From 3a55db5ca120671058ea757c3feb5a841b2444ad Mon Sep 17 00:00:00 2001
From: rcjackson <rcjackson@users.noreply.github.com>
Date: Wed, 8 May 2024 20:29:08 +0000
Subject: [PATCH] deploy: 19a7391079e0838422aa4c47407a7e4822773ea3

---
 .../auto_examples_jupyter.zip                 | Bin 3871 -> 3871 bytes
 .../auto_examples_python.zip                  | Bin 1671 -> 1671 bytes
 _images/sphx_glr_plot_read_sp2b_001.png       | Bin 35479 -> 35450 bytes
 _images/sphx_glr_plot_read_sp2b_thumb.png     | Bin 25343 -> 24718 bytes
 _modules/pysp2/util/particle_properties.html  |   4 +++-
 _modules/pysp2/util/peak_fit.html             |   9 +++++----
 _modules/pysp2/vis/plot_wave.html             |   6 +++---
 _sources/sg_execution_times.rst.txt           |   8 ++++----
 _sources/source/auto_examples/plot_hk.rst.txt |   2 +-
 .../source/auto_examples/plot_psd.rst.txt     |   6 +++---
 .../auto_examples/plot_read_sp2b.rst.txt      |   6 +++---
 .../auto_examples/sg_execution_times.rst.txt  |   8 ++++----
 searchindex.js                                |   2 +-
 sg_execution_times.html                       |   8 ++++----
 source/auto_examples/plot_hk.html             |   2 +-
 source/auto_examples/plot_psd.html            |   6 +++---
 source/auto_examples/plot_read_sp2b.html      |   6 +++---
 source/auto_examples/sg_execution_times.html  |   8 ++++----
 18 files changed, 42 insertions(+), 39 deletions(-)

diff --git a/_downloads/0a2aa0c4f58078fa414bc2940e859b4f/auto_examples_jupyter.zip b/_downloads/0a2aa0c4f58078fa414bc2940e859b4f/auto_examples_jupyter.zip
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diff --git a/_modules/pysp2/util/particle_properties.html b/_modules/pysp2/util/particle_properties.html
index 8b8d6fc..cd99502 100644
--- a/_modules/pysp2/util/particle_properties.html
+++ b/_modules/pysp2/util/particle_properties.html
@@ -414,7 +414,9 @@ <h1>Source code for pysp2.util.particle_properties</h1><div class="highlight"><p
 
