From e2b47848fccf4141a2cf591e0f182d5aa8f0916a Mon Sep 17 00:00:00 2001
From: kiran160195 <66009503+kiran160195@users.noreply.github.com>
Date: Sun, 22 Jun 2025 10:41:36 -0500
Subject: [PATCH 1/3] Create problem1

---
 problem1 | 9 +++++++++
 1 file changed, 9 insertions(+)
 create mode 100644 problem1

diff --git a/problem1 b/problem1
new file mode 100644
index 0000000..46eaca4
--- /dev/null
+++ b/problem1
@@ -0,0 +1,9 @@
+import pandas as pd
+
+def categorize_products(activities: pd.DataFrame) -> pd.DataFrame:
+    activities = activities.groupby('sell_date')['product'].agg(
+        [('num_sold','nunique'),
+        ('products', lambda x: ','.join(sorted(x.unique())))
+        ]
+    ).reset_index()
+    return activities

From faeeb9add00c5a0c7ba4fb66c5339c5b155000dc Mon Sep 17 00:00:00 2001
From: kiran160195 <66009503+kiran160195@users.noreply.github.com>
Date: Sun, 22 Jun 2025 10:42:12 -0500
Subject: [PATCH 2/3] Create problem2

---
 problem2 | 9 +++++++++
 1 file changed, 9 insertions(+)
 create mode 100644 problem2

diff --git a/problem2 b/problem2
new file mode 100644
index 0000000..563d72f
--- /dev/null
+++ b/problem2
@@ -0,0 +1,9 @@
+import pandas as pd
+
+def daily_leads_and_partners(daily_sales: pd.DataFrame) -> pd.DataFrame:
+    result = daily_sales.groupby(['date_id', 'make_name']).agg(
+        unique_leads=('lead_id', 'nunique'),
+        unique_partners=('partner_id', 'nunique')
+    ).reset_index()
+
+    return result.sort_values(['date_id', 'make_name'])

From a18ac1381573803a4d5f9fa6c33ca1eb1aa8807e Mon Sep 17 00:00:00 2001
From: kiran160195 <66009503+kiran160195@users.noreply.github.com>
Date: Sun, 22 Jun 2025 10:42:44 -0500
Subject: [PATCH 3/3] Create problem3

---
 problem3 | 7 +++++++
 1 file changed, 7 insertions(+)
 create mode 100644 problem3

diff --git a/problem3 b/problem3
new file mode 100644
index 0000000..c65f9d4
--- /dev/null
+++ b/problem3
@@ -0,0 +1,7 @@
+import pandas as pd
+
+def actors_and_directors(actor_director: pd.DataFrame) -> pd.DataFrame:
+    coorporated = actor_director.groupby(['actor_id','director_id']).size().reset_index(name='count')
+    print(coorporated)
+    coorporated = coorporated[coorporated['count']>=3]
+    return coorporated[['actor_id', 'director_id']]