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<div class="section" id="standard-python-tools">
<h1>Standard Python Tools<a class="headerlink" href="#standard-python-tools" title="Permalink to this headline">¶</a></h1>
<p>There are two standard “core” Python modules that provide much of the
functionality necessary to access internet resources from inside python:
<a class="reference external" href="http://docs.python.org/library/urllib2">urllib2</a> and <a class="reference external" href="http://docs.python.org/library/urllib">urllib</a>. You have seen <code class="docutils literal"><span class="pre">urllib2</span></code> in each of the prior
workshops when downloading example files or datasets, like this:</p>
<div class="highlight-python"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">urllib2</span>
<span class="n">url</span> <span class="o">=</span> <span class="s1">'http://python4astronomers.github.com/_downloads/image_sources.csv'</span>
<span class="nb">open</span><span class="p">(</span><span class="s1">'image_sources.csv'</span><span class="p">,</span> <span class="s1">'wb'</span><span class="p">)</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="n">urllib2</span><span class="o">.</span><span class="n">urlopen</span><span class="p">(</span><span class="n">url</span><span class="p">)</span><span class="o">.</span><span class="n">read</span><span class="p">())</span>
</pre></div>
</div>
<div class="section" id="webpage-retrieval">
<h2>Webpage Retrieval<a class="headerlink" href="#webpage-retrieval" title="Permalink to this headline">¶</a></h2>
<p>It is useful to write the example above a bit differently since
readability counts and we want to highlight a few steps.</p>
<div class="highlight-python"><div class="highlight"><pre><span></span><span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="s1">'image_sources.csv'</span><span class="p">,</span><span class="s1">'wb'</span><span class="p">)</span> <span class="k">as</span> <span class="n">outfile</span><span class="p">:</span>
<span class="n">handler</span> <span class="o">=</span> <span class="n">urllib2</span><span class="o">.</span><span class="n">urlopen</span><span class="p">(</span><span class="n">url</span><span class="p">)</span>
<span class="n">data</span> <span class="o">=</span> <span class="n">handler</span><span class="o">.</span><span class="n">read</span><span class="p">()</span>
<span class="n">outfile</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
<span class="n">handler</span><span class="o">.</span><span class="n">close</span><span class="p">()</span>
</pre></div>
</div>
<p>First, <a class="reference external" href="http://docs.python.org/library/urllib2">urllib2</a> has returned a file like object <code class="docutils literal"><span class="pre">handler</span></code> that
points to a specific web resource. Various attributes about the
webpage are available:</p>
<div class="highlight-python"><div class="highlight"><pre><span></span><span class="k">print</span><span class="p">(</span><span class="n">handler</span><span class="o">.</span><span class="n">code</span><span class="p">)</span>
<span class="k">print</span><span class="p">(</span><span class="n">handler</span><span class="o">.</span><span class="n">headers</span><span class="p">[</span><span class="s1">'content-type'</span><span class="p">])</span>
</pre></div>
</div>
<p>In this particular example the data request is handled after the
initial response has been examined; the data is streamed into a local
variable <code class="docutils literal"><span class="pre">data</span></code> and then saved to a local file. As demonstrated in
the <a class="reference internal" href="../files/asciifiles.html"><em>ASCII files portion</em></a> of the <a class="reference internal" href="../files/files.html"><em>Reading
and Writing Files</em></a> workshop, one alternatively could
parse the returned data stream into a table for further use.</p>
</div>
<div class="section" id="building-queries">
<h2>Building Queries<a class="headerlink" href="#building-queries" title="Permalink to this headline">¶</a></h2>
<p>Now we are getting closer to searching for data online via python.
