From 254310e7437217456ec4db6d3d276f2d11dfd630 Mon Sep 17 00:00:00 2001
From: Nidhi Chauhan <61177315+ni-13@users.noreply.github.com>
Date: Wed, 5 Mar 2025 12:45:16 -0500
Subject: [PATCH] Completed_S30_Pandas1

---
 S30_Pandas_01.py | 53 ++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 53 insertions(+)
 create mode 100644 S30_Pandas_01.py

diff --git a/S30_Pandas_01.py b/S30_Pandas_01.py
new file mode 100644
index 0000000..df3acc4
--- /dev/null
+++ b/S30_Pandas_01.py
@@ -0,0 +1,53 @@
+#Pandas_01
+_______________________________________________________________________________________________________________________________________________
+
+# 595. Big Countries_ Solution_Q1
+
+import pandas as pd
+
+def big_countries(world: pd.DataFrame) -> pd.DataFrame: 
+    df= world[(world['area']>=3000000)| (world['population']>= 25000000)]
+    df= df[['name','population', 'area']]
+    return df
+
+# Alternative1
+
+import pandas as pd
+
+def big_countries(world: pd.DataFrame) -> pd.DataFrame:
+    return world[(world["area"] >= 3000000) | (world["population"] >= 25000000)][["name", "population", "area"]]
+
+_______________________________________________________________________________________________________________________________________________
+
+# 1757. Recyclable and Low Fat Products_Solution_Q2
+
+import pandas as pd
+
+def find_products(products: pd.DataFrame) -> pd.DataFrame:
+    df = products[(products['low_fats']== 'Y') & (products['recyclable']== 'Y')]
+    return df[['product_id']]
+
+_______________________________________________________________________________________________________________________________________________
+
+# 183. Customers Who Never Order_Solution_Q3
+
+import pandas as pd
+
+def find_customers(customers: pd.DataFrame, orders: pd.DataFrame) -> pd.DataFrame:
+
+    df = customers.merge(orders, left_on='id', right_on='customerId', how='left')
+    df = df[df['customerId'].isna()]
+    df = df[['name']].rename(columns={'name': 'Customers'})
+
+# Alternative1
+
+import pandas as pd
+
+def find_customers(customers: pd.DataFrame, orders: pd.DataFrame) -> pd.DataFrame:
+
+    df= customers.merge(orders, left_on ='id', right_on='customerId', how='left')
+    df=df[df['customerId'].isna()]
+    return df[['name']].rename(columns= {'name': 'Customers'})
+
+_______________________________________________________________________________________________________________________________________________
+