The implementation of Python multidimensional and for the infinite traversal of nested dictionary data

Recently, I encountered the problem of ergodic operation on multidimensional dictionary type data in the sample exercise. There is no relevant information in the Google query. After all, I am a novice. When I start my own work, I find it is not as simple as I imagined. There are quite two twists and turns before I finally achieve the effect.

Instance data (multiple nesting) :

person = {"male":{"name":"Shawn"}, "female":{"name":"Betty","age":23},"children":{"name":{"first_name":" li ", "last_name":{"old":" Ming Ming ","now":" Ming "}},"age":4}}

Objective:

Traverse all nested dictionary type data in person, and display them in the form of key: value: first, analyze whether the data conforms to dictionary features; print key of the data and the corresponding value loop to check whether each child value of the data conforms to dictionary features; if it does, iterate; if not, return to the loop and continue to execute until the end

Specific code:

def is_dict(dict_a): # This method is deprecated, python A data type detection method is provided isinstance() 

 try: 

  dict_a.keys() 

 except Exception , data: 

  return False 

 return True 

 

def list_all_dict(dict_a): 

 if isinstance(dict_a,dict) : # use isinstance Detection data type  

  for x in range(len(dict_a)): 

   temp_key = dict_a.keys()[x] 

   temp_value = dict_a[temp_key] 

   print"%s : %s" %(temp_key,temp_value) 

   list_all_dict(temp_value) # Self - invocation to achieve infinite traversal  

Results:

Execute list_all_dict(person), the system responds:

male : {'name': 'Shawn'} 

name : Shawn 

children : {'age': 4, 'name': {'first_name': '\xc0\xee', 'last_name': {'now':'\xc3\xfa', 'old': '\xc3\xf7\xc3\xf7'}}} 

age : 4 

name : {'first_name': '\xc0\xee', 'last_name': {'now': '\xc3\xfa', 'old':'\xc3\xf7\xc3\xf7'}} 

first_name :  li  

last_name : {'now': '\xc3\xfa', 'old': '\xc3\xf7\xc3\xf7'} 

now :  Ming  

old :  Ming Ming  

female : {'age': 23, 'name': 'Betty'} 

age : 23 

name : Betty