UGentBiomath / wwdata-docs

Documentation of the wwdata package: https://GitHub.com/UGentBiomath/wwdata

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  <div class="section" id="wwdata">
<h1>wwdata<a class="headerlink" href="#wwdata" title="Permalink to this headline">¶</a></h1>
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<p>Data analysis package aimed at data obtained in the context of (waste)water</p>
<ul class="simple">
<li>Free software: GNU General Public License v3</li>
<li>Documentation: <a class="reference external" href="https://ugentbiomath.github.io/wwdata-docs/">https://ugentbiomath.github.io/wwdata-docs/</a></li>
<li>Funding: Waterboard De Dommel</li>
<li>Context: PhD research at BIOMATH, Ghent University</li>
</ul>
<div class="section" id="structure">
<h2>Structure<a class="headerlink" href="#structure" title="Permalink to this headline">¶</a></h2>
<p>The package contains one class and three subclasses, all in separate .py files. Division in subclasses is based on the type of data:</p>
<ul class="simple">
<li>online data from full scale installations (OnlineSensorBased)</li>
<li>online data from lab experiments (LabSensorBased)</li>
<li>offline data obtained from lab experiments (LabExperimentBased).</li>
</ul>
<p>Jupyter notbeook files (.ipynb) illustrate the use of the available functions. The most developed class is the OnlineSensorBased one. The workflow of this class is shown in below Figure, where OSB represents an OnlineSensorBased object. Main premises are to never delete data but to tag it and to be able to check the reliability when gaps in datasets are filled.</p>
<img alt="_images/packagestructure_rel.png" class="align-center" src="_images/packagestructure_rel.png" />
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<div class="section" id="examples">
<h2>Examples<a class="headerlink" href="#examples" title="Permalink to this headline">¶</a></h2>
<p>For the workflow with code and more specific examples, check out the Showcase Jupyter Notebook(s) included as documentation of the package.</p>
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<div class="section" id="credits">
<h2>Credits<a class="headerlink" href="#credits" title="Permalink to this headline">¶</a></h2>
<p>This package was created with support from <a class="reference external" href="https://github.com/audreyr/cookiecutter">Cookiecutter</a> and the <a class="reference external" href="https://github.com/audreyr/cookiecutter-pypackage">audreyr/cookiecutter-pypackage</a> project template, as well as this <a class="reference external" href="http://daler.github.io/sphinxdoc-test/includeme.html">GitHub page</a>, provided by <a class="reference external" href="https://github.com/daler">Daler</a> and explaining how to use sphinx documentation generation in combination with GitHub Pages.</p>
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<li><a class="reference internal" href="#">wwdata</a><ul>
<li><a class="reference internal" href="#structure">Structure</a></li>
<li><a class="reference internal" href="#examples">Examples</a></li>
<li><a class="reference internal" href="#credits">Credits</a></li>
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Documentation of the wwdata package: https://GitHub.com/UGentBiomath/wwdata


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