Completed Pandas1

Problem1_2DList.py

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+import pandas as pd
+
+# Two-dimensional list
+data = [['Geek1', 26, 'Scientist'],
+        ['Geek2', 31, 'Researcher'],
+        ['Geek3', 24, 'Engineer']]
+
+# Column names
+columns = ['Name', 'Age', 'Occupation']
+
+# Creating DataFrame using pd.DataFrame.from_dict()
+df = pd.DataFrame.from_dict(dict(zip(columns, zip(*data))))
+
+# Displaying the DataFrame
+print(df)

Problem2_BigCountry.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)]
+    return pd.DataFrame(df[['name','population','area']])

Problem3_Recyclable.py

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

Problem4_CustomerNoOrder.py

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+import pandas as pd
+
+#Soln 1: Using Merge
+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['id_y'].isnull()]
+    print(df[['name']])
+    return pd.DataFrame(df[['name']]).rename(columns={'name':'Customers'})
+
+#Soln 2: Using isin()
+    df=customers[~customers['id'].isin(orders['customerId'])]
+    return pd.DataFrame(df[['name']]).rename(columns={'name':'Customers'})