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  <div class="section" id="module-ipfml.utils">
<span id="ipfml-utils"></span><h1>ipfml.utils<a class="headerlink" href="#module-ipfml.utils" title="Permalink to this headline">¶</a></h1>
<p>Utils functions of ipfml package (array normalization)</p>
<p class="rubric">Functions</p>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%" />
<col width="90%" />
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><a class="reference internal" href="#ipfml.utils.get_entropy" title="ipfml.utils.get_entropy"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_entropy</span></code></a>(arr)</td>
<td>Returns the computed entropy from arr</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="#ipfml.utils.get_entropy_contribution_of_i" title="ipfml.utils.get_entropy_contribution_of_i"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_entropy_contribution_of_i</span></code></a>(arr,&nbsp;i)</td>
<td>Returns the entropy contribution i column</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="#ipfml.utils.get_entropy_without_i" title="ipfml.utils.get_entropy_without_i"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_entropy_without_i</span></code></a>(arr,&nbsp;i)</td>
<td>Returns the computed entropy from arr without contribution of i</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="#ipfml.utils.get_indices_of_highest_values" title="ipfml.utils.get_indices_of_highest_values"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_indices_of_highest_values</span></code></a>(arr,&nbsp;n)</td>
<td>Returns indices of n highest values from list or 1D numpy array</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="#ipfml.utils.get_indices_of_lowest_values" title="ipfml.utils.get_indices_of_lowest_values"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_indices_of_lowest_values</span></code></a>(arr,&nbsp;n)</td>
<td>Returns indices of n highest values from list or 1D numpy array</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="#ipfml.utils.integral_area_simps" title="ipfml.utils.integral_area_simps"><code class="xref py py-obj docutils literal notranslate"><span class="pre">integral_area_simps</span></code></a>(y_values,&nbsp;dx)</td>
<td>Returns area under curves from provided data points using Simpsons rule</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="#ipfml.utils.integral_area_trapz" title="ipfml.utils.integral_area_trapz"><code class="xref py py-obj docutils literal notranslate"><span class="pre">integral_area_trapz</span></code></a>(y_values,&nbsp;dx)</td>
<td>Returns area under curves from provided data points using Trapezium rule</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="#ipfml.utils.normalize_2D_arr" title="ipfml.utils.normalize_2D_arr"><code class="xref py py-obj docutils literal notranslate"><span class="pre">normalize_2D_arr</span></code></a>(arr)</td>
<td>Return array normalize from its min and max values</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="#ipfml.utils.normalize_arr" title="ipfml.utils.normalize_arr"><code class="xref py py-obj docutils literal notranslate"><span class="pre">normalize_arr</span></code></a>(arr)</td>
<td>Normalize data of 1D array shape</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="#ipfml.utils.normalize_arr_with_range" title="ipfml.utils.normalize_arr_with_range"><code class="xref py py-obj docutils literal notranslate"><span class="pre">normalize_arr_with_range</span></code></a>(arr,&nbsp;min,&nbsp;max)</td>
<td>Normalize data of 1D array shape</td>
</tr>
</tbody>
</table>
<dl class="function">
<dt id="ipfml.utils.get_entropy">
<code class="descclassname">ipfml.utils.</code><code class="descname">get_entropy</code><span class="sig-paren">(</span><em>arr</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/ipfml/utils.html#get_entropy"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#ipfml.utils.get_entropy" title="Permalink to this definition">¶</a></dt>
<dd><p>Returns the computed entropy from arr</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>arr</strong> – numpy array</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body">entropy score computed</td>
</tr>
</tbody>
</table>
<p>Example:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">ipfml</span> <span class="k">import</span> <span class="n">utils</span>
<span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">arr</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">10</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">entropy</span> <span class="o">=</span> <span class="n">utils</span><span class="o">.</span><span class="n">get_entropy</span><span class="p">(</span><span class="n">arr</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="nb">int</span><span class="p">(</span><span class="n">entropy</span><span class="p">)</span>
<span class="go">0</span>
</pre></div>
</div>
</dd></dl>

<dl class="function">
<dt id="ipfml.utils.get_entropy_contribution_of_i">
<code class="descclassname">ipfml.utils.</code><code class="descname">get_entropy_contribution_of_i</code><span class="sig-paren">(</span><em>arr</em>, <em>i</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/ipfml/utils.html#get_entropy_contribution_of_i"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#ipfml.utils.get_entropy_contribution_of_i" title="Permalink to this definition">¶</a></dt>
<dd><p>Returns the entropy contribution i column</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
<li><strong>arr</strong> – numpy array</li>
<li><strong>i</strong> – column index</li>
</ul>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last">entropy contribution score computed</p>
</td>
</tr>
</tbody>
</table>
<p>Example:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">ipfml</span> <span class="k">import</span> <span class="n">utils</span>
<span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">arr</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">10</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">entropy</span> <span class="o">=</span> <span class="n">utils</span><span class="o">.</span><span class="n">get_entropy_contribution_of_i</span><span class="p">(</span><span class="n">arr</span><span class="p">,</span> <span class="mi">3</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="nb">int</span><span class="p">(</span><span class="n">entropy</span><span class="p">)</span>
<span class="go">0</span>
</pre></div>
</div>
</dd></dl>