     <span class="n">PkHt_ch1</span> <span class="o">=</span> <span class="n">input_ds</span><span class="p">[</span><span class="s1">&#39;PkHt_ch1&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">values</span>
     <span class="n">PkHt_ch5</span> <span class="o">=</span> <span class="n">input_ds</span><span class="p">[</span><span class="s1">&#39;PkHt_ch5&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">values</span>
-    <span class="n">width</span> <span class="o">=</span> <span class="n">input_ds</span><span class="p">[</span><span class="s1">&#39;PkEnd_ch1&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">values</span> <span class="o">-</span> <span class="n">input_ds</span><span class="p">[</span><span class="s1">&#39;PkStart_ch1&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">values</span>
+    <span class="n">width_ch1</span> <span class="o">=</span> <span class="n">input_ds</span><span class="p">[</span><span class="s1">&#39;PkEnd_ch1&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">values</span> <span class="o">-</span> <span class="n">input_ds</span><span class="p">[</span><span class="s1">&#39;PkStart_ch1&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">values</span>
+    <span class="n">width_ch5</span> <span class="o">=</span> <span class="n">input_ds</span><span class="p">[</span><span class="s1">&#39;PkEnd_ch5&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">values</span> <span class="o">-</span> <span class="n">input_ds</span><span class="p">[</span><span class="s1">&#39;PkStart_ch5&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">values</span>
+    <span class="n">width</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">isnan</span><span class="p">(</span><span class="n">width_ch1</span><span class="p">),</span><span class="n">width_ch5</span><span class="p">,</span><span class="n">width_ch1</span><span class="p">)</span>
     <span class="n">accepted_incand</span> <span class="o">=</span> <span class="n">width</span> <span class="o">&gt;=</span> <span class="n">Globals</span><span class="o">.</span><span class="n">IncanMinWidth</span>
     <span class="n">accepted_incand</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">logical_and</span><span class="p">(</span><span class="n">accepted_incand</span><span class="p">,</span>
                                      <span class="n">input_ds</span><span class="p">[</span><span class="s1">&#39;PkHt_ch2&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">values</span> <span class="o">&gt;=</span> <span class="n">Globals</span><span class="o">.</span><span class="n">IncanMinPeakHt1</span><span class="p">)</span>
diff --git a/_modules/pysp2/util/peak_fit.html b/_modules/pysp2/util/peak_fit.html
index 9cf68f2..cb3f096 100644
--- a/_modules/pysp2/util/peak_fit.html
+++ b/_modules/pysp2/util/peak_fit.html
@@ -863,9 +863,10 @@ <h1>Source code for pysp2.util.peak_fit</h1><div class="highlight"><pre>
     <span class="n">num_base_pts_2_avg</span> <span class="o">=</span> <span class="mi">20</span>
     <span class="n">data</span> <span class="o">=</span> <span class="n">my_ds</span><span class="p">[</span><span class="s1">&#39;Data_ch&#39;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">channel</span><span class="p">)]</span><span class="o">.</span><span class="n">values</span>
     <span class="n">V_maxloc</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">argmax</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
-    <span class="n">V_minloc</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">argmin</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
-    <span class="n">invert</span> <span class="o">=</span> <span class="n">V_maxloc</span> <span class="o">&lt;</span> <span class="n">V_minloc</span>
-    <span class="n">data</span><span class="p">[</span><span class="n">invert</span><span class="p">,</span> <span class="p">:]</span> <span class="o">=</span> <span class="o">-</span><span class="n">data</span><span class="p">[</span><span class="n">invert</span><span class="p">,</span> <span class="p">:]</span>
+    <span class="c1">#V_minloc = np.argmin(data, axis=1)</span>
+    <span class="c1">#invert = V_maxloc &lt; V_minloc</span>
+    <span class="k">if</span> <span class="n">channel</span><span class="o">==</span><span class="mi">3</span><span class="p">:</span>
+        <span class="n">data</span> <span class="o">=</span> <span class="o">-</span><span class="n">data</span>
     <span class="n">base</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">nanmean</span><span class="p">(</span><span class="n">data</span><span class="p">[:,</span> <span class="mi">0</span><span class="p">:</span><span class="n">num_base_pts_2_avg</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
     <span class="n">V_max</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
     <span class="n">conditions</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">logical_and</span><span class="o">.</span><span class="n">reduce</span><span class="p">(((</span><span class="n">V_max</span> <span class="o">-</span> <span class="n">base</span><span class="p">)</span> <span class="o">&gt;</span> <span class="mi">1</span><span class="p">,</span> <span class="n">V_maxloc</span> <span class="o">&lt;</span> <span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="p">),</span> <span class="n">V_maxloc</span> <span class="o">&gt;</span> <span class="mi">0</span><span class="p">))</span>
@@ -880,7 +881,7 @@ <h1>Source code for pysp2.util.peak_fit</h1><div class="highlight"><pre>
     <span class="n">pos_tile</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">tile</span><span class="p">(</span><span class="n">pos</span><span class="p">,</span> <span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="mi">1</span><span class="p">))</span><span class="o">.</span><span class="n">T</span>
     <span class="n">counting_up</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">logical_and</span><span class="p">(</span><span class="n">data</span> <span class="o">&lt;</span> <span class="mi">5</span><span class="p">,</span> <span class="n">counting_up</span> <span class="o">&lt;=</span> <span class="n">pos_tile</span><span class="p">),</span> <span class="n">counting_up</span><span class="p">,</span> <span class="o">-</span><span class="mi">1</span><span class="p">)</span>
     <span class="n">start</span> <span class="o">=</span> <span class="n">counting_up</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
-    <span class="n">fit_coeffs</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;base&#39;</span><span class="p">:</span> <span class="n">base</span><span class="p">,</span> <span class="s1">&#39;height&#39;</span><span class="p">:</span> <span class="n">height</span><span class="p">,</span> <span class="s1">&#39;pos&#39;</span><span class="p">:</span> <span class="n">pos</span><span class="p">,</span> <span class="s1">&#39;start&#39;</span><span class="p">:</span> <span class="n">start</span><span class="p">,</span> <span class="s1">&#39;inverted&#39;</span><span class="p">:</span> <span class="n">invert</span><span class="p">}</span>
+    <span class="n">fit_coeffs</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;base&#39;</span><span class="p">:</span> <span class="n">base</span><span class="p">,</span> <span class="s1">&#39;height&#39;</span><span class="p">:</span> <span class="n">height</span><span class="p">,</span> <span class="s1">&#39;pos&#39;</span><span class="p">:</span> <span class="n">pos</span><span class="p">,</span> <span class="s1">&#39;start&#39;</span><span class="p">:</span> <span class="n">start</span><span class="p">}</span>
 
