相关疑难解决方法(0)

我正在阅读Python食谱,目前我正在研究发电机.我发现很难理解我的头脑.

因为我来自Java背景,是否有Java等价物？这本书讲的是"制片人/消费者",但是当我听到我想到线程时.

什么是发电机,为什么要使用它？显然没有引用任何书籍(除非你能直接从书中找到一个体面的,简单的答案).也许有例子,如果你感觉很慷慨!

我想将一个字节数组转换为JSON格式,这是我的源代码:

my_bytes_value = b'[{\'Date\': \'2016-05-21T21:35:40Z\', \'CreationDate\': \'2012-05-05\', \'LogoType\': \'png\', \'Ref\': 164611595, \'Classe\': [\'Email addresses\', \'Passwords\'],\'Link\':\'http://some_link.com\'}]'

这是我想要的结果:

[{
"Date": "2016-05-21T21:35:40Z",
"CreationDate": "2012-05-05",
"LogoType": "png",
"Ref": 164611595,
"Classes": [
  "Email addresses",
  "Passwords"
],
"Link": "http://some_link.com"}]

谢谢你的帮助

编辑:

首先,我将字节转换为字符串:

my_new_string_value = my_bytes_value.decode("utf-8")

但是当我尝试加载到JSON时:my_json = json.loads(my_new_string_value) 我收到此错误:json.decoder.JSONDecodeError:期望值:第1行第174列(char 173)

如果下面是我的嵌套字典,我想通过递归方式解析并打印所有值以及嵌套键的完整路径.

my_dict = {'attr':{'types':{'tag':{'name':'Tom', 'gender':'male'},'category':'employee'}}}

预期产量:

Key structure : my_dict["attr"]["types"]["tag"]["name"]<br>
value : "Tom"<br>
Key structure : my_dict["attr"]["types"]["tag"]["gender"]<br>
value : "male"<br>
Key structure : my_dict["attr"]["types"]["category"]<br>
value : "employee"<br>

我写了一个递归函数,但运行到这个:

my_dict = {'attr':{'types':{'tag':{'name':'Tom','gender':'male'},'category':'employee'}}}

def dict_path(path,my_dict):
    for k,v in my_dict.iteritems():
        if isinstance(v,dict):
            path=path+"_"+k
            dict_path(path,v)
        else:
            path=path+"_"+k
            print path,"=>",v

    return
dict_path("",my_dict)

输出:

_attr_types_category => employee
_attr_types_category_tag_gender => male
_attr_types_category_tag_gender_name => Tom

在上面:对于男性,关键结构不应该包含"类别"如何保留正确的关键结构？

我知道如何在知道键值的情况下解析 JSON，但现在我想从不是我的 JSON 中获取键值，所以我可以知道键名，例如我有这个 JSON

[
  {
    "id": 1,
    "name": "Leanne Graham",
    "username": "Bret",
    "email": "Sincere@april.biz",
    "address": {
      "street": "Kulas Light",
      "suite": "Apt. 556",
      "city": "Gwenborough",
      "zipcode": "92998-3874",
      "geo": {
        "lat": "-37.3159",
        "lng": "81.1496"
      }
    },
    "phone": "1-770-736-8031 x56442",
    "website": "hildegard.org",
    "company": {
      "name": "Romaguera-Crona",
      "catchPhrase": "Multi-layered client-server neural-net",
      "bs": "harness real-time e-markets"
    }
  },
  {
    "id": 2,
    "name": "Ervin Howell",
    "username": "Antonette",
    "email": "Shanna@melissa.tv",
    "address": {
      "street": "Victor Plains",
      "suite": "Suite 879",
      "city": "Wisokyburgh",
      "zipcode": "90566-7771",
      "geo": {
        "lat": …