Done Pandas10

ActorsAndDirectorsWhoCooperatedAtLeastThreeTimes.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']]
+

DailyLeadsAndPartners.py

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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
+

GroupSoldProductsByTheDate.py

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