Python: Pandas Tutorial | Intro to DataFrames

///Python: Pandas Tutorial | Intro to DataFrames

Python: Pandas Tutorial | Intro to DataFrames

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Tutorial on the basics of Python’s data frames (spread sheet) library, Pandas in this tutorial. Intro to statistical data analysis and data science.

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By |2019-05-30T19:26:13+00:00May 30th, 2019|Python Video Tutorials|27 Comments

27 Comments

  1. Kiran Chapidi May 30, 2019 at 7:26 pm - Reply

    Hi Joe, For example 6, while sorting the records. I get the below error. I checked my code several times its, exactly the same as yours but I still get the below error. I dont know why. May be the syntax should be used differently in pycharm.

    # Example 6 sort records

    print(df.sort_values('record_high', ascending=False))

    Error:
    k = self._get_label_or_level_values(by, axis=axis)

    File "C:Usersgeneric.py",
    line 1706, in _get_label_or_level_values

    raise KeyError(key)

    KeyError: 'record_high'

  2. saad ali May 30, 2019 at 7:26 pm - Reply

    amazing tutorial i wish i could see more tutorials from western guys instead of indians .. these indians contaminated you tube with useless tutorial its very hard to find a good instructor keep up the good work

  3. Sanjay Reddy May 30, 2019 at 7:26 pm - Reply

    Awesome explanation, very helpful

  4. NIC FEL May 30, 2019 at 7:26 pm - Reply

    This is really good. I went to this after Taking a Coursera course. The review was helpful and the explanations more direct.

  5. Yasir Faiz Ahmed May 30, 2019 at 7:26 pm - Reply

    totally loved it!! thanks alot 🙂

  6. Panna Pan May 30, 2019 at 7:26 pm - Reply

    Thank you for the tutorial.I have a question:
    df.loc[:,["avg_low"]]=5

    df.loc[:,["avg_low"]]=np.array([5]*len(df))

    The outcomes are same. Why do we bother to us the np.array ?

  7. James Watt May 30, 2019 at 7:26 pm - Reply

    Thanks for posting. Very helpful!

  8. Swadhikar C May 30, 2019 at 7:26 pm - Reply

    Watching your video for the first time, and I'm a beginner to pandas. You've made it so simple for me to explore pandas. Thanks, Appreciate it!

  9. Nitin Kumar May 30, 2019 at 7:26 pm - Reply

    Thank you!

  10. Vipin Gautam May 30, 2019 at 7:26 pm - Reply

    Hi Joe,
    In the third example, how is it giving the Top 5 rows of data without entering 5 in the print (df.head())?

  11. Muhammad Umar May 30, 2019 at 7:26 pm - Reply

    Amazing tutorial!
    I started as a beginner and now I felt the need to put a comment to help other learners to follow this amazing and super easy tutorial. Thanks man (y)

  12. Kelly Soo May 30, 2019 at 7:26 pm - Reply

    Thank you so much Joe. Incredibly clear and with great examples!

  13. Adil Mohamed May 30, 2019 at 7:26 pm - Reply

    Broke it all down for me! Thank you 😀

  14. Rakesh Ashok May 30, 2019 at 7:26 pm - Reply

    Extremely useful for a beginner like me. I am getting one error with the 11th function iterrows(). if I give (index, row['month'], row['avg_high']) i'm getting an error. Running this in python 3.7.2.

  15. scounter scounter May 30, 2019 at 7:26 pm - Reply

    wow..i heard from this powerful "thing"…but now to see this.. awesome…definitely will use this from now ..thanks for your effort to demonstrate this so clear

  16. ATAICO DIALLO May 30, 2019 at 7:26 pm - Reply

    sorry I asking the terminal you open ?

  17. ATAICO DIALLO May 30, 2019 at 7:26 pm - Reply

    what sytem you use in this in Pythons ? panda or jupyther or spyder ? thank

  18. Abdrahman ELEIWA May 30, 2019 at 7:26 pm - Reply

    great tutorial in pandas…what is the editor txt did u use it posible i can use Jupiter notebook ??? thx a lot

  19. Kelsey Edwards May 30, 2019 at 7:26 pm - Reply

    This was super helpful thank you so much!!

  20. Ashvin Parameswaran May 30, 2019 at 7:26 pm - Reply

    Great tutorial. So much goodness packed in with no time wasted. Well done.

  21. Gouda Clark May 30, 2019 at 7:26 pm - Reply

    I almost didn't click this video because it was only 20 minutes and I'm about to begin a coding challenge using python/pandas for the first time. But this was super informative in a short amount of time. You can also listen to on 1.25 speed and easily follow along to shave a few minutes off.

  22. Viraj Attanayake May 30, 2019 at 7:26 pm - Reply

    Thank you

  23. G K May 30, 2019 at 7:26 pm - Reply

    hi
    I am looking g for a nice Python editor, such as the one you are using any help, I am very new to Python. Thanks!

    I got it, notepad++ Thanks!!

  24. Sanjoy Sinha May 30, 2019 at 7:26 pm - Reply

    What editor are you using? I like the code folding.

  25. Anton Mladenov May 30, 2019 at 7:26 pm - Reply

    Btw, this video was so nice! I did all exercises with pause&play and documented everything. Thank you, Joe!

  26. Anton Mladenov May 30, 2019 at 7:26 pm - Reply

    @16:10 on line 24, why do you use np.array([5] * len(df)) instead of just = 5 ?

  27. John Anderson Torres Mosquera May 30, 2019 at 7:26 pm - Reply

    Excellent explanation, thank you very much

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