April 2025
Intermediate to advanced
582 pages
13h 33m
Portuguese (Portugal, Brazil)
Content preview from Python para Análise de Dados, 3ª Edição
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Capítulo 6. Carregamento de dados, armazenamento e formatos de ficheiros
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Ler dados e torná-los acessíveis (frequentemente designado por carregamento de dados) é um primeiro passo necessário para utilizar a maioria das ferramentas deste livro. O termo "parsing " também é por vezes utilizado para descrever o carregamento de dados de texto e a sua interpretação como tabelas e diferentes tipos de dados. Vou concentrar-me na entrada e saída de dados utilizando pandas, embora existam inúmeras ferramentas noutras bibliotecas para ajudar a ler e escrever dados em vários formatos.
A entrada e a saída dividem-se normalmente em algumas categorias principais: leitura de ficheiros de texto e outros formatos mais eficientes no disco, carregamento de dados de bases de dados e interação com fontes de rede, como APIs da Web.
6.1 Ler e escrever dados em formato de texto
O pandas apresenta várias funções para ler dados tabulares como um objeto DataFrame. A Tabela 6-1 resume algumas delas; pandas.read_csv é uma das mais frequentemente utilizadas neste livro. Veremos os formatos de dados binários mais tarde na Secção 6.2, "Formatos de dados binários".
| Função | Descrição |
|---|---|
read_csv | Carrega dados delimitados de um ficheiro, URL ou objeto semelhante a um ficheiro; utiliza a vírgula como delimitador predefinido |
read_fwf |
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