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HOW TO PARSE NESTED JSON AND CONVERT TO DATAFRAME | STOCK EXAMPLE 3 DIFFERENT WAYS | PYTHON 

Mr Fugu Data Science
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This video covers how to 𝐩𝐚𝐫𝐬𝐞 𝐧𝐞𝐬𝐭𝐞𝐝 𝐣𝐬𝐨𝐧 stock data and 𝐜𝐨𝐧𝐯𝐞𝐫𝐭 𝐭𝐨 𝐝𝐚𝐭𝐚𝐟𝐫𝐚𝐦𝐞 using 𝐏𝐲𝐭𝐡𝐨𝐧. Turn on the 🔔 notification
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6 сен 2024

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Комментарии : 27   
@MrFuguDataScience
@MrFuguDataScience 3 года назад
Let me know if there's any material you would like to see. Here are a few videos to give you ideas. WHY YOU SUCK AT PARSING JSON WITH EXAMPLES EXPLAINED | PYTHON: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-BSVKTbr84Do.html HOW TO PARSE NESTED JSON GOOGLE TIMELINE FILE USING PYTHON: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-JBQhlNi70-Y.html PARSE DIFFERENT TYPES OF NESTED JSON USING PYTHON | DATA FRAME: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-LYh8ih2X5Oo.html HOW TO PARSE RAW NESTED JSON TO DATAFRAME | TWITTER API | PYTHON: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-SefyZfGY8DE.html PARSING EXTREMELY NESTED JSON: USING PYTHON | RECURSION: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-aBygOp17doQ.html CREATE NESTED (JSON) DICTIONARY: PYTHON, with pitfalls: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-zhwmmjq1Nqg.html CONVERT NESTED JSON TO DATA FRAME WITH PYTHON CREATE FUNCTION TO STORE NESTED, UN-NESTED DATA: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-FVECTpahzCQ.html
@filipeschaab9433
@filipeschaab9433 2 года назад
Thanks a lot! copyed the solution and it worked perfectly. Still have no idea why.
@MrFuguDataScience
@MrFuguDataScience 2 года назад
Hey, Filipe. Ask a question if you need some help. I can try my best to explain. I am glad the solution worked but, not understanding something can be frustrating.
@filipeschaab9433
@filipeschaab9433 2 года назад
@@MrFuguDataScience Thanks for that, I'm just watching your other videos about json and it's helping me a lot! Keep up with this awesome work!
@oscarmartinezbeltran
@oscarmartinezbeltran 3 года назад
Hi Mr Fugu, your channel is fantastic!! I love it. Thank you very much! keep it up!!!
@MrFuguDataScience
@MrFuguDataScience 3 года назад
Glad you enjoy it!
@vio-noob_6737
@vio-noob_6737 3 года назад
Your channel is great. I appreciate all you do
@MrFuguDataScience
@MrFuguDataScience 3 года назад
I appreciate that!
@msp99000
@msp99000 2 года назад
o = 'open'
@k00a7
@k00a7 3 года назад
Another great example. Please keep up the good work
@MrFuguDataScience
@MrFuguDataScience 3 года назад
Thanks! 😃
@bryanvela2646
@bryanvela2646 2 года назад
You helped me a lot. Thank you very much!
@yesserrebai1948
@yesserrebai1948 3 года назад
perfect !
@kkumar888
@kkumar888 3 года назад
Hi, I have seen you using hardcoded values to ease it, what if we have 1000's of files and we dont know what content is inside? All i need is the key value pair of all the objects in a JSON file. How we can narrow down it and get all the Key Value pairs without knowing any content of the file? Please help me with this.
@MrFuguDataScience
@MrFuguDataScience 3 года назад
you should find the type through some search via loop or function you create and pull out tuples or dictionaries if that is what you need and manipulate from there. You can just use if/else or try/except should help while you iterate
@kkumar888
@kkumar888 3 года назад
@@MrFuguDataScience how to load given number of JSON objects from a file using json.load in Python. Also, cannot go line by line. Is there a way to load directly a given number of objects? This will be a big help
@JetSettR
@JetSettR Год назад
"o" for "open"
@MrFuguDataScience
@MrFuguDataScience Год назад
O : open you are correct, then H: High, L : low, C : close, V : volume
@user-eg1ss7im6q
@user-eg1ss7im6q 2 года назад
please share json file , thanks
@MrFuguDataScience
@MrFuguDataScience 2 года назад
The code is in the description of video.
@user-eg1ss7im6q
@user-eg1ss7im6q 2 года назад
can you share tweets04.json?
@MrFuguDataScience
@MrFuguDataScience 2 года назад
@@user-eg1ss7im6q github.com/MrFuguDataScience/JSON then scroll down and you will see the file.
@user-eg1ss7im6q
@user-eg1ss7im6q 2 года назад
@@MrFuguDataSciencethanks for the swift response.
@kkumar888
@kkumar888 3 года назад
Also, Please slow down your explanation, its hard for beginners to understand. Thank You
@MrFuguDataScience
@MrFuguDataScience 3 года назад
thanks for feedback
@Helloworldcodex
@Helloworldcodex 11 месяцев назад
@@MrFuguDataScience Please don't slow down, your pace is perfect (definitely not hard for beginners to understand)
@MrFuguDataScience
@MrFuguDataScience 11 месяцев назад
@@Helloworldcodex , thank you for your feedback I appreciate it.