How To Count Data In A DataFrame - Pandas For Machine Learning 5

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  • เผยแพร่เมื่อ 12 พ.ย. 2024

ความคิดเห็น • 24

  • @Codemycom
    @Codemycom  2 ปีที่แล้ว

    ▶ Watch Entire Pandas Playlist ✅ Subscribe To My TH-cam Channel:
    bit.ly/3wDKct8 bit.ly/2IGzvOR
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  • @MaxPlank-ht2jr
    @MaxPlank-ht2jr 13 วันที่ผ่านมา +1

    Thank u . Love from nepal

  • @ProxyAddress
    @ProxyAddress 2 ปีที่แล้ว

    I cannot express how helpful your Django Wednesday playlist was for me. Myself and another dev were asked to create an application in 2 weeks that could handle a variety of functions. All of which were covered in your series. I am not even sure I will need your course material in the future, but I bought it anyway as a huge thank you for your wonderful content. Again, thank you!

    • @Codemycom
      @Codemycom  2 ปีที่แล้ว +3

      Glad I could help!

  • @collinslife7021
    @collinslife7021 2 ปีที่แล้ว +1

    I have learned quite a bit from you in your Django blog series thanks for your knowledge.

    • @Codemycom
      @Codemycom  2 ปีที่แล้ว +1

      Very welcome!

  • @iablokova
    @iablokova 8 หลายเดือนก่อน

    Thanks a lot! I like your videos, its short, funny! That's what I'm talking about!

    • @Codemycom
      @Codemycom  8 หลายเดือนก่อน

      Glad you liked it!

  • @IshaZaka
    @IshaZaka 11 หลายเดือนก่อน

    Your videos are very great, plz upload videos related to tensor flow and pytorch

    • @Codemycom
      @Codemycom  11 หลายเดือนก่อน

      I have an entire playlist on pytorch...won't ever be doing tensor flow because no one uses that anymore

  • @NPBPires
    @NPBPires 4 หลายเดือนก่อน

    Thank you! You Helped me a lot!!!
    I still have a quest : How can I count 2 specific columns? (For Exemple: How many dogs with each color for 3 specific Breed).
    Can someone help me?

  • @amirmohammadhamrang2462
    @amirmohammadhamrang2462 3 หลายเดือนก่อน

    i really like your tutorials and the way you teach
    i just want to mension that when i search to find the pandas tutorial in youtube i could not see yours and i can access it just in your play list
    im sure if you fix this problem more people can use it

    • @Codemycom
      @Codemycom  3 หลายเดือนก่อน

      I can't control what videos youtube displays

  • @siddharthasthana2195
    @siddharthasthana2195 7 หลายเดือนก่อน

    Hi, I am new here, but learning a lot from your videos. Would be very helpful if you could tell how to import this particular dataset from github.

    • @Codemycom
      @Codemycom  7 หลายเดือนก่อน

      github.com/flatplanet/Pandas-TH-cam-Playlist/blob/main/dog_data.csv

  • @frederic0chopin
    @frederic0chopin 3 หลายเดือนก่อน

    this is very fun

    • @Codemycom
      @Codemycom  3 หลายเดือนก่อน +1

      agreed!

  • @infinitespace1982
    @infinitespace1982 2 ปีที่แล้ว

    Hi! I was wondering if you could link the data that you are using in the comments. Thanks!

    • @Codemycom
      @Codemycom  2 ปีที่แล้ว

      Its on my github, link in the pinned comment with the rest of the code.

  • @Alphabet_-_
    @Alphabet_-_ 2 ปีที่แล้ว +1

    brin·dle
    a brownish or tawny color of animal fur, with streaks of other color.

    • @Codemycom
      @Codemycom  2 ปีที่แล้ว +1

      Ha, well there you go then!

  • @georgiyveter6391
    @georgiyveter6391 2 ปีที่แล้ว

    Hi, for example I have a table, which I've got by left outer join:
    person - vehicle
    dad - car
    dad - motorcycle
    dad - bicycle
    mom - car
    mom - bicycle
    son - None/NA/NaN/NaT
    How to group by person and count with condition (car and motorcycle)?
    When I use for example:
    df = df.groupby(['person'])['vehicle'].apply(lambda x: x[x == 'car'].count())
    But I can't use a list in condition lambda x: x[x in ['car']], pandas says:
    ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all()

  • @Mayank-jw9yy
    @Mayank-jw9yy 7 หลายเดือนก่อน

    great buddy my paid course has not teach me that much in depth......

    • @Codemycom
      @Codemycom  7 หลายเดือนก่อน

      Ha awesome