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how to open json file using python [closed]

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JSONDecodeError: Expecting ':' delimiter: line 1 column 8388729 (char 8388728)
import json
with open('tweets.json') as jfile:
d = json.load(jfile)
i tried using this code.but it did not work.
this is the sample data
enter image description here

The error shows that your json data is not valid. There must be some syntax error in the json data. Specifically, it seems that there is a problem with the delimiter (':') at the specified line and column number.
You can use any JSON validator to find out the issue.
You can try this or
this with a pretty formatter

I have a text file which contains sets , how do i read them as sets when i load on python? [closed]

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My text file looks like this
{} /n {}/n
When I use readline, I get it as a list , like ['{}' , '{}]
how do I remove the string and read them as sets?

This code work for you.
with open('yourfile.txt','r') as file:
data = file.read().splitlines()
data = [set(a[1:-1].split(',')) for a in data]
print(data)
You can use eval also here, But using eval might be dangerous.
with open('yourfile.txt','r') as file:
data = file.read().splitlines()
data = [eval(a) for a in data]
print(data)

Python nested list from file [closed]

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Let's say I have the following .txt file:
"StringA1","StringA2","StringA3"
"StringB1","StringB2","StringB3"
"StringC1","StringC2","StringC3"
And I want a nested list in the format:
nestedList = [["StringA1","StringA2","StringA3"],["StringB1","StringB2","StringB2"],["StringC1","StringC2","StringC3"]]
so I can access StringB2 for example like this:
nestedList[1][1]
What would be the best approach? I do not have a tremendous amount of data, maybe 100 lines at max, so I don't need a database or something

You can this sample code:
with open('file.txt') as f:
nestedList = [line.split(',') for line in f.readlines()]
print(nestedList[1][1])

file = open('a.txt').read()
file
l=[]
res = file.split('\n')
for i in range(len(res)):
l.append(res[i].split(','))
print(l[1][1])
Assuming your file name as a.txt is having data in same format as you specified in question, i.e newline seperated so that we can add nested list, and data inside is ,(comma) seperated. Above code will give you the right output.

How to read values from a file and set dynamically into an array in Python? [closed]

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Im new to python and need to know how to achieve the below requirement
I have a file with values populated as lines separated
for eg.
ABC
DEF
GHI
I want to read these values from a file and need to set them in the below format in python, basically into a dictionary.
{"Keys":[{"common_key":"ABC"},{"common_key":"DEF"},{"common_key":"GHI"}]}
Dictionary should contain only one Key and its value is an array with set of jsons with a common key assigned with different values each which are read from the file.

This way works for me:
with open('filename.txt') as fin :
lines = [i.strip() for i in fin.readlines() if len(i) > 1]
common_dict = { 'Keys' : [ {'common_key' : i} for i in lines] }

The best way to do this would probably be a simple list comprehension. If you need to do any separation logic in the lines str.split() is your friend.
with open("filename.txt") as txtfile:
yourDesiredDict = {"Keys": [{"common_key": x} for x in txtfile.readlines()]}

Parsing txt using python sets data structure [closed]

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how can i parse this so that I can obtain how many unique urls there are regardless of the number behind it ? using python

You can open the file and get the lines as a string using:
with open("/path/to/file.txt") as file:
lines = list(file)
This will give you a list of all lines in the text file.
Now since you do not want duplicates, I think using set would be a good way. (Set does not contain duplicates)
answer=set()
for x in lines:
answer.add(x[x.find(" ")+1:x.rfind(":")])
This will iterate through all the lines and add the part after the space till and not including the : to the set, which will handle the case for duplicates. Now answer should contain all the unique urls
Tested for Python3.6

You can use regex to parse and extract uids from your file line per line.
import re
uids = set()
with open('...') as f:
for line in f:
m = re.match('$[a-z0-9]+', line)
if m:
uids.add(m.group(0))
print(len(uids))

import re
A, List = ("String_1 URL_1:10\nString_2 URL_2:20\nString_3 URL_1:30".replace(" ", ",")).split("\n"), []
for x in range(len(A)):
Result = re.search(",(.*):", A[x])
if Result.group(1) not in List:
List.append(Result.group(1))
print(len(List))
This should solve your problem.