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Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍 https://github.com/madlabunimib/PyCTBN
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<div class="section" id="pyctbn-pyctbn-utility-package">
<h1>PyCTBN.PyCTBN.utility package<a class="headerlink" href="#pyctbn-pyctbn-utility-package" title="Permalink to this headline"></a></h1>
<div class="section" id="submodules">
<h2>Submodules<a class="headerlink" href="#submodules" title="Permalink to this headline"></a></h2>
</div>
<div class="section" id="module-PyCTBN.PyCTBN.utility.abstract_exporter">
<span id="pyctbn-pyctbn-utility-abstract-exporter-module"></span><h2>PyCTBN.PyCTBN.utility.abstract_exporter module<a class="headerlink" href="#module-PyCTBN.PyCTBN.utility.abstract_exporter" title="Permalink to this headline"></a></h2>
<dl class="py class">
<dt class="sig sig-object py" id="PyCTBN.PyCTBN.utility.abstract_exporter.AbstractExporter">
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">PyCTBN.PyCTBN.utility.abstract_exporter.</span></span><span class="sig-name descname"><span class="pre">AbstractExporter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">variables</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">]</span></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">dyn_str</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">]</span></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">dyn_cims</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.utility.abstract_exporter.AbstractExporter" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">abc.ABC</span></code></p>
<p>Abstract class that exposes the methods to save in json format a network information
along with one or more trajectories generated basing on it</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>_variables</strong> (<em>pandas.DataFrame</em>) – Dataframe containing the nodes labels and cardinalities</p></li>
<li><p><strong>_dyn_str</strong> (<em>pandas.DataFrame</em>) – Dataframe containing the structure of the network (edges)</p></li>
<li><p><strong>_dyn_cims</strong> (<em>dict</em>) – It contains, for every variable (label is the key), the SetOfCims object related to it</p></li>
<li><p><strong>_trajectories</strong> (<em>List</em>) – List of trajectories, that can be added subsequently</p></li>
</ul>
</dd>
</dl>
<dl class="py method">
<dt class="sig sig-object py" id="PyCTBN.PyCTBN.utility.abstract_exporter.AbstractExporter.add_trajectory">
<span class="sig-name descname"><span class="pre">add_trajectory</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">trajectory</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.utility.abstract_exporter.AbstractExporter.add_trajectory" title="Permalink to this definition"></a></dt>
<dd><p>Add a new trajectory to the current list</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>trajectory</strong> (<em>pandas.DataFrame</em>) – The trajectory to add</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="PyCTBN.PyCTBN.utility.abstract_exporter.AbstractExporter.out_file">
<em class="property"><span class="pre">abstract</span> </em><span class="sig-name descname"><span class="pre">out_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filename</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.utility.abstract_exporter.AbstractExporter.out_file" title="Permalink to this definition"></a></dt>
<dd><dl class="simple">
<dt>Create a file in current directory and write on it the previously added data </dt><dd><p>(variables, dyn_str, dyn_cims and trajectories)</p>
</dd>
</dl>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>filename</strong> (<em>string</em>) – Name of the output file (it must include json extension)</p>
</dd>
</dl>
</dd></dl>
</dd></dl>
</div>
<div class="section" id="module-PyCTBN.PyCTBN.utility.abstract_importer">
<span id="pyctbn-pyctbn-utility-abstract-importer-module"></span><h2>PyCTBN.PyCTBN.utility.abstract_importer module<a class="headerlink" href="#module-PyCTBN.PyCTBN.utility.abstract_importer" title="Permalink to this headline"></a></h2>
<dl class="py class">
<dt class="sig sig-object py" id="PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter">
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">PyCTBN.PyCTBN.utility.abstract_importer.</span></span><span class="sig-name descname"><span class="pre">AbstractImporter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></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">trajectory_list</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></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">variables</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">]</span></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">prior_net_structure</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">abc.ABC</span></code></p>
<p>Abstract class that exposes all the necessary methods to process the trajectories and the net structure.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>file_path</strong> (<em>str</em>) – the file path, or dataset name if you import already processed data</p></li>
