exercicio

exercicios/para-casa/ana-beatriz.py

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+import pandas as pd
+
+df = pd.read_csv("../../material/mais_ouvidas_2024.csv")
+
+#print(df.head())#Traz as 10 primeiras linhas do arquivo
+#print(df.columns)
+#df_valores_nulos = df.isnull() #identifica valores nulos
+#print(df_valores_nulos.sum())
+#print(df.duplicated())
+
+df.fillna(0, inplace=True)
+df_valores_nulos_apos = df.isnull()
+#print(df_valores_nulos_apos.sum())
+
+#print(df.dtypes)
+
+nome_colunas = df.columns
+
+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')
+
+
+#print(df.dtypes)
+
+df['Release Date'] = pd.to_datetime(df['Release Date'])
+#print(df.dtypes)
+#print(df.head())
+
+df['Streaming Popularity'] = (df['Spotify Popularity'] + df['YouTube Views'] + df['TikTok Likes'] + df['Shazam Counts']) / 4
+#print(df['Streaming Popularity'])
+#print(df.columns)
+
+df['Total Streams'] = (df['Spotify Streams'] + df['YouTube Views'] + df['TikTok Views'] + df['Pandora Streams'] + df['Soundcloud Streams'])
+#print(df['Total Streams'])
+#print(df.columns)
+
+filtered_df = df[(df['Spotify Popularity'] > 80) & (df['Total Streams'] > 1000000 )]
+#print(filtered_df.head())
+#print(filtered_df['Spotify Popularity'].head())
+
+filtered_df.to_json('faixas_filtradas.json')