     <span class="k">return</span> <span class="n">fit_coeffs</span>
 
diff --git a/_modules/pysp2/vis/plot_wave.html b/_modules/pysp2/vis/plot_wave.html
index d7cc826..5541532 100644
--- a/_modules/pysp2/vis/plot_wave.html
+++ b/_modules/pysp2/vis/plot_wave.html
@@ -424,7 +424,7 @@ <h1>Source code for pysp2.vis.plot_wave</h1><div class="highlight"><pre>
         <span class="n">pos</span> <span class="o">=</span> <span class="n">spectra</span><span class="p">[</span><span class="s1">&#39;FtPos_ch&#39;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">chn</span><span class="p">)]</span><span class="o">.</span><span class="n">values</span>
         <span class="n">base</span> <span class="o">=</span> <span class="n">spectra</span><span class="p">[</span><span class="s1">&#39;Base_ch&#39;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">chn</span><span class="p">)]</span><span class="o">.</span><span class="n">values</span>
         <span class="n">width</span> <span class="o">=</span> <span class="n">spectra</span><span class="p">[</span><span class="s1">&#39;PkFWHM_ch&#39;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">chn</span><span class="p">)]</span><span class="o">.</span><span class="n">values</span>
-        <span class="n">Y</span> <span class="o">=</span> <span class="n">_gaus</span><span class="p">(</span><span class="n">xspace</span><span class="p">,</span> <span class="n">amplitude</span><span class="p">,</span> <span class="n">pos</span><span class="p">,</span> <span class="n">width</span><span class="o">/</span><span class="mf">2.</span><span class="p">,</span> <span class="n">base</span><span class="p">)</span>
+        <span class="n">Y</span> <span class="o">=</span> <span class="n">_gaus</span><span class="p">(</span><span class="n">xspace</span><span class="p">,</span> <span class="n">amplitude</span><span class="p">,</span> <span class="n">pos</span><span class="p">,</span> <span class="n">width</span><span class="o">/</span><span class="mf">2.35482</span><span class="p">,</span> <span class="n">base</span><span class="p">)</span>
         <span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">xspace</span><span class="p">,</span> <span class="n">Y</span><span class="p">)</span>
         <span class="n">ax</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="mf">0.7</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">,</span> <span class="s1">&#39;Fit Pos = </span><span class="si">%3.2f</span><span class="s1">&#39;</span> <span class="o">%</span> <span class="n">pos</span><span class="p">,</span>
                 <span class="n">transform</span><span class="o">=</span><span class="n">ax</span><span class="o">.</span><span class="n">transAxes</span><span class="p">)</span>
@@ -494,8 +494,8 @@ <h1>Source code for pysp2.vis.plot_wave</h1><div class="highlight"><pre>
         <span class="n">ax</span><span class="o">.</span><span class="n">legend</span><span class="p">(</span><span class="n">legends</span><span class="p">[</span><span class="n">i</span><span class="p">])</span>
         <span class="k">if</span> <span class="n">i</span><span class="o">==</span><span class="mi">2</span><span class="p">:</span>
             <span class="n">lines</span><span class="o">=</span><span class="n">ax</span><span class="o">.</span><span class="n">get_lines</span><span class="p">()</span>
-            <span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">ds</span><span class="p">[</span><span class="s1">&#39;PkSplitPos_ch3&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">isel</span><span class="p">(</span><span class="n">event_index</span><span class="o">=</span><span class="n">record_no</span><span class="p">),</span><span class="mi">0</span><span class="p">,</span><span class="s1">&#39;*&#39;</span><span class="p">,</span><span class="n">markersize</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span><span class="n">color</span><span class="o">=</span><span class="n">lines</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">get_color</span><span class="p">())</span>
-            <span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">ds</span><span class="p">[</span><span class="s1">&#39;PkSplitPos_ch7&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">isel</span><span class="p">(</span><span class="n">event_index</span><span class="o">=</span><span class="n">record_no</span><span class="p">),</span><span class="mi">0</span><span class="p">,</span><span class="s1">&#39;*&#39;</span><span class="p">,</span><span class="n">markersize</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span><span class="n">color</span><span class="o">=</span><span class="n">lines</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">get_color</span><span class="p">())</span>
+            <span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">ds</span><span class="p">[</span><span class="s1">&#39;PkSplitPos_ch3&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">isel</span><span class="p">(</span><span class="n">event_index</span><span class="o">=</span><span class="n">record_no</span><span class="p">),</span><span class="mi">0</span><span class="p">,</span><span class="s1">&#39;1&#39;</span><span class="p">,</span><span class="n">markersize</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span><span class="n">color</span><span class="o">=</span><span class="n">lines</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">get_color</span><span class="p">())</span>
+            <span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">ds</span><span class="p">[</span><span class="s1">&#39;PkSplitPos_ch7&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">isel</span><span class="p">(</span><span class="n">event_index</span><span class="o">=</span><span class="n">record_no</span><span class="p">),</span><span class="mi">0</span><span class="p">,</span><span class="s1">&#39;2&#39;</span><span class="p">,</span><span class="n">markersize</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span><span class="n">color</span><span class="o">=</span><span class="n">lines</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">get_color</span><span class="p">())</span>
     <span class="k">return</span> <span class="n">display</span>
 </pre></div>
 
