doctrees/examples/eda_peaks/eda_peaks.doctree b/.doctrees/examples/eda_peaks/eda_peaks.doctree
diff --git a/.doctrees/examples/eeg_complexity/eeg_complexity.doctree b/.doctrees/examples/eeg_complexity/eeg_complexity.doctree
diff --git a/.doctrees/examples/eeg_microstates/eeg_microstates.doctree b/.doctrees/examples/eeg_microstates/eeg_microstates.doctree
diff --git a/.doctrees/examples/eeg_power/eeg_power.doctree b/.doctrees/examples/eeg_power/eeg_power.doctree
diff --git a/.doctrees/examples/eog_analyze/eog_analyze.doctree b/.doctrees/examples/eog_analyze/eog_analyze.doctree
diff --git a/.doctrees/examples/misc_fit_function/misc_fit_function.doctree b/.doctrees/examples/misc_fit_function/misc_fit_function.doctree
diff --git a/.doctrees/examples/signal_simulation/signal_simulation.doctree b/.doctrees/examples/signal_simulation/signal_simulation.doctree
diff --git a/.doctrees/functions/benchmark.doctree b/.doctrees/functions/benchmark.doctree
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diff --git a/.doctrees/functions/complexity.doctree b/.doctrees/functions/complexity.doctree
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diff --git a/_images/p_signal_recompose1.png b/_images/p_signal_recompose1.png
diff --git a/_images/p_signal_smooth1.png b/_images/p_signal_smooth1.png
diff --git a/_images/p_signal_smooth2.png b/_images/p_signal_smooth2.png
diff --git a/_images/p_signal_surrogate1.png b/_images/p_signal_surrogate1.png
diff --git a/_images/p_signal_surrogate2.png b/_images/p_signal_surrogate2.png
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diff --git a/_images/p_summary1.png b/_images/p_summary1.png
diff --git a/_modules/neurokit2/ecg/ecg_delineate.html b/_modules/neurokit2/ecg/ecg_delineate.html
diff --git a/examples/bio_custom/bio_custom.html b/examples/bio_custom/bio_custom.html
@@ -473,7 +473,7 @@ <h2>The Default NeuroKit processing pipeline<a class="headerlink" href="#the-def
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../../_images/5dc7e06114bbec9d6df9b907e3a699be4c9987887536bf6136b67cabb1ef16a1.png" src="../../_images/5dc7e06114bbec9d6df9b907e3a699be4c9987887536bf6136b67cabb1ef16a1.png" />
+<img alt="../../_images/0cc77df558cdacaf436b4417bcbd6c1fd065e05c8da504a9891e50ff28074497.png" src="../../_images/0cc77df558cdacaf436b4417bcbd6c1fd065e05c8da504a9891e50ff28074497.png" />
 </div>
 </div>
 </section>
@@ -521,7 +521,7 @@ <h2>Building your own <code class="docutils literal notranslate"><span class="pr
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../../_images/8d98ff19879bcbd474ce2bc51aac2f75a3130a315d6b67edbcec7315791d15a9.png" src="../../_images/8d98ff19879bcbd474ce2bc51aac2f75a3130a315d6b67edbcec7315791d15a9.png" />
+<img alt="../../_images/27441eafad79d3ce95b8840e81f0fdd79ba8877593f4f7f05e78b8742c13c1d2.png" src="../../_images/27441eafad79d3ce95b8840e81f0fdd79ba8877593f4f7f05e78b8742c13c1d2.png" />
 </div>
 </div>
 </section>
@@ -613,7 +613,7 @@ <h2>Customize even more!<a class="headerlink" href="#customize-even-more" title=
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../../_images/cd1c02501de1356b6b0f76b2c67fccae203e0d4b7da31979c33efd96df74515a.png" src="../../_images/cd1c02501de1356b6b0f76b2c67fccae203e0d4b7da31979c33efd96df74515a.png" />
+<img alt="../../_images/614c5dfdf784b2b39d8c95a0928b02d72c7408a22333900d35199c73d999bd0b.png" src="../../_images/614c5dfdf784b2b39d8c95a0928b02d72c7408a22333900d35199c73d999bd0b.png" />
 </div>
 </div>
 <p>This doesn’t look bad :) <strong>Can you do better?</strong></p>

diff --git a/examples/bio_eventrelated/bio_eventrelated.html b/examples/bio_eventrelated/bio_eventrelated.html
@@ -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_3204\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_3204\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_3204\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>

diff --git a/examples/ecg_generate_12leads/ecg_generate_12leads.html b/examples/ecg_generate_12leads/ecg_generate_12leads.html
@@ -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/f2dc86d62bff1c709042784742ad1fabd232919eac535512a6e012c017c54067.png" src="../../_images/f2dc86d62bff1c709042784742ad1fabd232919eac535512a6e012c017c54067.png" />
+<img alt="../../_images/a8f21ad8004bb87537974d4e1979634d596a85688c88a03c162d811c9a6ee5cd.png" src="../../_images/a8f21ad8004bb87537974d4e1979634d596a85688c88a03c162d811c9a6ee5cd.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/93ab51f240020ac65b376274467bb7183880779f70ea35463692670258d58827.png" src="../../_images/93ab51f240020ac65b376274467bb7183880779f70ea35463692670258d58827.png" />
+<img alt="../../_images/bb2c3657a55323da4769b5192f6756ebbbe5e76d1cd8f713f6e9266b460529f4.png" src="../../_images/bb2c3657a55323da4769b5192f6756ebbbe5e76d1cd8f713f6e9266b460529f4.png" />
 </div>
 </div>
 </section>

