Atividades Semana 11 #10
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| for col in Columns: | ||
| if df[col].dtype == 'object': | ||
| df[col] = df[col].str.replace(',', '', regex=False) | ||
| df[col] = pd.to_numeric(df[col], errors='coerce') |
Collaborator
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tenho dúvidas:
- Ao tentar converter todos os tipos que são object para float você vai encontrar muitos que estão no formato correto
- Porque está usando to_numeric ao invés de astype?
- fora da condição você também decide converter para número. O que eu posso esperar? um float ou um int?
| df[col] = pd.to_numeric(df[col], errors='coerce') | ||
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| #Substitui por zero as linhas que tem o NaN | ||
| df = df.fillna(0) |
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mas vazio é diferente de valor 0, certo?
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