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<!doctype html>
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Import Paths and Structure
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<h1 id="import-paths-and-structure"><span id="importpaths"></span>Import Paths and Structure<a class="headerlink" href="#import-paths-and-structure" title="Link to this heading">¶</a></h1>
<p>We offer two ways of importing functions and classes from statsmodels:</p>
<ol class="arabic simple">
<li><p><a class="reference internal" href="#api-import-for-interactive-use">API import for interactive use</a></p>
<ul class="simple">
<li><p>Allows tab completion</p></li>
</ul>
</li>
<li><p><a class="reference internal" href="#direct-import-for-programs">Direct import for programs</a></p>
<ul class="simple">
<li><p>Avoids importing unnecessary modules and commands</p></li>
</ul>
</li>
</ol>
<h2 id="api-import-for-interactive-use">API Import for interactive use<a class="headerlink" href="#api-import-for-interactive-use" title="Link to this heading">¶</a></h2>
<p>For interactive use the recommended import is:</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><code><span class="kn">import</span><span class="w"> </span><span class="nn">statsmodels.api</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">sm</span>
</code></pre></div>
</div>
<p>Importing <cite>statsmodels.api</cite> will load most of the public parts of statsmodels.
This makes most functions and classes conveniently available within one or two
levels, without making the “sm” namespace too crowded.</p>
<p>To see what functions and classes available, you can type the following (or use
the namespace exploration features of IPython, Spyder, IDLE, etc.):</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><code><span class="gp">>>> </span><span class="nb">dir</span><span class="p">(</span><span class="n">sm</span><span class="p">)</span>
<span class="go">['GLM', 'GLS', 'GLSAR', 'Logit', 'MNLogit', 'OLS', 'Poisson', 'Probit', 'RLM',</span>
<span class="go">'WLS', '__builtins__', '__doc__', '__file__', '__name__', '__package__',</span>
<span class="go">'add_constant', 'categorical', 'datasets', 'distributions', 'families',</span>
<span class="go">'graphics', 'iolib', 'nonparametric', 'qqplot', 'regression', 'robust',</span>
<span class="go">'stats', 'test', 'tools', 'tsa', 'version']</span>
<span class="gp">>>> </span><span class="nb">dir</span><span class="p">(</span><span class="n">sm</span><span class="o">.</span><span class="n">graphics</span><span class="p">)</span>
<span class="go">['__builtins__', '__doc__', '__file__', '__name__', '__package__',</span>
<span class="go">'abline_plot', 'beanplot', 'fboxplot', 'interaction_plot', 'qqplot',</span>
<span class="go">'rainbow', 'rainbowplot', 'violinplot']</span>
<span class="gp">>>> </span><span class="nb">dir</span><span class="p">(</span><span class="n">sm</span><span class="o">.</span><span class="n">tsa</span><span class="p">)</span>
<span class="go">['AR', 'ARMA', 'SVAR', 'VAR', '__builtins__', '__doc__',</span>
<span class="go">'__file__', '__name__', '__package__', 'acf', 'acovf', 'add_lag',</span>
<span class="go">'add_trend', 'adfuller', 'ccf', 'ccovf', 'datetools', 'detrend',</span>
<span class="go">'filters', 'grangercausalitytests', 'interp', 'lagmat', 'lagmat2ds', 'kpss',</span>
<span class="go">'pacf', 'pacf_ols', 'pacf_yw', 'periodogram', 'q_stat', 'range_unit_root_test',</span>
<span class="go">'stattools', 'tsatools', 'var']</span>
</code></pre></div>
</div>
<h3 id="notes">Notes<a class="headerlink" href="#notes" title="Link to this heading">¶</a></h3>
<p>The <cite>api</cite> modules may not include all the public functionality of statsmodels. If
you find something that should be added to the api, please file an issue on
github or report it to the mailing list.</p>
<p>The subpackages of statsmodels include <cite>api.py</cite> modules that are mainly
intended to collect the imports needed for those subpackages. The <cite>subpackage/api.py</cite>
files are imported into statsmodels api, for example</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><code><span class="kn">from</span><span class="w"> </span><span class="nn">.nonparametric</span><span class="w"> </span><span class="kn">import</span> <span class="n">api</span> <span class="k">as</span> <span class="n">nonparametric</span>
</code></pre></div>
</div>
<p>Users do not need to load the <cite>subpackage/api.py</cite> modules directly.</p>
<h2 id="direct-import-for-programs">Direct import for programs<a class="headerlink" href="#direct-import-for-programs" title="Link to this heading">¶</a></h2>
<p><code class="docutils literal notranslate"><span class="pre">statsmodels</span></code> submodules are arranged by topic (e.g. <cite>discrete</cite> for discrete
choice models, or <cite>tsa</cite> for time series analysis). Our directory tree (stripped
down) looks something like this:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><code><span class="n">statsmodels</span><span class="o">/</span>
<span class="fm">__init__</span><span class="o">.</span><span class="n">py</span>
<span class="n">api</span><span class="o">.</span><span class="n">py</span>
<span class="n">discrete</span><span class="o">/</span>
<span class="fm">__init__</span><span class="o">.</span><span class="n">py</span>
<span class="n">discrete_model</span><span class="o">.</span><span class="n">py</span>
<span class="n">tests</span><span class="o">/</span>
<span class="n">results</span><span class="o">/</span>
<span class="n">tsa</span><span class="o">/</span>
<span class="fm">__init__</span><span class="o">.</span><span class="n">py</span>
<span class="n">api</span><span class="o">.</span><span class="n">py</span>
<span class="n">tsatools</span><span class="o">.</span><span class="n">py</span>
<span class="n">stattools</span><span class="o">.</span><span class="n">py</span>
<span class="n">arima_process</span><span class="o">.</span><span class="n">py</span>
<span class="n">vector_ar</span><span class="o">/</span>
<span class="fm">__init__</span><span class="o">.</span><span class="n">py</span>
<span class="n">var_model</span><span class="o">.</span><span class="n">py</span>
<span class="n">tests</span><span class="o">/</span>
<span class="n">results</span><span class="o">/</span>