diff --git a/examples/ecg_heartbeats/ecg_heartbeats.html b/examples/ecg_heartbeats/ecg_heartbeats.html
@@ -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/dac4ce3bfda1a2653871e601b983625febb2aac91df04c0a959cc7ccfb842178.png" src="../../_images/dac4ce3bfda1a2653871e601b983625febb2aac91df04c0a959cc7ccfb842178.png" />
+<img alt="../../_images/f3b07e768f414ca0dc803cfa59933aab6b146771d3c1b218183b407b640d59bb.png" src="../../_images/f3b07e768f414ca0dc803cfa59933aab6b146771d3c1b218183b407b640d59bb.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>
 </div>
 <div class="cell_output docutils container">
-<img alt="../../_images/a129492ef1729f716832d79c5368994869e9f18f3043a634619fc0199f7abbf6.png" src="../../_images/a129492ef1729f716832d79c5368994869e9f18f3043a634619fc0199f7abbf6.png" />
+<img alt="../../_images/65d079a7290810d7a2afd84e089681a6ea5e015db36e1acb0eea55bd4d53ab42.png" src="../../_images/65d079a7290810d7a2afd84e089681a6ea5e015db36e1acb0eea55bd4d53ab42.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
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-      <td>139</td>
+      <td>-0.177496</td>
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       <td>...</td>
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       <th>-0.287931</th>
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+      <td>-0.135481</td>
+      <td>-0.135954</td>
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       <td>...</td>
-      <td>-0.123595</td>
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-      <td>-0.299742</td>
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       <th>-0.283908</th>
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+      <td>-0.134485</td>
+      <td>-0.134648</td>
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       <td>...</td>
-      <td>-0.122447</td>
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-      <td>-0.120673</td>
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+      <td>-0.136784</td>
+      <td>-0.122761</td>
+      <td>-0.119566</td>
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   </tbody>
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@@ -833,7 +833,7 @@ <h3>Custom colors and legend<a class="headerlink" href="#custom-colors-and-legen
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+<img alt="../../_images/97fd63250e6a6cc4b9279d4485fff4765656b62280e58f06c8e49d185ddcfe4b.png" src="../../_images/97fd63250e6a6cc4b9279d4485fff4765656b62280e58f06c8e49d185ddcfe4b.png" />
 </div>
 </div>
 </section>

diff --git a/examples/eda_peaks/eda_peaks.html b/examples/eda_peaks/eda_peaks.html
@@ -497,7 +497,7 @@ <h2>Locate Skin Conductance Response (SCR) features<a class="headerlink" href="#
 </div>
 </div>
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-<img alt="../../_images/c752eda435caa5d030f1f7262948631c1a0146650b1fd358301cc131c0a03c5a.png" src="../../_images/c752eda435caa5d030f1f7262948631c1a0146650b1fd358301cc131c0a03c5a.png" />
+<img alt="../../_images/9c2e4742d9a5beea1cdf4ab75834fc7874c48936d0515fe39694bd61a0bf6e8e.png" src="../../_images/9c2e4742d9a5beea1cdf4ab75834fc7874c48936d0515fe39694bd61a0bf6e8e.png" />
 </div>
 </div>
 </section>
@@ -526,7 +526,7 @@ <h2>Decompose EDA into Phasic and Tonic components<a class="headerlink" href="#d
 <div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;Axes: &gt;
 </pre></div>
 </div>
-<img alt="../../_images/a246b92fc01a5a195a5f7d2098e395f6a0fa5faab0bb18ef900b64f87fff7433.png" src="../../_images/a246b92fc01a5a195a5f7d2098e395f6a0fa5faab0bb18ef900b64f87fff7433.png" />
+<img alt="../../_images/a826b85c65b90869daa4f26cf6842b4939cd02b69639495fa8048eb3820a7466.png" src="../../_images/a826b85c65b90869daa4f26cf6842b4939cd02b69639495fa8048eb3820a7466.png" />
 </div>
 </div>
 </section>
@@ -545,7 +545,7 @@ <h2>Quick Plot<a class="headerlink" href="#quick-plot" title="Link to this headi
   warn(
 </pre></div>
 </div>
-<img alt="../../_images/de1cb415a4a1a4a296cb90c2220aafcab6dca992d2099e5ea5e7309bf1b879f1.png" src="../../_images/de1cb415a4a1a4a296cb90c2220aafcab6dca992d2099e5ea5e7309bf1b879f1.png" />
+<img alt="../../_images/07593357db29af9a274104375a44f636ad19b4591485df8a2086c889598ef856.png" src="../../_images/07593357db29af9a274104375a44f636ad19b4591485df8a2086c889598ef856.png" />
 </div>
 </div>
 </section>

diff --git a/examples/eeg_complexity/eeg_complexity.html b/examples/eeg_complexity/eeg_complexity.html
@@ -754,9 +754,9 @@ <h3>Compute complexity indices per epoch<a class="headerlink" href="#compute-com
 </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_1524\1026332364.py:11: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>C:\Users\runneradmin\AppData\Local\Temp\ipykernel_3732\1026332364.py:11: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
   df.groupby([&quot;condition&quot;, &quot;epoch&quot;], as_index=False).apply(get_sdvden),
-C:\Users\runneradmin\AppData\Local\Temp\ipykernel_1524\1026332364.py:12: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
+C:\Users\runneradmin\AppData\Local\Temp\ipykernel_3732\1026332364.py:12: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
   df.groupby([&quot;condition&quot;, &quot;epoch&quot;], as_index=False).apply(get_hjorth)
 </pre></div>
 </div>