algo et data science

2018-08-24 14:09:11 +02:00
parent ff92e072df
commit 37fccd7d8c
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+++ b/algo/algofundoc/_build/html/notebooks/Pandas.html
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+
+
+<!doctype html>
+
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en">
+  <head>
+    <meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+    <title>Pandas &#8212; algofun   documentation</title>
+    <link rel="stylesheet" href="../_static/bizstyle.css" type="text/css" />
+    <link rel="stylesheet" href="../_static/pygments.css" type="text/css" />
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+    <script type="text/javascript" src="_static/css3-mediaqueries.js"></script>
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+  </head>
+  <body>
+    <div class="related" role="navigation" aria-label="related navigation">
+      <h3>Navigation</h3>
+      <ul>
+        <li class="right" style="margin-right: 10px">
+          <a href="../genindex.html" title="General Index"
+             accesskey="I">index</a></li>
+        <li class="right" >
+          <a href="../pandas.html" title="pandas"
+             accesskey="P">previous</a> |</li>
+        <li class="nav-item nav-item-0"><a href="../index.html">algofun   documentation</a> &#187;</li>
+          <li class="nav-item nav-item-1"><a href="../pandas.html" accesskey="U">pandas</a> &#187;</li> 
+      </ul>
+    </div>
+
+    <div class="document">
+      <div class="documentwrapper">
+          <div class="body" role="main">
+            
+  
+<style>
+/* CSS for nbsphinx extension */
+
+/* remove conflicting styling from Sphinx themes */
+div.nbinput,
+div.nbinput div.prompt,
+div.nbinput div.input_area,
+div.nbinput div[class*=highlight],
+div.nbinput div[class*=highlight] pre,
+div.nboutput,
+div.nbinput div.prompt,
+div.nbinput div.output_area,
+div.nboutput div[class*=highlight],
+div.nboutput div[class*=highlight] pre {
+    background: none;
+    border: none;
+    padding: 0 0;
+    margin: 0;
+    box-shadow: none;
+}
+
+/* avoid gaps between output lines */
+div.nboutput div[class*=highlight] pre {
+    line-height: normal;
+}
+
+/* input/output containers */
+div.nbinput,
+div.nboutput {
+    display: -webkit-flex;
+    display: flex;
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+    margin: 0;
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+@media (max-width: 540px) {
+    div.nbinput,
+    div.nboutput {
+        flex-direction: column;
+    }
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+
+/* input container */
+div.nbinput {
+    padding-top: 5px;
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+
+/* last container */
+div.nblast {
+    padding-bottom: 5px;
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+
+/* input prompt */
+div.nbinput div.prompt pre {
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+
+/* output prompt */
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+/* all prompts */
+div.nbinput div.prompt,
+div.nboutput div.prompt {
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+@media (max-width: 540px) {
+    div.nbinput div.prompt,
+    div.nboutput div.prompt {
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+    div.nboutput div.output_area {
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+
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+div.nbinput div.input_area {
+    border: 1px solid #cfcfcf;
+    border-radius: 2px;
+    background: #f7f7f7;
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+
+/* override MathJax center alignment in output cells */
+div.nboutput div[class*=MathJax] {
+    text-align: left !important;
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+
+/* override sphinx.ext.pngmath center alignment in output cells */
+div.nboutput div.math p {
+    text-align: left;
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+
+/* standard error */
+div.nboutput div.output_area.stderr {
+    background: #fdd;
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+/* ANSI colors */
+.ansi-black-fg { color: #3E424D; }
+.ansi-black-bg { background-color: #3E424D; }
+.ansi-black-intense-fg { color: #282C36; }
+.ansi-black-intense-bg { background-color: #282C36; }
