Plotly Tutorial 2023
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- Опубліковано 8 чер 2024
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This video provides complete coverage of Plotly with many real world examples. Plotly allows you to make beautiful static as well as animated charts!
If you want a video that condenses the whole Plotly API and all that it can do into 1 video with a ton of examples, then this video is for you.
I cover most everything you'll learn by reading the API here. Next I'll cover SciPy, StatsModels, Scikit-learn, TensorFlow, PyTorch, Keras, Scrapy, Linear Algebra, Calculus and more. CLICK THE NOTIFICATION BELL
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Plotly GitHub Cheat Sheet : github.com/derekbanas/plotly-...
Install for Windows : • Install Anaconda Windows
Install for MacOS : • Install Anaconda MacOS
Probability in One Video : • Probability for Data S...
Statistics in One Video : • Statistics for Data Sc...
NumPy in One Video : • NumPy Tutorial : Numpy...
Pandas in One Video : • Pandas Tutorial : Pand...
Matplotlib in One Video : • Matplotlib Tutorial : ...
Seaborn in One Video : • Seaborn Tutorial : Sea...
#Python #DataScience #Ploty
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Here is a Table of Contents that will allow you to jump around in the video and learn what ever you are interested in.
TABLE OF CONTENTS
00:00 Intro
00:14 What is Plotly?
00:38 Installation
01:51 Imports
03:49 Basics
05:41 Line Plots
06:19 Built-in Datasets
07:41 Multiple Plots
09:04 Styling Plots
12:01 Style Grids
17:45 Query Data
26:07 Scatter Plots
32:43 Pie Charts
34:27 Colormaps
39:45 Histograms
44:28 Box Plots
52:30 Violin Plots
58:12 Density Heatmap
1:01:30 3D Scatter Plots
1:02:48 3D Line Plots
1:03:35 Scatter Matrix
1:04:21 Map Scatter Plot
1:06:38 Choropleth Maps
1:09:17 Polar Chart
1:11:50 Ternary Plot
1:13:24 Facets
1:18:17 Animated Plots
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00:00 Intro
00:14 What is Plotly?
00:38 Installation
01:51 Imports
03:49 Basics
05:41 Line Plots
06:19 Built-in Datasets
07:41 Multiple Plots
09:04 Styling Plots
12:01 Style Grids
17:45 Query Data
26:07 Scatter Plots
32:43 Pie Charts
34:27 Colormaps
39:45 Histograms
44:28 Box Plots
52:30 Violin Plots
58:12 Density Heatmap
1:01:30 3D Scatter Plots
1:02:48 3D Line Plots
1:03:35 Scatter Matrix
1:04:21 Map Scatter Plot
1:06:38 Choropleth Maps
1:09:17 Polar Chart
1:11:50 Ternary Plot
1:13:24 Facets
1:18:17 Animated Plots
1:53 You know Jupyter can install packages, right?
@@StEvUgnIn how to change x and y range ?
@@sibasankar3416 I don't understand what you ask. You have to be more specific. x and y can be whatever you want.
This channel is absolutely priceless
Thank you for the nice compliment :)
Hey Derek, just wanna say that you are extremely amazing and dedicated individual. Thank you for these tutorials, man. Really appreciate it.
Thank you for taking the time to write such a nice message :) I'm very lucky to be able to make these videos.
@@derekbanas smartest decision was subscribe to your channel years ago
Thank you, Derek, for the great tutorial. I learned more typing along with your explanations, and debugging my own errors. All of the visualizations work. Can't wait to apply this to my day job.
Dude, congratulations on pulling out such a fantastic tutorial!!! I am very happy to have found this video. Your pace, tempo, and way to explain this subject was great in my opinion.
Thank you for the nice compliment :) I'm happy you liked it
Another great tutorial, Derek. Thank you. I like how comprehensive your review is of all the different kinds of plots.
Super well structured, going through many types of graphs. Very useful!
1:03:30 you're not sitting in the basement talking to yourself. This video is one of the most interesting things I've seen in a long time
Awesome tutorial Derek, i learned alot. Thanks for doing this and making it available here.
Hi Derek. This is a stupendous tutorial! I've subscribed to your channel and look forward to more quality content from you.
well structured, Very useful! thank you !
Absolutely fantastic video; thanks for sharing your knowledge!
Thank you for this great video, it's always great to see most of the options a library contains!
There's so much thinks to learn! Thanks!
I loved the video tutorial. I knew the basics of plotly before this but feel far better versed now and am looking forward to applying these visualizations to my own projects. I'll try to take on a dendrogram next...
Awesome video. Thanks Derek
Derek, you are a boss! Thanks for the tutorial.