<li><p><strong>trajectory_list</strong> (<em>typing.Union</em><em>[</em><em>pandas.DataFrame</em><em>, </em><em>numpy.ndarray</em><em>]</em>) – Dataframe or numpy array containing the concatenation of all the processed trajectories</p></li>
<li><p><strong>variables</strong> (<em>pandas.DataFrame</em>) – Dataframe containing the nodes labels and cardinalities</p></li>
</ul>
</dd>
<dt class="field-even">Prior_net_structure</dt>
<dd class="field-even"><p>Dataframe containing the structure of the network (edges)</p>
</dd>
<dt class="field-odd">_sorter</dt>
<dd class="field-odd"><p>A list containing the variables labels in the SAME order as the columns in <code class="docutils literal notranslate"><span class="pre">concatenated_samples</span></code></p>
</dd>
</dl>
<div class="admonition warning">
<p class="admonition-title">Warning</p>
<p>The parameters <code class="docutils literal notranslate"><span class="pre">variables</span></code> and <code class="docutils literal notranslate"><span class="pre">prior_net_structure</span></code> HAVE to be properly constructed
as Pandas Dataframes with the following structure:
Header of _df_structure = [From_Node | To_Node]
Header of _df_variables = [Variable_Label | Variable_Cardinality]
See the tutorial on how to construct a correct <code class="docutils literal notranslate"><span class="pre">concatenated_samples</span></code> Dataframe/ndarray.</p>
</div>
<div class="admonition note">
<p class="admonition-title">Note</p>
<p>See :class:<code class="docutils literal notranslate"><span class="pre">JsonImporter</span></code> for an example implementation</p>
</div>
<dl class="py method">
<dt class="sig sig-object py" id="PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.build_list_of_samples_array">
<span class="sig-name descname"><span class="pre">build_list_of_samples_array</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">concatenated_sample</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pandas.core.frame.DataFrame</span></span></em><span class="sig-paren">)</span> &#x2192; <span class="pre">List</span><a class="headerlink" href="#PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.build_list_of_samples_array" title="Permalink to this definition"></a></dt>
<dd><p>Builds a List containing the the delta times numpy array, and the complete transitions matrix</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>concatenated_sample</strong> (<em>pandas.Dataframe</em>) – the dataframe/array from which the time, and transitions matrix have to be extracted
and converted</p>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>the resulting list of numpy arrays</p>
</dd>
<dt class="field-odd">Return type</dt>
<dd class="field-odd"><p>List</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.build_sorter">
<em class="property"><span class="pre">abstract</span> </em><span class="sig-name descname"><span class="pre">build_sorter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">trajecory_header</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">object</span></span></em><span class="sig-paren">)</span> &#x2192; <span class="pre">List</span><a class="headerlink" href="#PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.build_sorter" title="Permalink to this definition"></a></dt>
<dd><p>Initializes the <code class="docutils literal notranslate"><span class="pre">_sorter</span></code> class member from a trajectory dataframe, exctracting the header of the frame
and keeping ONLY the variables symbolic labels, cutting out the time label in the header.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>trajecory_header</strong> (<em>object</em>) – an object that will be used to define the header</p>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>A list containing the processed header.</p>
</dd>
<dt class="field-odd">Return type</dt>
<dd class="field-odd"><p>List</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.clear_concatenated_frame">
<span class="sig-name descname"><span class="pre">clear_concatenated_frame</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> &#x2192; <span class="pre">None</span><a class="headerlink" href="#PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.clear_concatenated_frame" title="Permalink to this definition"></a></dt>
<dd><p>Removes all values in the dataframe concatenated_samples.</p>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.compute_row_delta_in_all_samples_frames">
<span class="sig-name descname"><span class="pre">compute_row_delta_in_all_samples_frames</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_samples_list</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">List</span></span></em><span class="sig-paren">)</span> &#x2192; <span class="pre">None</span><a class="headerlink" href="#PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.compute_row_delta_in_all_samples_frames" title="Permalink to this definition"></a></dt>
<dd><p>Calls the method <code class="docutils literal notranslate"><span class="pre">compute_row_delta_sigle_samples_frame</span></code> on every dataframe present in the list
<code class="docutils literal notranslate"><span class="pre">df_samples_list</span></code>.
