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<title>pyFTS.data.AirPassengers — pyFTS 1.6 documentation</title>
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<h1>Source code for pyFTS.data.AirPassengers</h1><div class="highlight"><pre>
<span></span><span class="sd">"""</span>
<span class="sd">Monthly totals of a airline passengers from USA, from January 1949 through December 1960.</span>
<span class="sd">Source: Hyndman, R.J., Time Series Data Library, http://www-personal.buseco.monash.edu.au/~hyndman/TSDL/.</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.AirPassengers.get_data">[docs]</a><span class="k">def</span> <span class="nf">get_data</span><span class="p">():</span>
<span class="sd">"""</span>
<span class="sd"> Get a simple univariate time series data.</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="s2">"Passengers"</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.AirPassengers.get_dataframe">[docs]</a><span class="k">def</span> <span class="nf">get_dataframe</span><span class="p">():</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">'AirPassengers.csv'</span><span class="p">,</span>
<span class="s1">'https://github.com/petroniocandido/pyFTS/raw/8f20f3634aa6a8f58083bdcd1bbf93795e6ed767/pyFTS/data/AirPassengers.csv'</span><span class="p">,</span>
<span class="n">sep</span><span class="o">=</span><span class="s2">","</span><span class="p">)</span>
<span class="k">return</span> <span class="n">dat</span></div>
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