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-    <title>First steps with Frequency MOCs &#8212; MOCPy 0.16.2 documentation</title>
+    <title>First steps with Frequency MOCs &#8212; MOCPy 0.17.0 documentation</title>
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@@ -87,9 +87,9 @@ <h1>First steps with Frequency MOCs<a class="headerlink" href="#First-steps-with
 <div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[1]:
 </pre></div>
 </div>
-<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span>import matplotlib.pyplot as plt
-import numpy as np
-from mocpy import FrequencyMOC
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">from</span> <span class="nn">mocpy</span> <span class="kn">import</span> <span class="n">FrequencyMOC</span>
 </pre></div>
 </div>
 </div>
@@ -99,7 +99,7 @@ <h1>First steps with Frequency MOCs<a class="headerlink" href="#First-steps-with
 <div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[2]:
 </pre></div>
 </div>
-<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span>fmoc = FrequencyMOC.from_fits(&quot;../resources/FMOC/P2012180.fits&quot;)
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">fmoc</span> <span class="o">=</span> <span class="n">FrequencyMOC</span><span class="o">.</span><span class="n">from_fits</span><span class="p">(</span><span class="s2">&quot;../resources/FMOC/P2012180.fits&quot;</span><span class="p">)</span>
 </pre></div>
 </div>
 </div>
@@ -108,13 +108,13 @@ <h1>First steps with Frequency MOCs<a class="headerlink" href="#First-steps-with
 <div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[3]:
 </pre></div>
 </div>
-<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span>fig, ax = plt.subplots(figsize=(15, 1))
-fmoc.plot_frequencies(ax, color=&quot;purple&quot;)
-# this method plots the frequency ranges in log scale by default
-# but we can change it to linear if needed
-ax.set(xscale=&quot;linear&quot;)
-# and any customization on the ax of fig objects will work too
-ax.spines[[&quot;left&quot;, &quot;top&quot;, &quot;right&quot;]].set_visible(False)
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">15</span><span class="p">,</span> <span class="mi">1</span><span class="p">))</span>
+<span class="n">fmoc</span><span class="o">.</span><span class="n">plot_frequencies</span><span class="p">(</span><span class="n">ax</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s2">&quot;purple&quot;</span><span class="p">)</span>
+<span class="c1"># this method plots the frequency ranges in log scale by default</span>
+<span class="c1"># but we can change it to linear if needed</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">set</span><span class="p">(</span><span class="n">xscale</span><span class="o">=</span><span class="s2">&quot;linear&quot;</span><span class="p">)</span>
+<span class="c1"># and any customization on the ax of fig objects will work too</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">spines</span><span class="p">[[</span><span class="s2">&quot;left&quot;</span><span class="p">,</span> <span class="s2">&quot;top&quot;</span><span class="p">,</span> <span class="s2">&quot;right&quot;</span><span class="p">]]</span><span class="o">.</span><span class="n">set_visible</span><span class="p">(</span><span class="kc">False</span><span class="p">)</span>
 </pre></div>
 </div>
 </div>
@@ -129,8 +129,8 @@ <h1>First steps with Frequency MOCs<a class="headerlink" href="#First-steps-with
 <div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[4]:
 </pre></div>
 </div>
-<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span>fig, ax = plt.subplots(figsize=(15, 1))
-fmoc.plot_wavelengths(ax, color=&quot;g&quot;, length_unit=&quot;km&quot;)
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">15</span><span class="p">,</span> <span class="mi">1</span><span class="p">))</span>
+<span class="n">fmoc</span><span class="o">.</span><span class="n">plot_wavelengths</span><span class="p">(</span><span class="n">ax</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s2">&quot;g&quot;</span><span class="p">,</span> <span class="n">length_unit</span><span class="o">=</span><span class="s2">&quot;km&quot;</span><span class="p">)</span>
 </pre></div>
 </div>
 </div>
@@ -146,11 +146,11 @@ <h1>First steps with Frequency MOCs<a class="headerlink" href="#First-steps-with
 <div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[5]:
