coding-mentor-agent/kb/python-course-kb-practical-python/wiki/exercises/2-5-list-of-dictionaries.md

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id	source_exercise_id	title	section	source_path	source_repo	source_commit	student_visible_solution	has_private_solution	skip
practical-python-2.5	2.5	List of Dictionaries	2.2 Containers	02_Working_with_data/02_Containers.md	https://github.com/dabeaz-course/practical-python	93dca856b41c61a0a0f85ae334116e4c125629ea	false	false	false

Exercise 2.5: List of Dictionaries

Source: Practical Python Programming, 02_Working_with_data/02_Containers.md.

Exercise 2.5: List of Dictionaries

Take the function you wrote in Exercise 2.4 and modify to represent each stock in the portfolio with a dictionary instead of a tuple. In this dictionary use the field names of "name", "shares", and "price" to represent the different columns in the input file.

Experiment with this new function in the same manner as you did in Exercise 2.4.

>>> portfolio = read_portfolio('Data/portfolio.csv')
>>> portfolio
[{'name': 'AA', 'shares': 100, 'price': 32.2}, {'name': 'IBM', 'shares': 50, 'price': 91.1},
    {'name': 'CAT', 'shares': 150, 'price': 83.44}, {'name': 'MSFT', 'shares': 200, 'price': 51.23},
    {'name': 'GE', 'shares': 95, 'price': 40.37}, {'name': 'MSFT', 'shares': 50, 'price': 65.1},
    {'name': 'IBM', 'shares': 100, 'price': 70.44}]
>>> portfolio[0]
{'name': 'AA', 'shares': 100, 'price': 32.2}
>>> portfolio[1]
{'name': 'IBM', 'shares': 50, 'price': 91.1}
>>> portfolio[1]['shares']
50
>>> total = 0.0
>>> for s in portfolio:
        total += s['shares']*s['price']

>>> print(total)
44671.15
>>>

Here, you will notice that the different fields for each entry are accessed by key names instead of numeric column numbers. This is often preferred because the resulting code is easier to read later.

Viewing large dictionaries and lists can be messy. To clean up the output for debugging, consider using the pprint function.

>>> from pprint import pprint
>>> pprint(portfolio)
[{'name': 'AA', 'price': 32.2, 'shares': 100},
    {'name': 'IBM', 'price': 91.1, 'shares': 50},
    {'name': 'CAT', 'price': 83.44, 'shares': 150},
    {'name': 'MSFT', 'price': 51.23, 'shares': 200},
    {'name': 'GE', 'price': 40.37, 'shares': 95},
    {'name': 'MSFT', 'price': 65.1, 'shares': 50},
    {'name': 'IBM', 'price': 70.44, 'shares': 100}]
>>>

关联来源

• summaries/02_Containers