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

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  • Опубліковано 15 жов 2024
  • This video covers how to 𝐩𝐚𝐫𝐬𝐞 𝐧𝐞𝐬𝐭𝐞𝐝 𝐣𝐬𝐨𝐧 stock data and 𝐜𝐨𝐧𝐯𝐞𝐫𝐭 𝐭𝐨 𝐝𝐚𝐭𝐚𝐟𝐫𝐚𝐦𝐞 using 𝐏𝐲𝐭𝐡𝐨𝐧. Turn on the 🔔 notification
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КОМЕНТАРІ • 27

  • @MrFuguDataScience
    @MrFuguDataScience  3 роки тому +3

    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: ua-cam.com/video/BSVKTbr84Do/v-deo.html
    HOW TO PARSE NESTED JSON GOOGLE TIMELINE FILE USING PYTHON: ua-cam.com/video/JBQhlNi70-Y/v-deo.html
    PARSE DIFFERENT TYPES OF NESTED JSON USING PYTHON | DATA FRAME: ua-cam.com/video/LYh8ih2X5Oo/v-deo.html
    HOW TO PARSE RAW NESTED JSON TO DATAFRAME | TWITTER API | PYTHON: ua-cam.com/video/SefyZfGY8DE/v-deo.html
    PARSING EXTREMELY NESTED JSON: USING PYTHON | RECURSION: ua-cam.com/video/aBygOp17doQ/v-deo.html
    CREATE NESTED (JSON) DICTIONARY: PYTHON, with pitfalls: ua-cam.com/video/zhwmmjq1Nqg/v-deo.html
    CONVERT NESTED JSON TO DATA FRAME WITH PYTHON CREATE FUNCTION TO STORE NESTED, UN-NESTED DATA: ua-cam.com/video/FVECTpahzCQ/v-deo.html

  • @filipeschaab9433
    @filipeschaab9433 2 роки тому +1

    Thanks a lot! copyed the solution and it worked perfectly. Still have no idea why.

    • @MrFuguDataScience
      @MrFuguDataScience  2 роки тому +2

      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 роки тому +1

      @@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 роки тому +1

    Hi Mr Fugu, your channel is fantastic!! I love it. Thank you very much! keep it up!!!

  • @k00a7
    @k00a7 3 роки тому +1

    Another great example. Please keep up the good work

  • @bryanvela2646
    @bryanvela2646 2 роки тому +1

    You helped me a lot. Thank you very much!

  • @vio-noob_6737
    @vio-noob_6737 3 роки тому +1

    Your channel is great. I appreciate all you do

  • @kkumar888
    @kkumar888 3 роки тому +1

    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 роки тому +2

      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 роки тому

      @@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

  • @yesserrebai1948
    @yesserrebai1948 3 роки тому +1

    perfect !

  • @JetSettR
    @JetSettR Рік тому +1

    "o" for "open"

    • @MrFuguDataScience
      @MrFuguDataScience  Рік тому +1

      O : open you are correct,
      then H: High, L : low, C : close, V : volume

  • @msp99000
    @msp99000 2 роки тому +2

    o = 'open'

  • @user-eg1ss7im6q
    @user-eg1ss7im6q 2 роки тому +1

    please share json file , thanks

    • @MrFuguDataScience
      @MrFuguDataScience  2 роки тому +1

      The code is in the description of video.

    • @user-eg1ss7im6q
      @user-eg1ss7im6q 2 роки тому +1

      can you share tweets04.json?

    • @MrFuguDataScience
      @MrFuguDataScience  2 роки тому +1

      @@user-eg1ss7im6q github.com/MrFuguDataScience/JSON
      then scroll down and you will see the file.

    • @user-eg1ss7im6q
      @user-eg1ss7im6q 2 роки тому +1

      @@MrFuguDataSciencethanks for the swift response.

  • @kkumar888
    @kkumar888 3 роки тому +1

    Also, Please slow down your explanation, its hard for beginners to understand. Thank You

    • @MrFuguDataScience
      @MrFuguDataScience  3 роки тому +1

      thanks for feedback

    • @Helloworldcodex
      @Helloworldcodex Рік тому +1

      @@MrFuguDataScience Please don't slow down, your pace is perfect (definitely not hard for beginners to understand)

    • @MrFuguDataScience
      @MrFuguDataScience  Рік тому +1

      @@Helloworldcodex , thank you for your feedback I appreciate it.