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‎appendix/how-to-contribute.html

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By the <a href="https://projectpythia.org/">Project Pythia</a> Community.
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‎appendix/template.html

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<div class="section" id="header-levels">
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<h6>header levels<a class="headerlink" href="#header-levels" title="Permalink to this headline"><i class="fas fa-link"></i></a></h6>
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<p>Each section in your notebook can also contain <span class="math notranslate nohighlight">\(\LaTeX\)</span> equations, enabled through MathJax. In the following example, we illustrate some sample MathJax equations. (Rendering instructions, as well as detailed information about MathJax, can be found in <a class="reference external" href="https://jupyter-notebook.readthedocs.io/en/stable/examples/Notebook/Typesetting%20Equations.html">this documentation</a>.)</p>
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<span class="eqno">(1)<a class="headerlink" href="#equation-508a2cbf-82a9-4a5b-8f52-05dfc3d9479b" title="Permalink to this equation"><i class="fas fa-link"></i></a></span>\[\begin{align}
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<span class="eqno">(1)<a class="headerlink" href="#equation-58a5c812-55cc-49ab-8472-ddd912ca3eed" title="Permalink to this equation"><i class="fas fa-link"></i></a></span>\[\begin{align}
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\dot{x} &amp; = \sigma(y-x) \\
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\dot{y} &amp; = \rho x - y - xz \\
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\dot{z} &amp; = -\beta z + xy
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By the <a href="https://projectpythia.org/">Project Pythia</a> Community.
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‎core/cartopy.html

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By the <a href="https://projectpythia.org/">Project Pythia</a> Community.
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‎core/cartopy/cartopy.html

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<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;cartopy.mpl.feature_artist.FeatureArtist at 0x7fc40c104730&gt;
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<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;cartopy.mpl.feature_artist.FeatureArtist at 0x7fd57a983280&gt;
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‎core/data-formats.html

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‎core/data-formats/netcdf-cf.html

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title: Forecast model run
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institution: Unidata
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history: 2023-05-08 21:31:44.133847 Python
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history: 2023-05-22 19:34:46.418316 Python
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references:
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dimensions(sizes): forecast_time(0), x(101), y(67), pressure(7)
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‎core/datetime.html

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‎core/datetime/datetime.html

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<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>I am time zone naive 2023-05-08 21:31:46.517733.
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I am time zone aware 2023-05-22 19:34:48.761799+00:00.
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<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>I am time zone naive: 2023-05-08 21:31:46.523281.
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I am time zone aware: 2023-05-08 15:31:46.534688-06:00.
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<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>I am time zone naive: 2023-05-22 19:34:48.767254.
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I am time zone aware: 2023-05-22 13:34:48.779012-06:00.
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The &#39;US/Mountain&#39; time is May 08, 2023, 3:31PM.
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The &#39;US/Mountain&#39; time is May 22, 2023, 1:34PM.
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‎core/matplotlib.html

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‎core/matplotlib/annotations-colorbars-layouts.html

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<p>We can change which colormap to use by setting the keyword argument <code class="docutils literal notranslate"><span class="pre">cmap</span> <span class="pre">=</span> <span class="pre">'colormap_name'</span></code> in the plotting function call. This sets the colormap not only for the plot, but for the colorbar as well. In this case, we use the <code class="docutils literal notranslate"><span class="pre">magma</span></code> colormap:</p>
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<p>You may be wondering why the call to <code class="docutils literal notranslate"><span class="pre">fig.colorbar</span></code> uses the argument <code class="docutils literal notranslate"><span class="pre">hist1[3]</span></code>. The explanation is as follows: <code class="docutils literal notranslate"><span class="pre">hist1</span></code> is a tuple returned by <code class="docutils literal notranslate"><span class="pre">hist2d</span></code>, and <code class="docutils literal notranslate"><span class="pre">hist1[3]</span></code> contains a <code class="docutils literal notranslate"><span class="pre">matplotlib.collections.QuadMesh</span></code> that points to the colormap for the first histogram. To make sure that both histograms are using the same colormap with the same range of values, <code class="docutils literal notranslate"><span class="pre">vmax</span></code> is set to 0.18 for both plots. This ensures that both histograms are using colormaps that represent values from 0 (the default for histograms) to 0.18. Because the same data values are used for both plots, it doesn’t matter whether we pass in <code class="docutils literal notranslate"><span class="pre">hist1[3]</span></code> or <code class="docutils literal notranslate"><span class="pre">hist2[3]</span></code> to <code class="docutils literal notranslate"><span class="pre">fig.colorbar</span></code>.
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<p>You’ll notice there is not a colorbar plotted by default. When constructing the colorbar, we need to specify the following:</p>
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‎core/matplotlib/histograms-piecharts-animation.html

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