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How to deserialize complex json string to python object? [duplicate] - python

This question already has answers here:
Deserialize a json string to an object in python
(12 answers)
Closed 8 years ago.
I need to convert json string to python object. for example,
{
"person":{
"name":"aa",
"age":"12",
"address":{
"city":"cc",
"road":"kk"
}
}
}
there are two python class Person and Address used to generate python object. but I don't know how to map it.

You can easily convert the JSON string to a native Python dictionary with json.loads:
import json
d = json.loads(s)
It is not clear what arguments your Person and Address take, but if they take keyword arguments matching the dictionary content it could be as simple as:
d['address'] = Address(**d['address'])
p = Person(**d)
Where ** unpacks the dictionary into keyword arguments.

You can do this in a couple ways. One way is the simplejson literal translation. I would say the cleanest way of creating an extensible method is creating a class with that same structure.

Related

This question already has answers here:
How can I parse (read) and use JSON?
(5 answers)
Closed last year.
I want to convert these strings to a list. in python
from
42["pause",{"all":false,"media_only":false,"media_exclude":false}]
(type : string)
to["pause",{"all":false,"media_only":false,"media_exclude":false}]
(type : list (in string and json))
There is a way to parse the string directly, but since the types of incoming data are various, I was looking for a function that can be converted directly, but I couldn't find it. How can I do that?

Can you try the following:
import json
text = '''42["pause",{"all":false,"media_only":false,"media_exclude":false}]'''
text = text[text.find('['):]
result = json.loads(text)
print(result)
Output:
['pause', {'all': False, 'media_only': False, 'media_exclude': False}]

This question already has answers here:
Convert regular Python string to raw string
(12 answers)
Closed 1 year ago.
I wrote a function in Python that takes a file path as an argument. Ideally, I would like to 'concatenate' an r at the beginning to escape the characters, and turn it into r"C:\User\name\location".
I am having trouble finding any solutions- are there any modules to help with this?

You do not require any modifications to the function at all.
def f(path):
...
...
f(r"C:\User\name\location")
The "r" you referred to would be used to form the string that you pass to the function. A string is a string, it does not matter how you form it, but Python offers you different ways of doing so e.g.:
f("C:\\User\\name\\location")
By the time the function is passed the string, the string has already been formed. It now makes no difference how it was formed, only that it has all of the correct characters in all the correct places!

