66 lines
1.6 KiB
Python
66 lines
1.6 KiB
Python
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# create a mapping of state to abbreviation
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states = {
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'Oregon': 'OR',
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'Florida': 'FL',
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'California': 'CA',
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'New York': 'NY',
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'Michigan': 'MI',
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'Texas': 'TX'
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}
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# create a basic set of states and some cities in them
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cities = {
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'CA': 'San Francisco',
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'MI': 'Detroit',
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'FL': 'Jacksonville',
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'Gyeonggi-do': 'Sungnam',
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'Chungcheongbuk-do': 'Cheongju'
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}
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# add some more cities
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cities['NY'] = 'New York'
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cities['OR'] = 'Portland'
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cities['TX'] = 'Houston'
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# print out some cities
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print('-' * 10)
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print("NY State has: ", cities['NY'])
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print("OR State has: ", cities['OR'])
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# print some states
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print('-' * 10)
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print("Michigan's abbreviation is: ", states['Michigan'])
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print("Florida's abbreviation is: ", states['Florida'])
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# do it by using the state then cities dict
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print('-' * 10)
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print("Michigan has: ", cities[states['Michigan']])
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print("Florida has: ", cities[states['Florida']])
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# print every state abbreviation
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print('-' * 10)
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for state, abbrev in list(states.items()):
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print(f"{state} is abbreviated {abbrev}")
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# print every city in state
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print('-' * 10)
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for abbrev, city in list(cities.items()):
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print(f"{abbrev} has the city {city}")
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# now do both at the same time
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print('-' * 10)
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for state, abbrev in list(states.items()):
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print(f"{state} state is abbreviated {abbrev}")
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print(f"and has city {cities[abbrev]}")
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print('-' * 10)
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# safely get a abbreviation by state that might not be there
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state = states.get('Texas')
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if not state:
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print("Sorry, no Texas.")
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# get a city with a default value
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city = cities.get('TX', 'Does Not Exist')
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print(f"The city for the state 'TX' is: {city}")
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