We Keep Coding

is there an opposite function for str() in python? [duplicate]

This question already has answers here:
Convert a String representation of a Dictionary to a dictionary
(11 answers)
Using python's eval() vs. ast.literal_eval()
(6 answers)
Closed 14 days ago.
str() turns data into strings but is it possible to undo this with a built in function?
exe:
str1 = '{"a": 1, "b": 2}'
is there a function that can turn this into a dictionary?
if not what can I do?
I tried:
dict1 = dict(str1)
but I only just found out that it's not the way to do it

Python - turn string of list of dictionaries to list of dictionaries [duplicate]

This question already has answers here:
How to convert string representation of list to a list
(19 answers)
Closed 8 months ago.
I have a string that looks like this:
'{"screen_name":"Brian","avatar":1},{"screen_name":"David","avatar":21},{"screen_name":"Teo","avatar":34}'
How can I make it a list of dictionaries?
I tried with json.loads, but it threw an error...

before trying json.loads, you have to make sure that is surrounded by square brackets.
You can achieve that by using format or fstrings, so you can do:
>>> import json
>>> json.loads(f"[{original}]")
[{"screen_name":"Brian","avatar":1},{"screen_name":"David","avatar":21},{"screen_name":"Teo","avatar":34}]

python string to list (in string and json) [duplicate]

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}]

How to convert a string to a nested list? [duplicate]

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)

Python print ascii character in string instead of value [duplicate]

This question already has answers here:
Decode HTML entities in Python string?
(6 answers)
Closed 3 years ago.
I have a string "hello[ World]" and I want to convert it to "hello[World]"
I tried something like this:
a.encode("utf-8").decode("ascii")
I got back same string as input.

Try this:
import html
html.unescape("LASIX [FUROSEMIDE]")
This produces:
'LASIX [FUROSEMIDE]'