<dl class="function">
<dt id="ipfml.utils.get_entropy_without_i">
<code class="descclassname">ipfml.utils.</code><code class="descname">get_entropy_without_i</code><span class="sig-paren">(</span><em>arr</em>, <em>i</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/ipfml/utils.html#get_entropy_without_i"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#ipfml.utils.get_entropy_without_i" title="Permalink to this definition">¶</a></dt>
<dd><p>Returns the computed entropy from arr without contribution of i</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
<li><strong>arr</strong> – numpy array</li>
<li><strong>i</strong> – column index</li>
</ul>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last">entropy score computed</p>
</td>
</tr>
</tbody>
</table>
<p>Example:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">ipfml</span> <span class="k">import</span> <span class="n">utils</span>
<span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">arr</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">10</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">entropy</span> <span class="o">=</span> <span class="n">utils</span><span class="o">.</span><span class="n">get_entropy_without_i</span><span class="p">(</span><span class="n">arr</span><span class="p">,</span> <span class="mi">3</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="nb">int</span><span class="p">(</span><span class="n">entropy</span><span class="p">)</span>
<span class="go">0</span>
</pre></div>
</div>
</dd></dl>

<dl class="function">
<dt id="ipfml.utils.get_indices_of_highest_values">
<code class="descclassname">ipfml.utils.</code><code class="descname">get_indices_of_highest_values</code><span class="sig-paren">(</span><em>arr</em>, <em>n</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/ipfml/utils.html#get_indices_of_highest_values"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#ipfml.utils.get_indices_of_highest_values" title="Permalink to this definition">¶</a></dt>
<dd><p>Returns indices of n highest values from list or 1D numpy array</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
<li><strong>arr</strong> – List of numpy array</li>
<li><strong>n</strong> – number of highest elements wanted</li>
</ul>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last"><cite>n</cite> indices of highest values</p>
</td>
</tr>
</tbody>
</table>
<p>Example:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">ipfml</span> <span class="k">import</span> <span class="n">utils</span>
<span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">arr</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">10</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">indices</span> <span class="o">=</span> <span class="n">utils</span><span class="o">.</span><span class="n">get_indices_of_highest_values</span><span class="p">(</span><span class="n">arr</span><span class="p">,</span> <span class="mi">2</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">indices</span>
<span class="go">array([9, 8])</span>
</pre></div>
</div>
</dd></dl>

<dl class="function">
<dt id="ipfml.utils.get_indices_of_lowest_values">
<code class="descclassname">ipfml.utils.</code><code class="descname">get_indices_of_lowest_values</code><span class="sig-paren">(</span><em>arr</em>, <em>n</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/ipfml/utils.html#get_indices_of_lowest_values"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#ipfml.utils.get_indices_of_lowest_values" title="Permalink to this definition">¶</a></dt>
<dd><p>Returns indices of n highest values from list or 1D numpy array</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
<li><strong>arr</strong> – List of numpy array</li>
<li><strong>n</strong> – number of highest elements wanted</li>
</ul>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last"><cite>n</cite> indices of highest values</p>
</td>
</tr>
</tbody>
</table>
<p>Example:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">ipfml</span> <span class="k">import</span> <span class="n">utils</span>
<span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">arr</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">10</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">indices</span> <span class="o">=</span> <span class="n">utils</span><span class="o">.</span><span class="n">get_indices_of_lowest_values</span><span class="p">(</span><span class="n">arr</span><span class="p">,</span> <span class="mi">2</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">indices</span>
<span class="go">array([0, 1])</span>
</pre></div>
</div>
</dd></dl>

<dl class="function">
<dt id="ipfml.utils.integral_area_simps">
<code class="descclassname">ipfml.utils.</code><code class="descname">integral_area_simps</code><span class="sig-paren">(</span><em>y_values</em>, <em>dx</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/ipfml/utils.html#integral_area_simps"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#ipfml.utils.integral_area_simps" title="Permalink to this definition">¶</a></dt>
<dd><p>Returns area under curves from provided data points using Simpsons rule</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
<li><strong>y_values</strong> – y values of curve</li>
<li><strong>dx</strong> – number of unit for x axis</li>
</ul>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last">Area under curves obtained from these points</p>
</td>
</tr>
</tbody>
</table>
<p>Example:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">ipfml</span> <span class="k">import</span> <span class="n">utils</span>
<span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">y_values</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="mi">5</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">18</span><span class="p">,</span> <span class="mi">19</span><span class="p">,</span> <span class="mi">18</span><span class="p">,</span> <span class="mi">7</span><span class="p">,</span> <span class="mi">4</span><span class="p">])</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">area</span> <span class="o">=</span> <span class="n">utils</span><span class="o">.</span><span class="n">integral_area_simps</span><span class="p">(</span><span class="n">y_values</span><span class="p">,</span> <span class="n">dx</span><span class="o">=</span><span class="mi">5</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">area</span>
<span class="go">460.0</span>
</pre></div>
</div>
</dd></dl>

