April 2025
Intermediate to advanced
416 pages
8h 32m
Portuguese (Portugal, Brazil)
Content preview from Livro de receitas de aprendizagem automática com Python, 2ª edição
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Capítulo 3. Processamento de dados
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3.0 Introdução
Data wrangling é um termo amplo utilizado, muitas vezes informalmente, para descrever o processo de transformação de dados brutos num formato limpo e organizado, pronto a ser utilizado. Para nós, a organização de dados é apenas um passo no pré-processamento dos nossos dados, mas é um passo importante.
A estrutura de dados mais comum usada para "manipular" dados é o dataframe , que pode ser intuitivo e incrivelmente versátil. Os quadros de dados são tabulares, o que significa que se baseiam em linhas e colunas, como verias numa folha de cálculo. Aqui está um dataframe criado a partir de dados sobre os passageiros do Titanic:
# Load libraryimportpandasaspd# Create URLurl='https://raw.githubusercontent.com/chrisalbon/sim_data/master/titanic.csv'# Load data as a dataframedataframe=pd.read_csv(url)# Show first five rowsdataframe.head(5)
| Nome | PClasse | Idade | Sexo | Sobreviveste | Código de sexo | |
|---|---|---|---|---|---|---|
| 0 | Allen, Miss Elisabeth Walton | 1.o | 29.00 | mulher | 1 | 1 |
| 1 | Allison, Miss Helen Loraine | 1.o | 2.00 | mulher | 0 | 1 |
| 2 | Allison, Sr. Hudson Joshua Creighton | 1.o | 30.00 | macho | 0 | 0 |
| 3 | Allison, Sra. Hudson JC (Bessie Waldo Daniels) | 1.o | 25.00 | mulher | 0 | 1 |
| 4 | Allison, Mestre Hudson Trevor | 1.o | 0.92 | macho | 1 | 0 |
Há três coisas importantes a notar neste quadro de dados.
Em primeiro lugar, num quadro de dados, cada linha corresponde ...
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