Pandas10 Submitted

Problem1.py

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+import pandas as pd
+
+def categorize_products(activities: pd.DataFrame) -> pd.DataFrame:
+    activities = activities.groupby('sell_date').agg(
+        num_sold = ('product', 'nunique'),
+        products = ('product',lambda x: ','.join(sorted(set(x))))
+    ).reset_index()
+    return activities.sort_values(by = ['sell_date'])

Problem2.py

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+import pandas as pd
+
+def daily_leads_and_partners(daily_sales: pd.DataFrame) -> pd.DataFrame:
+    daily_sales_1 = daily_sales.groupby(['date_id','make_name'])[['lead_id','partner_id']].nunique().reset_index()
+    return daily_sales_1.rename(columns = {'lead_id':'unique_leads','partner_id':'unique_partners'})

Problem3.py

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+import pandas as pd
+
+def actors_and_directors(actor_director: pd.DataFrame) -> pd.DataFrame:
+    df = actor_director.groupby(['actor_id', 'director_id']).size().reset_index(name = 'count')
+    df = df[df['count']>=3]
+    return df[['actor_id','director_id']]