Concatenates the result in the dataframe <code class="docutils literal notranslate"><span class="pre">concatanated_samples</span></code></p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>df_samples_list</strong> (<em>List</em>) – the datframe’s list to be processed and concatenated</p>
</dd>
</dl>
<div class="admonition warning">
<p class="admonition-title">Warning</p>
<p>The Dataframe sample_frame has to follow the column structure of this header:
Header of sample_frame = [Time | Variable values]
The class member self._sorter HAS to be properly INITIALIZED (See class members definition doc)</p>
</div>
<div class="admonition note">
<p class="admonition-title">Note</p>
<p>After the call of this method the class member <code class="docutils literal notranslate"><span class="pre">concatanated_samples</span></code> will contain all processed
and merged trajectories</p>
</div>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.compute_row_delta_sigle_samples_frame">
<span class="sig-name descname"><span class="pre">compute_row_delta_sigle_samples_frame</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sample_frame</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pandas.core.frame.DataFrame</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">columns_header</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">List</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shifted_cols_header</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">List</span></span></em><span class="sig-paren">)</span> &#x2192; <span class="pre">pandas.core.frame.DataFrame</span><a class="headerlink" href="#PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.compute_row_delta_sigle_samples_frame" title="Permalink to this definition"></a></dt>
<dd><p>Computes the difference between each value present in th time column.
Copies and shift by one position up all the values present in the remaining columns.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>sample_frame</strong> (<em>pandas.Dataframe</em>) – the traj to be processed</p></li>
<li><p><strong>columns_header</strong> (<em>List</em>) – the original header of sample_frame</p></li>
<li><p><strong>shifted_cols_header</strong> (<em>List</em>) – a copy of columns_header with changed names of the contents</p></li>
</ul>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>The processed dataframe</p>
</dd>
<dt class="field-odd">Return type</dt>
<dd class="field-odd"><p>pandas.Dataframe</p>
</dd>
</dl>
<div class="admonition warning">
<p class="admonition-title">Warning</p>
<p>the Dataframe <code class="docutils literal notranslate"><span class="pre">sample_frame</span></code> has to follow the column structure of this header:
Header of sample_frame = [Time | Variable values]</p>
</div>
</dd></dl>
<dl class="py property">
<dt class="sig sig-object py" id="PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.concatenated_samples">
<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">concatenated_samples</span></span><em class="property"><span class="pre">:</span> <span class="pre">pandas.core.frame.DataFrame</span></em><a class="headerlink" href="#PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.concatenated_samples" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.dataset_id">
<em class="property"><span class="pre">abstract</span> </em><span class="sig-name descname"><span class="pre">dataset_id</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> &#x2192; <span class="pre">object</span><a class="headerlink" href="#PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.dataset_id" title="Permalink to this definition"></a></dt>
<dd><p>If the original dataset contains multiple dataset, this method returns a unique id to identify the current
dataset</p>
</dd></dl>
<dl class="py property">
<dt class="sig sig-object py" id="PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.file_path">
<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">file_path</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span></em><a class="headerlink" href="#PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.file_path" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py property">
<dt class="sig sig-object py" id="PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.sorter">
<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">sorter</span></span><em class="property"><span class="pre">:</span> <span class="pre">List</span></em><a class="headerlink" href="#PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.sorter" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py property">
<dt class="sig sig-object py" id="PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.structure">
<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">structure</span></span><em class="property"><span class="pre">:</span> <span class="pre">pandas.core.frame.DataFrame</span></em><a class="headerlink" href="#PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.structure" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py property">
<dt class="sig sig-object py" id="PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.variables">
