Python Pandas Tutorial 2: Dataframe Basics
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- เผยแพร่เมื่อ 4 ก.ค. 2024
- 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
Topics that are covered in this Python Pandas Video:
0:00 Introduction
0:15 What is Dataframe?
2:02 Import pandas in jupyternotebook
3:34 Create dataframeusing python dictionary
5:15 Use head() method
5:52 Use tail() method
6:10 Use Indexing and slicing in dataframe
8:12 Insert new cell in current cell
8:39 What is the type of your dataframe?
10:01 Operations with your dataframe
10:34 Use max() method
11:02 Use mean() method
11:11 Use min() method
11:23 Use describe() method
12:12 Conditional select the data in your dataframe
14:55 Pandas operations list
15:41 Use set_index() method
18:12 Use reset_index() method
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Highly recommended to those who are searching for the perfect tutorial on Pandas! He literally reads a learners mind!
Literally, your pandas playlist is better than any other paid courses.
Thank you so much ❤
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What a legend, explains it so well. Exactly what I needed. Thanks
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Actually a great beginners tutorial
only half way through and I'm already excited about what I've gained from this! can't wait to try this when I get to the computer. thank you for such clear explanation!!
ME TOO I AM SO EXCITED
These are so great. I've been looking all over for the best introduction as a person converting from Excel, and yours is way better than others I've come across.
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I am watching your videos in 2x...and I am still comfortable in understanding also saving my time..
bharath bhimshetty take your time to learn from great teachers, try to fully understand what they are saying. Its not wasting time while learning cause you will inevitably waste your time on some other stupid things.
Alt Cunningham jup, you prob won’t learn much from trying to speedrun the video. Taking your time and actually trying these functions is way more usefull.
I'm also watching it in 2x. and later practicing 4x ....
And believe it's worth it.
Been going through your Python playlist and it's perfect. Absolutely great work on these videos.
Awesome tutorial, thank you for putting this together, i've been learning Pandas in my spare time but I had quite a few light bulb moments watching your videos.
Your tutorial is so good that I had to sign in to give you a thumbs up
Thank you so much, I've literally searched for an hour now how to draw charts with conditions. I finally found it here.
El video muy bien explicado. Paso a paso a fin de entender el proceso completamente bien. Por ahora no hay dudas. Espero que surgan pronto!
Muchas gracias! Me encantó!
Great tutorial ! Thank you so much for this explanation. Exactly what I was looking for.
I am going to watch the next one right away :)
Treat this comment as appreciation.
It's awesome to follow your videos and I am slowly getting a lot of hands-on in Python coding. I highly appreciate your efforts that people are getting educated with your videos.
One of the Best tutorial i have seen about dataframes .. Bundle of thanks
I just started learning Python for data analytics and this is a very good explanation on how we can use pandas. Thank you😀
In the starting I learned Java script and I also used Notepad++ but now learning python from you bro you are super cool your videos are very interesting hands off 🙏🙏
This is such a good tutorial. Simple and smooth without giving any complex explanation. Explaining by examples rather than the theory behind it. Thank you so much. Subscribed!!!
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try others like great learning, Mosh, and few other plonkers.
You are a great teacher. Thank you for helping me to start my data science journey.
You made me very comfortable to use pandas. Kudos to you
What a nice introduction to use Jupitor using DF,Excellent Sir.Learn something valuable...looking more and more.Thanks
No words to say! Awesome explanation.
thank you sir, you way of explanation is really amazing and it makes the concept simpler.
Thanks for explaining it with clarify, this is what I have been looking for
Thanks a lot for the video. Exactly what I was looking for. Keep making tutorials on data structure like this
can you please help me on this code I want to make filter on the data frame about what it's temperature is > 13 , and I am coding on Pycharm , so I write it like this print(data_frame['tempreature']>13)
@@ahmedhelal920 df["temprature"][df["temprature"]>13]
Awesome job. This is great tutorial for Pandas dataframe introduction. Thank you!
I am glad it was helpful
Really great work mate, keep doing what you are doing, cheers!
Very effective teaching of pandas here. Thank you for such a great resource
Sir you are great and you explained better than most of my faculty and online tutors thank you so much sir really helped a lot
I am enjoying this playlist very much. Also completed numpy, python as well. Your explanation style with real life data and examples is preety much fascinating and interesting and it motivates me to play with data which makes a good player in case of performing EDA. Thanks for your efforts for us sir
i found your videos so fascinating ,i had wached several videos before i got yours and there i understood nothing therefore thanks for an amazing tutorial
Very informative and understandable. Thank you for sharing your knowledge.
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Is there a command to show every variable in a column? For example if you had a large database with lots of different variables under 'Weather' would there be a command to show a list of them all and how many in each?
