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Allen Downey
2021-03-26 11:33:29 -04:00
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2
01_query.html
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@@ -617,7 +617,7 @@ We’ll use this clause to exclude nearby stars that are unlikely to be part of
<p>We use <code class="docutils literal notranslate"><span class="pre">launch_job_async</span></code> to submit an asynchronous query.</p>
<div class="cell docutils container">
<div class="cell_input docutils container">
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">job</span> <span class="o">=</span> <span class="n">Gaia</span><span class="o">.</span><span class="n">launch_job_async</span><span class="p">(</span><span class="n">query</span><span class="p">)</span>
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">job</span> <span class="o">=</span> <span class="n">Gaia</span><span class="o">.</span><span class="n">launch_job_async</span><span class="p">(</span><span class="n">query2</span><span class="p">)</span>
<span class="n">job</span>
</pre></div>
</div>

9
02_coords.html
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@@ -440,14 +440,9 @@ For example:</p>
<h3>Exercise<a class="headerlink" href="#exercise" title="Permalink to this headline"></a></h3>
<p>Create a quantity that represents 5 <a class="reference external" href="https://en.wikipedia.org/wiki/Minute_and_second_of_arc">arcminutes</a> and assign it to a variable called <code class="docutils literal notranslate"><span class="pre">radius</span></code>.</p>
<p>Then convert it to degrees.</p>
<div class="cell docutils container">
<div class="cell tag_hide-cell docutils container">
<div class="cell_input docutils container">
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1">## Solution</span>
<span class="n">radius</span> <span class="o">=</span> <span class="mi">5</span> <span class="o">*</span> <span class="n">u</span><span class="o">.</span><span class="n">arcmin</span>
<span class="nb">print</span><span class="p">(</span><span class="n">radius</span><span class="p">)</span>
<span class="n">radius</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">u</span><span class="o">.</span><span class="n">degree</span><span class="p">)</span>
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Solution goes here</span>
</pre></div>
</div>
</div>

2
03_motion.html
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@@ -385,7 +385,7 @@
<span class="n">IN_COLAB</span> <span class="o">=</span> <span class="s1">&#39;google.colab&#39;</span> <span class="ow">in</span> <span class="n">sys</span><span class="o">.</span><span class="n">modules</span>
<span class="k">if</span> <span class="n">IN_COLAB</span><span class="p">:</span>
<span class="o">!</span>pip install astroquery astro-gala wget
<span class="o">!</span>pip install astroquery astro-gala
</pre></div>
</div>
</div>

5
04_select.html
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@@ -344,7 +344,7 @@ We’ll also see how to write the results to a CSV file.</p>
<span class="n">IN_COLAB</span> <span class="o">=</span> <span class="s1">&#39;google.colab&#39;</span> <span class="ow">in</span> <span class="n">sys</span><span class="o">.</span><span class="n">modules</span>
<span class="k">if</span> <span class="n">IN_COLAB</span><span class="p">:</span>
<span class="o">!</span>pip install astroquery astro-gala wget
<span class="o">!</span>pip install astroquery astro-gala
</pre></div>
</div>
</div>
@@ -352,7 +352,7 @@ We’ll also see how to write the results to a CSV file.</p>
</div>
<div class="section" id="reload-the-data">
<h2>Reload the data<a class="headerlink" href="#reload-the-data" title="Permalink to this headline"></a></h2>
<p>The following cells download the data from the previous lesson, if necessary, and load it into a Pandas <code class="docutils literal notranslate"><span class="pre">DataFrame</span></code>.</p>
<p>You can <a class="reference external" href="https://github.com/AllenDowney/AstronomicalData/raw/main/data/gd1_data.hdf">download the data from the previous lesson</a> or run the following cell, which downloads it if necessary.</p>
<div class="cell docutils container">
<div class="cell_input docutils container">
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">os.path</span> <span class="kn">import</span> <span class="n">basename</span><span class="p">,</span> <span class="n">exists</span>
@@ -370,6 +370,7 @@ We’ll also see how to write the results to a CSV file.</p>
</div>
</div>
</div>
<p>Now we can reload <code class="docutils literal notranslate"><span class="pre">centerline_df</span></code> and <code class="docutils literal notranslate"><span class="pre">selected_df</span></code>.</p>
<div class="cell docutils container">
<div class="cell_input docutils container">
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>

42
05_join.html
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@@ -702,27 +702,6 @@ The result should contain 490 rows and 9 columns.</p>
</div>
</div>
</div>
<div class="cell tag_hide-cell docutils container">
<div class="cell_input docutils container">
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Solution goes here</span>
</pre></div>
</div>
</div>
</div>
<div class="cell tag_hide-cell docutils container">
<div class="cell_input docutils container">
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Solution goes here</span>
</pre></div>
</div>
</div>
</div>
<div class="cell tag_hide-cell docutils container">
<div class="cell_input docutils container">
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Solution goes here</span>
</pre></div>
</div>
</div>
</div>
</div>
</div>
<div class="section" id="selecting-by-coordinates-and-proper-motion">
@@ -800,27 +779,6 @@ Format the query base using the column names in <code class="docutils literal no
</div>
</div>
</div>
<div class="cell tag_hide-cell docutils container">
<div class="cell_input docutils container">
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Solution goes here</span>
</pre></div>
</div>
</div>
</div>
<div class="cell tag_hide-cell docutils container">
<div class="cell_input docutils container">
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Solution goes here</span>
</pre></div>
</div>
</div>
</div>
<div class="cell tag_hide-cell docutils container">
<div class="cell_input docutils container">
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Solution goes here</span>
</pre></div>
</div>
</div>
</div>
</div>
</div>
<div class="section" id="checking-the-match">