 </pre></div>
 </div>
-<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span>print(
-    f&quot;we first create an initial FMOC at order {fmoc.max_order}&quot;
-    &quot; and then generate the dictionnary&quot;,
-)
-fmocs = {n: fmoc.degrade_to_order(n) for n in np.linspace(50, 10, 5, dtype=int)}
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="nb">print</span><span class="p">(</span>
+    <span class="sa">f</span><span class="s2">&quot;we first create an initial FMOC at order </span><span class="si">{</span><span class="n">fmoc</span><span class="o">.</span><span class="n">max_order</span><span class="si">}</span><span class="s2">&quot;</span>
+    <span class="s2">&quot; and then generate the dictionnary&quot;</span><span class="p">,</span>
+<span class="p">)</span>
+<span class="n">fmocs</span> <span class="o">=</span> <span class="p">{</span><span class="n">n</span><span class="p">:</span> <span class="n">fmoc</span><span class="o">.</span><span class="n">degrade_to_order</span><span class="p">(</span><span class="n">n</span><span class="p">)</span> <span class="k">for</span> <span class="n">n</span> <span class="ow">in</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="mi">50</span><span class="p">,</span> <span class="mi">10</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="nb">int</span><span class="p">)}</span>
 </pre></div>
 </div>
 </div>
@@ -166,11 +166,11 @@ <h1>First steps with Frequency MOCs<a class="headerlink" href="#First-steps-with
 <div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[6]:
 </pre></div>
 </div>
-<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span>for order in fmocs:
-    print(
-        f&quot;At order {order}, this F-MOC has {len(fmocs[order].to_hz_ranges())} &quot;
-        &quot;non overlapping spectral intervals&quot;,
-    )
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="k">for</span> <span class="n">order</span> <span class="ow">in</span> <span class="n">fmocs</span><span class="p">:</span>
+    <span class="nb">print</span><span class="p">(</span>
+        <span class="sa">f</span><span class="s2">&quot;At order </span><span class="si">{</span><span class="n">order</span><span class="si">}</span><span class="s2">, this F-MOC has </span><span class="si">{</span><span class="nb">len</span><span class="p">(</span><span class="n">fmocs</span><span class="p">[</span><span class="n">order</span><span class="p">]</span><span class="o">.</span><span class="n">to_hz_ranges</span><span class="p">())</span><span class="si">}</span><span class="s2"> &quot;</span>
+        <span class="s2">&quot;non overlapping spectral intervals&quot;</span><span class="p">,</span>
+    <span class="p">)</span>
 </pre></div>
 </div>
 </div>
@@ -190,11 +190,11 @@ <h1>First steps with Frequency MOCs<a class="headerlink" href="#First-steps-with
 <div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[7]:
 </pre></div>
 </div>
-<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span>for order in fmocs:
-    print(
-        f&quot;At order {order}, the spectrum covers {round(fmocs[order].to_hz_ranges()[0][0])} Hz&quot;
-        &quot; to {round(fmocs[order].to_hz_ranges()[-1][1])} Hz&quot;,
-    )
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="k">for</span> <span class="n">order</span> <span class="ow">in</span> <span class="n">fmocs</span><span class="p">:</span>
+    <span class="nb">print</span><span class="p">(</span>
+        <span class="sa">f</span><span class="s2">&quot;At order </span><span class="si">{</span><span class="n">order</span><span class="si">}</span><span class="s2">, the spectrum covers </span><span class="si">{</span><span class="nb">round</span><span class="p">(</span><span class="n">fmocs</span><span class="p">[</span><span class="n">order</span><span class="p">]</span><span class="o">.</span><span class="n">to_hz_ranges</span><span class="p">()[</span><span class="mi">0</span><span class="p">][</span><span class="mi">0</span><span class="p">])</span><span class="si">}</span><span class="s2"> Hz&quot;</span>
+        <span class="s2">&quot; to {round(fmocs[order].to_hz_ranges()[-1][1])} Hz&quot;</span><span class="p">,</span>
+    <span class="p">)</span>
 </pre></div>
 </div>
 </div>
@@ -239,7 +239,7 @@ <h1>First steps with Frequency MOCs<a class="headerlink" href="#First-steps-with
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