pandas 10 done

1050. Actors and Directors Who Cooperated At Least Three Times

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

1484. Group Sold Products By The Date

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

1693. Daily Leads and Partners

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