75
06_photo.html
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@@ -243,11 +243,6 @@
Outline
</a>
</li>
<li class="toc-h2 nav-item toc-entry">
<a class="reference internal nav-link" href="#installing-libraries">
Installing libraries
</a>
</li>
<li class="toc-h2 nav-item toc-entry">
<a class="reference internal nav-link" href="#reload-the-data">
Reload the data
@@ -332,45 +327,32 @@ The following figure from the paper is a color-magnitude diagram showing the sta
<li><p>Use Pandas to merge data from multiple <code class="docutils literal notranslate"><span class="pre">DataFrames</span></code>, much like a database <code class="docutils literal notranslate"><span class="pre">JOIN</span></code> operation.</p></li>
</ul>
</div>
<div class="section" id="installing-libraries">
<h2>Installing libraries<a class="headerlink" href="#installing-libraries" title="Permalink to this headline"></a></h2>
<p>If you are running this notebook on Colab, you can run the following cell to install the libraries we’ll use.</p>
<p>If you are running this notebook on your own computer, you might have to install these libraries yourself. See the instructions in the preface.</p>
<div class="cell docutils container">
<div class="cell_input docutils container">
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># If we&#39;re running on Colab, install libraries</span>
<span class="kn">import</span> <span class="nn">sys</span>
<span class="n">IN_COLAB</span> <span class="o">=</span> <span class="s1">&#39;google.colab&#39;</span> <span class="ow">in</span> <span class="n">sys</span><span class="o">.</span><span class="n">modules</span>
<span class="k">if</span> <span class="n">IN_COLAB</span><span class="p">:</span>
<span class="o">!</span>pip install wget
</pre></div>
</div>
</div>
</div>
</div>
<div class="section" id="reload-the-data">
<h2>Reload the data<a class="headerlink" href="#reload-the-data" title="Permalink to this headline"></a></h2>
<p>The following cell downloads the photometry data we created in the previous notebook.</p>
<p>You can <a class="reference external" href="https://github.com/AllenDowney/AstronomicalData/raw/main/data/gd1_data.hdf">download the data from the previous lesson</a> or run the following cell, which downloads it if necessary.</p>
<div class="cell docutils container">
<div class="cell_input docutils container">
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">os</span>
<span class="kn">from</span> <span class="nn">wget</span> <span class="kn">import</span> <span class="n">download</span>
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">os.path</span> <span class="kn">import</span> <span class="n">basename</span><span class="p">,</span> <span class="n">exists</span>
<span class="n">filename</span> <span class="o">=</span> <span class="s1">&#39;gd1_data.hdf&#39;</span>
<span class="n">filepath</span> <span class="o">=</span> <span class="s1">&#39;https://github.com/AllenDowney/AstronomicalData/raw/main/data/&#39;</span>
<span class="k">def</span> <span class="nf">download</span><span class="p">(</span><span class="n">url</span><span class="p">):</span>
<span class="n">filename</span> <span class="o">=</span> <span class="n">basename</span><span class="p">(</span><span class="n">url</span><span class="p">)</span>
<span class="k">if</span> <span class="ow">not</span> <span class="n">exists</span><span class="p">(</span><span class="n">filename</span><span class="p">):</span>
<span class="kn">from</span> <span class="nn">urllib.request</span> <span class="kn">import</span> <span class="n">urlretrieve</span>
<span class="n">local</span><span class="p">,</span> <span class="n">_</span> <span class="o">=</span> <span class="n">urlretrieve</span><span class="p">(</span><span class="n">url</span><span class="p">,</span> <span class="n">filename</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Downloaded &#39;</span> <span class="o">+</span> <span class="n">local</span><span class="p">)</span>
<span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">filename</span><span class="p">):</span>
<span class="nb">print</span><span class="p">(</span><span class="n">download</span><span class="p">(</span><span class="n">filepath</span><span class="o">+</span><span class="n">filename</span><span class="p">))</span>
<span class="n">download</span><span class="p">(</span><span class="s1">&#39;https://github.com/AllenDowney/AstronomicalData/raw/main/&#39;</span> <span class="o">+</span>
<span class="s1">&#39;data/gd1_data.hdf&#39;</span><span class="p">)</span>
</pre></div>
</div>
</div>
</div>
<p>Now we can reload <code class="docutils literal notranslate"><span class="pre">candidate_df</span></code>.</p>
<div class="cell docutils container">
<div class="cell_input docutils container">
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
<span class="n">filename</span> <span class="o">=</span> <span class="s1">&#39;gd1_data.hdf&#39;</span>
<span class="n">candidate_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_hdf</span><span class="p">(</span><span class="n">filename</span><span class="p">,</span> <span class="s1">&#39;candidate_df&#39;</span><span class="p">)</span>
</pre></div>
</div>
@@ -449,14 +431,8 @@ The input can be an Astropy <code class="docutils literal notranslate"><span cla
<p>The following cell downloads the results:</p>
<div class="cell docutils container">
<div class="cell_input docutils container">
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">os</span>
<span class="kn">from</span> <span class="nn">wget</span> <span class="kn">import</span> <span class="n">download</span>
<span class="n">filename</span> <span class="o">=</span> <span class="s1">&#39;MIST_iso_5fd2532653c27.iso.cmd&#39;</span>
<span class="n">filepath</span> <span class="o">=</span> <span class="s1">&#39;https://github.com/AllenDowney/AstronomicalData/raw/main/data/&#39;</span>
<span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">filename</span><span class="p">):</span>
<span class="nb">print</span><span class="p">(</span><span class="n">download</span><span class="p">(</span><span class="n">filepath</span><span class="o">+</span><span class="n">filename</span><span class="p">))</span>
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">download</span><span class="p">(</span><span class="s1">&#39;https://github.com/AllenDowney/AstronomicalData/raw/main/&#39;</span> <span class="o">+</span>
<span class="s1">&#39;data/MIST_iso_5fd2532653c27.iso.cmd&#39;</span><span class="p">)</span>
</pre></div>
</div>
</div>
@@ -464,14 +440,8 @@ The input can be an Astropy <code class="docutils literal notranslate"><span cla
<p>To read this file we’ll download a Python module <a class="reference external" href="https://github.com/jieunchoi/MIST_codes">from this repository</a>.</p>
<div class="cell docutils container">
<div class="cell_input docutils container">
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">os</span>
<span class="kn">from</span> <span class="nn">wget</span> <span class="kn">import</span> <span class="n">download</span>
<span class="n">filename</span> <span class="o">=</span> <span class="s1">&#39;read_mist_models.py&#39;</span>
<span class="n">filepath</span> <span class="o">=</span> <span class="s1">&#39;https://github.com/jieunchoi/MIST_codes/raw/master/scripts/&#39;</span>
<span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">filename</span><span class="p">):</span>
<span class="nb">print</span><span class="p">(</span><span class="n">download</span><span class="p">(</span><span class="n">filepath</span><span class="o">+</span><span class="n">filename</span><span class="p">))</span>
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">download</span><span class="p">(</span><span class="s1">&#39;https://github.com/jieunchoi/MIST_codes/raw/master/scripts/&#39;</span> <span class="o">+</span>
<span class="s1">&#39;read_mist_models.py&#39;</span><span class="p">)</span>
</pre></div>
</div>
</div>
@@ -624,14 +594,8 @@ The input can be an Astropy <code class="docutils literal notranslate"><span cla
<p>The following cell downloads the isochrone we made in the previous section, if necessary.</p>
<div class="cell docutils container">
<div class="cell_input docutils container">
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">os</span>
<span class="kn">from</span> <span class="nn">wget</span> <span class="kn">import</span> <span class="n">download</span>
<span class="n">filename</span> <span class="o">=</span> <span class="s1">&#39;gd1_isochrone.hdf5&#39;</span>
<span class="n">filepath</span> <span class="o">=</span> <span class="s1">&#39;https://github.com/AllenDowney/AstronomicalData/raw/main/data/&#39;</span>
<span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">filename</span><span class="p">):</span>
<span class="nb">print</span><span class="p">(</span><span class="n">download</span><span class="p">(</span><span class="n">filepath</span><span class="o">+</span><span class="n">filename</span><span class="p">))</span>
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">download</span><span class="p">(</span><span class="s1">&#39;https://github.com/AllenDowney/AstronomicalData/raw/main/data/&#39;</span> <span class="o">+</span>
<span class="s1">&#39;gd1_isochrone.hdf5&#39;</span><span class="p">)</span>
</pre></div>
</div>
</div>
@@ -639,7 +603,8 @@ The input can be an Astropy <code class="docutils literal notranslate"><span cla
<p>Now we can read it back in.</p>
<div class="cell docutils container">
<div class="cell_input docutils container">
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">iso_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_hdf</span><span class="p">(</span><span class="n">filename</span><span class="p">,</span> <span class="s1">&#39;iso_df&#39;</span><span class="p">)</span>
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">filename</span> <span class="o">=</span> <span class="s1">&#39;gd1_isochrone.hdf5&#39;</span>
<span class="n">iso_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_hdf</span><span class="p">(</span><span class="n">filename</span><span class="p">,</span> <span class="s1">&#39;iso_df&#39;</span><span class="p">)</span>
<span class="n">iso_df</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
</pre></div>
</div>