I've benefited from many "... in one video" videos of yours, thank you!
Have you considered a similar tutorial about Asymptote, the graphic language?
Can't thank you enough!! You just made my day.
Thank you!
Fantastic tutorial thanks
This was awesome. Thanks Derek
Thank you for sharing knowledge. This is amazing.
Hey thanks man. Was really helpful.
Watched the whole think and coded along. THANK YOU Derek. That is one slick library
Thank you for taking the time to tell me you liked it :)
Awesome tutorial for a matplotliber that never uses plotly! Thank you 😊
Derek, As always, outstanding! Thank you for sharing your knowledge.
Thank you very much :) I’m happy you enjoyed it
Thanks for the informative tutorial!
Do you know if it's possible to animate data in the form of a heatmap with simple syntax like you did with a scatter plot in the end?
Great, practical and useful video! Thank you.
Thank you very much :)
Thanks for this video, you helped me to undeerstand plotly better :)
Absolutely the most useful plotly tutorial out there. Thanks for putting this together!
Thank you for the very nice compliment :)
Thanks, Derek, for the great tutorial. What’s the best way to publish the plots as a dashboard? Also, can I add these plots to Tableau?
I can never get enough surprised from you!!!!
Thank you very much :)
Great tutorial love the animation very useful
Thanks for this awesome video!
Fantastic. Keep it up
This video is so helpful and priceless!
Thank you for all the time, research and hard work you put into making this happened!!
You just gained a subscriber from Nigeria!💙
Thank you for the nice compliment :)
thanks a lot sir
Thanks a lot Derek.You are Incredible!!
Thank you :) I’m very happy that I could help
Awesome!!! TQVM!!
Thank you :) I'm happy you enjoyed the video
So glad I found this video. Perfect introduction to plotly and just what it is capable of.
I'm very happy that I could help :)
Derek. It is just priceless! ❤️
Thank you :) I'm happy you liked it
I love your tutorial. Could you add advanced Plotly tutorial with interactive drop-downs options filtering dataframe while selecting and other advanced features?
Hi Derek, fabulous video. Thanks for this, I'm learning a lot about plotly with just this video.
Just wanted to let you know that your labels parameter shown at around 7:40 in the video actually does not change the labels. We are still seeing 'date' for the x axis and 'GOOG' for the y axis.
You have to refer to the axes by the names of the columns.
This works for the labels parameter:
labels={'date': 'Date', 'GOOG': 'Price'}
Derek just wants to tell you when I was in my college I used to watch your one video lecture to learn the basics of coding. I got a job but in my data science journey, I miss these type of good videos which cover everything .finally you have made videos of data visualization libraries and pandas. Thanks for your great work.
Thanks a LOT!!!
I'm very happy I could help :)
god bless you! thanks so much!
Thank you for the nice message :) I'm happy you found it useful
Thank you very much, this is a priceless share, I was looking forward to it long time.
Thank you :) I'm happy you enjoyed it
Thank you for this tutorial. Very useful.
Thank you :) I'm happy I could help
Thanks for making this, really informative!
Thank you :) Happy I could help
Thanks for the free and extremely amazing content!
It is my pleasure to help :)
Amazing video
Thankyou from the bottom of my heart
Thank you for taking the time to tell me I helped :)
That is great! Thank you!
I'm happy I could help :)
What a legend! Great tutorial Derek. Would love to see a part two incorporating dash. Appreciate you sharing all these amazing tutorials, you’re helping out a lot of people more than you know.
Thank you for taking the time to say that I helped :) I definitely plan on covering Dash very soon because it is an amazing tool!
@@derekbanas Hi Derick! awesome man thank you, this is very helpful! have you done one on dash as well? I would defo transfer some donation to you if you have!
I've never seen that 3d chart from the intro. that thing is sick!
It's very good
Great tutorial. Thank you!
Thank you :)
Great intro, thanks a lot. I am interested in the interactive layouting and exploration of graphs (labebled nodes connected by labeled edges). Can you recommend libraries/approaches for thsi task?
Awesome tutorial, looking forward to more of these :)
Thank you very much :) I'm happy I could help
when i copied exact import cell in colab , iplot is not displaying
Pure Gold!
Thank you very much 😁 I tried to do my best
what a great great tutorial and I am sold
thank you !!
Thank you :) I'm happy it helped
@20:35 Derek, what would I do to change the colors of that stacked plock. For instance green for Male, red for female.
Hey man, been a while since you uploaded, however I got a question: is there a way to do Polar Plots in 3D (i.e. cylindrical coords)? I need this for my thesis project ! Thanks.
The best video I´ve seen !!!
You got a new subscriber.