<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">variables</span></span><em class="property"><span class="pre">:</span> <span class="pre">pandas.core.frame.DataFrame</span></em><a class="headerlink" href="#PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter.variables" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
</div>
<div class="section" id="module-PyCTBN.PyCTBN.utility.cache">
<span id="pyctbn-pyctbn-utility-cache-module"></span><h2>PyCTBN.PyCTBN.utility.cache module<a class="headerlink" href="#module-PyCTBN.PyCTBN.utility.cache" title="Permalink to this headline"></a></h2>
<dl class="py class">
<dt class="sig sig-object py" id="PyCTBN.PyCTBN.utility.cache.Cache">
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">PyCTBN.PyCTBN.utility.cache.</span></span><span class="sig-name descname"><span class="pre">Cache</span></span><a class="headerlink" href="#PyCTBN.PyCTBN.utility.cache.Cache" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
<p>This class acts as a cache of <code class="docutils literal notranslate"><span class="pre">SetOfCims</span></code> objects for a node.</p>
<dl class="field-list simple">
<dt class="field-odd">__list_of_sets_of_parents</dt>
<dd class="field-odd"><p>a list of <code class="docutils literal notranslate"><span class="pre">Sets</span></code> objects of the parents to which the cim in cache at SAME
index is related</p>
</dd>
<dt class="field-even">__actual_cache</dt>
<dd class="field-even"><p>a list of setOfCims objects</p>
</dd>
</dl>
<dl class="py method">
<dt class="sig sig-object py" id="PyCTBN.PyCTBN.utility.cache.Cache.clear">
<span class="sig-name descname"><span class="pre">clear</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.utility.cache.Cache.clear" title="Permalink to this definition"></a></dt>
<dd><p>Clear the contents both of <code class="docutils literal notranslate"><span class="pre">__actual_cache</span></code> and <code class="docutils literal notranslate"><span class="pre">__list_of_sets_of_parents</span></code>.</p>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="PyCTBN.PyCTBN.utility.cache.Cache.find">
<span class="sig-name descname"><span class="pre">find</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">parents_comb</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Set</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.utility.cache.Cache.find" title="Permalink to this definition"></a></dt>
<dd><p>Tries to find in cache given the symbolic parents combination <code class="docutils literal notranslate"><span class="pre">parents_comb</span></code> the <code class="docutils literal notranslate"><span class="pre">SetOfCims</span></code>
related to that <code class="docutils literal notranslate"><span class="pre">parents_comb</span></code>.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>parents_comb</strong> (<em>Set</em>) – the parents related to that <code class="docutils literal notranslate"><span class="pre">SetOfCims</span></code></p>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>A <code class="docutils literal notranslate"><span class="pre">SetOfCims</span></code> object if the <code class="docutils literal notranslate"><span class="pre">parents_comb</span></code> index is found in <code class="docutils literal notranslate"><span class="pre">__list_of_sets_of_parents</span></code>.
None otherwise.</p>
</dd>
<dt class="field-odd">Return type</dt>
<dd class="field-odd"><p><a class="reference internal" href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.set_of_cims.SetOfCims" title="PyCTBN.PyCTBN.structure_graph.set_of_cims.SetOfCims">SetOfCims</a></p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="PyCTBN.PyCTBN.utility.cache.Cache.put">
<span class="sig-name descname"><span class="pre">put</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">parents_comb</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Set</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">socim</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.set_of_cims.SetOfCims" title="PyCTBN.PyCTBN.structure_graph.set_of_cims.SetOfCims"><span class="pre">PyCTBN.PyCTBN.structure_graph.set_of_cims.SetOfCims</span></a></span></em><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.utility.cache.Cache.put" title="Permalink to this definition"></a></dt>
<dd><p>Place in cache the <code class="docutils literal notranslate"><span class="pre">SetOfCims</span></code> object, and the related symbolic index <code class="docutils literal notranslate"><span class="pre">parents_comb</span></code> in
<code class="docutils literal notranslate"><span class="pre">__list_of_sets_of_parents</span></code>.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>parents_comb</strong> (<em>Set</em>) – the symbolic set index</p></li>
<li><p><strong>socim</strong> (<a class="reference internal" href="PyCTBN.PyCTBN.structure_graph.html#PyCTBN.PyCTBN.structure_graph.set_of_cims.SetOfCims" title="PyCTBN.PyCTBN.structure_graph.set_of_cims.SetOfCims"><em>SetOfCims</em></a>) – the related SetOfCims object</p></li>
</ul>
</dd>
</dl>
</dd></dl>
</dd></dl>
</div>
<div class="section" id="module-PyCTBN.PyCTBN.utility.json_exporter">
<span id="pyctbn-pyctbn-utility-json-exporter-module"></span><h2>PyCTBN.PyCTBN.utility.json_exporter module<a class="headerlink" href="#module-PyCTBN.PyCTBN.utility.json_exporter" title="Permalink to this headline"></a></h2>
<dl class="py class">
<dt class="sig sig-object py" id="PyCTBN.PyCTBN.utility.json_exporter.JsonExporter">
