python dict 数据

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1. dict 的常用方法

dict 是一个一个(key,vaule)的字符对，使用{}来定义的；
|  clear(...) |      D.clear() -> None.  Remove all items from D. |   |  copy(...) |      D.copy() -> a shallow copy of D |   |  get(...) |      D.get(k[,d]) -> D[k] if k in D, else d.  d defaults to None. |   |  has_key(...) |      D.has_key(k) -> True if D has a key k, else False |   |  items(...) |      D.items() -> list of D's (key, value) pairs, as 2-tuples |   |  iteritems(...) |      D.iteritems() -> an iterator over the (key, value) items of D |   |  iterkeys(...) |      D.iterkeys() -> an iterator over the keys of D |   |  itervalues(...) |      D.itervalues() -> an iterator over the values of D |   |  keys(...) |      D.keys() -> list of D's keys |   |  pop(...) |      D.pop(k[,d]) -> v, remove specified key and return the corresponding value |      If key is not found, d is returned if given, otherwise KeyError is raised |   |  popitem(...) |      D.popitem() -> (k, v), remove and return some (key, value) pair as a |      2-tuple; but raise KeyError if D is empty |   |  setdefault(...) |      D.setdefault(k[,d]) -> D.get(k,d), also set D[k]=d if k not in D |  update(...) |      D.update(E, **F) -> None.  Update D from E and F: for k in E: D[k] = E[k] |      (if E has keys else: for (k, v) in E: D[k] = v) then: for k in F: D[k] = F[k] |   |  values(...) |      D.values() -> list of D's values#其中 iteritems()  iterkeys() itervalues() 需要跟for 循环一起使用来打印 key value  items#!/usr/bin/pythondict = {"a":"shuming","b":"xiaowang","c":"xiaoming"}for k,v in dict.iteritems():        print "dict[%s] = %s" % (k,v)for k in dict.iterkeys():        print kfor v in dict.itervalues():        print vfor (k,v)in zip(dict.iterkeys(),dict.itervalues()):        print "dict[%s] = %s" % (k,v)[zengtai.csm@login1.cm4 python]$ python dict.py dict[a] = shumingdict[c] = xiaomingdict[b] = xiaowangacbshumingxiaomingxiaowangdict[a] = shumingdict[c] = xiaomingdict[b] = xiaowang#update 方式是来更新dict的key，valued1={"name":"cao","age":26,"sex":"man"}d2={"age":27,"weght":65}d1.update(d2)print d1{'age': 27, 'name': 'cao', 'weght': 65, 'sex': 'man'}  #age 在d1中有就修改valule，weight 在d1中没有，就新加入
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