diff --git a/_sources/sg_execution_times.rst.txt b/_sources/sg_execution_times.rst.txt
index f1d1ee6..e8ea370 100644
--- a/_sources/sg_execution_times.rst.txt
+++ b/_sources/sg_execution_times.rst.txt
@@ -6,7 +6,7 @@
 
 Computation times
 =================
-**00:19.474** total execution time for 3 files **from all galleries**:
+**00:19.337** total execution time for 3 files **from all galleries**:
 
 .. container::
 
@@ -33,11 +33,11 @@ Computation times
      - Time
      - Mem (MB)
    * - :ref:`sphx_glr_source_auto_examples_plot_psd.py` (``../../examples/plot_psd.py``)
-     - 00:09.920
+     - 00:09.813
      - 0.0
    * - :ref:`sphx_glr_source_auto_examples_plot_read_sp2b.py` (``../../examples/plot_read_sp2b.py``)
-     - 00:06.703
+     - 00:06.726
      - 0.0
    * - :ref:`sphx_glr_source_auto_examples_plot_hk.py` (``../../examples/plot_hk.py``)
-     - 00:02.851
+     - 00:02.798
      - 0.0
diff --git a/_sources/source/auto_examples/plot_hk.rst.txt b/_sources/source/auto_examples/plot_hk.rst.txt
index 020fdc4..9ac9a92 100644
--- a/_sources/source/auto_examples/plot_hk.rst.txt
+++ b/_sources/source/auto_examples/plot_hk.rst.txt
@@ -80,7 +80,7 @@ Example for plotting number of particles in housekeeping data
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 2.851 seconds)
+   **Total running time of the script:** (0 minutes 2.798 seconds)
 
 
 .. _sphx_glr_download_source_auto_examples_plot_hk.py:
diff --git a/_sources/source/auto_examples/plot_psd.rst.txt b/_sources/source/auto_examples/plot_psd.rst.txt
index bf46ca6..3a1bd9f 100644
--- a/_sources/source/auto_examples/plot_psd.rst.txt
+++ b/_sources/source/auto_examples/plot_psd.rst.txt
@@ -40,7 +40,7 @@ Example on plotting particle concentration data timeseries
     Processing record 0
     /home/runner/work/PySP2/PySP2/pysp2/util/peak_fit.py:384: OptimizeWarning: Covariance of the parameters could not be estimated
       coeff, var_matrix = curve_fit(_gaus, bins_fit, data_fit, p0=p0, method='lm', maxfev=40, ftol=1e-3)
-    /home/runner/work/PySP2/PySP2/pysp2/util/peak_fit.py:563: OptimizeWarning: Covariance of the parameters could not be estimated
+    /home/runner/work/PySP2/PySP2/pysp2/util/peak_fit.py:564: OptimizeWarning: Covariance of the parameters could not be estimated
       coeff, var_matrix = curve_fit(_gaus, bins_fit, temp1_fit, p0=p0, method='lm', maxfev=50, ftol=1e-3)
     Processing record 1000
     Processing record 2000
@@ -49,7 +49,7 @@ Example on plotting particle concentration data timeseries
     Processing record 5000
     /home/runner/work/PySP2/PySP2/pysp2/util/peak_fit.py:78: RuntimeWarning: Mean of empty slice
       ratio = np.nanmean(
-    5877 records processed in 6.259682655334473 s
+    5877 records processed in 6.273894309997559 s
     /home/runner/work/PySP2/PySP2/pysp2/util/particle_properties.py:38: RuntimeWarning: All-NaN slice encountered
       PkHt_ch0 = np.nanmax(np.stack([input_ds['PkHt_ch0'].values, input_ds['FtAmp_ch0'].values]), axis=0)
     /home/runner/work/PySP2/PySP2/pysp2/util/particle_properties.py:39: RuntimeWarning: All-NaN slice encountered
@@ -86,7 +86,7 @@ Example on plotting particle concentration data timeseries
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 9.920 seconds)
+   **Total running time of the script:** (0 minutes 9.813 seconds)
 