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">PyCTBN.PyCTBN.utility.json_exporter.</span></span><span class="sig-name descname"><span class="pre">JsonExporter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">variables</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">]</span></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">dyn_str</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">]</span></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">dyn_cims</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.utility.json_exporter.JsonExporter" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="#PyCTBN.PyCTBN.utility.abstract_exporter.AbstractExporter" title="PyCTBN.PyCTBN.utility.abstract_exporter.AbstractExporter"><code class="xref py py-class docutils literal notranslate"><span class="pre">PyCTBN.PyCTBN.utility.abstract_exporter.AbstractExporter</span></code></a></p>
<p>Provides the methods to save in json format a network information
along with one or more trajectories generated basing on it</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>_variables</strong> (<em>pandas.DataFrame</em>) – Dataframe containing the nodes labels and cardinalities</p></li>
<li><p><strong>_dyn_str</strong> (<em>pandas.DataFrame</em>) – Dataframe containing the structure of the network (edges)</p></li>
<li><p><strong>_dyn_cims</strong> (<em>dict</em>) – It contains, for every variable (label is the key), the SetOfCims object related to it</p></li>
<li><p><strong>_trajectories</strong> (<em>List</em>) – List of trajectories, that can be added subsequently</p></li>
</ul>
</dd>
</dl>
<dl class="py method">
<dt class="sig sig-object py" id="PyCTBN.PyCTBN.utility.json_exporter.JsonExporter.cims_to_json">
<span class="sig-name descname"><span class="pre">cims_to_json</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> &#x2192; <span class="pre">dict</span><a class="headerlink" href="#PyCTBN.PyCTBN.utility.json_exporter.JsonExporter.cims_to_json" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="PyCTBN.PyCTBN.utility.json_exporter.JsonExporter.out_file">
<span class="sig-name descname"><span class="pre">out_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filename</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.utility.json_exporter.JsonExporter.out_file" title="Permalink to this definition"></a></dt>
<dd><dl class="simple">
<dt>Create a file in current directory and write on it the previously added data </dt><dd><p>(variables, dyn_str, dyn_cims and trajectories)</p>
</dd>
</dl>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>filename</strong> (<em>string</em>) – Name of the output file (it must include json extension)</p>
</dd>
</dl>
</dd></dl>
</dd></dl>
</div>
<div class="section" id="module-PyCTBN.PyCTBN.utility.json_importer">
<span id="pyctbn-pyctbn-utility-json-importer-module"></span><h2>PyCTBN.PyCTBN.utility.json_importer module<a class="headerlink" href="#module-PyCTBN.PyCTBN.utility.json_importer" title="Permalink to this headline"></a></h2>
<dl class="py class">
<dt class="sig sig-object py" id="PyCTBN.PyCTBN.utility.json_importer.JsonImporter">
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">PyCTBN.PyCTBN.utility.json_importer.</span></span><span class="sig-name descname"><span class="pre">JsonImporter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">samples_label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">structure_label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">variables_label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_key</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">variables_key</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cims_label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.utility.json_importer.JsonImporter" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="#PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter" title="PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter"><code class="xref py py-class docutils literal notranslate"><span class="pre">PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter</span></code></a></p>
<p>Implements the abstracts methods of AbstractImporter and adds all the necessary methods to process and prepare
the data in json extension.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>file_path</strong> (<em>string</em>) – the path of the file that contains tha data to be imported</p></li>
<li><p><strong>samples_label</strong> (<em>string</em>) – the reference key for the samples in the trajectories</p></li>
<li><p><strong>structure_label</strong> (<em>string</em>) – the reference key for the structure of the network data</p></li>
<li><p><strong>variables_label</strong> (<em>string</em>) – the reference key for the cardinalites of the nodes data</p></li>
<li><p><strong>time_key</strong> (<em>string</em>) – the key used to identify the timestamps in each trajectory</p></li>
<li><p><strong>variables_key</strong> (<em>string</em>) – the key used to identify the names of the variables in the net</p></li>
</ul>
</dd>
<dt class="field-even">_array_indx</dt>
<dd class="field-even"><p>the index of the outer JsonArray to extract the data from</p>
</dd>
<dt class="field-odd">_df_samples_list</dt>