Wow thanks so much! do you do online tutoring or anything at all?
Ah okay. Thanks for your replies. Your videos are the best!!! :D
Amazing tutorial just love it. Thank you so much.
Learnt about using short cuts along with simple pandas code examples for dataframe. Thanks.
This was very helpful! Thank you so much!
you are doing better job explaining than sentdex . Awesome brother !!
the speed at which he speaks is perfect for us Indians :)
dude you are awesome. I dont leave comments but I learned soooo much. Saved my a** on my homework
Man, this was fantastic. Thank you, sir.
Very good! Congrats and keep up the good work!
Thanks for the clear and simple explanation.
really useful tutorial, I got all I needed. Thank you
Excellent - so well presented with great ecplanations. I have looked at a lot of Pandas tutorials and these are the best I have come across. Very clear explanations and you can tell the presenter has a very good understanding of the subject. Something many others don't have. Will be checking out some of his other videos. 👍
Its great that you don't cut video for errors
Sir your teaching methodology is awesome 👌
Awesome and easy to follow. Thank you.
First video that got straight to the point
👍👍
A natural teacher!
i have never seen such an excellent tutorial. explain in very simpler way with good ascent hats of to you
Thank you Sir for this awesome tutorial. I could not grasp any idea about pandas from other videos. I luckily found this video and I am gonna complete the series and try different datasets.
Glad it helped!
I have taken classes and I have the basics but still confused your made it sattle in my head. Thank youl
The best video on data frame basics. Thank you
Glad it was helpful!
it's so much better than coursera python course in data analysis
thank you
Just Amazing!!! Appreciate you efforts sir. Thank you very much.
I am glad it was helpful
what a lovely explanation and knowledge sharing
I was searching for over a week the whole internet, how to print rows, where the country was "Germany" ("Snow"). You explained this in a few seconds. If I could give you 100 Likes, I would do this. Thank you very MUCH
Great session of pandas, I learnt lot of about pandas DataFrame, Thank you sir for have a great session
Clean and clear...Thumps up!
This is amazing! Thank you!
clear cut explanation for beginners like me compared to paid courses. thanks sir
thank you for awesome presentation. thumbs up!
A great explanation and covered almost important things in one video almost is superb, thanks a lot sir
Thank you so much for this video. It has helped me a lot in understanding dataframes.
I am happy this was helpful to you.
Very well done. Easy to follow and explained simply. Thanks.
glad you liked it kevin
I really enjoyed you the way you explain. All success to you.
Explained well, Good job and thanks
Thanks for the tutorial. It helps a lot.
Thanks man.....you have made the learning very easy.
Thank you! Outstanding tutorial
your way of teaching was amazing and very easy to understand the concepts.. Thank you so much sir.. ❤️❤️😊
Prathish, I am glad 👍
Great job! Thanks for the time.
Excellent, thank you for your video, that is very helpful
Naught-Book, nicely explained
Really Nice Tutorial, Thank You sir
You are the best tutor ever, that helped me alot. Thank you
Glad it helped!
awesome tutorial, thank you
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Very simple explanation and easy to understand.. Thank you !!
See mine pls.
Loving these series
😊 glad u liked it
Really explained in a great way...love it❤️❤️
Thank you so much 😀
Nice video, thank you for going through all this!
Greg, thanks for leaving out a comment
Great video
Great Tutorial...I mean really Great Explaination
keep posting such high quality content man.....love u
Sure gaurav. thanks for the comment.
Excellent tutorial!
Thank you Soo much for this course. I can't express enough how much this course has helped me. This free course is far better than any other paid courses I've seen so far. Thank you so much. I'm in a little fix on the path for the data frame. I mean where you fixed the path. I think my path is correct but each time I run, I keep seeing syntax error. please I need your help.
Well explained
Highly recommended for basics
I am happy this was helpful to you.
Sir your explanation are very informative. People like me do not have coding background
who want to understand Dataframe this is the right channel to learn
Once again Thankyou verymuch for this kind vedios
Great, I am glad you liked it Senthil.
Thanks sir...the way you are explaining, it seems I will learn it very soon
Yes you will for sure. And it is because you have keen interest and you are ready to put an effort.
Awesome tutorial thanks!
Good tutorial, thank you!
Thanks a lot sir, u explained with very ease....
ur the best!! inspiring
Awesome tutorial thanks for sharing the knowledge.
Can we apply theses data frames in spark ?
Thanks codebasica, you are awesome. really helped me a lot
Nice tutorial, thanks.
thx 4 vid man !
How can we combine multiple rows with the same attribute (like rain) with their other values being suming up
Another great tutorial, thank you! Any idea why your rows returned have borders and mine don't? It's an irrelevant question, I know.
sent_index is widely missed in py tuto world, great vid 🎉