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DHI · Mar 5, 2024 · 045376e · 045376e
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diff --git a/examples/Dfsu-2D-interpolation.html b/examples/Dfsu-2D-interpolation.html
diff --git a/examples/Generic.html b/examples/Generic.html
diff --git a/examples/Time-interpolation.html b/examples/Time-interpolation.html
@@ -376,11 +376,11 @@ <h1 class="title d-none d-lg-block">Time interpolation</h1>
 </header>
 
 
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 <div class="sourceCode cell-code" id="cb1"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="im">import</span> numpy <span class="im">as</span> np</span>
 <span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a><span class="im">import</span> mikeio</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
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-<div id="d922032c" class="cell" data-execution_count="2">
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 <div class="sourceCode cell-code" id="cb2"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb2-1"><a href="#cb2-1" aria-hidden="true" tabindex="-1"></a>ds <span class="op">=</span> mikeio.read(<span class="st">"../data/waves.dfs2"</span>)</span>
 <span id="cb2-2"><a href="#cb2-2" aria-hidden="true" tabindex="-1"></a>ds</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
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@@ -397,7 +397,7 @@ <h1 class="title d-none d-lg-block">Time interpolation</h1>
 <section id="interpolate-to-specific-timestep" class="level2">
 <h2 class="anchored" data-anchor-id="interpolate-to-specific-timestep">Interpolate to specific timestep</h2>
 <p>A common use case is to interpolate to a shorter timestep, in this case 1h.</p>
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 <div class="sourceCode cell-code" id="cb4"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb4-1"><a href="#cb4-1" aria-hidden="true" tabindex="-1"></a>ds_h <span class="op">=</span> ds.interp_time(<span class="dv">3600</span>)</span>
 <span id="cb4-2"><a href="#cb4-2" aria-hidden="true" tabindex="-1"></a>ds_h</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
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@@ -412,14 +412,14 @@ <h2 class="anchored" data-anchor-id="interpolate-to-specific-timestep">Interpola
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 <p>And to store the interpolated data in a new file.</p>
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 <div class="sourceCode cell-code" id="cb6"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb6-1"><a href="#cb6-1" aria-hidden="true" tabindex="-1"></a>ds_h.to_dfs(<span class="st">"waves_3h.dfs2"</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 </div>
 </section>
 <section id="interpolate-to-time-axis-of-another-dataset" class="level2">
 <h2 class="anchored" data-anchor-id="interpolate-to-time-axis-of-another-dataset">Interpolate to time axis of another dataset</h2>
 <p>Read some non-equidistant data typically found in observed data.</p>
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 <div class="sourceCode cell-code" id="cb7"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb7-1"><a href="#cb7-1" aria-hidden="true" tabindex="-1"></a>ts <span class="op">=</span> mikeio.read(<span class="st">"../data/waves.dfs0"</span>)</span>
 <span id="cb7-2"><a href="#cb7-2" aria-hidden="true" tabindex="-1"></a>ts</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
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@@ -434,10 +434,10 @@ <h2 class="anchored" data-anchor-id="interpolate-to-time-axis-of-another-dataset
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 <p>The observed timeseries is longer than the modelled data. Default is to fill values with NaN.</p>
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 <div class="sourceCode cell-code" id="cb9"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb9-1"><a href="#cb9-1" aria-hidden="true" tabindex="-1"></a>dsi <span class="op">=</span> ds.interp_time(ts)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
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-<div id="57a0cf56" class="cell" data-execution_count="7">
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 <div class="sourceCode cell-code" id="cb10"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb10-1"><a href="#cb10-1" aria-hidden="true" tabindex="-1"></a>dsi.time</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
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 <pre><code>DatetimeIndex(['2004-01-01 01:00:00', '2004-01-01 02:00:00',
@@ -455,13 +455,13 @@ <h2 class="anchored" data-anchor-id="interpolate-to-time-axis-of-another-dataset
               dtype='datetime64[ns]', freq=None)</code></pre>
