April 2025
Intermediate to advanced
582 pages
13h 33m
Portuguese (Portugal, Brazil)
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Capítulo 9. Plotagem e visualização
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Fazer visualizações informativas (às vezes chamadas de plots) é uma das tarefas mais importantes na análise de dados. Pode ser uma parte do processo exploratório - por exemplo, para ajudar a identificar valores discrepantes ou transformações de dados necessárias, ou como uma forma de gerar ideias para modelos. Para outros, a construção de uma visualização interactiva para a Web pode ser o objetivo final. O Python tem muitas bibliotecas adicionais para fazer visualizações estáticas ou dinâmicas, mas vou concentrar-me principalmente no matplotlib e nas bibliotecas que se baseiam nele.
O matplotlib é um pacote de plotagem de secretária concebido para criar gráficos e figuras adequados para publicação. O projeto foi iniciado por John Hunter em 2002 para permitir uma interface de plotagem semelhante à do MATLAB em Python. As comunidades matplotlib e IPython têm colaborado para simplificar a plotagem interactiva a partir da shell IPython (e agora, do caderno Jupyter). matplotlib suporta vários backends GUI em todos os sistemas operativos e pode exportar visualizações para todos os formatos gráficos vetoriais e raster comuns (PDF, SVG, JPG, PNG, BMP, GIF, etc.). Com a exceção de alguns diagramas, quase todos os gráficos deste livro foram produzidos utilizando a matplotlib.
Ao longo do tempo, o matplotlib deu origem a uma série de kits ...
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