PYTHON3 functions to process JSON

To import the JSON module in Python3 and then use DIR (JSON) to see the functions provided by the JSON module, select a few common JSON processing functions to see the usage:

>>> Import JSON
>>> dir (JSON)
[' Jsondecodeerror ', ' jsondecoder ', ' jsonencoder ', ' __all__ ',
' __author__ ', ' __builtins__ ', ' __cached__ ', ' __doc__ ', ' __file__ ',
' __loader__ ', ' __name__ ', ' __package__ ', ' __path__ ', ' __spec__ ',
' __version__ ', ' _default_decoder ', ' _default_encoder ', ' decoder ',
' Dump ', ' dumps ', ' encoder ', ' load ', ' loads ', ' scanner '

Json.dumps

First define a list and then convert the output to see the results:

Import JSON

data = [{"A": "AAA", "B": "BBB", "C": [1,2,3, (4,5,6)]},33, ' Tantengvip ', True]
Data2 = json.dumps (data)

Print (DATA2)
Output results:

[{"C": [1, 2, 3, [4, 5, 6]], "a": "AAA", "B": "BBB"}, "Tantengvip", true]

In fact Python's list data structure is similar to the JSON data result, the conversion is largely unchanged, but true becomes true, and the 4,5,6 type is [4,5,6].

JSON	PYTHON
Object	Dict
Array	List
String	Unicode
Number (int)	int, long
Number (real)	Float
True	True
False	False
Null	None

This table shows the conversion differences between Python and JSON types.

Json.dump

This method uses relatively few, if direct dump (Json_data) will be an error, as follows:

data = [{"A": "AAA", "B": "BBB", "C": [1,2,3, (4,5,6)]},33, ' Tantengvip ', True]
Data2 = json.dump (data)

#TypeError: Dump () Missing 1 required positional argument: ' FP '
Error: Typeerror:dump () Missing 1 required positional argument: ' FP '

Json.dump and Json.dumps are very different, json.dump are used primarily for JSON file reading and writing, and Json.load functions. Json.dump (X,F), X is an object, F is a file object that can write a JSON string to a text file.

Import JSON

data = [{"A": "AAA", "B": "BBB", "C": [1,2,3, (4,5,6)]},33, ' Tantengvip ', True]
Data2 = json.dumps (data)

Print (DATA2)

f = open ('./tt.txt ', ' a ')
Json.dump (DATA2,F)

This generates a Tt.txt file that preserves the JSON-formatted data. Dumps also provides pritty print, formatted output.

Json.load Load JSON format file

f = open ('./tt.txt ', ' R ')
hehe = Json.load (f)

Print (hehe)
This reads the JSON data from the TXT file.

Json.lodas function

So what's the difference between the Json.loads function and json.load? As with dumps and dump, with S is the operation of the file.

Hehe2 = Json.loads (' ["AAA", {"name": "Pony"}] ")
Print (HEHE2)

Loads can directly pass JSON-formatted data as a parameter.

Look at an example of reading the weather

Import OS, io, sys, RE, time, Base64, JSON
Import WebBrowser, Urllib.request
def main ():
"Main function"
url = "Http://m.weather.com.cn/data/101010100.html"
Stdout = urllib.request.urlopen (URL)
Weatherinfo = Stdout.read (). Decode ('Utf-8')
#print (Weatherinfo)
Jsondata = Json.loads (weatherinfo)






     #Output JSON data
     szcity = jsondata ["Weatherinfo" ["City"]
      Print ("City:", szcity)
     sztemp = jsondata ["Weatherinfo"] ["Temp1"]
     Print ("Temperature:", sztemp)
     szWeather1 = jsondata ["Weatherinfo"] ["Weather1"]
     Print ("Weather conditions:", szWeather1)
     Szcityid = jsondata ["Weatherinfo" ["Cityid"]
      Print ("City Code:", Szcityid)
    
If __name__ = = '__main__':
     main ()