Traditionally, each data archive has implemented its own set of
query parameters; more often then not you experience it as a web
form with lots of check and input boxes. Most of the time these web
forms are simply input wrappers that build a query string and
process the result.</p>
<p>Here is a very simple query example: search for HST
images near M 51. It is worth noting that you have
to find and read the <a class="reference external" href="http://archive.stsci.edu/vo/mast_services.html">MAST HST documentation</a> to
learn which <a class="reference external" href="http://archive.stsci.edu/vo/general_params.html">parameters</a> are needed to build the query.</p>
<div class="highlight-python"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">urllib2</span><span class="o">,</span> <span class="nn">urllib</span>
<span class="c1"># this is the query url for this service.</span>
<span class="n">url</span> <span class="o">=</span> <span class="s1">'http://archive.stsci.edu/hst/search.php'</span>
<span class="c1"># make a dictionary of search parameters</span>
<span class="n">p</span> <span class="o">=</span> <span class="p">{}</span>
<span class="n">p</span><span class="p">[</span><span class="s1">'target'</span><span class="p">]</span><span class="o">=</span><span class="s2">"M 51"</span>
<span class="n">p</span><span class="p">[</span><span class="s1">'radius'</span><span class="p">]</span><span class="o">=</span><span class="mf">1.0</span>
<span class="n">p</span><span class="p">[</span><span class="s1">'max_records'</span><span class="p">]</span><span class="o">=</span><span class="mi">10</span>
<span class="n">p</span><span class="p">[</span><span class="s1">'outputformat'</span><span class="p">]</span><span class="o">=</span><span class="s1">'CSV'</span>
<span class="n">p</span><span class="p">[</span><span class="s1">'action'</span><span class="p">]</span><span class="o">=</span><span class="s1">'Search'</span>
<span class="c1"># encode the http string</span>
<span class="n">query</span> <span class="o">=</span> <span class="n">urllib</span><span class="o">.</span><span class="n">urlencode</span><span class="p">(</span><span class="n">p</span><span class="p">)</span>
<span class="c1"># create the full URL for a GET query</span>
<span class="n">get_url</span> <span class="o">=</span> <span class="n">url</span> <span class="o">+</span> <span class="s2">"?"</span> <span class="o">+</span> <span class="n">query</span>
<span class="c1"># create the GET handler</span>
<span class="n">handler</span> <span class="o">=</span> <span class="n">urllib2</span><span class="o">.</span><span class="n">urlopen</span><span class="p">(</span><span class="n">get_url</span><span class="p">)</span>
<span class="c1"># check it</span>
<span class="k">print</span><span class="p">(</span><span class="n">handler</span><span class="o">.</span><span class="n">code</span><span class="p">)</span>
<span class="k">print</span><span class="p">(</span><span class="n">handler</span><span class="o">.</span><span class="n">headers</span><span class="p">[</span><span class="s1">'content-type'</span><span class="p">])</span>
<span class="c1"># save it</span>
<span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="s1">'hst_m51.csv'</span><span class="p">,</span><span class="s1">'wb'</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
<span class="n">f</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="n">handler</span><span class="o">.</span><span class="n">read</span><span class="p">())</span>
</pre></div>
</div>
<p>The magic is that <a class="reference external" href="http://docs.python.org/library/urllib">urllib</a> module takes care of encoding the
parameters using standard HTTP rules. You can compare the input
dictionary key,value pairs with the HTTP url encoding.</p>
<div class="highlight-python"><div class="highlight"><pre><span></span><span class="c1"># some simple formatting where the format %-M.Ns means</span>
<span class="c1"># "-" :: 'left justified'</span>
<span class="c1"># "M" :: 'minimum string length, padded'</span>
<span class="c1"># "N" :: 'maximum string length, sequence sliced'</span>
<span class="c1"># "s" :: 'format as string'</span>
<span class="n">sform</span> <span class="o">=</span> <span class="s2">"</span><span class="si">%-20.20s</span><span class="s2"> </span><span class="si">%-10.10s</span><span class="s2"> </span><span class="si">%-30.30s</span><span class="s2">"</span>
<span class="c1"># make a header</span>
<span class="k">print</span><span class="p">(</span><span class="n">sform</span> <span class="o">%</span> <span class="p">(</span><span class="s1">'parameter'</span><span class="p">,</span><span class="s1">'value'</span><span class="p">,</span><span class="s1">'encoded'</span><span class="p">))</span>
<span class="k">print</span><span class="p">(</span><span class="n">sform</span> <span class="o">%</span> <span class="p">(</span><span class="mi">3</span><span class="o">*</span><span class="p">(</span><span class="mi">100</span><span class="o">*</span><span class="s1">'-'</span><span class="p">,)))</span>
<span class="c1"># for each paramter show the input items from the dictionary</span>
<span class="c1"># "p" and the output query string.</span>
<span class="k">for</span> <span class="n">a</span><span class="p">,</span><span class="n">b</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="n">p</span><span class="o">.</span><span class="n">items</span><span class="p">(),</span><span class="n">query</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s1">'&'</span><span class="p">)):</span>
<span class="k">print</span><span class="p">(</span><span class="n">sform</span> <span class="o">%</span> <span class="p">(</span><span class="n">a</span><span class="o">+</span><span class="p">(</span><span class="n">b</span><span class="p">,)))</span>
