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<section id="cases-by-location-location"> | ||
<h1>cases_by_location(location)<a class="headerlink" href="#cases-by-location-location" title="Link to this heading"></a></h1> | ||
<dl class="py function"> | ||
<dt class="sig sig-object py" id="outbreak_data.cases_by_location"> | ||
<span class="sig-prename descclassname"><span class="pre">outbreak_data.</span></span><span class="sig-name descname"><span class="pre">cases_by_location</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">location</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">server</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'api.outbreak.info'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">auth</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pull_smoothed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#outbreak_data.cases_by_location" title="Link to this definition"></a></dt> | ||
<dd><p>Loads data from a location if input is a string, or from multiple locations | ||
if location is a list of string locations. Since this API endpoint supports paging, collect_all is used to return all data.</p> | ||
<dl class="simple"> | ||
<dt>Arguments:</dt><dd><dl class="field-list simple"> | ||
<dt class="field-odd">location<span class="colon">:</span></dt> | ||
<dd class="field-odd"><p>A string or list of strings, separate multiple locations by “,”</p> | ||
</dd> | ||
<dt class="field-even">pull_smoothed<span class="colon">:</span></dt> | ||
<dd class="field-even"><p>For every value >= 0, returns 1000 obs. (paging)</p> | ||
</dd> | ||
<dt class="field-odd">return<span class="colon">:</span></dt> | ||
<dd class="field-odd"><p>A pandas dataframe</p> | ||
</dd> | ||
</dl> | ||
</dd> | ||
</dl> | ||
</dd></dl> | ||
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<p>Example usage:</p> | ||
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="c1">#Get the number of SARS-CoV-2 cases in Colorado.</span> | ||
<span class="n">df</span> <span class="o">=</span> <span class="n">outbreak_data</span><span class="o">.</span><span class="n">cases_by_location</span><span class="p">(</span><span class="s1">'USA_US-CO'</span><span class="p">)</span> | ||
<span class="nb">print</span><span class="p">(</span><span class="n">df</span><span class="p">)</span> | ||
</pre></div> | ||
</div> | ||
<div class="literal-block-wrapper docutils container" id="id1"> | ||
<div class="code-block-caption"><span class="caption-text">Output:</span><a class="headerlink" href="#id1" title="Link to this code"></a></div> | ||
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span> <span class="n">_id</span> <span class="n">_score</span> <span class="n">admin1</span> <span class="n">confirmed_numIncrease</span> \ | ||
<span class="mi">0</span> <span class="n">USA_Colorado_None2021</span><span class="o">-</span><span class="mi">03</span><span class="o">-</span><span class="mi">14</span> <span class="mf">8.438688</span> <span class="n">Colorado</span> <span class="mi">505</span> | ||
<span class="mi">1</span> <span class="n">USA_Colorado_None2021</span><span class="o">-</span><span class="mi">03</span><span class="o">-</span><span class="mi">18</span> <span class="mf">8.438688</span> <span class="n">Colorado</span> <span class="mi">1060</span> | ||
<span class="mi">2</span> <span class="n">USA_Colorado_None2021</span><span class="o">-</span><span class="mi">03</span><span class="o">-</span><span class="mi">20</span> <span class="mf">8.438688</span> <span class="n">Colorado</span> <span class="mi">852</span> | ||
<span class="mi">3</span> <span class="n">USA_Colorado_None2021</span><span class="o">-</span><span class="mi">03</span><span class="o">-</span><span class="mi">26</span> <span class="mf">8.438688</span> <span class="n">Colorado</span> <span class="mi">1184</span> | ||
<span class="mi">4</span> <span class="n">USA_Colorado_None2021</span><span class="o">-</span><span class="mi">04</span><span class="o">-</span><span class="mi">07</span> <span class="mf">8.438688</span> <span class="n">Colorado</span> <span class="mi">1897</span> | ||
<span class="o">...</span> <span class="o">...</span> <span class="o">...</span> <span class="o">...</span> <span class="o">...</span> | ||
<span class="mi">1116</span> <span class="n">USA_Colorado_None2022</span><span class="o">-</span><span class="mi">06</span><span class="o">-</span><span class="mi">22</span> <span class="mf">8.397695</span> <span class="n">Colorado</span> <span class="mi">2226</span> | ||
<span class="mi">1117</span> <span class="n">USA_Colorado_None2022</span><span class="o">-</span><span class="mi">06</span><span class="o">-</span><span class="mi">29</span> <span class="mf">8.397695</span> <span class="n">Colorado</span> <span class="mi">2402</span> | ||
<span class="mi">1118</span> <span class="n">USA_Colorado_None2022</span><span class="o">-</span><span class="mi">07</span><span class="o">-</span><span class="mi">09</span> <span class="mf">8.397695</span> <span class="n">Colorado</span> <span class="mi">1348</span> | ||
<span class="mi">1119</span> <span class="n">USA_Colorado_None2022</span><span class="o">-</span><span class="mi">07</span><span class="o">-</span><span class="mi">14</span> <span class="mf">8.397695</span> <span class="n">Colorado</span> <span class="mi">1924</span> | ||
<span class="mi">1120</span> <span class="n">USA_Colorado_None2022</span><span class="o">-</span><span class="mi">07</span><span class="o">-</span><span class="mi">16</span> <span class="mf">8.397695</span> <span class="n">Colorado</span> <span class="mi">1231</span> | ||
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||
<span class="n">date</span> | ||
<span class="mi">0</span> <span class="mi">2021</span><span class="o">-</span><span class="mi">03</span><span class="o">-</span><span class="mi">14</span> | ||
<span class="mi">1</span> <span class="mi">2021</span><span class="o">-</span><span class="mi">03</span><span class="o">-</span><span class="mi">18</span> | ||
<span class="mi">2</span> <span class="mi">2021</span><span class="o">-</span><span class="mi">03</span><span class="o">-</span><span class="mi">20</span> | ||
<span class="mi">3</span> <span class="mi">2021</span><span class="o">-</span><span class="mi">03</span><span class="o">-</span><span class="mi">26</span> | ||
<span class="mi">4</span> <span class="mi">2021</span><span class="o">-</span><span class="mi">04</span><span class="o">-</span><span class="mi">07</span> | ||
<span class="o">...</span> <span class="o">...</span> | ||
<span class="mi">1116</span> <span class="mi">2022</span><span class="o">-</span><span class="mi">06</span><span class="o">-</span><span class="mi">22</span> | ||
<span class="mi">1117</span> <span class="mi">2022</span><span class="o">-</span><span class="mi">06</span><span class="o">-</span><span class="mi">29</span> | ||
<span class="mi">1118</span> <span class="mi">2022</span><span class="o">-</span><span class="mi">07</span><span class="o">-</span><span class="mi">09</span> | ||
<span class="mi">1119</span> <span class="mi">2022</span><span class="o">-</span><span class="mi">07</span><span class="o">-</span><span class="mi">14</span> | ||
<span class="mi">1120</span> <span class="mi">2022</span><span class="o">-</span><span class="mi">07</span><span class="o">-</span><span class="mi">16</span> | ||
</pre></div> | ||
</div> | ||
</div> | ||
<p>[1121 rows x 5 columns]</p> | ||
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