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Informatics Practices

Give two identical DataFrames Sales16 and Sales17. But Sales17 has some values missing. Write code so that Sales17 fills its missing values from the corresponding entries of Sales16.

Python Pandas

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Answer

import pandas as pd
data_sales16 = {
    'Product': ['A', 'B', 'C', 'D'],
    'Sales': [100, 150, 120, 180]
}
Sales16 = pd.DataFrame(data_sales16)
data_sales17 = {
    'Product': ['A', 'B', 'C', 'D'],
    'Sales': [100, None, 120, None]
}
Sales17 = pd.DataFrame(data_sales17)
Sales17 = Sales16.fillna({'B': 150, 'D': 180})
print("Sales16:")
print(Sales16)
print("\nSales17 (after filling missing values):")
print(Sales17)

Output

Sales16:
  Product  Sales
0       A    100
1       B    150
2       C    120
3       D    180

Sales17 (after filling missing values):
  Product  Sales
0       A    100
1       B    150
2       C    120
3       D    180

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