</pre></div>
</div>
<div class="admonition-exercise-import-wise-catalog-data-for-a-young-cluster admonition">
<p class="first admonition-title">Exercise: import WISE catalog data for a young cluster</p>
<p>In this exerice you will use a different service (IRSA) and
with a different overall goal for these data.</p>
<div class="highlight-python"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">atpy</span><span class="o">,</span> <span class="nn">urllib</span><span class="o">,</span> <span class="nn">urllib2</span>
<span class="n">url</span> <span class="o">=</span> <span class="s2">"http://irsa.ipac.caltech.edu/cgi-bin/Gator/nph-query"</span>
<span class="n">p</span> <span class="o">=</span> <span class="p">{}</span>
<span class="n">p</span><span class="p">[</span><span class="s1">'spatial'</span><span class="p">]</span> <span class="o">=</span> <span class="s2">"Cone"</span>
<span class="n">p</span><span class="p">[</span><span class="s1">'objstr'</span><span class="p">]</span> <span class="o">=</span> <span class="s2">"IC 348"</span>
<span class="n">p</span><span class="p">[</span><span class="s1">'outfmt'</span><span class="p">]</span> <span class="o">=</span> <span class="mi">1</span> <span class="c1"># IPAC table format</span>
<span class="n">p</span><span class="p">[</span><span class="s1">'catalog'</span><span class="p">]</span> <span class="o">=</span> <span class="s1">'wise_prelim_p3as_psd'</span>
<span class="n">p</span><span class="p">[</span><span class="s1">'radius'</span><span class="p">]</span> <span class="o">=</span> <span class="mi">300</span>
<span class="n">query</span> <span class="o">=</span> <span class="n">urllib</span><span class="o">.</span><span class="n">urlencode</span><span class="p">(</span><span class="n">p</span><span class="p">)</span>
<span class="n">get_url</span> <span class="o">=</span> <span class="n">url</span> <span class="o">+</span> <span class="s2">"?"</span> <span class="o">+</span> <span class="n">query</span>
<span class="n">handler</span> <span class="o">=</span> <span class="n">urllib2</span><span class="o">.</span><span class="n">urlopen</span><span class="p">(</span><span class="n">get_url</span><span class="p">)</span>
<span class="n">raw</span> <span class="o">=</span> <span class="n">handler</span><span class="o">.</span><span class="n">read</span><span class="p">()</span>
<span class="k">print</span><span class="p">(</span><span class="n">raw</span><span class="p">[</span><span class="mi">0</span><span class="p">:</span><span class="mi">255</span><span class="p">])</span>
<span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="s1">'ic348_wise.tbl'</span><span class="p">,</span> <span class="s1">'wb'</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
<span class="n">f</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="n">raw</span><span class="p">)</span>
</pre></div>
</div>
<p class="last">The challenge is to immediately analyze the results of this query. The
exercise is to make a simple color-color plot of these objects.</p>
</div>
<p class="flip9">Click to Show/Hide Solution</p> <div class="panel9"><p>There are MANY ways we have looked at in the workshops for converting
this result to a numpy array. Some of these examples parse the raw
web data directly, circumventing a need to write it to file. Some use
different means to try to deal with the data types and null values
in the result.</p>
<div class="highlight-python"><div class="highlight"><pre><span></span><span class="n">t1</span> <span class="o">=</span> <span class="n">atpy</span><span class="o">.</span><span class="n">Table</span><span class="p">(</span><span class="s1">'ic348_wise.tbl'</span><span class="p">,</span><span class="nb">type</span><span class="o">=</span><span class="s2">"ipac"</span><span class="p">)</span>
<span class="n">t2</span> <span class="o">=</span> <span class="n">asciitable</span><span class="o">.</span><span class="n">read</span><span class="p">(</span><span class="n">raw</span><span class="p">,</span> <span class="n">Reader</span><span class="o">=</span><span class="n">asciitable</span><span class="o">.</span><span class="n">IpacReader</span><span class="p">)</span>
<span class="n">t3</span> <span class="o">=</span> <span class="n">atpy</span><span class="o">.</span><span class="n">Table</span><span class="p">(</span><span class="n">raw</span><span class="p">,</span><span class="nb">type</span><span class="o">=</span><span class="s1">'ascii'</span><span class="p">)</span>
<span class="n">fill_values</span> <span class="o">=</span> <span class="p">[(</span><span class="s1">'null'</span><span class="p">,</span><span class="n">numpy</span><span class="o">.</span><span class="n">nan</span><span class="p">)]</span>
<span class="n">t4</span> <span class="o">=</span> <span class="n">asciitable</span><span class="o">.</span><span class="n">read</span><span class="p">(</span><span class="n">raw</span><span class="p">,</span> <span class="n">Reader</span><span class="o">=</span><span class="n">asciitable</span><span class="o">.</span><span class="n">IpacReader</span><span class="p">,</span> \
<span class="n">fill_values</span><span class="o">=</span><span class="n">fill_values</span><span class="p">)</span>
<span class="n">t5</span> <span class="o">=</span> <span class="n">atpy</span><span class="o">.</span><span class="n">Table</span><span class="p">(</span><span class="n">raw</span><span class="p">,</span><span class="nb">type</span><span class="o">=</span><span class="s1">'ascii'</span><span class="p">,</span> <span class="n">fill_values</span><span class="o">=</span><span class="n">fill_values</span><span class="p">)</span>
</pre></div>
</div>
<p>Its important to realize that YMMV as to how these differ in their output.
