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<div class="colorscripter-code" style="color:#010101;font-family:Consolas, 'Liberation Mono', Menlo, Courier, monospace !important; position:relative !important;overflow:auto"><table class="colorscripter-code-table" style="margin:0;padding:0;border:none;background-color:#fafafa;border-radius:4px;" cellspacing="0" cellpadding="0"><tr><td style="padding:6px;border-right:2px solid #e5e5e5"><div style="margin:0;padding:0;word-break:normal;text-align:right;color:#666;font-family:Consolas, 'Liberation Mono', Menlo, Courier, monospace !important;line-height:130%"><div style="line-height:130%">1</div><div style="line-height:130%">2</div><div style="line-height:130%">3</div><div style="line-height:130%">4</div><div style="line-height:130%">5</div><div style="line-height:130%">6</div><div style="line-height:130%">7</div><div style="line-height:130%">8</div><div style="line-height:130%">9</div><div style="line-height:130%">10</div><div style="line-height:130%">11</div><div style="line-height:130%">12</div><div style="line-height:130%">13</div><div style="line-height:130%">14</div></div></td><td style="padding:6px 0;text-align:left"><div style="margin:0;padding:0;color:#010101;font-family:Consolas, 'Liberation Mono', Menlo, Courier, monospace !important;line-height:130%"><div style="padding:0 6px; white-space:pre; line-height:130%"><span style="color:#999999">#</span></div><div style="padding:0 6px; white-space:pre; line-height:130%"><span style="color:#999999"># 따라하며 배우는 파이썬과 데이터과학(생능출판사 2020)</span></div><div style="padding:0 6px; white-space:pre; line-height:130%"><span style="color:#999999"># 14.23 각 특징들 사이의 상관관계를 살펴보자, 393쪽</span></div><div style="padding:0 6px; white-space:pre; line-height:130%"><span style="color:#999999">#</span></div><div style="padding:0 6px; white-space:pre; line-height:130%"><span style="color:#a71d5d">import</span> matplotlib.pyplot <span style="color:#a71d5d">as</span> plt</div><div style="padding:0 6px; white-space:pre; line-height:130%"><span style="color:#a71d5d">import</span> seaborn <span style="color:#a71d5d">as</span> sns</div><div style="padding:0 6px; white-space:pre; line-height:130%"><span style="color:#a71d5d">import</span> pandas <span style="color:#a71d5d">as</span> pd </div><div style="padding:0 6px; white-space:pre; line-height:130%"> </div><div style="padding:0 6px; white-space:pre; line-height:130%">life <span style="color:#0086b3"></span><span style="color:#a71d5d">=</span> pd.read_csv(<span style="color:#63a35c">'life_expectancy.csv'</span>)</div><div style="padding:0 6px; white-space:pre; line-height:130%"> </div><div style="padding:0 6px; white-space:pre; line-height:130%">sns.set(rc<span style="color:#0086b3"></span><span style="color:#a71d5d">=</span>{<span style="color:#63a35c">'figure.figsize'</span>:(<span style="color:#0099cc">12</span>,<span style="color:#0099cc">10</span>)})</div><div style="padding:0 6px; white-space:pre; line-height:130%">correlation_matrix <span style="color:#0086b3"></span><span style="color:#a71d5d">=</span> life.corr().round(<span style="color:#0099cc">2</span>)</div><div style="padding:0 6px; white-space:pre; line-height:130%">sns.heatmap(data<span style="color:#0086b3"></span><span style="color:#a71d5d">=</span>correlation_matrix, annot<span style="color:#0086b3"></span><span style="color:#a71d5d">=</span><span style="color:#066de2">True</span>)</div><div style="padding:0 6px; white-space:pre; line-height:130%">plt.show()</div></div><div style="text-align:right;margin-top:-13px;margin-right:5px;font-size:9px;font-style:italic"><a href="http://colorscripter.com/info#e" target="_blank" style="color:#e5e5e5text-decoration:none">Colored by Color Scripter</a></div></td><td style="vertical-align:bottom;padding:0 2px 4px 0"><a href="http://colorscripter.com/info#e" target="_blank" style="text-decoration:none;color:white"><span style="font-size:9px;word-break:normal;background-color:#e5e5e5;color:white;border-radius:10px;padding:1px">cs</span></a></td></tr></table></div>
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