56
07_plot.html
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@@ -242,11 +242,6 @@
Outline
</a>
</li>
<li class="toc-h2 nav-item toc-entry">
<a class="reference internal nav-link" href="#installing-libraries">
Installing libraries
</a>
</li>
<li class="toc-h2 nav-item toc-entry">
<a class="reference internal nav-link" href="#making-figures-that-tell-a-story">
Making Figures That Tell a Story
@@ -389,24 +384,6 @@
<li><p>Generate a figure with multiple subplots.</p></li>
</ul>
</div>
<div class="section" id="installing-libraries">
<h2>Installing libraries<a class="headerlink" href="#installing-libraries" title="Permalink to this headline"></a></h2>
<p>If you are running this notebook on Colab, you can run the following cell to install the libraries we’ll use.</p>
<p>If you are running this notebook on your own computer, you might have to install these libraries yourself. See the instructions in the preface.</p>
<div class="cell docutils container">
<div class="cell_input docutils container">
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># If we&#39;re running on Colab, install libraries</span>
<span class="kn">import</span> <span class="nn">sys</span>
<span class="n">IN_COLAB</span> <span class="o">=</span> <span class="s1">&#39;google.colab&#39;</span> <span class="ow">in</span> <span class="n">sys</span><span class="o">.</span><span class="n">modules</span>
<span class="k">if</span> <span class="n">IN_COLAB</span><span class="p">:</span>
<span class="o">!</span>pip install wget
</pre></div>
</div>
</div>
</div>
</div>
<div class="section" id="making-figures-that-tell-a-story">
<h2>Making Figures That Tell a Story<a class="headerlink" href="#making-figures-that-tell-a-story" title="Permalink to this headline"></a></h2>
<p>So far the figure we’ve made have been “quick and dirty”. Mostly we have used Matplotlib’s default style, although we have adjusted a few parameters, like <code class="docutils literal notranslate"><span class="pre">markersize</span></code> and <code class="docutils literal notranslate"><span class="pre">alpha</span></code>, to improve legibility.</p>
@@ -438,25 +415,30 @@
</div>
<div class="section" id="plotting-gd-1">
<h2>Plotting GD-1<a class="headerlink" href="#plotting-gd-1" title="Permalink to this headline"></a></h2>
<p>Let’s start with the panel in the lower left. The following cell reloads the data.</p>
<p>Let’s start with the panel in the lower left. You can <a class="reference external" href="https://github.com/AllenDowney/AstronomicalData/raw/main/data/gd1_data.hdf">download the data from the previous lesson</a> or run the following cell, which downloads it if necessary.</p>
<div class="cell docutils container">
<div class="cell_input docutils container">
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">os</span>
<span class="kn">from</span> <span class="nn">wget</span> <span class="kn">import</span> <span class="n">download</span>
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">os.path</span> <span class="kn">import</span> <span class="n">basename</span><span class="p">,</span> <span class="n">exists</span>
<span class="n">filename</span> <span class="o">=</span> <span class="s1">&#39;gd1_data.hdf&#39;</span>
<span class="n">path</span> <span class="o">=</span> <span class="s1">&#39;https://github.com/AllenDowney/AstronomicalData/raw/main/data/&#39;</span>
<span class="k">def</span> <span class="nf">download</span><span class="p">(</span><span class="n">url</span><span class="p">):</span>
<span class="n">filename</span> <span class="o">=</span> <span class="n">basename</span><span class="p">(</span><span class="n">url</span><span class="p">)</span>
<span class="k">if</span> <span class="ow">not</span> <span class="n">exists</span><span class="p">(</span><span class="n">filename</span><span class="p">):</span>
<span class="kn">from</span> <span class="nn">urllib.request</span> <span class="kn">import</span> <span class="n">urlretrieve</span>
<span class="n">local</span><span class="p">,</span> <span class="n">_</span> <span class="o">=</span> <span class="n">urlretrieve</span><span class="p">(</span><span class="n">url</span><span class="p">,</span> <span class="n">filename</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Downloaded &#39;</span> <span class="o">+</span> <span class="n">local</span><span class="p">)</span>
<span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">filename</span><span class="p">):</span>
<span class="nb">print</span><span class="p">(</span><span class="n">download</span><span class="p">(</span><span class="n">path</span><span class="o">+</span><span class="n">filename</span><span class="p">))</span>
<span class="n">download</span><span class="p">(</span><span class="s1">&#39;https://github.com/AllenDowney/AstronomicalData/raw/main/&#39;</span> <span class="o">+</span>
<span class="s1">&#39;data/gd1_data.hdf&#39;</span><span class="p">)</span>
</pre></div>
</div>
</div>
</div>
<p>Now we can reload <code class="docutils literal notranslate"><span class="pre">winner_df</span></code></p>
<div class="cell docutils container">
<div class="cell_input docutils container">
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
<span class="n">filename</span> <span class="o">=</span> <span class="s1">&#39;gd1_data.hdf&#39;</span>
<span class="n">winner_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_hdf</span><span class="p">(</span><span class="n">filename</span><span class="p">,</span> <span class="s1">&#39;winner_df&#39;</span><span class="p">)</span>
</pre></div>
</div>
@@ -587,17 +569,11 @@
<p>The style sheet you choose will affect the appearance of all figures you plot after calling <code class="docutils literal notranslate"><span class="pre">use</span></code>, unless you override any of the options or call <code class="docutils literal notranslate"><span class="pre">use</span></code> again.</p>
<p>As an exercise, choose one of the styles on the list and select it by calling <code class="docutils literal notranslate"><span class="pre">use</span></code>. Then go back and plot one of the figures above and see what effect it has.</p>
<p>If you can’t find a style sheet that’s exactly what you want, you can make your own. This repository includes a style sheet called <code class="docutils literal notranslate"><span class="pre">az-paper-twocol.mplstyle</span></code>, with customizations chosen by Azalee Bostroem for publication in astronomy journals.</p>
<p>The following cell downloads the style sheet.</p>
<p>You can <a class="reference external" href="https://github.com/AllenDowney/AstronomicalData/raw/main/az-paper-twocol.mplstyle">download the style sheet</a> or run the following cell, which downloads it if necessary.</p>
<div class="cell docutils container">
<div class="cell_input docutils container">
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">os</span>
<span class="kn">from</span> <span class="nn">wget</span> <span class="kn">import</span> <span class="n">download</span>
<span class="n">filename</span> <span class="o">=</span> <span class="s1">&#39;az-paper-twocol.mplstyle&#39;</span>
<span class="n">path</span> <span class="o">=</span> <span class="s1">&#39;https://github.com/AllenDowney/AstronomicalData/raw/main/&#39;</span>
<span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">filename</span><span class="p">):</span>
<span class="nb">print</span><span class="p">(</span><span class="n">download</span><span class="p">(</span><span class="n">path</span><span class="o">+</span><span class="n">filename</span><span class="p">))</span>
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">download</span><span class="p">(</span><span class="s1">&#39;https://github.com/AllenDowney/AstronomicalData/raw/main/&#39;</span> <span class="o">+</span>
<span class="s1">&#39;az-paper-twocol.mplstyle&#39;</span><span class="p">)</span>
</pre></div>
</div>
</div>
@@ -919,7 +895,7 @@
<h2>Best practices<a class="headerlink" href="#best-practices" title="Permalink to this headline"></a></h2>
<ul class="simple">
<li><p>The most effective figures focus on telling a single story clearly and compellingly.</p></li>
<li><p>Consider using annotations to guide the readers attention to the most important elements of a figure.</p></li>
<li><p>Consider using annotations to guide the reader’s attention to the most important elements of a figure.</p></li>
<li><p>The default Matplotlib style generates good quality figures, but there are several ways you can override the defaults.</p></li>
<li><p>If you find yourself making the same customizations on several projects, you might want to create your own style sheet.</p></li>
</ul>

2
_sources/01_query.ipynb
View File

@@ -503,7 +503,7 @@
"metadata": {},
"outputs": [],
"source": [
"job = Gaia.launch_job_async(query)\n",
"job = Gaia.launch_job_async(query2)\n",
"job"
]
},

13
_sources/02_coords.ipynb
View File

@@ -210,15 +210,14 @@
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"metadata": {
"tags": [
"hide-cell"
]
},
"outputs": [],
"source": [
"## Solution\n",
"\n",
"radius = 5 * u.arcmin\n",
"print(radius)\n",
"\n",
"radius.to(u.degree)"
"# Solution goes here"
]
},
{