+.ansi-red-fg { color: #E75C58; }
+.ansi-red-bg { background-color: #E75C58; }
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+.ansi-white-intense-fg { color: #A1A6B2; }
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+
+.ansi-default-inverse-fg { color: #FFFFFF; }
+.ansi-default-inverse-bg { background-color: #000000; }
+
+.ansi-bold { font-weight: bold; }
+.ansi-underline { text-decoration: underline; }
+</style>
+<p>The <strong>import</strong> keyword is used to import a library</p>
+<div class="nbinput docutils container">
+<div class="prompt highlight-none"><div class="highlight"><pre>
+<span></span>In [2]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3"><div class="highlight"><pre>
+<span></span><span class="kn">import</span> <span class="nn">math</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">math</span><span class="o">.</span><span class="n">cos</span><span class="p">(</span><span class="n">math</span><span class="o">.</span><span class="n">pi</span> <span class="o">/</span> <span class="mi">2</span><span class="p">))</span>
+
+</pre></div>
+</div>
+</div>
+<div class="nboutput nblast docutils container">
+<div class="prompt empty docutils container">
+</div>
+<div class="output_area docutils container">
+<div class="highlight"><pre>
+6.123233995736766e-17
+</pre></div></div>
+</div>
+<div class="section" id="Pandas">
+<h1>Pandas<a class="headerlink" href="#Pandas" title="Permalink to this headline">¶</a></h1>
+<div class="nbinput docutils container">
+<div class="prompt highlight-none"><div class="highlight"><pre>
+<span></span>In [1]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3"><div class="highlight"><pre>
+<span></span><span class="kn">import</span> <span class="nn">numpy</span>
+<span class="kn">import</span> <span class="nn">pandas</span>
+<span class="n">rows</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;line1&#39;</span><span class="p">,</span> <span class="s1">&#39;line2&#39;</span><span class="p">,</span> <span class="s1">&#39;line3&#39;</span><span class="p">,</span> <span class="s1">&#39;line4&#39;</span><span class="p">,</span> <span class="s1">&#39;line5&#39;</span><span class="p">]</span>
+<span class="n">cols</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;col1&#39;</span><span class="p">,</span> <span class="s1">&#39;col2&#39;</span><span class="p">,</span> <span class="s1">&#39;col3&#39;</span><span class="p">,</span> <span class="s1">&#39;col4&#39;</span><span class="p">]</span>
+<span class="kn">from</span> <span class="nn">IPython.display</span> <span class="k">import</span> <span class="n">display</span>
+<span class="n">dataframe</span> <span class="o">=</span> <span class="n">pandas</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">numpy</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">randn</span><span class="p">(</span><span class="mi">5</span><span class="p">,</span><span class="mi">4</span><span class="p">),</span> <span class="n">index</span><span class="o">=</span><span class="n">rows</span><span class="p">,</span> <span class="n">columns</span><span class="o">=</span><span class="n">cols</span><span class="p">)</span>
+<span class="n">display</span><span class="p">(</span><span class="n">dataframe</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="nboutput nblast docutils container">
+<div class="prompt empty docutils container">
+</div>
+<div class="output_area docutils container">
+<div>
+<table border="1" class="dataframe">
+  <thead>
+    <tr style="text-align: right;">
+      <th></th>
+      <th>col1</th>
+      <th>col2</th>
+      <th>col3</th>
+      <th>col4</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <th>line1</th>
+      <td>-0.882125</td>
+      <td>2.176452</td>
+      <td>0.163955</td>
+      <td>-0.618232</td>
+    </tr>
+    <tr>
+      <th>line2</th>
+      <td>-0.721538</td>
+      <td>0.035578</td>
+      <td>0.180072</td>
+      <td>1.015987</td>
+    </tr>
+    <tr>
+      <th>line3</th>
+      <td>-1.162355</td>
+      <td>0.384632</td>
+      <td>-0.674092</td>
+      <td>0.162693</td>
+    </tr>
+    <tr>
+      <th>line4</th>
+      <td>-1.399455</td>
+      <td>-0.698512</td>
+      <td>0.039420</td>
+      <td>0.898408</td>
+    </tr>
+    <tr>
+      <th>line5</th>
+      <td>1.755342</td>
