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<p>The <strong>import</strong> keyword is used to import a library</p>
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<span></span>In [2]:
</pre></div>
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<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>
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6.123233995736766e-17
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<div class="section" id="Pandas">
<h1>Pandas<a class="headerlink" href="#Pandas" title="Permalink to this headline">¶</a></h1>
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<span></span>In [1]:
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<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>
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      <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>
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<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>
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<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>
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      <th>0</th>
      <td>Cerise</td>
      <td>Lanister</td>
      <td>14</td>
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      <td>Durand</td>
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      <th>3</th>
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      <td>Snow</td>
      <td>12</td>
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