For example, lets look at the output table types and the data types for
a couple of columns:</p>
<div class="highlight-python"><div class="highlight"><pre><span></span><span class="n">t</span> <span class="o">=</span> <span class="p">[</span><span class="n">t1</span><span class="p">,</span> <span class="n">t2</span><span class="p">,</span> <span class="n">t3</span><span class="p">,</span> <span class="n">t4</span><span class="p">,</span> <span class="n">t5</span><span class="p">]</span>
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">t</span><span class="p">:</span>
<span class="n">c</span> <span class="o">=</span> <span class="p">(</span><span class="nb">type</span><span class="p">(</span><span class="n">i</span><span class="p">),</span> <span class="n">i</span><span class="p">[</span><span class="s1">'j_m_2mass'</span><span class="p">]</span><span class="o">.</span><span class="n">dtype</span><span class="p">,</span> <span class="n">i</span><span class="p">[</span><span class="s1">'tmass_key'</span><span class="p">]</span><span class="o">.</span><span class="n">dtype</span><span class="p">)</span>
<span class="k">print</span><span class="p">(</span><span class="s2">"</span><span class="si">%40s%10s%10s</span><span class="s2">"</span> <span class="o">%</span> <span class="n">c</span><span class="p">)</span>
</pre></div>
</div>
<p>The output table types (and hence their built-in utilities), column data types
and treatment of null values vary and this matters when trying to make a plot
or perform other types of analysis. We will use <code class="docutils literal"><span class="pre">t1</span></code> as the data types are
correct. It also preserves more of the metadata of the query.
Just a quick plot that reuses some of this metadata in the plot title.</p>
<div class="highlight-python"><div class="highlight"><pre><span></span><span class="n">clf</span><span class="p">()</span>
<span class="n">plot</span><span class="p">(</span><span class="n">t1</span><span class="p">[</span><span class="s1">'w2mag'</span><span class="p">]</span><span class="o">-</span><span class="n">t1</span><span class="p">[</span><span class="s1">'w3mag'</span><span class="p">],</span> <span class="n">t1</span><span class="p">[</span><span class="s1">'j_m_2mass'</span><span class="p">]</span><span class="o">-</span><span class="n">t1</span><span class="p">[</span><span class="s1">'h_m_2mass'</span><span class="p">],</span> <span class="s1">'ro'</span><span class="p">)</span>
<span class="n">xlabel</span><span class="p">(</span><span class="s1">'W2 - W3'</span><span class="p">)</span>
<span class="n">ylabel</span><span class="p">(</span><span class="s1">'J - H'</span><span class="p">)</span>
<span class="n">title</span><span class="p">(</span><span class="n">t1</span><span class="o">.</span><span class="n">keywords</span><span class="p">[</span><span class="s1">'SKYAREA'</span><span class="p">],</span> <span class="n">fontsize</span><span class="o">=</span><span class="s1">'small'</span><span class="p">)</span>
</pre></div>
</div>
<a class="reference internal image-reference" href="../_images/wise_cc.png"><img alt="../_images/wise_cc.png" src="../_images/wise_cc.png" style="width: 400.0px; height: 300.0px;" /></a>
</div><div class="admonition-read-the-instructions admonition">
<p class="first admonition-title">Read the instructions!</p>
<p>Because these web interfaces vary from archive to archive it is
worth emphasizing that building the query string for a particular
data archive begins with reading the documentation page
for that archive’s GET interface.</p>
<p>Here are some links to these documentation pages for some archives</p>
<ul class="simple">
<li><a class="reference external" href="http://irsa.ipac.caltech.edu/applications/Gator/GatorAid/irsa/catsearch.html">IRSA</a></li>
<li><a class="reference external" href="http://archive.stsci.edu/vo/mast_services.html">MAST</a></li>
</ul>
<p>and the service url for these are:</p>
<ul class="last simple">
<li>(IRSA) <a class="reference external" href="http://irsa.ipac.caltech.edu/cgi-bin/Gator/nph-query">http://irsa.ipac.caltech.edu/cgi-bin/Gator/nph-query</a></li>
<li>(MAST, HST) <a class="reference external" href="http://archive.stsci.edu/hst/search.php">http://archive.stsci.edu/hst/search.php</a></li>
</ul>
</div>
<div class="admonition warning">
<p class="first admonition-title">Warning</p>
<p class="last">Nothing I’ve shown actually checks that the data expected is the
data retrieved. See also warnings in the documentation for
<a class="reference external" href="http://docs.python.org/library/urllib2">urllib2</a> and <a class="reference external" href="http://docs.python.org/library/urllib">urllib</a> about <code class="docutils literal"><span class="pre">https</span></code> transactions. As with
everything web based, you should implement assertions or tests to
check your results before continuing.</p>
</div>
</div>
</div>
</div>
</div>
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