<dl class="function">
<dt id="ipfml.utils.integral_area_trapz">
<code class="descclassname">ipfml.utils.</code><code class="descname">integral_area_trapz</code><span class="sig-paren">(</span><em>y_values</em>, <em>dx</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/ipfml/utils.html#integral_area_trapz"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#ipfml.utils.integral_area_trapz" title="Permalink to this definition">¶</a></dt>
<dd><p>Returns area under curves from provided data points using Trapezium rule</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
<li><strong>y_values</strong> – y values of curve</li>
<li><strong>dx</strong> – number of unit for x axis</li>
</ul>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last">Area under curves obtained from these points</p>
</td>
</tr>
</tbody>
</table>
<p>Example:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">ipfml</span> <span class="k">import</span> <span class="n">utils</span>
<span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">y_values</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="mi">5</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">18</span><span class="p">,</span> <span class="mi">19</span><span class="p">,</span> <span class="mi">18</span><span class="p">,</span> <span class="mi">7</span><span class="p">,</span> <span class="mi">4</span><span class="p">])</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">area</span> <span class="o">=</span> <span class="n">utils</span><span class="o">.</span><span class="n">integral_area_trapz</span><span class="p">(</span><span class="n">y_values</span><span class="p">,</span> <span class="n">dx</span><span class="o">=</span><span class="mi">5</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">area</span>
<span class="go">452.5</span>
</pre></div>
</div>
</dd></dl>

<dl class="function">
<dt id="ipfml.utils.normalize_2D_arr">
<code class="descclassname">ipfml.utils.</code><code class="descname">normalize_2D_arr</code><span class="sig-paren">(</span><em>arr</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/ipfml/utils.html#normalize_2D_arr"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#ipfml.utils.normalize_2D_arr" title="Permalink to this definition">¶</a></dt>
<dd><p>Return array normalize from its min and max values</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>arr</strong> – 2D Numpy array</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body">Normalized 2D Numpy array</td>
</tr>
</tbody>
</table>
<p>Example:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">PIL</span> <span class="k">import</span> <span class="n">Image</span>
<span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">ipfml</span> <span class="k">import</span> <span class="n">utils</span><span class="p">,</span> <span class="n">processing</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">img</span> <span class="o">=</span> <span class="n">Image</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="s1">&#39;./images/test_img.png&#39;</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">img_mscn</span> <span class="o">=</span> <span class="n">processing</span><span class="o">.</span><span class="n">rgb_to_mscn</span><span class="p">(</span><span class="n">img</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">img_normalized</span> <span class="o">=</span> <span class="n">utils</span><span class="o">.</span><span class="n">normalize_2D_arr</span><span class="p">(</span><span class="n">img_mscn</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">img_normalized</span><span class="o">.</span><span class="n">shape</span>
<span class="go">(200, 200)</span>
</pre></div>
</div>
</dd></dl>

<dl class="function">
<dt id="ipfml.utils.normalize_arr">
<code class="descclassname">ipfml.utils.</code><code class="descname">normalize_arr</code><span class="sig-paren">(</span><em>arr</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/ipfml/utils.html#normalize_arr"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#ipfml.utils.normalize_arr" title="Permalink to this definition">¶</a></dt>
<dd><p>Normalize data of 1D array shape</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>arr</strong> – array data of 1D shape</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body">Normalized 1D array</td>
</tr>
</tbody>
</table>
<p>Example:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">ipfml</span> <span class="k">import</span> <span class="n">utils</span>
<span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">arr</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">11</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">arr_normalized</span> <span class="o">=</span> <span class="n">utils</span><span class="o">.</span><span class="n">normalize_arr</span><span class="p">(</span><span class="n">arr</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">arr_normalized</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span>
<span class="go">0.1</span>
</pre></div>
</div>
</dd></dl>

<dl class="function">
<dt id="ipfml.utils.normalize_arr_with_range">
<code class="descclassname">ipfml.utils.</code><code class="descname">normalize_arr_with_range</code><span class="sig-paren">(</span><em>arr</em>, <em>min</em>, <em>max</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/ipfml/utils.html#normalize_arr_with_range"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#ipfml.utils.normalize_arr_with_range" title="Permalink to this definition">¶</a></dt>
<dd><p>Normalize data of 1D array shape</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>arr</strong> – array data of 1D shape</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body">Normalized 1D Numpy array</td>
</tr>
</tbody>
</table>
<p>Example:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">ipfml</span> <span class="k">import</span> <span class="n">utils</span>
<span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">arr</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">11</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">arr_normalized</span> <span class="o">=</span> <span class="n">utils</span><span class="o">.</span><span class="n">normalize_arr_with_range</span><span class="p">(</span><span class="n">arr</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">20</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">arr_normalized</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span>
<span class="go">0.05</span>
</pre></div>
</div>
</dd></dl>

</div>


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