This question already has answers here:
Convert a String representation of a Dictionary to a dictionary
(11 answers)
Convert JSON string to dict using Python [duplicate]
(4 answers)
Closed 2 years ago.
I'm trying to convert a string into a nested list so that I can select elements based on the date. This is the string I'm trying to convert:
{"data":[[[""],["2,681,118"]],[[""],["529,106"]],[[""],["1402"]],[[""],["33"]],[["","Positivas","Total Px Ag"],["30/07/2020","216","811"],["31/07/2020","316","1,176"],["01/08/2020","383","1,461"],["02/08/2020","529","2,153"],["03/08/2020","635","2,582"],["04/08/2020","1060","3,859"],["05/08/2020","1798","6,143"],["06/08/2020","2597","8,947"],["07/08/2020","3504","12,063"],["08/08/2020","3940","13,713"],["09/08/2020","4869","16,480"],["10/08/2020","5489","18,279"],["11/08/2020","6557","21,555"],["12/08/2020","8,028","28,212"],["13/08/2020","9,190","32,216"],["14/08/2020","10,477","37,026"],["15/08/2020","11,672","41,619"],["16/08/2020","13483","47,399"],["17/08/2020","13,904","49,031"],["18/08/2020","14,886","52,631"],["19/08/2020","17,264","59,726"],["20/08/2020","18,889","65,451"],["21/08/2020","19,958","69,605"],["22/08/2020","21,827","76,373"],["23/08/2020","22,126","77,525"],["24/08/2020","23,096","81,031"],["25/08/2020","24,854","87,281"],["26/08/2020","26,256","93,182"],["27/08/2020","28,024","100,223"],["28/08/2020","29,657","107,145"],["29/08/2020","30,815","112,531"],["30/08/2020","31,527","115,888"],["31/08/2020","32,923","121,165"],["01/09/2020","34,714","129,405"],["02/09/2020","33499","127,851"],["03/09/2020","35944","138,124"],["04/09/2020","37,387","145,603"],["05/09/2020","38,945","153,238"],["06/09/2020","40,005","157,962"],["07/09/2020","41,770","166,722"],["08/09/2020","44,200","177,432"],["09/09/2020","45,646","185,245"],["10/09/2020","47,578","194,561"],["11/09/2020","49,331","203,685"],["12/09/2020","50,739","211,517"],["13/09/2020","51,393","216,127"],["14/09/2020","53,298","223,942"],["15/09/2020","52,289","219,189"],["16/09/2020","53,852","228,420"],["17/09/2020","59,212","254,698"],["18/09/2020","61,373","266,762"],["19/09/2020","63,192","276,724"],["20/09/2020","63,730","281,095"],["21/09/2020","65,454","288,294"],["22/09/2020","67,645","300,123"],["23/09/2020","70,510","313,522"],["24/09/2020","72,931","326,878"],["25/09/2020","74,790","338,618"],["26/09/2020","76,636","350,286"],["27/09/2020","78,231","359,259"],["28/09/2020","79,437","365,650"],["29/09/2020","81,885","378,445"],["30/09/2020","83,536","390,591"],["01/10/2020","86,581","405,469"],["02/10/2020","88,769","419,606"],["03/10/2020","91,497","435,562"],["04/10/2020","92,084","440,129"],["05/10/2020","94,756","452,541"],["06/10/2020","97,219","466,283"],["07/10/2020","99,131","478,478"],["08/10/2020","102,944","497,369"],["09/10/2020","105,924","514,140"],["10/10/2020","108,272","529,318"],["11/10/2020","109,143","534,885"],["12/10/2020","110,292","541,041"],["13/10/2020","113,088","553,014"],["14/10/2020","115,871","568,193"],["15/10/2020","119,985","589,861"],["16/10/2020","122,887","607,628"],["17/10/2020","125,662","622,663"],["18/10/2020","126,524","628,207"],["19/10/2020","128,042","634,754"],["20/10/2020","132,948","659,212"],["21/10/2020","134,937","671,911"],["22/10/2020","139,006","692,615"],["23/10/2020","141,844","709,412"],["24/10/2020","143,776","723,858"],["25/10/2020","144,928","730,451"],["26/10/2020","147,171","741,252"],["27/10/2020","151,468","763,433"],["28/10/2020","154,747","782,588"],["29/10/2020","159302","808,677"],["30/10/2020","161,072","821,999"],["31/10/2020","165,523","846,676"],["01/11/2020","166,657","854,868"],["02/11/2020","167,767","860,221"],["03/11/2020","170,233","872,346"],["04/11/2020","173,729","889,779"],["05/11/2020","176,857","907,448"],["06/11/2020","179,743","934,226"],["07/11/2020","183,321","955,354"],["08/11/2020","184,537","962,916"],["09/11/2020","187,051","975,475"],["10/11/2020","191,016","997,206"],["11/11/2020","193,963","1,015,733"],["12/11/2020","197,760","1,037,854"],["13/11/2020","201,044","1,060,786"],["14/11/2020","203,525","1,078,140"],["15/11/2020","204356","1,083,983"],["16/11/2020","205,248","1,088,192"],["17/11/2020","207,495","1,101,771"],["18/11/2020","211,224","1,122,018"],["19/11/2020","214,894","1,144,216"],["20/11/2020","218,099","1,164,807"],["21/11/2020","221,435","1,193,479"],["22/11/2020","222,343","1,199,903"],["23/11/2020","224,953","1,213,335"],["24/11/2020","228,343","1,232,205"],["25/11/2020","232,075","1,255,370"],["26/11/2020","236,580","1,282,888"],["27/11/2020","238,742","1,301,977"],["28/11/2020","241,835","1,322,140"],["29/11/2020","243,964","1,333,756"],["30/11/2020","245,597","1,343,739"],["01/12/2020","248,976","1,364,088"],["02/12/2020","251,596","1,384,223"],["03/12/2020","255,977","1,409,778"],["04/12/2020","260,859","1,435,230"],["05/12/2020","264,292","1,456,665"],["06/12/2020","265,698","1,466,555"],["07/12/2020","268,132","1,480,322"],["08/12/2020","271,505","1,499,624"],["09/12/2020","273,014","1,508,962"],["10/12/2020","277,248","1,532,527"],["11/12/2020","280,562","1,553,248"],["12/12/2020","286,577","1,582,159"],["13/12/2020","288,254","1,591,666"],["14/12/2020","293,324","1,615,371"],["15/12/2020","299,386","1,647,621"],["16/12/2020","304,702","1,677,361"],["17/12/2020","309,972","1,703,326"],["18/12/2020","316,089","1,731,954"],["19/12/2020","320,504","1,756,153"],["20/12/2020","322,565","1,768,605"],["21/12/2020","326,604","1,787,468"],["22/12/2020","332,330","1,814,071"],["23/12/2020","338,515","1,844,256"],["24/12/2020","344,311","1,873,102"],["25/12/2020","347,499","1,887,804"],["26/12/2020","349,152","1,896,298"],["27/12/2020","351,712","1,908,303"],["28/12/2020","354,848","1,923,669"],["29/12/2020","363,515","1,954,539"],["30/12/2020","371,194","1,987,732"],["31/12/2020","382,967","2,037,256"],["1/1/2021","387,062","2,053,280"],["2/1/2021","389,319","2,063,758"],["3/1/2021","391,354","2,071,114"],["4/1/2021","396,447","2,087,535"],["5/1/2021","405,866","2,119,794"],["6/1/2021","414,825","2,153,320"],["7/1/2021","423,586","2,188,409"],["8/1/2021","431,978","2,221,398"],["9/1/2021","438,920","2,249,492"],["10/1/2021","441,998","2,262,943"],["11/1/2021","445,210","2,272,778"],["12/1/2021","449,461","2,289,403"],["13/1/2021","454,567","2,310,220"],["14/1/2021","466,857","2,357,299"],["15/1/2021","478,666","2,398,159"],["16/1/2021","485577","2,429,571"],["17/1/2021","487,652","2,440,201"],["18/1/2021","491,243","2,456,218"],["19/1/2021","495,130","2,486,224"],["20/1/2021","501,678","2,517,951"],["21/1/2021","506,367","2,545,628"],["22/1/2021","512,457","2,578,198"],["23/1/2021","516,896","2,604,423"],["24/1/2021","518,529","2,617,046"],["25/1/2021","521,152","2,630,948"],["26/1/2021","524,884","2,653,596"],["27/1/2021","529,106","2,681,118"],["28/1/2021","","0"],["29/1/2021","","0"],["30/1/2021","","0"],["31/1/2021","","0"],["1/2/2021","","0"],["2/2/2021","","0"],["3/2/2021","","0"],["4/2/2021","","0"],["5/2/2021","","0"],["6/2/2021","","0"],["7/2/2021","","0"]]],"fileName":"titulos_antigenos","sheetNames":["total","positivas","ips","departamentos","Histórico"],"version":"57","refreshed":1611777255000}
I've tried using the split() method but it doesn't work. Can anyone help? Thanks