+      <td>-0.073242</td>
+      <td>-1.502503</td>
+      <td>-0.586194</td>
+    </tr>
+  </tbody>
+</table>
+</div></div>
+</div>
+<div class="section" id="reorganise-a-dataframe-from-datas-as-a-dictionary-with-tuples-as-keys">
+<h2>reorganise a <strong>dataframe</strong> from datas as a dictionary with tuples as keys<a class="headerlink" href="#reorganise-a-dataframe-from-datas-as-a-dictionary-with-tuples-as-keys" title="Permalink to this headline">¶</a></h2>
+<div class="nbinput docutils container">
+<div class="prompt highlight-none"><div class="highlight"><pre>
+<span></span>In [2]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3"><div class="highlight"><pre>
+<span></span><span class="n">dico</span> <span class="o">=</span> <span class="p">{(</span><span class="s1">&#39;john&#39;</span><span class="p">,</span> <span class="s1">&#39;Snow&#39;</span><span class="p">)</span> <span class="p">:</span> <span class="mi">12</span><span class="p">,</span> <span class="p">(</span><span class="s1">&#39;Paul&#39;</span><span class="p">,</span> <span class="s1">&#39;Durand&#39;</span><span class="p">)</span> <span class="p">:</span> <span class="mi">13</span><span class="p">,</span> <span class="p">(</span><span class="s2">&quot;Pierre&quot;</span><span class="p">,</span> <span class="s2">&quot;Dupont&quot;</span><span class="p">)</span> <span class="p">:</span> <span class="mi">16</span><span class="p">,</span> <span class="p">(</span><span class="s2">&quot;Cerise&quot;</span><span class="p">,</span> <span class="s2">&quot;Lanister&quot;</span><span class="p">)</span> <span class="p">:</span> <span class="mi">14</span><span class="p">}</span>
+<span class="kn">import</span> <span class="nn">pandas</span>
+<span class="n">df</span> <span class="o">=</span> <span class="n">pandas</span><span class="o">.</span><span class="n">Series</span><span class="p">(</span><span class="n">dico</span><span class="p">)</span><span class="o">.</span><span class="n">reset_index</span><span class="p">()</span>
+<span class="n">df</span><span class="o">.</span><span class="n">columns</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;Column 1&#39;</span><span class="p">,</span> <span class="s1">&#39;Column 2&#39;</span><span class="p">,</span> <span class="s1">&#39;Column 3&#39;</span><span class="p">]</span>
+<span class="kn">from</span> <span class="nn">IPython.display</span> <span class="k">import</span> <span class="n">display</span>
+<span class="n">display</span><span class="p">(</span><span class="n">df</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="nboutput nblast docutils container">
+<div class="prompt empty docutils container">
+</div>
+<div class="output_area docutils container">
+<div>
+<style scoped>
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+  <thead>
+    <tr style="text-align: right;">
+      <th></th>
+      <th>Column 1</th>
+      <th>Column 2</th>
+      <th>Column 3</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <th>0</th>
+      <td>Cerise</td>
+      <td>Lanister</td>
+      <td>14</td>
+    </tr>
+    <tr>
+      <th>1</th>
+      <td>Paul</td>
+      <td>Durand</td>
+      <td>13</td>
+    </tr>
+    <tr>
+      <th>2</th>
+      <td>Pierre</td>
+      <td>Dupont</td>
+      <td>16</td>
+    </tr>
+    <tr>
+      <th>3</th>
+      <td>john</td>
+      <td>Snow</td>
+      <td>12</td>
+    </tr>
+  </tbody>
+</table>
+</div></div>
+</div>
+</div>
+</div>
+
+
+          </div>
+      </div>
+      <div class="clearer"></div>
+    </div>
+    <div class="related" role="navigation" aria-label="related navigation">
+      <h3>Navigation</h3>
+      <ul>
+        <li class="right" style="margin-right: 10px">
+          <a href="../genindex.html" title="General Index"
+             >index</a></li>
+        <li class="right" >
+          <a href="../pandas.html" title="pandas"
+             >previous</a> |</li>
+        <li class="nav-item nav-item-0"><a href="../index.html">algofun   documentation</a> &#187;</li>
+          <li class="nav-item nav-item-1"><a href="../pandas.html" >pandas</a> &#187;</li> 
+      </ul>
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+    <div class="footer" role="contentinfo">
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