110
_sources/03_motion.ipynb
View File

@@ -57,7 +57,7 @@
},
{
"cell_type": "code",
"execution_count": 1,
"execution_count": 55,
"metadata": {
"tags": []
},
@@ -69,7 +69,7 @@
"IN_COLAB = 'google.colab' in sys.modules\n",
"\n",
"if IN_COLAB:\n",
" !pip install astroquery astro-gala wget"
" !pip install astroquery astro-gala"
]
},
{
@@ -87,7 +87,7 @@
},
{
"cell_type": "code",
"execution_count": 1,
"execution_count": 56,
"metadata": {},
"outputs": [],
"source": [
@@ -113,7 +113,7 @@
},
{
"cell_type": "code",
"execution_count": 2,
"execution_count": 57,
"metadata": {},
"outputs": [],
"source": [
@@ -134,7 +134,7 @@
},
{
"cell_type": "code",
"execution_count": 3,
"execution_count": 58,
"metadata": {},
"outputs": [],
"source": [
@@ -154,7 +154,7 @@
},
{
"cell_type": "code",
"execution_count": 4,
"execution_count": 59,
"metadata": {},
"outputs": [],
"source": [
@@ -170,7 +170,7 @@
},
{
"cell_type": "code",
"execution_count": 5,
"execution_count": 60,
"metadata": {},
"outputs": [],
"source": [
@@ -186,7 +186,7 @@
},
{
"cell_type": "code",
"execution_count": 6,
"execution_count": 61,
"metadata": {},
"outputs": [],
"source": [
@@ -202,7 +202,7 @@
},
{
"cell_type": "code",
"execution_count": 7,
"execution_count": 62,
"metadata": {},
"outputs": [],
"source": [
@@ -218,7 +218,7 @@
},
{
"cell_type": "code",
"execution_count": 8,
"execution_count": 63,
"metadata": {},
"outputs": [],
"source": [
@@ -237,7 +237,7 @@
},
{
"cell_type": "code",
"execution_count": 9,
"execution_count": 64,
"metadata": {},
"outputs": [],
"source": [
@@ -253,7 +253,7 @@
},
{
"cell_type": "code",
"execution_count": 10,
"execution_count": 65,
"metadata": {},
"outputs": [],
"source": [
@@ -281,7 +281,7 @@
},
{
"cell_type": "code",
"execution_count": 11,
"execution_count": 66,
"metadata": {},
"outputs": [],
"source": [
@@ -321,7 +321,7 @@
},
{
"cell_type": "code",
"execution_count": 12,
"execution_count": 67,
"metadata": {},
"outputs": [],
"source": [
@@ -364,7 +364,7 @@
},
{
"cell_type": "code",
"execution_count": 13,
"execution_count": 68,
"metadata": {
"tags": [
"hide-cell"
@@ -395,7 +395,7 @@
},
{
"cell_type": "code",
"execution_count": 14,
"execution_count": 69,
"metadata": {},
"outputs": [],
"source": [
@@ -417,7 +417,7 @@
},
{
"cell_type": "code",
"execution_count": 15,
"execution_count": 70,
"metadata": {},
"outputs": [],
"source": [
@@ -447,7 +447,7 @@
},
{
"cell_type": "code",
"execution_count": 16,
"execution_count": 71,
"metadata": {},
"outputs": [],
"source": [
@@ -492,7 +492,7 @@
},
{
"cell_type": "code",
"execution_count": 17,
"execution_count": 72,
"metadata": {},
"outputs": [],
"source": [
@@ -516,7 +516,7 @@
},
{
"cell_type": "code",
"execution_count": 18,
"execution_count": 73,
"metadata": {
"scrolled": true
},
@@ -548,7 +548,7 @@
},
{
"cell_type": "code",
"execution_count": 19,
"execution_count": 74,
"metadata": {},
"outputs": [],
"source": [
@@ -564,7 +564,7 @@
},
{
"cell_type": "code",
"execution_count": 20,
"execution_count": 75,
"metadata": {},
"outputs": [],
"source": [
@@ -590,7 +590,7 @@
},
{
"cell_type": "code",
"execution_count": 22,
"execution_count": 76,
"metadata": {},
"outputs": [],
"source": [
@@ -608,7 +608,7 @@
},
{
"cell_type": "code",
"execution_count": 23,
"execution_count": 77,
"metadata": {},
"outputs": [],
"source": [
@@ -624,7 +624,7 @@
},
{
"cell_type": "code",
"execution_count": 24,
"execution_count": 78,
"metadata": {},
"outputs": [],
"source": [
@@ -647,7 +647,7 @@
},
{
"cell_type": "code",
"execution_count": 25,
"execution_count": 79,
"metadata": {},
"outputs": [],
"source": [
@@ -665,7 +665,7 @@
},
{
"cell_type": "code",
"execution_count": 26,
"execution_count": 80,
"metadata": {},
"outputs": [],
"source": [
@@ -695,7 +695,7 @@
},
{
"cell_type": "code",
"execution_count": 27,
"execution_count": 81,
"metadata": {},
"outputs": [],
"source": [
@@ -717,7 +717,7 @@
},
{
"cell_type": "code",
"execution_count": 40,
"execution_count": 82,
"metadata": {
"tags": [
"hide-cell"
@@ -757,7 +757,7 @@
},
{
"cell_type": "code",
"execution_count": 28,
"execution_count": 83,
"metadata": {},
"outputs": [],
"source": [
@@ -779,7 +779,7 @@
},
{
"cell_type": "code",
"execution_count": 29,
"execution_count": 84,
"metadata": {},
"outputs": [],
"source": [
@@ -821,7 +821,7 @@
},
{
"cell_type": "code",
"execution_count": 31,
"execution_count": 85,
"metadata": {},
"outputs": [],
"source": [
@@ -840,7 +840,7 @@
},
{
"cell_type": "code",
"execution_count": 32,
"execution_count": 86,
"metadata": {},
"outputs": [],
"source": [
@@ -860,7 +860,7 @@
},
{
"cell_type": "code",
"execution_count": 33,
"execution_count": 87,
"metadata": {},
"outputs": [],
"source": [
@@ -877,7 +877,7 @@
},
{
"cell_type": "code",
"execution_count": 34,
"execution_count": 88,
"metadata": {},
"outputs": [],
"source": [
@@ -902,7 +902,7 @@
},
{
"cell_type": "code",
"execution_count": 35,
"execution_count": 89,
"metadata": {},
"outputs": [],
"source": [
@@ -918,7 +918,7 @@
},
{
"cell_type": "code",
"execution_count": 36,
"execution_count": 90,
"metadata": {},
"outputs": [],
"source": [
@@ -938,7 +938,7 @@
},
{
"cell_type": "code",
"execution_count": 37,
"execution_count": 91,
"metadata": {},
"outputs": [],
"source": [
@@ -954,7 +954,7 @@
},
{
"cell_type": "code",
"execution_count": 53,
"execution_count": 92,
"metadata": {},
"outputs": [],
"source": [
@@ -979,7 +979,7 @@
},
{
"cell_type": "code",
"execution_count": 38,
"execution_count": 93,
"metadata": {},
"outputs": [],
"source": [
@@ -1008,7 +1008,7 @@
},
{
"cell_type": "code",
"execution_count": 39,
"execution_count": 94,
"metadata": {},
"outputs": [],
"source": [
@@ -1045,7 +1045,7 @@
},
{
"cell_type": "code",
"execution_count": 40,
"execution_count": 95,
"metadata": {},
"outputs": [],
"source": [
@@ -1064,7 +1064,7 @@
},
{
"cell_type": "code",
"execution_count": 41,
"execution_count": 96,
"metadata": {},
"outputs": [],
"source": [
@@ -1077,7 +1077,7 @@
},
{
"cell_type": "code",
"execution_count": 42,
"execution_count": 97,
"metadata": {},
"outputs": [],
"source": [
@@ -1094,7 +1094,7 @@
},
{
"cell_type": "code",
"execution_count": 43,
"execution_count": 98,
"metadata": {},
"outputs": [],
"source": [
@@ -1113,7 +1113,7 @@
},
{
"cell_type": "code",
"execution_count": 44,
"execution_count": 99,
"metadata": {},
"outputs": [],
"source": [
@@ -1131,7 +1131,7 @@
},
{
"cell_type": "code",
"execution_count": 45,
"execution_count": 100,
"metadata": {},
"outputs": [],
"source": [
@@ -1151,7 +1151,7 @@
},
{
"cell_type": "code",
"execution_count": 46,
"execution_count": 101,
"metadata": {},
"outputs": [],
"source": [
@@ -1167,7 +1167,7 @@
},
{
"cell_type": "code",
"execution_count": 47,
"execution_count": 102,
"metadata": {},
"outputs": [],
"source": [
@@ -1184,7 +1184,7 @@
},
{
"cell_type": "code",
"execution_count": 48,
"execution_count": 103,
"metadata": {},
"outputs": [],
"source": [
@@ -1216,7 +1216,7 @@
},
{
"cell_type": "code",
"execution_count": 49,
"execution_count": 104,
"metadata": {},
"outputs": [],
"source": [
@@ -1257,7 +1257,7 @@
},
{
"cell_type": "code",
"execution_count": 50,
"execution_count": 105,
"metadata": {},
"outputs": [],
"source": [
@@ -1290,7 +1290,7 @@
},
{
"cell_type": "code",
"execution_count": 51,
"execution_count": 106,
"metadata": {
"tags": [
"hide-cell"
@@ -1310,7 +1310,7 @@
},
{
"cell_type": "code",
"execution_count": 56,
"execution_count": 107,
"metadata": {},
"outputs": [],
"source": [
@@ -1329,7 +1329,7 @@
},
{
"cell_type": "code",
"execution_count": 53,
"execution_count": 108,
"metadata": {},
"outputs": [],
"source": [

