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algo et data science
2018-08-24 14:09:11 +02:00
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<p>The <strong>import</strong> keyword is used to import a library</p>
<div class="nbinput docutils container">
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<span></span>In [2]:
</pre></div>
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<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>
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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>
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<span></span>In [1]:
</pre></div>
</div>
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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></th>
<th>col1</th>
<th>col2</th>
<th>col3</th>
<th>col4</th>
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</thead>
<tbody>
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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>
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<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>
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<span></span>In [2]:
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</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>
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<style scoped>
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<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>
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<tbody>
<tr>
<th>0</th>
<td>Cerise</td>
<td>Lanister</td>
<td>14</td>
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<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>
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<tr>
<th>3</th>
<td>john</td>
<td>Snow</td>
<td>12</td>
</tr>
</tbody>
</table>
</div></div>
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