Pandas10 Done

Actor_Directors.txt

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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='cnt')
+    result = df[df['cnt']>=3]
+    return result[['actor_id','director_id']]

Daily_Leads_Partners.txt

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

Group_Sold_Products_by_Date.txt

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