From 25d61bcee134e61e084b42fade9f698329f98e5b Mon Sep 17 00:00:00 2001
From: srcarter3 <srcarter3@users.noreply.github.com>
Date: Tue, 15 Nov 2022 18:44:18 +0000
Subject: [PATCH] deploy: a7f43d8ec9105feae39a39c7e581896cb9fe19f2

---
 .../examples/generated/Regional_Surface_Obs_Plot.rst.txt  | 8 ++++----
 examples/generated/Regional_Surface_Obs_Plot.html         | 8 ++++----
 2 files changed, 8 insertions(+), 8 deletions(-)

diff --git a/_sources/examples/generated/Regional_Surface_Obs_Plot.rst.txt b/_sources/examples/generated/Regional_Surface_Obs_Plot.rst.txt
index b989cb5..427f534 100644
--- a/_sources/examples/generated/Regional_Surface_Obs_Plot.rst.txt
+++ b/_sources/examples/generated/Regional_Surface_Obs_Plot.rst.txt
@@ -305,7 +305,7 @@ the maps database called **state**. We can take the results from that
 filter and get a geographic **envelope** based on the Florida polygon
 that was returned from the previous cell.
 
-   Warning: Without such a filter you may be requesting many tens of
+   **Warning**: Without such a filter you may be requesting many tens of
    thousands of records.
 
 .. code:: ipython3
@@ -354,9 +354,9 @@ Both the METAR and Synoptic datasets should be filtered by time to avoid
 requesting an unreasonable amount of data. By defining one filter now,
 we can use it in both of their data requests to EDEX.
 
-   Note: Here we will use the most recent hour as our default filter.
-   Try adjusting the timerange and see the difference in the final
-   plots.
+   **Note**: Here we will use the most recent hour as our default
+   filter. Try adjusting the timerange and see the difference in the
+   final plots.
 
 .. code:: ipython3
 
diff --git a/examples/generated/Regional_Surface_Obs_Plot.html b/examples/generated/Regional_Surface_Obs_Plot.html
index 436804b..6f99ef8 100644
--- a/examples/generated/Regional_Surface_Obs_Plot.html
+++ b/examples/generated/Regional_Surface_Obs_Plot.html
@@ -381,7 +381,7 @@ the maps database called <strong>state</strong>. We can take the results from th
 filter and get a geographic <strong>envelope</strong> based on the Florida polygon
 that was returned from the previous cell.</p>
 <blockquote>
-<div><p>Warning: Without such a filter you may be requesting many tens of
+<div><p><strong>Warning</strong>: Without such a filter you may be requesting many tens of
 thousands of records.</p>
 </div></blockquote>
 <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Append each geometry to a numpy array</span>
@@ -426,9 +426,9 @@ thousands of records.</p>
 requesting an unreasonable amount of data. By defining one filter now,
 we can use it in both of their data requests to EDEX.</p>
 <blockquote>
-<div><p>Note: Here we will use the most recent hour as our default filter.
-Try adjusting the timerange and see the difference in the final
-plots.</p>
+<div><p><strong>Note</strong>: Here we will use the most recent hour as our default
+filter. Try adjusting the timerange and see the difference in the
+final plots.</p>
 </div></blockquote>
 <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Filter for the last hour</span>
 <span class="n">lastHourDateTime</span> <span class="o">=</span> <span class="n">datetime</span><span class="o">.</span><span class="n">utcnow</span><span class="p">()</span> <span class="o">-</span> <span class="n">timedelta</span><span class="p">(</span><span class="n">minutes</span> <span class="o">=</span> <span class="mi">60</span><span class="p">)</span>