Python中字典有什么用
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1、字典的概念
在Python中，字典这种数据类型的英文叫做 “dict”，有的语言里它的名称是 “hash”。字典是编程中最常用的数据结构之一。它是用来做映射或者存储你需要的键值对，这样当你需要的时候，你可以通过key来获取它的值。同样，程序员不会使用一个像“字典”这样的术语，来称呼那些不能像一个写满词汇的真实字典正常使用的事物，所以我们只要把它当做真实世界中的字典来用就好。
2、字典与列表的区别
针对列表你可以做这样的事情：
>>> things = ['a', 'b', 'c', 'd']
>>> print things[1]
b >>> things[1] =
'
z'
>>> print things[1]
z >>> things
['a', 'z', 'c', 'd']
你可以使用数字作为列表的索引，也就是你可以通过数字找到列表中的元素。你现在应该了解列表的这些特性，而你也应了解，你也只能通过数字来获取列表中的元素。而 dict是让你可以通过任何东西找到元素，不只是数字。是的，字典可以将一个物件和另外一个东西关联，不管它们的类型是什么，我们来看看：
>>> stuff = {'name': 'Zed', 'age': 39, 'height': 6 * 12 + 2}
>>> print stuff['name']
Zed
>>> print stuff['age']
39
>>> print stuff['height']
74
>>> stuff['city'] = "San Francisco"
>>> print stuff['city']
San Francisco
3、字典的使用
除了通过数字以外，我们还可以用字符串来从字典中获取 stuff，我们还可以用字符串来往字典中添加元素。当然它支持的不只有字符串，我们还可以做这样的事情：
>>> stuff[1] = "Wow"
>>> stuff[2] = "Neato"
>>> print stuff[1]
Wow
>>> print stuff[2]
Neato
>>> stuff
{'city': 'San Francisco', 2: 'Neato', 'name': 'Zed', 1: 'Wow', 'age': 39, 'height': 74
}
这段代码中，使用了数字，当打印stuff的时候，不止有数字还有字符串作为字典的key。当然了，一个只能放东西进去的字典是没啥意思的，所以我们还要有删除的方法，也就是使用del这个关键字：
>>> del stuff['city']
>>> del stuff[1]
>>> del stuff[2]
>>> stuff
{'name': 'Zed', 'age': 36, 'height': 74}
4、实例练习
# create a mapping of state to abbreviation
states = {
'Oregon': 'OR',
'Florida': 'FL',
'California': 'CA',
'New York': 'NY',
'Michigan': 'MI'
}
# create a basic set of states and some cities in them
cities = {
'CA': 'San Francisco',
'MI': 'Detroit',
'FL': 'Jacksonville'
}
# add some more cities
cities['NY'] = 'New York'
cities['OR'] = 'Portland'
# print out some cities
print '-' * 10
print "NY State has: ", cities['NY']
print "OR State has: ", cities['OR']
# print some states
print '-' * 10
print "Michigan's abbreviation is: ", states['Michigan']
print "Florida's abbreviation is: ", states['Florida']
# do it by using the state then cities dict
print '-' * 10
print "Michigan has: ", cities[states['Michigan']]
print "Florida has: ", cities[states['Florida']]
# print every state abbreviation
print '-' * 10
for state, abbrev in states.items():
print "%s is abbreviated %s" % (state, abbrev)
# print every city in state
print '-' * 10
for abbrev, city in cities.items():
print "%s has the city %s" % (abbrev, city)
# now do both at the same time
print '-' * 10
for state, abbrev in states.items():
print "%s state is abbreviated %s and has city %s" % (
state, abbrev, cities[abbrev])
print '-' * 10
# safely get a abbreviation by state that might not be there
state = states.get('Texas')
if not state:
print "Sorry, no Texas."
# get a city with a default value
city = cities.get('TX', 'Does Not Exist')
print "The city for the state 'TX' is: %s" % city
你看到的结果：
$ python ex39.py
----------
NY State has: New York
OR State has: Portland
----------
Michigan's abbreviation is: MI
Florida's abbreviation is: FL
----------
Michigan has: Detroit
Florida has: Jacksonville
----------
California is abbreviated CA
Michigan is abbreviated MI
New York is abbreviated NY
Florida is abbreviated FL
Oregon is abbreviated OR
----------
FL has the city Jacksonville
CA has the city San Francisco
MI has the city Detroit
OR has the city Portland
NY has the city New York
----------
California state is abbreviated CA and has city San Francisco
Michigan state is abbreviated MI and has city Detroit
New York state is abbreviated NY and has city New York
Florida state is abbreviated FL and has city Jacksonville
Oregon state is abbreviated OR and has city Portland
----------
Sorry, no Texas.
The city for the state 'TX' is: Does Not Exist
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