From df628524cf355146af8b37a9619a0a3990b24842 Mon Sep 17 00:00:00 2001
From: Dhruv Parashar <ajayp@mac.lan>
Date: Sun, 15 Jun 2025 12:46:53 -0400
Subject: [PATCH] Done Pandas10

---
 ...s and Directors who Cooperated At Least Three Times |  7 +++++++
 Daily Leads and Partners                               |  7 +++++++
 Group Sold Products by the Date                        | 10 ++++++++++
 3 files changed, 24 insertions(+)
 create mode 100644 Actors and Directors who Cooperated At Least Three Times
 create mode 100644 Daily Leads and Partners
 create mode 100644 Group Sold Products by the Date

diff --git a/Actors and Directors who Cooperated At Least Three Times b/Actors and Directors who Cooperated At Least Three Times
new file mode 100644
index 0000000..829d4ca
--- /dev/null
+++ b/Actors and Directors who Cooperated At Least Three Times	
@@ -0,0 +1,7 @@
+import pandas as pd
+
+def actors_and_directors(actor_director: pd.DataFrame) -> pd.DataFrame:
+    num_unique = actor_director.groupby(['actor_id', 'director_id']).count().reset_index()
+    num_unique = num_unique[num_unique['timestamp'] >= 3]
+    
+    return num_unique[['actor_id', 'director_id']]
\ No newline at end of file
diff --git a/Daily Leads and Partners b/Daily Leads and Partners
new file mode 100644
index 0000000..dc3839b
--- /dev/null
+++ b/Daily Leads and Partners	
@@ -0,0 +1,7 @@
+import pandas as pd
+
+def daily_leads_and_partners(daily_sales: pd.DataFrame) -> pd.DataFrame:
+    
+    num_unique = daily_sales.groupby(['date_id', 'make_name']).nunique().reset_index()
+
+    return num_unique[['date_id', 'make_name', 'lead_id', 'partner_id']].rename(columns = {'lead_id' : 'unique_leads', 'partner_id' : 'unique_partners'})
\ No newline at end of file
diff --git a/Group Sold Products by the Date b/Group Sold Products by the Date
new file mode 100644
index 0000000..b822e3e
--- /dev/null
+++ b/Group Sold Products by the Date	
@@ -0,0 +1,10 @@
+import pandas as pd
+
+def categorize_products(activities: pd.DataFrame) -> pd.DataFrame:
+    groups = activities.groupby(['sell_date'])
+
+    stats = groups.agg(num_sold=('product', 'nunique'), products=('product', lambda x: ','.join(sorted(set(x))))).reset_index()
+
+    stats.sort_values('sell_date', inplace= True)
+
+    return stats
\ No newline at end of file