Completed Pandas1

Problem1.py

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+import pandas as pd
+
+data = [["Name", "Age", "Role"],
+        ["Mayuri Subhash Mhatre", 28, "Marketing Business Analyst"],
+        ["John Doe", 35, "Vendor Performance Analyst"],
+        ["Jane Smith", 30, "Project Manager"]]
+
+df = pd.DataFrame(data[1:], columns=data[0])
+print(df)

Problem2.py

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+import pandas as pd
+
+def big_countries(world: pd.DataFrame) -> pd.DataFrame:
+    df = world[(world['area']>=3000000) | (world['population']>=25000000)]
+    rec = df[['name','population','area']]
+    return rec

Problem3.py

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+import pandas as pd
+
+def find_products(products: pd.DataFrame) -> pd.DataFrame:
+    result = products[(products.low_fats == 'Y') & (products.recyclable == 'Y')]
+    return result[['product_id']]

Problem4.py

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+import pandas as pd
+
+def find_customers(customers: pd.DataFrame, orders: pd.DataFrame) -> pd.DataFrame:
+    filter_customers = customers[~customers['id'].isin(orders['customerId'])]
+    result = filter_customers[['name']].rename(columns = {'name' : 'Customers'})
+    return result