Completed Pandas10

ActorsAndDirectorsWhoCooperatedAtLeastThreeTimes.py

@@ -0,0 +1,10 @@
+'''
+3 Problem 3 : Actors and Directors who Cooperated At Least Three Times (https://leetcode.com/problems/actors-and-directors-who-cooperated-at-least-three-times/)
+'''
+
+import pandas as pd
+
+def actors_and_directors(actor_director: pd.DataFrame) -> pd.DataFrame:
+    actor_director = actor_director.groupby(['actor_id', 'director_id'])['timestamp'].count().reset_index()
+    res = actor_director[actor_director['timestamp']>=3]
+    return res[['actor_id', 'director_id']]

DailyLeadsAndPartners.py

@@ -0,0 +1,12 @@
+'''
+2 Problem 2 : Daily Leads and Partners ( https://leetcode.com/problems/daily-leads-and-partners/ )
+'''
+
+import pandas as pd
+
+def daily_leads_and_partners(daily_sales: pd.DataFrame) -> pd.DataFrame:
+    daily_sales = daily_sales.groupby(['date_id', 'make_name']).agg(
+        unique_leads = ('lead_id', 'nunique'),
+        unique_partners = ('partner_id', 'nunique')
+    ).reset_index()
+    return daily_sales

GroupSoldProductsByTheDate.py

@@ -0,0 +1,13 @@
+'''
+Pandas10
+
+1 Problem 1 : Group Sold Products by the Date (https://leetcode.com/problems/group-sold-products-by-the-date/)
+'''
+
+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(x.unique())))).reset_index()
+    return pd.DataFrame(activities)