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 <div class="sourceCode cell-code" id="cb12"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb12-1"><a href="#cb12-1" aria-hidden="true" tabindex="-1"></a>dsi[<span class="st">"Sign. Wave Height"</span>].shape</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
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 <pre><code>(24, 31, 31)</code></pre>
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 <div class="sourceCode cell-code" id="cb14"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb14-1"><a href="#cb14-1" aria-hidden="true" tabindex="-1"></a>ax <span class="op">=</span> dsi[<span class="st">"Sign. Wave Height"</span>].sel(x<span class="op">=</span><span class="dv">250</span>, y<span class="op">=</span><span class="dv">1200</span>).plot(marker<span class="op">=</span><span class="st">'+'</span>)</span>
 <span id="cb14-2"><a href="#cb14-2" aria-hidden="true" tabindex="-1"></a>ts[<span class="st">"Sign. Wave Height"</span>].plot(ax<span class="op">=</span>ax,marker<span class="op">=</span><span class="st">'+'</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
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@@ -479,7 +479,7 @@ <h2 class="anchored" data-anchor-id="model-validation">Model validation</h2>
 <p>In the example below we calculate this metric using the model data interpolated to the observed times.</p>
 <p>For a more elaborate model validation library which takes care of these things for you as well as calculating a number of relevant metrics, take a look at <a href="https://dhi.github.io/modelskill">`ModelSkill</a>.</p>
 <p>Use <code>np.nanmean</code> to skip NaN.</p>
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 <div class="sourceCode cell-code" id="cb15"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb15-1"><a href="#cb15-1" aria-hidden="true" tabindex="-1"></a>ts[<span class="st">"Sign. Wave Height"</span>]</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
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 <pre><code>&lt;mikeio.DataArray&gt;
@@ -490,7 +490,7 @@ <h2 class="anchored" data-anchor-id="model-validation">Model validation</h2>
 values: [0.06521, 0.06771, ..., 0.0576]</code></pre>
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 <div class="sourceCode cell-code" id="cb17"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb17-1"><a href="#cb17-1" aria-hidden="true" tabindex="-1"></a>dsi[<span class="st">"Sign. Wave Height"</span>].sel(x<span class="op">=</span><span class="dv">250</span>, y<span class="op">=</span><span class="dv">1200</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
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 <pre><code>&lt;mikeio.DataArray&gt;
@@ -501,7 +501,7 @@ <h2 class="anchored" data-anchor-id="model-validation">Model validation</h2>
 values: [0.0387, 0.03939, ..., nan]</code></pre>
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 <div class="sourceCode cell-code" id="cb19"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb19-1"><a href="#cb19-1" aria-hidden="true" tabindex="-1"></a>diff <span class="op">=</span> (ts[<span class="st">"Sign. Wave Height"</span>]  <span class="op">-</span> dsi[<span class="st">"Sign. Wave Height"</span>].sel(x<span class="op">=</span><span class="dv">250</span>, y<span class="op">=</span><span class="dv">1200</span>))</span>
 <span id="cb19-2"><a href="#cb19-2" aria-hidden="true" tabindex="-1"></a>diff.plot()</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
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@@ -512,7 +512,7 @@ <h2 class="anchored" data-anchor-id="model-validation">Model validation</h2>
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 <div class="sourceCode cell-code" id="cb20"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb20-1"><a href="#cb20-1" aria-hidden="true" tabindex="-1"></a>mae <span class="op">=</span> np.<span class="bu">abs</span>(diff).nanmean().to_numpy()</span>
 <span id="cb20-2"><a href="#cb20-2" aria-hidden="true" tabindex="-1"></a>mae</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
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@@ -522,7 +522,7 @@ <h2 class="anchored" data-anchor-id="model-validation">Model validation</h2>
 </section>
 <section id="clean-up" class="level1">
 <h1>Clean up</h1>
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 <div class="sourceCode cell-code" id="cb22"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb22-1"><a href="#cb22-1" aria-hidden="true" tabindex="-1"></a><span class="im">import</span> os</span>
 <span id="cb22-2"><a href="#cb22-2" aria-hidden="true" tabindex="-1"></a>os.remove(<span class="st">"waves_3h.dfs2"</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
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