Thank you :) I have a ton of data science videos. Here are the ones similar to this :
NumPy in One Video : ua-cam.com/video/8Y0qQEh7dJg/v-deo.html
Pandas in One Video : ua-cam.com/video/PcvsOaixUh8/v-deo.html
Matplotlib in One Video : ua-cam.com/video/wB9C0Mz9gSo/v-deo.html
Seaborn in One Video : ua-cam.com/video/6GUZXDef2U0/v-deo.html
Plotly in One Video : ua-cam.com/video/GGL6U0k8WYA/v-deo.html
Time Series Analysis : ua-cam.com/video/PpnoNZYce_c/v-deo.html
Probability in One Video : ua-cam.com/video/sEte4hXEgJ8/v-deo.html
Statistics in One Video : ua-cam.com/video/tcusIOfI_GM/v-deo.html
Please make a master series of web scrapping With python
You are not alone in your basement talking to yourself... ;) This is a fantastic overview of Plotly - I'm looking forward to digging into some sample data sets to see what it's fully capable of.
Dude thanks a lot
Thanks a lot for this valuable stuff , hats off to your hardwork
I'm happy I could help :)
Awesome video tutorial. Can you do a video on Dash?
this is the best tutorial ever. Thanks a lot man, I really appreciate it.
Thank you :) I'm very happy that it helped
Fantastic!
Keep it up :-)
Thank you :) I continue in my time series tutorial
This is pretty awesome love it. Could be a full Udemy course. ☺️
Thank you :) Got too love free education
Thanks so much:)
I'm very happy that you enjoyed it :)
Hi man, thanks very much for this, its a great reference to see how things work. Great teacher.
Thank you very much :) I'm happy I could help
Awesome stuff!
Thank you very much :)
@@derekbanas Do you have a lesson on dropdown boxes? I have a data set and I can't use the normal programming way to make the graphs interactive.
Nice. It is finally here!
Excited to get started
I hope you find it useful :)
Awesome video
Thank you :) I tried to do my best
Hello Derek, is it possible to do a tutorial on click events? Trying to figure out how to display a datatable on the dashboard when the user clicks on a data point in a scatter point. So if user was looking at gapminder data, when user clicks on let's say an "Asia" data point in a scatter, then in the row below all the "Asia" related rows are shown.
Derek you are OP. 1.5hour super dense tutorial is basically OP, I learned MPL and SNS in a day from beginner to decent.
Thank you :) I'm happy the videos helped
very helpful! do you have a video to integrate this grapgs to django web page?
2:56 *starts sounding like a Robot* . Jokes apart, you're the BEST. Thank you so much for the video.
Thank you :) I feel like a robot some times
Hi, Your lectures are really useful to create dashboards using plotly dash in efficient way. Just have one questions ? How we can export these dashboards either in PDF or PPT using dash?
I think a Dash tutorial to go along with Plotly would be great :)
Really useful
Thank you :)
Any information on defining outliers in a scatter plot and making them a different color than the rest?
hey, Derek the explanation is really superb would you mind sharing the Jupyter notebook which you just explained?
Thank you very much :) I always include the link in my descriptions github.com/derekbanas/plotly-tutorial
I love it this thanks you
Thank you very much :) I'm happy I could help
Hi Derek, I am yet to finish your video, but I need clarification if I can see the data fixed on markers in place of seeing it on hovering on the same
How do we save the choropleth map as a .png? Can you direct me to any resources? Can't seem to find much on this topic.
Great video! Thanks!
You are not alone in the basement! )) Thanks a lot for the tutorial!
Just bought your Udemy course for me and my twin brother! I really appreciate your work! Will let you know when we are done.. it will take a while as it has sooo much content :D
Thank you so much :) I greatly appreciate it! Yes the only complaints I ever get is that the course is too long. I hope you and your brother enjoy it
Hi, I wanna ask what the use of chart_studio package is?
I have a question ..why the labels are not working as expected during the apple vs google comparison.. @8:59
really great tutorial. in one go and so much. at the beginning of the video you say the code (notebook) will be available. can you or anyone provide a link to github repo? thx a lot
Thanks for the very nice presentation. Please do me a favor to eliminate the error"name 'go' is not defined" while creating a pie chart.
When one should use
Fig.update_traces
And when to use
fig .update _layout
??
How to orient colorbar horizontally when plotting scatter plot.?
Hey Derek, you are not in your basement taking to yourself. Thank you for these tutorials, man.
Thank you for taking the time to tell me you enjoy the videos :) I appreciate it!
Great as always, can you do a video for quantum computing using OpenQasm?
Thank you very much :) I'll look into your request
Nice Video, many stuff, butt important thing is missing, where and how to deploy the map? How to show to public/how make it available via http and so deployment stuff.