From 2a9d9b6549011b8cd23ac473fe22249c30bb7e9b Mon Sep 17 00:00:00 2001
From: Naga Raja Paidimarri <36491820+nagaraja993@users.noreply.github.com>
Date: Sun, 10 Aug 2025 09:07:22 -0400
Subject: [PATCH] pandas 10 complete

---
 Problem1.py | 10 ++++++++++
 Problem2.py |  8 ++++++++
 Problem3.py |  5 +++++
 3 files changed, 23 insertions(+)
 create mode 100644 Problem1.py
 create mode 100644 Problem2.py
 create mode 100644 Problem3.py

diff --git a/Problem1.py b/Problem1.py
new file mode 100644
index 0000000..113fd4d
--- /dev/null
+++ b/Problem1.py
@@ -0,0 +1,10 @@
+import pandas as pd
+
+def categorize_products(activities: pd.DataFrame) -> pd.DataFrame:
+    # return activities.groupby('sell_date')['product']\
+    #                 .agg(['nunique', lambda x: ",".join(i for i in sorted(set(x)))]).reset_index()\
+    #                 .rename(columns = {'nunique': 'num_sold', '<lambda_0>': 'products'})
+
+    return activities.groupby('sell_date')\
+                    .agg(num_sold = ('product', 'nunique'),
+                         products = ('product', lambda x: ",".join(sorted(set(x))))).reset_index()
diff --git a/Problem2.py b/Problem2.py
new file mode 100644
index 0000000..dd0a082
--- /dev/null
+++ b/Problem2.py
@@ -0,0 +1,8 @@
+import pandas as pd
+
+def daily_leads_and_partners(daily_sales: pd.DataFrame) -> pd.DataFrame:
+    return daily_sales.groupby(['date_id', 'make_name'])\
+                    .agg(unique_leads   = ('lead_id', 'nunique'),
+                         unique_partners   = ('partner_id', 'nunique')).reset_index()
+    # return daily_sales.groupby(['date_id', 'make_name'])\
+    #                 .agg('pd.series.nunique').reset_index()
\ No newline at end of file
diff --git a/Problem3.py b/Problem3.py
new file mode 100644
index 0000000..9ac1044
--- /dev/null
+++ b/Problem3.py
@@ -0,0 +1,5 @@
+import pandas as pd
+
+def actors_and_directors(actor_director: pd.DataFrame) -> pd.DataFrame:
+    df = actor_director.groupby(['actor_id', 'director_id']).agg(coop = ('director_id', 'count')).reset_index()
+    return df[df['coop'] >= 3].drop(columns = ['coop'])
\ No newline at end of file