Completed Pandas1

BigCountries.py

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+'''
+2 Problem 2 :Big Countries ( https://leetcode.com/problems/big-countries/ )
+'''
+
+import pandas as pd
+
+def big_countries(world: pd.DataFrame) -> pd.DataFrame:
+    world = world[(world['population']>=25000000) | (world['area']>=3000000)]
+    return world[['name', 'population', 'area']]

CustomerWhoNeverOrder.py

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+'''
+4 Problem 4 :Customer Who Never Order ( https://leetcode.com/problems/customers-who-never-order/ )
+'''
+
+import pandas as pd
+
+def find_customers(customers: pd.DataFrame, orders: pd.DataFrame) -> pd.DataFrame:
+    df = customers[~customers['id'].isin(orders['customerId'])]
+    return df[['name']].rename(columns={'name':'Customers'})

MakeAPandasDataFrameWithTwo-dimensionalList.py

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+'''Pandas1
+
+1 Problem 1 : Make a Pandas DataFrame with two-dimensional list ( https://www.geeksforgeeks.org/make-a-pandas-dataframe-with-two-dimensional-list-python/)
+'''
+
+import pandas as pd
+
+lst = [['Geek', 25], ['is', 30], 
+       ['for', 26], ['Geeksforgeeks', 22]] 
+
+df = pd.DataFrame(lst, columns =['Tag', 'number']) 
+
+print(df)

RecyclableAndLowFatProducts.py

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+'''
+3 Problem 3 :Recyclable and Low Fat Products ( https://leetcode.com/problems/recyclable-and-low-fat-products/ )
+'''
+
+import pandas as pd
+
+def find_products(products: pd.DataFrame) -> pd.DataFrame:
+    products = products[(products['low_fats'] == 'Y') & (products['recyclable'] == 'Y')]
+    return products[['product_id']]