Atividade Pandas #13
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Atividade Pandas #13
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| # - Crie uma nova coluna chamada 'Streaming Popularity', que seja a média da popularidade nas plataformas 'Spotify Popularity', 'YouTube Views', 'TikTok Likes', e 'Shazam Counts'. | ||
| # (lembrem-se que só é possível calcular médias e fazer operações matemáticas com tipos númericos) | ||
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| df['Streaming Popularity'] = (df['Spotify Popularity'] + df['YouTube Views'] + df['TikTok Likes'] + df['Shazam Counts']) / 4 |
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sempre tente uma solução vá funcionar para o máximo de itens possíveis, por exemplo: não soubéssemos a quantidade de itens com os quais queremos calcular a média. Como calcularíamos? O uso do mean() pode facilitar nisso
| #print(df.columns) | ||
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| # - Crie uma coluna 'Total Streams', somando os valores de 'Spotify Streams', 'YouTube Views', 'TikTok Views', 'Pandora Streams', e 'Soundcloud Streams'. | ||
| df['Total Streams'] = (df['Spotify Streams'] + df['YouTube Views'] + df['TikTok Views'] + df['Pandora Streams'] + df['Soundcloud Streams']) |
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o mesmo vale aqui, se vc tivesse que somar o resultado de um numero incontáveis de colunas, como faria? O uso do sum() te ajudaria nesse problema
| filtradas.to_json("./faixas_filtradas.json", index= False) | ||
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| # - Garanta que o arquivo foi salvo corretamente | ||
| df = pd.read_json("../para_casa/mais_ouvidas_2024.json") |
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acho que quis dizer:
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| df = pd.read_json("../para_casa/mais_ouvidas_2024.json") | |
| df = pd.read_json("../faixas_filtradas.json") |
certo?
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Atividade Pandas S11