<dd class="field-odd"><p>a Dataframe list in which every dataframe contains a trajectory</p>
</dd>
<dt class="field-even">_raw_data</dt>
<dd class="field-even"><p>The raw contents of the json file to import</p>
</dd>
</dl>
<dl class="py method">
<dt class="sig sig-object py" id="PyCTBN.PyCTBN.utility.json_importer.JsonImporter.build_sorter">
<span class="sig-name descname"><span class="pre">build_sorter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sample_frame</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pandas.core.frame.DataFrame</span></span></em><span class="sig-paren">)</span> &#x2192; <span class="pre">List</span><a class="headerlink" href="#PyCTBN.PyCTBN.utility.json_importer.JsonImporter.build_sorter" title="Permalink to this definition"></a></dt>
<dd><p>Implements the abstract method build_sorter of the <code class="xref py py-class docutils literal notranslate"><span class="pre">AbstractImporter</span></code> for this dataset.</p>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="PyCTBN.PyCTBN.utility.json_importer.JsonImporter.clear_data_frame_list">
<span class="sig-name descname"><span class="pre">clear_data_frame_list</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> &#x2192; <span class="pre">None</span><a class="headerlink" href="#PyCTBN.PyCTBN.utility.json_importer.JsonImporter.clear_data_frame_list" title="Permalink to this definition"></a></dt>
<dd><p>Removes all values present in the dataframes in the list <code class="docutils literal notranslate"><span class="pre">_df_samples_list</span></code>.</p>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="PyCTBN.PyCTBN.utility.json_importer.JsonImporter.dataset_id">
<span class="sig-name descname"><span class="pre">dataset_id</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> &#x2192; <span class="pre">object</span><a class="headerlink" href="#PyCTBN.PyCTBN.utility.json_importer.JsonImporter.dataset_id" title="Permalink to this definition"></a></dt>
<dd><p>If the original dataset contains multiple dataset, this method returns a unique id to identify the current
dataset</p>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="PyCTBN.PyCTBN.utility.json_importer.JsonImporter.import_data">
<span class="sig-name descname"><span class="pre">import_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">indx</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> &#x2192; <span class="pre">None</span><a class="headerlink" href="#PyCTBN.PyCTBN.utility.json_importer.JsonImporter.import_data" title="Permalink to this definition"></a></dt>
<dd><p>Implements the abstract method of <code class="xref py py-class docutils literal notranslate"><span class="pre">AbstractImporter</span></code>.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>indx</strong> (<em>int</em>) – the index of the outer JsonArray to extract the data from</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="PyCTBN.PyCTBN.utility.json_importer.JsonImporter.import_sampled_cims">
<span class="sig-name descname"><span class="pre">import_sampled_cims</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raw_data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">List</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">indx</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cims_key</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> &#x2192; <span class="pre">Dict</span><a class="headerlink" href="#PyCTBN.PyCTBN.utility.json_importer.JsonImporter.import_sampled_cims" title="Permalink to this definition"></a></dt>
<dd><p>Imports the synthetic CIMS in the dataset in a dictionary, using variables labels
as keys for the set of CIMS of a particular node.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>raw_data</strong> (<em>List</em>) – List of Dicts</p></li>
<li><p><strong>indx</strong> (<em>int</em>) – The index of the array from which the data have to be extracted</p></li>
<li><p><strong>cims_key</strong> (<em>string</em>) – the key where the json object cims are placed</p></li>
</ul>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>a dictionary containing the sampled CIMS for all the variables in the net</p>
</dd>
<dt class="field-odd">Return type</dt>
<dd class="field-odd"><p>Dictionary</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="PyCTBN.PyCTBN.utility.json_importer.JsonImporter.import_structure">
<span class="sig-name descname"><span class="pre">import_structure</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raw_data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">List</span></span></em><span class="sig-paren">)</span> &#x2192; <span class="pre">pandas.core.frame.DataFrame</span><a class="headerlink" href="#PyCTBN.PyCTBN.utility.json_importer.JsonImporter.import_structure" title="Permalink to this definition"></a></dt>
<dd><p>Imports in a dataframe the data in the list raw_data at the key <code class="docutils literal notranslate"><span class="pre">_structure_label</span></code></p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>raw_data</strong> (<em>List</em>) – List of Dicts</p>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>Dataframe containg the starting node a ending node of every arc of the network</p>
</dd>
<dt class="field-odd">Return type</dt>
<dd class="field-odd"><p>pandas.Dataframe</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="PyCTBN.PyCTBN.utility.json_importer.JsonImporter.import_trajectories">
