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<h1>Source code for data_juicer.analysis.overall_analysis</h1><div class="highlight"><pre>
<span></span><span class="kn">import</span> <span class="nn">os</span>

<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>


<div class="viewcode-block" id="OverallAnalysis"><a class="viewcode-back" href="../../../data_juicer.analysis.html#data_juicer.analysis.overall_analysis.OverallAnalysis">[docs]</a><span class="k">class</span> <span class="nc">OverallAnalysis</span><span class="p">:</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;Apply analysis on the overall stats, including mean, std, quantiles,</span>
<span class="sd"> etc.&quot;&quot;&quot;</span>

<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dataset</span><span class="p">,</span> <span class="n">output_path</span><span class="p">):</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Initialization method.</span>

<span class="sd"> :param dataset: the dataset to be analysed</span>
<span class="sd"> :param output_path: path to store the analysis results.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="bp">self</span><span class="o">.</span><span class="n">stats</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">dataset</span><span class="p">[</span><span class="s1">&#39;stats&#39;</span><span class="p">])</span>
<span class="bp">self</span><span class="o">.</span><span class="n">output_path</span> <span class="o">=</span> <span class="n">output_path</span>
<span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">output_path</span><span class="p">):</span>
<span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">output_path</span><span class="p">)</span>

<span class="c1"># default percentiles to analyse</span>
<span class="bp">self</span><span class="o">.</span><span class="n">default_percentiles</span> <span class="o">=</span> <span class="p">[</span><span class="mf">0.25</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">,</span> <span class="mf">0.75</span><span class="p">]</span>

<div class="viewcode-block" id="OverallAnalysis.analyse"><a class="viewcode-back" href="../../../data_juicer.analysis.html#data_juicer.analysis.overall_analysis.OverallAnalysis.analyse">[docs]</a> <span class="k">def</span> <span class="nf">analyse</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">percentiles</span><span class="o">=</span><span class="p">[]):</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Apply overall analysis on the whole dataset based on the describe</span>
<span class="sd"> method of pandas.</span>

<span class="sd"> :param percentiles: percentiles to analyse</span>
<span class="sd"> :return: the overall analysis result.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="c1"># merge default and customized percentiles and get overall information</span>
<span class="n">percentiles</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="nb">set</span><span class="p">(</span><span class="n">percentiles</span> <span class="o">+</span> <span class="bp">self</span><span class="o">.</span><span class="n">default_percentiles</span><span class="p">))</span>
<span class="n">overall</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">stats</span><span class="o">.</span><span class="n">describe</span><span class="p">(</span><span class="n">percentiles</span><span class="o">=</span><span class="n">percentiles</span><span class="p">,</span> <span class="n">include</span><span class="o">=</span><span class="s1">&#39;all&#39;</span><span class="p">)</span>

<span class="c1"># export to result report file</span>
<span class="n">overall</span><span class="o">.</span><span class="n">to_csv</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">output_path</span><span class="p">,</span> <span class="s1">&#39;overall.csv&#39;</span><span class="p">))</span>
<span class="n">overall</span><span class="o">.</span><span class="n">to_markdown</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">output_path</span><span class="p">,</span> <span class="s1">&#39;overall.md&#39;</span><span class="p">))</span>

<span class="k">return</span> <span class="n">overall</span></div></div>
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