exercicio #15
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exercicio #15
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| for coluna in nome_colunas: | ||
| if df[coluna].dtype == "object": | ||
| df[coluna] = df[coluna].str.replace(",", "") | ||
| df[coluna] = pd.to_numeric(df[coluna], errors='ignore') |
Collaborator
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foi necessário usar o errors=ignore porque está tentando fazer conversão para valores que são objects mesmo ( colunas com caracteres e não strings com números)
| #print(df.dtypes) | ||
| #print(df.head()) | ||
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| df['Streaming Popularity'] = (df['Spotify Popularity'] + df['YouTube Views'] + df['TikTok Likes'] + df['Shazam Counts']) / 4 |
Collaborator
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faça o uso do mean() para calcular a média entre colunas
| #print(df['Streaming Popularity']) | ||
| #print(df.columns) | ||
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| df['Total Streams'] = (df['Spotify Streams'] + df['YouTube Views'] + df['TikTok Views'] + df['Pandora Streams'] + df['Soundcloud Streams']) |
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faça o uso do sum() para calcular a soma de valores
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