<span class="sig-name descname"><span class="pre">import_trajectories</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raw_data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">List</span></span></em><span class="sig-paren">)</span> &#x2192; <span class="pre">List</span><a class="headerlink" href="#PyCTBN.PyCTBN.utility.json_importer.JsonImporter.import_trajectories" title="Permalink to this definition"></a></dt>
<dd><p>Imports the trajectories from the list of dicts <code class="docutils literal notranslate"><span class="pre">raw_data</span></code>.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>raw_data</strong> (<em>List</em>) – List of Dicts</p>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>List of dataframes containing all the trajectories</p>
</dd>
<dt class="field-odd">Return type</dt>
<dd class="field-odd"><p>List</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="PyCTBN.PyCTBN.utility.json_importer.JsonImporter.import_variables">
<span class="sig-name descname"><span class="pre">import_variables</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raw_data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">List</span></span></em><span class="sig-paren">)</span> &#x2192; <span class="pre">pandas.core.frame.DataFrame</span><a class="headerlink" href="#PyCTBN.PyCTBN.utility.json_importer.JsonImporter.import_variables" title="Permalink to this definition"></a></dt>
<dd><p>Imports the data in <code class="docutils literal notranslate"><span class="pre">raw_data</span></code> at the key <code class="docutils literal notranslate"><span class="pre">_variables_label</span></code>.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>raw_data</strong> (<em>List</em>) – List of Dicts</p>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>Datframe containg the variables simbolic labels and their cardinalities</p>
</dd>
<dt class="field-odd">Return type</dt>
<dd class="field-odd"><p>pandas.Dataframe</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="PyCTBN.PyCTBN.utility.json_importer.JsonImporter.normalize_trajectories">
<span class="sig-name descname"><span class="pre">normalize_trajectories</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raw_data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">List</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">indx</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">trajectories_key</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> &#x2192; <span class="pre">List</span><a class="headerlink" href="#PyCTBN.PyCTBN.utility.json_importer.JsonImporter.normalize_trajectories" title="Permalink to this definition"></a></dt>
<dd><p>Extracts the trajectories in <code class="docutils literal notranslate"><span class="pre">raw_data</span></code> at the index <code class="docutils literal notranslate"><span class="pre">index</span></code> at the key <code class="docutils literal notranslate"><span class="pre">trajectories</span> <span class="pre">key</span></code>.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>raw_data</strong> (<em>List</em>) – List of Dicts</p></li>
<li><p><strong>indx</strong> (<em>int</em>) – The index of the array from which the data have to be extracted</p></li>
<li><p><strong>trajectories_key</strong> (<em>string</em>) – the key of the trajectories objects</p></li>
</ul>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>A list of daframes containg the trajectories</p>
</dd>
<dt class="field-odd">Return type</dt>
<dd class="field-odd"><p>List</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="PyCTBN.PyCTBN.utility.json_importer.JsonImporter.one_level_normalizing">
<span class="sig-name descname"><span class="pre">one_level_normalizing</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raw_data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">List</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">indx</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">key</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> &#x2192; <span class="pre">pandas.core.frame.DataFrame</span><a class="headerlink" href="#PyCTBN.PyCTBN.utility.json_importer.JsonImporter.one_level_normalizing" title="Permalink to this definition"></a></dt>
<dd><p>Extracts the one-level nested data in the list <code class="docutils literal notranslate"><span class="pre">raw_data</span></code> at the index <code class="docutils literal notranslate"><span class="pre">indx</span></code> at the key <code class="docutils literal notranslate"><span class="pre">key</span></code>.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>raw_data</strong> (<em>List</em>) – List of Dicts</p></li>
<li><p><strong>indx</strong> (<em>int</em>) – The index of the array from which the data have to be extracted</p></li>
<li><p><strong>key</strong> (<em>string</em>) – the key for the Dicts from which exctract data</p></li>
</ul>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>A normalized dataframe</p>
</dd>
<dt class="field-odd">Return type</dt>
<dd class="field-odd"><p>pandas.Datframe</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="PyCTBN.PyCTBN.utility.json_importer.JsonImporter.read_json_file">