 
 .. _sphx_glr_download_source_auto_examples_plot_psd.py:
diff --git a/_sources/source/auto_examples/plot_read_sp2b.rst.txt b/_sources/source/auto_examples/plot_read_sp2b.rst.txt
index e298dad..011be79 100644
--- a/_sources/source/auto_examples/plot_read_sp2b.rst.txt
+++ b/_sources/source/auto_examples/plot_read_sp2b.rst.txt
@@ -40,7 +40,7 @@ Example for plotting a wave in a .sp2b file
     Processing record 0
     /home/runner/work/PySP2/PySP2/pysp2/util/peak_fit.py:384: OptimizeWarning: Covariance of the parameters could not be estimated
       coeff, var_matrix = curve_fit(_gaus, bins_fit, data_fit, p0=p0, method='lm', maxfev=40, ftol=1e-3)
-    /home/runner/work/PySP2/PySP2/pysp2/util/peak_fit.py:563: OptimizeWarning: Covariance of the parameters could not be estimated
+    /home/runner/work/PySP2/PySP2/pysp2/util/peak_fit.py:564: OptimizeWarning: Covariance of the parameters could not be estimated
       coeff, var_matrix = curve_fit(_gaus, bins_fit, temp1_fit, p0=p0, method='lm', maxfev=50, ftol=1e-3)
     Processing record 1000
     Processing record 2000
@@ -49,7 +49,7 @@ Example for plotting a wave in a .sp2b file
     Processing record 5000
     /home/runner/work/PySP2/PySP2/pysp2/util/peak_fit.py:78: RuntimeWarning: Mean of empty slice
       ratio = np.nanmean(
-    5877 records processed in 6.243179798126221 s
+    5877 records processed in 6.2864134311676025 s
     <xarray.Dataset> Size: 41MB
     Dimensions:               (event_index: 5877, columns: 100)
     Dimensions without coordinates: event_index, columns
@@ -92,7 +92,7 @@ Example for plotting a wave in a .sp2b file
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 6.703 seconds)
+   **Total running time of the script:** (0 minutes 6.726 seconds)
 
 
 .. _sphx_glr_download_source_auto_examples_plot_read_sp2b.py:
diff --git a/_sources/source/auto_examples/sg_execution_times.rst.txt b/_sources/source/auto_examples/sg_execution_times.rst.txt
index 86dec2a..eb45d99 100644
--- a/_sources/source/auto_examples/sg_execution_times.rst.txt
+++ b/_sources/source/auto_examples/sg_execution_times.rst.txt
@@ -6,7 +6,7 @@
 
 Computation times
 =================
-**00:19.474** total execution time for 3 files **from source/auto_examples**:
+**00:19.337** total execution time for 3 files **from source/auto_examples**:
 
 .. container::
 
@@ -33,11 +33,11 @@ Computation times
      - Time
      - Mem (MB)
    * - :ref:`sphx_glr_source_auto_examples_plot_psd.py` (``plot_psd.py``)
-     - 00:09.920
+     - 00:09.813
      - 0.0
    * - :ref:`sphx_glr_source_auto_examples_plot_read_sp2b.py` (``plot_read_sp2b.py``)
-     - 00:06.703
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    * - :ref:`sphx_glr_source_auto_examples_plot_hk.py` (``plot_hk.py``)
-     - 00:02.851
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diff --git a/searchindex.js b/searchindex.js
index ac8bb3b..3bdc512 100644
--- a/searchindex.js
+++ b/searchindex.js
@@ -1 +1 @@
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 <tbody>
 <tr class="row-even"><td><p><a class="reference internal" href="plot_psd.html#sphx-glr-source-auto-examples-plot-psd-py"><span class="std std-ref">Example on plotting particle concentration data timeseries</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_psd.py</span></code>)</p></td>
-<td><p>00:09.920</p></td>
+<td><p>00:09.813</p></td>
 <td><p>0.0</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="plot_read_sp2b.html#sphx-glr-source-auto-examples-plot-read-sp2b-py"><span class="std std-ref">Example for plotting a wave in a .sp2b file</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_read_sp2b.py</span></code>)</p></td>
-<td><p>00:06.703</p></td>
+<td><p>00:06.726</p></td>
 <td><p>0.0</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="plot_hk.html#sphx-glr-source-auto-examples-plot-hk-py"><span class="std std-ref">Example for plotting number of particles in housekeeping data</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_hk.py</span></code>)</p></td>
-<td><p>00:02.851</p></td>
+<td><p>00:02.798</p></td>
 <td><p>0.0</p></td>
 </tr>
 </tbody>