Python Pandas Tutorial 2: Dataframe Basics

///Python Pandas Tutorial 2: Dataframe Basics

Python Pandas Tutorial 2: Dataframe Basics

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This pandas tutorial covers basics on dataframe. DataFrame is a main object of pandas. It is used to represent tabular data (with rows and columns). This tutorial will go over,
1) What is dataframe?
2) Create dataframe from csv file and python dictionary
3) Dealing with rows and columns
4) Operations: mean, max, std, describe
5) Conditional selection
6) set_index function and usefulness of it

Code:

To download csv and code for all tutorials: go to click on a green button to clone or download the entire repository and then go to relevant folder to get access to that specific file.

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By |2019-09-20T22:56:19+00:00September 20th, 2019|Python Video Tutorials|21 Comments

21 Comments

  1. codebasics September 20, 2019 at 10:56 pm - Reply

    Machine learning tutorials with exercises are available at:

    https://www.youtube.com/watch?v=gmvvaobm7eQ&list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw

  2. Reeta Pandey September 20, 2019 at 10:56 pm - Reply

    not able to access .csv files in spyder pls help

  3. Shubham Jha September 20, 2019 at 10:56 pm - Reply

    pls keep the mic closer,voice is low…

  4. David W. September 20, 2019 at 10:56 pm - Reply

    @10:10 doing operations wiith a dataframe

  5. Kanav Gupta September 20, 2019 at 10:56 pm - Reply

    Thank you sooo much!

  6. Shalini Pandurangan September 20, 2019 at 10:56 pm - Reply

    why are you using git bash instead of the terminal. I just want to know. sorry if my question is wrong.

  7. Suyash Purwar September 20, 2019 at 10:56 pm - Reply

    Loving these series

  8. Greg Seemann September 20, 2019 at 10:56 pm - Reply

    Nice video, thank you for going through all this!

  9. Nikita Sinha September 20, 2019 at 10:56 pm - Reply

    Thank you so much sir 🙏😇

  10. Faisal MOhammed September 20, 2019 at 10:56 pm - Reply

    Good Evening
    Awesome
    Excellent
    Amazing

  11. Kevin Galbraith September 20, 2019 at 10:56 pm - Reply

    Very well done. Easy to follow and explained simply. Thanks.

  12. Suyash Shrivastava September 20, 2019 at 10:56 pm - Reply

    You are amazing!

  13. Hearing Library September 20, 2019 at 10:56 pm - Reply

    Set index not working it shows method not subscriptable

    How to solve it??

  14. irfan ahmed September 20, 2019 at 10:56 pm - Reply

    please help me getting how to load a file from desktop or folder please help me getting mad please help me tried alot but no use

  15. srikanth vattukuti September 20, 2019 at 10:56 pm - Reply

    what is this error
    C:ProgramDataAnaconda3libsite-packagesipykernel_launcher.py:11: UserWarning: Boolean Series key will be reindexed to match DataFrame index.

    # This is added back by InteractiveShellApp.init_path()

  16. srikanth vattukuti September 20, 2019 at 10:56 pm - Reply

    df[(df["severity"]=="critical")]
    df[df["entryCode"]!="TCH: Temperature region changed"]

    how to merge those 2 and get output

  17. Skk Kks September 20, 2019 at 10:56 pm - Reply

    What a nice introduction to use Jupitor using DF,Excellent Sir.Learn something valuable…looking more and more.Thanks

  18. Ananth S Rao September 20, 2019 at 10:56 pm - Reply

    Awesome Tutorial !
    It'd be great if somebody could help me out.
    How would u print a row by providing two or more constraints to column elements ?

  19. Shashiraju S September 20, 2019 at 10:56 pm - Reply

    You are simply awesome..

  20. Michael Vu September 20, 2019 at 10:56 pm - Reply

    42 dislike still use Excel to sort for ignorance level

  21. Shivarjun Roy September 20, 2019 at 10:56 pm - Reply

    Mean Standard deviation

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