<span class="sig-name descname"><span class="pre">read_json_file</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> &#x2192; <span class="pre">List</span><a class="headerlink" href="#PyCTBN.PyCTBN.utility.json_importer.JsonImporter.read_json_file" title="Permalink to this definition"></a></dt>
<dd><p>Reads the JSON file in the path self.filePath.</p>
<dl class="field-list simple">
<dt class="field-odd">Returns</dt>
<dd class="field-odd"><p>The contents of the json file</p>
</dd>
<dt class="field-even">Return type</dt>
<dd class="field-even"><p>List</p>
</dd>
</dl>
</dd></dl>
</dd></dl>
</div>
<div class="section" id="module-PyCTBN.PyCTBN.utility.sample_importer">
<span id="pyctbn-pyctbn-utility-sample-importer-module"></span><h2>PyCTBN.PyCTBN.utility.sample_importer module<a class="headerlink" href="#module-PyCTBN.PyCTBN.utility.sample_importer" title="Permalink to this headline"></a></h2>
<dl class="py class">
<dt class="sig sig-object py" id="PyCTBN.PyCTBN.utility.sample_importer.SampleImporter">
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">PyCTBN.PyCTBN.utility.sample_importer.</span></span><span class="sig-name descname"><span class="pre">SampleImporter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">trajectory_list</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">,</span> </span><span class="pre">List</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></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">variables</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">,</span> </span><span class="pre">List</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></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">prior_net_structure</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">,</span> </span><span class="pre">List</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.utility.sample_importer.SampleImporter" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="#PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter" title="PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter"><code class="xref py py-class docutils literal notranslate"><span class="pre">PyCTBN.PyCTBN.utility.abstract_importer.AbstractImporter</span></code></a></p>
<p>Implements the abstracts methods of AbstractImporter and adds all the necessary methods to process and prepare
the data loaded directly by using DataFrame</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>trajectory_list</strong> (<em>typing.Union</em><em>[</em><em>pd.DataFrame</em><em>, </em><em>np.ndarray</em><em>, </em><em>typing.List</em><em>]</em>) – the data that describes the trajectories</p></li>
<li><p><strong>variables</strong> (<em>typing.Union</em><em>[</em><em>pd.DataFrame</em><em>, </em><em>np.ndarray</em><em>, </em><em>typing.List</em><em>]</em>) – the data that describes the variables with name and cardinality</p></li>
<li><p><strong>prior_net_structure</strong> (<em>typing.Union</em><em>[</em><em>pd.DataFrame</em><em>, </em><em>np.ndarray</em><em>, </em><em>typing.List</em><em>]</em>) – the data of the real structure, if it exists</p></li>
</ul>
</dd>
<dt class="field-even">_df_samples_list</dt>
<dd class="field-even"><p>a Dataframe list in which every dataframe contains a trajectory</p>
</dd>
<dt class="field-odd">_raw_data</dt>
<dd class="field-odd"><p>The raw contents of the json file to import</p>
</dd>
</dl>
<dl class="py method">
<dt class="sig sig-object py" id="PyCTBN.PyCTBN.utility.sample_importer.SampleImporter.build_sorter">
<span class="sig-name descname"><span class="pre">build_sorter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sample_frame</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pandas.core.frame.DataFrame</span></span></em><span class="sig-paren">)</span> &#x2192; <span class="pre">List</span><a class="headerlink" href="#PyCTBN.PyCTBN.utility.sample_importer.SampleImporter.build_sorter" title="Permalink to this definition"></a></dt>
<dd><p>Implements the abstract method build_sorter of the <code class="xref py py-class docutils literal notranslate"><span class="pre">AbstractImporter</span></code> in order to get the ordered variables list.</p>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="PyCTBN.PyCTBN.utility.sample_importer.SampleImporter.dataset_id">
<span class="sig-name descname"><span class="pre">dataset_id</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> &#x2192; <span class="pre">str</span><a class="headerlink" href="#PyCTBN.PyCTBN.utility.sample_importer.SampleImporter.dataset_id" title="Permalink to this definition"></a></dt>
<dd><p>If the original dataset contains multiple dataset, this method returns a unique id to identify the current
dataset</p>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="PyCTBN.PyCTBN.utility.sample_importer.SampleImporter.import_data">
<span class="sig-name descname"><span class="pre">import_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">header_column</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#PyCTBN.PyCTBN.utility.sample_importer.SampleImporter.import_data" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
</div>
<div class="section" id="module-PyCTBN.PyCTBN.utility">
<span id="module-contents"></span><h2>Module contents<a class="headerlink" href="#module-PyCTBN.PyCTBN.utility" title="Permalink to this headline"></a></h2>
</div>
</div>
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