Semana 11, pandas #16
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| # 2 - Indentifique as colunas que contêm números, como 'Spotify Streams', 'YouTube Views', etc., e converta essas colunas para o tipo numérico se estiverem em outro formato. (Use replace() e astype()) | ||
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| colunas = ['Track', 'Album Name', 'Artist', 'Release Date', 'ISRC','All Time Rank', 'Track Score', 'Spotify Streams','Spotify Playlist Count', 'Spotify Playlist Reach','Spotify Popularity', 'YouTube Views', 'YouTube Likes', 'TikTok Posts','TikTok Likes', 'TikTok Views', 'YouTube Playlist Reach','Apple Music Playlist Count', 'AirPlay Spins', 'SiriusXM Spins','Deezer Playlist Count', 'Deezer Playlist Reach','Amazon Playlist Count', 'Pandora Streams', 'Pandora Track Stations','Soundcloud Streams', 'Shazam Counts', 'TIDAL Popularity','Explicit Track'] |
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Se essas são todas as colunas , por que não utilizar o df.columns()?
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| for col in colunas: | ||
| if df_musicas[col].dtypes == 'object': | ||
| df_musicas[col] = df_musicas[col].str.replace(',' , '').astype(float, errors='ignore') |
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cuidado ao utilizar você precisou utilizar o erros=ignore porque esta tentando converter colunas do tipo object que de fato são object
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| # 4 - 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_musicas ['Streaming Popularity'] = df_musicas[['Spotify Popularity', 'YouTube Views', 'TikTok Likes', 'Shazam Counts']].median(axis=1) |
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| df_musicas ['Streaming Popularity'] = df_musicas[['Spotify Popularity', 'YouTube Views', 'TikTok Likes', 'Shazam Counts']].median(axis=1) | |
| df_musicas ['Streaming Popularity'] = df_musicas[['Spotify Popularity', 'YouTube Views', 'TikTok Likes', 'Shazam Counts']].mean(axis=1) |
median() mede a mediana, no caso o que você precisa é a média 😄
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Exercício de ETL com pandas, utilizando uma lista dos artistas mais ouvidos do SPOTIFY!