That's literally valid JSON. This works:
import json
my_string = '{"data":[[[""],["2,681,118"]], ...}'
nested_dict = json.loads(my_string)

This question already has answers here:
Loading and parsing a JSON file with multiple JSON objects
(5 answers)
Closed 3 years ago.
I want to parse a file that contains multiple JSON objects that are not enclosed in an array and are separated only by a line break. The file has the following schema:
{"id":1,"firstName":"John","lastName":"Doe"}
{"id":2,"firstName":"Bob","lastName":"Smith"}
As far as I know, the standard approach using json.load() doesn't work here, because the objects are not enclosed in an array. So is there an elegant way to parse such a file in Python without modifying it?

If every json object is on its own line, you should be able to do something like
with open('/path/to/file') as data:
objects = [json.loads(line) for line in data]

This question already has answers here:
Convert a String representation of a Dictionary to a dictionary
(11 answers)
Closed 6 years ago.
I want to convert the following string into dictionary without using eval() function in Python 3.5.
d="{'Age': 7, 'Name': 'Manni'}";
Can anybody tell me the good way than using the eval() function?
What I really want is a function which can directly convert a dictionary to a string.

literal_eval, a somewhat safer version of eval (will only evaluate literals ie strings, lists etc):
from ast import literal_eval
python_dict = literal_eval("{'a': 1}")
json.loads but it would require your string to use double quotes:
import json
python_dict = json.loads('{"a": 1}')