83
_sources/04_select.ipynb
View File

@@ -52,7 +52,7 @@
},
{
"cell_type": "code",
"execution_count": 1,
"execution_count": 37,
"metadata": {
"tags": []
},
@@ -64,7 +64,7 @@
"IN_COLAB = 'google.colab' in sys.modules\n",
"\n",
"if IN_COLAB:\n",
" !pip install astroquery astro-gala wget"
" !pip install astroquery astro-gala"
]
},
{
@@ -73,12 +73,12 @@
"source": [
"## Reload the data\n",
"\n",
"The following cells download the data from the previous lesson, if necessary, and load it into a Pandas `DataFrame`."
"You can [download the data from the previous lesson](https://github.com/AllenDowney/AstronomicalData/raw/main/data/gd1_data.hdf) or run the following cell, which downloads it if necessary."
]
},
{
"cell_type": "code",
"execution_count": 2,
"execution_count": 38,
"metadata": {},
"outputs": [],
"source": [
@@ -95,9 +95,16 @@
" 'data/gd1_data.hdf')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now we can reload `centerline_df` and `selected_df`."
]
},
{
"cell_type": "code",
"execution_count": 3,
"execution_count": 39,
"metadata": {},
"outputs": [],
"source": [
@@ -135,7 +142,7 @@
},
{
"cell_type": "code",
"execution_count": 4,
"execution_count": 40,
"metadata": {},
"outputs": [],
"source": [
@@ -147,7 +154,7 @@
},
{
"cell_type": "code",
"execution_count": 5,
"execution_count": 41,
"metadata": {},
"outputs": [],
"source": [
@@ -160,7 +167,7 @@
},
{
"cell_type": "code",
"execution_count": 6,
"execution_count": 42,
"metadata": {},
"outputs": [],
"source": [
@@ -177,7 +184,7 @@
},
{
"cell_type": "code",
"execution_count": 7,
"execution_count": 43,
"metadata": {},
"outputs": [],
"source": [
@@ -214,7 +221,7 @@
},
{
"cell_type": "code",
"execution_count": 8,
"execution_count": 44,
"metadata": {},
"outputs": [],
"source": [
@@ -236,7 +243,7 @@
},
{
"cell_type": "code",
"execution_count": 9,
"execution_count": 45,
"metadata": {},
"outputs": [],
"source": [
@@ -277,7 +284,7 @@
},
{
"cell_type": "code",
"execution_count": 10,
"execution_count": 46,
"metadata": {},
"outputs": [],
"source": [
@@ -303,7 +310,7 @@
},
{
"cell_type": "code",
"execution_count": 11,
"execution_count": 47,
"metadata": {},
"outputs": [],
"source": [
@@ -322,7 +329,7 @@
},
{
"cell_type": "code",
"execution_count": 12,
"execution_count": 48,
"metadata": {},
"outputs": [],
"source": [
@@ -338,7 +345,7 @@
},
{
"cell_type": "code",
"execution_count": 13,
"execution_count": 49,
"metadata": {},
"outputs": [],
"source": [
@@ -355,7 +362,7 @@
},
{
"cell_type": "code",
"execution_count": 14,
"execution_count": 50,
"metadata": {},
"outputs": [],
"source": [
@@ -373,7 +380,7 @@
},
{
"cell_type": "code",
"execution_count": 15,
"execution_count": 51,
"metadata": {},
"outputs": [],
"source": [
@@ -413,7 +420,7 @@
},
{
"cell_type": "code",
"execution_count": 16,
"execution_count": 52,
"metadata": {},
"outputs": [],
"source": [
@@ -442,7 +449,7 @@
},
{
"cell_type": "code",
"execution_count": 17,
"execution_count": 53,
"metadata": {},
"outputs": [],
"source": [
@@ -463,7 +470,7 @@
},
{
"cell_type": "code",
"execution_count": 18,
"execution_count": 54,
"metadata": {},
"outputs": [],
"source": [
@@ -480,7 +487,7 @@
},
{
"cell_type": "code",
"execution_count": 19,
"execution_count": 55,
"metadata": {},
"outputs": [],
"source": [
@@ -505,7 +512,7 @@
},
{
"cell_type": "code",
"execution_count": 20,
"execution_count": 56,
"metadata": {},
"outputs": [],
"source": [
@@ -518,7 +525,7 @@
},
{
"cell_type": "code",
"execution_count": 21,
"execution_count": 57,
"metadata": {},
"outputs": [],
"source": [
@@ -535,7 +542,7 @@
},
{
"cell_type": "code",
"execution_count": 22,
"execution_count": 58,
"metadata": {},
"outputs": [],
"source": [
@@ -551,7 +558,7 @@
},
{
"cell_type": "code",
"execution_count": 23,
"execution_count": 59,
"metadata": {},
"outputs": [],
"source": [
@@ -583,7 +590,7 @@
},
{
"cell_type": "code",
"execution_count": 24,
"execution_count": 60,
"metadata": {},
"outputs": [],
"source": [
@@ -602,7 +609,7 @@
},
{
"cell_type": "code",
"execution_count": 25,
"execution_count": 61,
"metadata": {
"scrolled": true
},
@@ -623,7 +630,7 @@
},
{
"cell_type": "code",
"execution_count": 26,
"execution_count": 62,
"metadata": {
"tags": [
"hide-cell"
@@ -645,7 +652,7 @@
},
{
"cell_type": "code",
"execution_count": 27,
"execution_count": 63,
"metadata": {
"tags": [
"hide-cell"
@@ -665,7 +672,7 @@
},
{
"cell_type": "code",
"execution_count": 28,
"execution_count": 64,
"metadata": {
"scrolled": true
},
@@ -686,7 +693,7 @@
},
{
"cell_type": "code",
"execution_count": 29,
"execution_count": 65,
"metadata": {},
"outputs": [],
"source": [
@@ -710,7 +717,7 @@
},
{
"cell_type": "code",
"execution_count": 30,
"execution_count": 66,
"metadata": {},
"outputs": [],
"source": [
@@ -727,7 +734,7 @@
},
{
"cell_type": "code",
"execution_count": 31,
"execution_count": 67,
"metadata": {},
"outputs": [],
"source": [
@@ -744,7 +751,7 @@
},
{
"cell_type": "code",
"execution_count": 32,
"execution_count": 68,
"metadata": {},
"outputs": [],
"source": [
@@ -763,7 +770,7 @@
},
{
"cell_type": "code",
"execution_count": 33,
"execution_count": 69,
"metadata": {},
"outputs": [],
"source": [
@@ -787,7 +794,7 @@
},
{
"cell_type": "code",
"execution_count": 34,
"execution_count": 70,
"metadata": {},
"outputs": [],
"source": [
@@ -829,7 +836,7 @@
},
{
"cell_type": "code",
"execution_count": 35,
"execution_count": 71,
"metadata": {},
"outputs": [],
"source": [
@@ -845,7 +852,7 @@
},
{
"cell_type": "code",
"execution_count": 36,
"execution_count": 72,
"metadata": {},
"outputs": [],
"source": [

