Completed Pandas1

Problem 1.py

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+# Make a Pandas DataFrame with two-dimensional list
+
+import pandas as pd
+
+def listToDataframe(twoD_list:list[[]]) -> pd.DataFrame:
+    cols=[]
+    for i in range(len(twoD_list[0])):
+        cols.append(f'cols_{i}')
+    df = pd.DataFrame(twoD_list, columns=cols)
+    print(df)
+    return df
+
+listToDataframe(twoD_list=[['Semester1', 25, 77], ['Semester2', 30, 67], ['Semester3', 26, 90], ['Semester4', 22, 88]])

Problem 2.py

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+# Big Countries
+
+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']]
+    print(df)
+    return df
+
+data = [['Afghanistan', 'Asia', 652230, 25500100, 20343000000], ['Albania', 'Europe', 28748, 2831741, 12960000000], ['Algeria', 'Africa', 2381741, 37100000, 188681000000], ['Andorra', 'Europe', 468, 78115, 3712000000], ['Angola', 'Africa', 1246700, 20609294, 100990000000]]
+world = pd.DataFrame(data, columns=['name', 'continent', 'area', 'population', 'gdp']).astype({'name':'object', 'continent':'object', 'area':'Int64', 'population':'Int64', 'gdp':'Int64'})
+big_countries(world)

Problem 3.py

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+# Recyclable and Low Fat Products
+
+import pandas as pd
+
+def find_products(products: pd.DataFrame) -> pd.DataFrame:
+    df = products[(products['low_fats'] == 'Y') & (products['recyclable'] == 'Y')]
+    df = df[['product_id']]
+    print(df)
+    return df
+
+data = [['0', 'Y', 'N'], ['1', 'Y', 'Y'], ['2', 'N', 'Y'], ['3', 'Y', 'Y'], ['4', 'N', 'N']]
+products = pd.DataFrame(data, columns=['product_id', 'low_fats', 'recyclable']).astype({'product_id':'int64', 'low_fats':'category', 'recyclable':'category'})
+find_products(products)

Problem 4.py

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+# Customer 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'])]
+    df = df[['name']].rename(columns = {'name':'Customers'})
+    print(df)
+    return df
+
+data = [[1, 'Joe'], [2, 'Henry'], [3, 'Sam'], [4, 'Max']]
+customers = pd.DataFrame(data, columns=['id', 'name']).astype({'id':'Int64', 'name':'object'})
+data = [[1, 3], [2, 1]]
+orders = pd.DataFrame(data, columns=['id', 'customerId']).astype({'id':'Int64', 'customerId':'Int64'})
+find_customers(customers,orders)