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<h1>Source code for pyFTS.data.SONDA</h1><div class="highlight"><pre>
<span></span><span class="sd">"""</span>
<span class="sd">SONDA - Sistema de Organização Nacional de Dados Ambientais, from INPE - Instituto Nacional de Pesquisas Espaciais, Brasil.</span>
<span class="sd">Brasilia station</span>
<span class="sd">Source: http://sonda.ccst.inpe.br/</span>
<span class="sd">"""</span>
<span class="kn">from</span> <span class="nn">pyFTS.data</span> <span class="kn">import</span> <span class="n">common</span>
<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<div class="viewcode-block" id="get_data"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.SONDA.get_data">[docs]</a><span class="k">def</span> <span class="nf">get_data</span><span class="p">(</span><span class="n">field</span><span class="p">:</span><span class="nb">str</span><span class="p">)</span> <span class="o">-></span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">:</span>
<span class="w"> </span><span class="sd">"""</span>
<span class="sd"> Get a simple univariate time series data.</span>
<span class="sd"> :param field: the dataset field name to extract</span>
<span class="sd"> :return: numpy array</span>
<span class="sd"> """</span>
<span class="n">dat</span> <span class="o">=</span> <span class="n">get_dataframe</span><span class="p">()</span>
<span class="n">dat</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">dat</span><span class="p">[</span><span class="n">field</span><span class="p">])</span>
<span class="k">return</span> <span class="n">dat</span></div>
<div class="viewcode-block" id="get_dataframe"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.SONDA.get_dataframe">[docs]</a><span class="k">def</span> <span class="nf">get_dataframe</span><span class="p">()</span> <span class="o">-></span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">:</span>
<span class="w"> </span><span class="sd">"""</span>
<span class="sd"> Get the complete multivariate time series data.</span>
<span class="sd"> :return: Pandas DataFrame</span>
<span class="sd"> """</span>
<span class="n">dat</span> <span class="o">=</span> <span class="n">common</span><span class="o">.</span><span class="n">get_dataframe</span><span class="p">(</span><span class="s1">'SONDA_BSB.csv.bz2'</span><span class="p">,</span>
<span class="s1">'https://github.com/petroniocandido/pyFTS/raw/8f20f3634aa6a8f58083bdcd1bbf93795e6ed767/pyFTS/data/SONDA_BSB.csv.bz2'</span><span class="p">,</span>
<span class="n">sep</span><span class="o">=</span><span class="s2">";"</span><span class="p">,</span> <span class="n">compression</span><span class="o">=</span><span class="s1">'bz2'</span><span class="p">)</span>
<span class="n">dat</span><span class="p">[</span><span class="s2">"datahora"</span><span class="p">]</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">to_datetime</span><span class="p">(</span><span class="n">dat</span><span class="p">[</span><span class="s2">"datahora"</span><span class="p">],</span> <span class="nb">format</span><span class="o">=</span><span class="s1">'%Y-%m-</span><span class="si">%d</span><span class="s1"> %H:%M:%S'</span><span class="p">)</span>
<span class="k">return</span> <span class="n">dat</span></div>
</pre></div>
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