171
_sources/05_join.ipynb
View File

@@ -56,7 +56,7 @@
},
{
"cell_type": "code",
"execution_count": 1,
"execution_count": 28,
"metadata": {
"tags": []
},
@@ -131,7 +131,7 @@
},
{
"cell_type": "code",
"execution_count": 2,
"execution_count": 29,
"metadata": {},
"outputs": [],
"source": [
@@ -142,7 +142,7 @@
},
{
"cell_type": "code",
"execution_count": 3,
"execution_count": 30,
"metadata": {},
"outputs": [],
"source": [
@@ -158,7 +158,7 @@
},
{
"cell_type": "code",
"execution_count": 4,
"execution_count": 31,
"metadata": {},
"outputs": [],
"source": [
@@ -189,7 +189,7 @@
},
{
"cell_type": "code",
"execution_count": 5,
"execution_count": 32,
"metadata": {},
"outputs": [],
"source": [
@@ -202,7 +202,7 @@
},
{
"cell_type": "code",
"execution_count": 6,
"execution_count": 33,
"metadata": {},
"outputs": [],
"source": [
@@ -211,7 +211,7 @@
},
{
"cell_type": "code",
"execution_count": 7,
"execution_count": 34,
"metadata": {
"scrolled": true
},
@@ -232,7 +232,7 @@
},
{
"cell_type": "code",
"execution_count": 8,
"execution_count": 35,
"metadata": {},
"outputs": [],
"source": [
@@ -241,7 +241,7 @@
},
{
"cell_type": "code",
"execution_count": 9,
"execution_count": 36,
"metadata": {},
"outputs": [],
"source": [
@@ -257,7 +257,7 @@
},
{
"cell_type": "code",
"execution_count": 10,
"execution_count": 37,
"metadata": {},
"outputs": [],
"source": [
@@ -284,7 +284,7 @@
},
{
"cell_type": "code",
"execution_count": 11,
"execution_count": 38,
"metadata": {},
"outputs": [],
"source": [
@@ -297,7 +297,7 @@
},
{
"cell_type": "code",
"execution_count": 12,
"execution_count": 39,
"metadata": {},
"outputs": [],
"source": [
@@ -306,7 +306,7 @@
},
{
"cell_type": "code",
"execution_count": 13,
"execution_count": 40,
"metadata": {
"scrolled": true
},
@@ -350,7 +350,7 @@
},
{
"cell_type": "code",
"execution_count": 14,
"execution_count": 41,
"metadata": {},
"outputs": [],
"source": [
@@ -373,7 +373,7 @@
},
{
"cell_type": "code",
"execution_count": 15,
"execution_count": 42,
"metadata": {},
"outputs": [],
"source": [
@@ -384,7 +384,7 @@
},
{
"cell_type": "code",
"execution_count": 16,
"execution_count": 43,
"metadata": {
"scrolled": true
},
@@ -404,7 +404,7 @@
},
{
"cell_type": "code",
"execution_count": 17,
"execution_count": 44,
"metadata": {},
"outputs": [],
"source": [
@@ -426,7 +426,7 @@
},
{
"cell_type": "code",
"execution_count": 18,
"execution_count": 45,
"metadata": {},
"outputs": [],
"source": [
@@ -445,7 +445,7 @@
},
{
"cell_type": "code",
"execution_count": 19,
"execution_count": 46,
"metadata": {},
"outputs": [],
"source": [
@@ -454,7 +454,7 @@
},
{
"cell_type": "code",
"execution_count": 20,
"execution_count": 47,
"metadata": {
"scrolled": true
},
@@ -484,7 +484,7 @@
},
{
"cell_type": "code",
"execution_count": 21,
"execution_count": 48,
"metadata": {},
"outputs": [],
"source": [
@@ -516,7 +516,7 @@
},
{
"cell_type": "code",
"execution_count": 22,
"execution_count": 49,
"metadata": {},
"outputs": [],
"source": [
@@ -536,7 +536,7 @@
},
{
"cell_type": "code",
"execution_count": 23,
"execution_count": 50,
"metadata": {},
"outputs": [],
"source": [
@@ -545,7 +545,7 @@
},
{
"cell_type": "code",
"execution_count": 24,
"execution_count": 51,
"metadata": {
"scrolled": true
},
@@ -583,7 +583,7 @@
},
{
"cell_type": "code",
"execution_count": 25,
"execution_count": 52,
"metadata": {
"tags": [
"hide-cell"
@@ -594,46 +594,6 @@
"# Solution goes here"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {
"tags": [
"hide-cell"
]
},
"outputs": [],
"source": [
"# Solution goes here"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {
"tags": [
"hide-cell"
]
},
"outputs": [],
"source": [
"# Solution goes here"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {
"scrolled": true,
"tags": [
"hide-cell"
]
},
"outputs": [],
"source": [
"# Solution goes here"
]
},
{
"cell_type": "markdown",
"metadata": {},
@@ -647,7 +607,7 @@
},
{
"cell_type": "code",
"execution_count": 29,
"execution_count": 53,
"metadata": {},
"outputs": [],
"source": [
@@ -672,7 +632,7 @@
},
{
"cell_type": "code",
"execution_count": 30,
"execution_count": 54,
"metadata": {},
"outputs": [],
"source": [
@@ -692,7 +652,7 @@
},
{
"cell_type": "code",
"execution_count": 31,
"execution_count": 55,
"metadata": {},
"outputs": [],
"source": [
@@ -714,7 +674,7 @@
},
{
"cell_type": "code",
"execution_count": 32,
"execution_count": 56,
"metadata": {},
"outputs": [],
"source": [
@@ -723,7 +683,7 @@
},
{
"cell_type": "code",
"execution_count": 33,
"execution_count": 57,
"metadata": {
"scrolled": true
},
@@ -749,46 +709,7 @@
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {
"tags": [
"hide-cell"
]
},
"outputs": [],
"source": [
"# Solution goes here"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {
"tags": [
"hide-cell"
]
},
"outputs": [],
"source": [
"# Solution goes here"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {
"tags": [
"hide-cell"
]
},
"outputs": [],
"source": [
"# Solution goes here"
]
},
{
"cell_type": "code",
"execution_count": 37,
"execution_count": 58,
"metadata": {
"tags": [
"hide-cell"
@@ -810,7 +731,7 @@
},
{
"cell_type": "code",
"execution_count": 38,
"execution_count": 59,
"metadata": {},
"outputs": [],
"source": [
@@ -828,7 +749,7 @@
},
{
"cell_type": "code",
"execution_count": 39,
"execution_count": 60,
"metadata": {},
"outputs": [],
"source": [
@@ -849,7 +770,7 @@
},
{
"cell_type": "code",
"execution_count": 40,
"execution_count": 61,
"metadata": {},
"outputs": [],
"source": [
@@ -877,7 +798,7 @@
},
{
"cell_type": "code",
"execution_count": 41,
"execution_count": 62,
"metadata": {},
"outputs": [],
"source": [
@@ -922,7 +843,7 @@
},
{
"cell_type": "code",
"execution_count": 42,
"execution_count": 63,
"metadata": {},
"outputs": [],
"source": [
@@ -938,7 +859,7 @@
},
{
"cell_type": "code",
"execution_count": 53,
"execution_count": 64,
"metadata": {},
"outputs": [],
"source": [
@@ -971,7 +892,7 @@
},
{
"cell_type": "code",
"execution_count": 44,
"execution_count": 65,
"metadata": {},
"outputs": [],
"source": [
@@ -989,7 +910,7 @@
},
{
"cell_type": "code",
"execution_count": 45,
"execution_count": 66,
"metadata": {},
"outputs": [],
"source": [
@@ -1032,7 +953,7 @@
},
{
"cell_type": "code",
"execution_count": 46,
"execution_count": 67,
"metadata": {},
"outputs": [],
"source": [
@@ -1048,7 +969,7 @@
},
{
"cell_type": "code",
"execution_count": 47,
"execution_count": 68,
"metadata": {},
"outputs": [],
"source": [
@@ -1064,7 +985,7 @@
},
{
"cell_type": "code",
"execution_count": 48,
"execution_count": 69,
"metadata": {},
"outputs": [],
"source": [
@@ -1077,7 +998,7 @@
},
{
"cell_type": "code",
"execution_count": 49,
"execution_count": 70,
"metadata": {},
"outputs": [],
"source": [
@@ -1095,7 +1016,7 @@
},
{
"cell_type": "code",
"execution_count": 50,
"execution_count": 71,
"metadata": {},
"outputs": [],
"source": [
@@ -1111,7 +1032,7 @@
},
{
"cell_type": "code",
"execution_count": 51,
"execution_count": 72,
"metadata": {},
"outputs": [],
"source": [
@@ -1120,7 +1041,7 @@
},
{
"cell_type": "code",
"execution_count": 52,
"execution_count": 73,
"metadata": {},
"outputs": [],
"source": [

172
_sources/06_photo.ipynb
View File

@@ -43,67 +43,48 @@
},
{
"cell_type": "markdown",
"metadata": {
"tags": []
},
"metadata": {},
"source": [
"## Installing libraries\n",
"## Reload the data\n",
"\n",
"If you are running this notebook on Colab, you can run the following cell to install the libraries we'll use.\n",
"\n",
"If you are running this notebook on your own computer, you might have to install these libraries yourself. See the instructions in the preface."
"You can [download the data from the previous lesson](https://github.com/AllenDowney/AstronomicalData/raw/main/data/gd1_data.hdf) or run the following cell, which downloads it if necessary."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"tags": []
},
"execution_count": 47,
"metadata": {},
"outputs": [],
"source": [
"# If we're running on Colab, install libraries\n",
"from os.path import basename, exists\n",
"\n",
"import sys\n",
"IN_COLAB = 'google.colab' in sys.modules\n",
"def download(url):\n",
" filename = basename(url)\n",
" if not exists(filename):\n",
" from urllib.request import urlretrieve\n",
" local, _ = urlretrieve(url, filename)\n",
" print('Downloaded ' + local)\n",
"\n",
"if IN_COLAB:\n",
" !pip install wget"
"download('https://github.com/AllenDowney/AstronomicalData/raw/main/' +\n",
" 'data/gd1_data.hdf')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Reload the data\n",
"\n",
"The following cell downloads the photometry data we created in the previous notebook."
"Now we can reload `candidate_df`."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"from wget import download\n",
"\n",
"filename = 'gd1_data.hdf'\n",
"filepath = 'https://github.com/AllenDowney/AstronomicalData/raw/main/data/'\n",
"\n",
"if not os.path.exists(filename):\n",
" print(download(filepath+filename))"
]
},
{
"cell_type": "code",
"execution_count": 3,
"execution_count": 48,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"\n",
"filename = 'gd1_data.hdf'\n",
"candidate_df = pd.read_hdf(filename, 'candidate_df')"
]
},
@@ -139,7 +120,7 @@
},
{
"cell_type": "code",
"execution_count": 4,
"execution_count": 49,
"metadata": {},
"outputs": [],
"source": [
@@ -195,7 +176,7 @@
},
{
"cell_type": "code",
"execution_count": 5,
"execution_count": 50,
"metadata": {},
"outputs": [],
"source": [
@@ -238,18 +219,12 @@
},
{
"cell_type": "code",
"execution_count": 6,
"execution_count": 51,
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"from wget import download\n",
"\n",
"filename = 'MIST_iso_5fd2532653c27.iso.cmd'\n",
"filepath = 'https://github.com/AllenDowney/AstronomicalData/raw/main/data/'\n",
"\n",
"if not os.path.exists(filename):\n",
" print(download(filepath+filename))"
"download('https://github.com/AllenDowney/AstronomicalData/raw/main/' +\n",
" 'data/MIST_iso_5fd2532653c27.iso.cmd')"
]
},
{
@@ -261,18 +236,12 @@
},
{
"cell_type": "code",
"execution_count": 7,
"execution_count": 52,
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"from wget import download\n",
"\n",
"filename = 'read_mist_models.py'\n",
"filepath = 'https://github.com/jieunchoi/MIST_codes/raw/master/scripts/'\n",
"\n",
"if not os.path.exists(filename):\n",
" print(download(filepath+filename))"
"download('https://github.com/jieunchoi/MIST_codes/raw/master/scripts/' +\n",
" 'read_mist_models.py')"
]
},
{
@@ -284,7 +253,7 @@
},
{
"cell_type": "code",
"execution_count": 8,
"execution_count": 53,
"metadata": {},
"outputs": [],
"source": [
@@ -303,7 +272,7 @@
},
{
"cell_type": "code",
"execution_count": 9,
"execution_count": 54,
"metadata": {},
"outputs": [],
"source": [
@@ -319,7 +288,7 @@
},
{
"cell_type": "code",
"execution_count": 10,
"execution_count": 55,
"metadata": {},
"outputs": [],
"source": [
@@ -335,7 +304,7 @@
},
{
"cell_type": "code",
"execution_count": 11,
"execution_count": 56,
"metadata": {},
"outputs": [],
"source": [
@@ -351,7 +320,7 @@
},
{
"cell_type": "code",
"execution_count": 12,
"execution_count": 57,
"metadata": {},
"outputs": [],
"source": [
@@ -367,7 +336,7 @@
},
{
"cell_type": "code",
"execution_count": 13,
"execution_count": 58,
"metadata": {},
"outputs": [],
"source": [
@@ -383,7 +352,7 @@
},
{
"cell_type": "code",
"execution_count": 14,
"execution_count": 59,
"metadata": {},
"outputs": [],
"source": [
@@ -399,7 +368,7 @@
},
{
"cell_type": "code",
"execution_count": 15,
"execution_count": 60,
"metadata": {},
"outputs": [],
"source": [
@@ -415,7 +384,7 @@
},
{
"cell_type": "code",
"execution_count": 16,
"execution_count": 61,
"metadata": {},
"outputs": [],
"source": [
@@ -425,7 +394,7 @@
},
{
"cell_type": "code",
"execution_count": 17,
"execution_count": 62,
"metadata": {},
"outputs": [],
"source": [
@@ -446,7 +415,7 @@
},
{
"cell_type": "code",
"execution_count": 18,
"execution_count": 63,
"metadata": {},
"outputs": [],
"source": [
@@ -467,7 +436,7 @@
},
{
"cell_type": "code",
"execution_count": 19,
"execution_count": 64,
"metadata": {},
"outputs": [],
"source": [
@@ -484,7 +453,7 @@
},
{
"cell_type": "code",
"execution_count": 20,
"execution_count": 65,
"metadata": {},
"outputs": [],
"source": [
@@ -505,7 +474,7 @@
},
{
"cell_type": "code",
"execution_count": 21,
"execution_count": 66,
"metadata": {},
"outputs": [],
"source": [
@@ -527,7 +496,7 @@
},
{
"cell_type": "code",
"execution_count": 22,
"execution_count": 67,
"metadata": {},
"outputs": [],
"source": [
@@ -546,18 +515,12 @@
},
{
"cell_type": "code",
"execution_count": 23,
"execution_count": 68,
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"from wget import download\n",
"\n",
"filename = 'gd1_isochrone.hdf5'\n",
"filepath = 'https://github.com/AllenDowney/AstronomicalData/raw/main/data/'\n",
"\n",
"if not os.path.exists(filename):\n",
" print(download(filepath+filename))"
"download('https://github.com/AllenDowney/AstronomicalData/raw/main/data/' +\n",
" 'gd1_isochrone.hdf5')"
]
},
{
@@ -569,10 +532,11 @@
},
{
"cell_type": "code",
"execution_count": 24,
"execution_count": 69,
"metadata": {},
"outputs": [],
"source": [
"filename = 'gd1_isochrone.hdf5'\n",
"iso_df = pd.read_hdf(filename, 'iso_df')\n",
"iso_df.head()"
]
@@ -586,7 +550,7 @@
},
{
"cell_type": "code",
"execution_count": 25,
"execution_count": 70,
"metadata": {},
"outputs": [],
"source": [
@@ -609,7 +573,7 @@
},
{
"cell_type": "code",
"execution_count": 26,
"execution_count": 71,
"metadata": {},
"outputs": [],
"source": [
@@ -628,7 +592,7 @@
},
{
"cell_type": "code",
"execution_count": 27,
"execution_count": 72,
"metadata": {},
"outputs": [],
"source": [
@@ -647,7 +611,7 @@
},
{
"cell_type": "code",
"execution_count": 28,
"execution_count": 73,
"metadata": {},
"outputs": [],
"source": [
@@ -667,7 +631,7 @@
},
{
"cell_type": "code",
"execution_count": 29,
"execution_count": 74,
"metadata": {},
"outputs": [],
"source": [
@@ -685,7 +649,7 @@
},
{
"cell_type": "code",
"execution_count": 30,
"execution_count": 75,
"metadata": {},
"outputs": [],
"source": [
@@ -712,7 +676,7 @@
},
{
"cell_type": "code",
"execution_count": 31,
"execution_count": 76,
"metadata": {},
"outputs": [],
"source": [
@@ -746,7 +710,7 @@
},
{
"cell_type": "code",
"execution_count": 32,
"execution_count": 77,
"metadata": {},
"outputs": [],
"source": [
@@ -763,7 +727,7 @@
},
{
"cell_type": "code",
"execution_count": 33,
"execution_count": 78,
"metadata": {},
"outputs": [],
"source": [
@@ -780,7 +744,7 @@
},
{
"cell_type": "code",
"execution_count": 34,
"execution_count": 79,
"metadata": {},
"outputs": [],
"source": [
@@ -797,7 +761,7 @@
},
{
"cell_type": "code",
"execution_count": 35,
"execution_count": 80,
"metadata": {},
"outputs": [],
"source": [
@@ -816,7 +780,7 @@
},
{
"cell_type": "code",
"execution_count": 36,
"execution_count": 81,
"metadata": {},
"outputs": [],
"source": [
@@ -837,7 +801,7 @@
},
{
"cell_type": "code",
"execution_count": 37,
"execution_count": 82,
"metadata": {},
"outputs": [],
"source": [
@@ -854,7 +818,7 @@
},
{
"cell_type": "code",
"execution_count": 38,
"execution_count": 83,
"metadata": {},
"outputs": [],
"source": [
@@ -889,7 +853,7 @@
},
{
"cell_type": "code",
"execution_count": 39,
"execution_count": 84,
"metadata": {},
"outputs": [],
"source": [
@@ -909,7 +873,7 @@
},
{
"cell_type": "code",
"execution_count": 40,
"execution_count": 85,
"metadata": {},
"outputs": [],
"source": [
@@ -930,7 +894,7 @@
},
{
"cell_type": "code",
"execution_count": 41,
"execution_count": 86,
"metadata": {},
"outputs": [],
"source": [
@@ -947,7 +911,7 @@
},
{
"cell_type": "code",
"execution_count": 42,
"execution_count": 87,
"metadata": {},
"outputs": [],
"source": [
@@ -963,7 +927,7 @@
},
{
"cell_type": "code",
"execution_count": 43,
"execution_count": 88,
"metadata": {},
"outputs": [],
"source": [
@@ -979,7 +943,7 @@
},
{
"cell_type": "code",
"execution_count": 44,
"execution_count": 89,
"metadata": {},
"outputs": [],
"source": [
@@ -1003,7 +967,7 @@
},
{
"cell_type": "code",
"execution_count": 45,
"execution_count": 90,
"metadata": {},
"outputs": [],
"source": [
@@ -1043,7 +1007,7 @@
},
{
"cell_type": "code",
"execution_count": 46,
"execution_count": 91,
"metadata": {},
"outputs": [],
"source": [
@@ -1053,7 +1017,7 @@
},
{
"cell_type": "code",
"execution_count": 47,
"execution_count": 92,
"metadata": {},
"outputs": [],
"source": [

125
_sources/07_plot.ipynb
View File

@@ -38,36 +38,6 @@
"* Generate a figure with multiple subplots."
]
},
{
"cell_type": "markdown",
"metadata": {
"tags": []
},
"source": [
"## Installing libraries\n",
"\n",
"If you are running this notebook on Colab, you can run the following cell to install the libraries we'll use.\n",
"\n",
"If you are running this notebook on your own computer, you might have to install these libraries yourself. See the instructions in the preface."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"# If we're running on Colab, install libraries\n",
"\n",
"import sys\n",
"IN_COLAB = 'google.colab' in sys.modules\n",
"\n",
"if IN_COLAB:\n",
" !pip install wget"
]
},
{
"cell_type": "markdown",
"metadata": {},
@@ -113,7 +83,7 @@
},
{
"cell_type": "code",
"execution_count": 2,
"execution_count": 30,
"metadata": {
"tags": [
"hide-cell"
@@ -130,39 +100,50 @@
"source": [
"## Plotting GD-1\n",
"\n",
"Let's start with the panel in the lower left. The following cell reloads the data."
"Let's start with the panel in the lower left. You can [download the data from the previous lesson](https://github.com/AllenDowney/AstronomicalData/raw/main/data/gd1_data.hdf) or run the following cell, which downloads it if necessary."
]
},
{
"cell_type": "code",
"execution_count": 3,
"execution_count": 31,
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"from wget import download\n",
"from os.path import basename, exists\n",
"\n",
"filename = 'gd1_data.hdf'\n",
"path = 'https://github.com/AllenDowney/AstronomicalData/raw/main/data/'\n",
"def download(url):\n",
" filename = basename(url)\n",
" if not exists(filename):\n",
" from urllib.request import urlretrieve\n",
" local, _ = urlretrieve(url, filename)\n",
" print('Downloaded ' + local)\n",
"\n",
"if not os.path.exists(filename):\n",
" print(download(path+filename))"
"download('https://github.com/AllenDowney/AstronomicalData/raw/main/' +\n",
" 'data/gd1_data.hdf')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now we can reload `winner_df`"
]
},
{
"cell_type": "code",
"execution_count": 4,
"execution_count": 32,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"\n",
"filename = 'gd1_data.hdf'\n",
"winner_df = pd.read_hdf(filename, 'winner_df')"
]
},
{
"cell_type": "code",
"execution_count": 5,
"execution_count": 33,
"metadata": {},
"outputs": [],
"source": [
@@ -190,7 +171,7 @@
},
{
"cell_type": "code",
"execution_count": 6,
"execution_count": 34,
"metadata": {},
"outputs": [],
"source": [
@@ -232,7 +213,7 @@
},
{
"cell_type": "code",
"execution_count": 7,
"execution_count": 35,
"metadata": {
"tags": [
"hide-cell"
@@ -286,7 +267,7 @@
},
{
"cell_type": "code",
"execution_count": 8,
"execution_count": 36,
"metadata": {
"tags": [
"hide-cell"
@@ -310,7 +291,7 @@
},
{
"cell_type": "code",
"execution_count": 9,
"execution_count": 37,
"metadata": {},
"outputs": [],
"source": [
@@ -326,7 +307,7 @@
},
{
"cell_type": "code",
"execution_count": 10,
"execution_count": 38,
"metadata": {},
"outputs": [],
"source": [
@@ -364,7 +345,7 @@
},
{
"cell_type": "code",
"execution_count": 11,
"execution_count": 39,
"metadata": {},
"outputs": [],
"source": [
@@ -411,23 +392,17 @@
"source": [
"If you can't find a style sheet that's exactly what you want, you can make your own. This repository includes a style sheet called `az-paper-twocol.mplstyle`, with customizations chosen by Azalee Bostroem for publication in astronomy journals.\n",
"\n",
"The following cell downloads the style sheet."
"You can [download the style sheet](https://github.com/AllenDowney/AstronomicalData/raw/main/az-paper-twocol.mplstyle) or run the following cell, which downloads it if necessary."
]
},
{
"cell_type": "code",
"execution_count": 12,
"execution_count": 40,
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"from wget import download\n",
"\n",
"filename = 'az-paper-twocol.mplstyle'\n",
"path = 'https://github.com/AllenDowney/AstronomicalData/raw/main/'\n",
"\n",
"if not os.path.exists(filename):\n",
" print(download(path+filename))"
"download('https://github.com/AllenDowney/AstronomicalData/raw/main/' +\n",
" 'az-paper-twocol.mplstyle')"
]
},
{
@@ -495,7 +470,7 @@
},
{
"cell_type": "code",
"execution_count": 13,
"execution_count": 41,
"metadata": {},
"outputs": [],
"source": [
@@ -523,7 +498,7 @@
},
{
"cell_type": "code",
"execution_count": 14,
"execution_count": 42,
"metadata": {},
"outputs": [],
"source": [
@@ -563,7 +538,7 @@
},
{
"cell_type": "code",
"execution_count": 15,
"execution_count": 43,
"metadata": {},
"outputs": [],
"source": [
@@ -580,7 +555,7 @@
},
{
"cell_type": "code",
"execution_count": 16,
"execution_count": 44,
"metadata": {},
"outputs": [],
"source": [
@@ -604,7 +579,7 @@
},
{
"cell_type": "code",
"execution_count": 17,
"execution_count": 45,
"metadata": {},
"outputs": [],
"source": [
@@ -623,7 +598,7 @@
},
{
"cell_type": "code",
"execution_count": 18,
"execution_count": 46,
"metadata": {},
"outputs": [],
"source": [
@@ -657,7 +632,7 @@
},
{
"cell_type": "code",
"execution_count": 19,
"execution_count": 47,
"metadata": {},
"outputs": [],
"source": [
@@ -675,7 +650,7 @@
},
{
"cell_type": "code",
"execution_count": 20,
"execution_count": 48,
"metadata": {},
"outputs": [],
"source": [
@@ -692,7 +667,7 @@
},
{
"cell_type": "code",
"execution_count": 21,
"execution_count": 49,
"metadata": {},
"outputs": [],
"source": [
@@ -718,7 +693,7 @@
},
{
"cell_type": "code",
"execution_count": 22,
"execution_count": 50,
"metadata": {
"scrolled": true
},
@@ -738,7 +713,7 @@
},
{
"cell_type": "code",
"execution_count": 23,
"execution_count": 51,
"metadata": {},
"outputs": [],
"source": [
@@ -771,7 +746,7 @@
},
{
"cell_type": "code",
"execution_count": 24,
"execution_count": 52,
"metadata": {},
"outputs": [],
"source": [
@@ -787,7 +762,7 @@
},
{
"cell_type": "code",
"execution_count": 25,
"execution_count": 53,
"metadata": {},
"outputs": [],
"source": [
@@ -809,7 +784,7 @@
},
{
"cell_type": "code",
"execution_count": 26,
"execution_count": 54,
"metadata": {
"tags": [
"hide-cell"
@@ -841,7 +816,7 @@
},
{
"cell_type": "code",
"execution_count": 27,
"execution_count": 55,
"metadata": {},
"outputs": [],
"source": [
@@ -892,7 +867,7 @@
},
{
"cell_type": "code",
"execution_count": 28,
"execution_count": 56,
"metadata": {},
"outputs": [],
"source": [
@@ -935,7 +910,7 @@
},
{
"cell_type": "code",
"execution_count": 29,
"execution_count": 57,
"metadata": {
"tags": [
"hide-cell"
@@ -965,7 +940,7 @@
"\n",
"* The most effective figures focus on telling a single story clearly and compellingly.\n",
"\n",
"* Consider using annotations to guide the readers attention to the most important elements of a figure.\n",
"* Consider using annotations to guide the reader's attention to the most important elements of a figure.\n",
"\n",
"* The default Matplotlib style generates good quality figures, but there are several ways you can override the defaults.\n",
"\n",

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