7 Python Data Visualization Libraries in 15 minutes

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In this video Rob, a Kaggle Grandmaster, quickly and humorously walks through each of the popular plotting and data visualization tools in python. These include bokeh, matplottlib, plotly, altir and seaborn. This video will give you an overview of each python package, what each does well and what they don't do well. Python is the #1 coding language for data science and has been growing over the years as an essential tool, especailly important for data visualization. Explained in a funny way every package is discussed in less than 15 minutes.
Timestamps:
00:00 Introduction
00:33 Matplotlib
02:46 Seaborn
05:10 Bokeh
07:50 Plotly Express
11:40 Plotnine
13:02 Altair
13:24 Pandas
14:09 Summary
Follow me on twitch for live coding streams: / medallionstallion_
Intro to Pandas video: • A Gentle Introduction ...
Exploritory Data Analysis Video: • Exploratory Data Analy...
Link to kaggle notebook used in the tutorial: www.kaggle.com/robikscube/all...
* RU-vid: / @robmulla
* Twitch: / medallionstallion_
* Twitter: / medalliondata
* Kaggle: www.kaggle.com/robikscube
#DataScience #Python #DataViz

Опубликовано:

5 июн 2024

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Комментарии : 106

@robmulla 2 года назад

Because youtube doesn't seem to be showing my chapters in the videos here are the timeline links: 00:00 Introduction 00:33 Matplotlib 02:46 Seaborn 05:10 Bokeh 07:50 Plotly Express 11:40 Plotnine 13:02 Altair 13:24 Pandas 14:09 Summary

@milindankur Год назад

I love to watch Rob Mulla! All these plots are so beautiful! Thanks for summarizing them. Respect🤟

@robmulla Год назад

Glad you liked it! Appreciate the compliment.

@brandonwarfield5611 Год назад

I don't know how you made this entertaining! I was chuckling all the way through the video.

@robmulla Год назад

Haha. Thanks Brandon. Glad you enjoyed it.

@gschnuuget Год назад

this is an amazing overview, thank you very much for this video! I especially like that you are presenting in dark mode 🙂

@robmulla Год назад

Glad you liked it! I appreciate the feedback.

@askthenickman 3 месяца назад

Love the energy. Thanks!

@cedric1731 Год назад

What also makes bokeh cool is it's ability to handle big data better than some alternatives

@robmulla Год назад

That’s a good note I didn’t realize!

@subbyspersonalvlog7143 Год назад

It was worth a lot in just one lovely video imparting so much of value as you present things vividly in a very attractive way. Given enough time, I enjoy watching all your videos, multiple times if need be.

@robmulla Год назад

Glad you enjoyed it! This video is a little more silly than my other ones

@user-iv9zu4oh8i 14 дней назад

Nice. I was surprised that you did not include LUX at this cool overview.

@BrianKamanzi Месяц назад

Great video, exactly what I was looking for and positive energy to boot, appreciated.

@kikfraben1 9 месяцев назад

Didn’t know that charts can be so much fun, awesome video!

@mdd6197 2 года назад

really helpful vid I mainly just plot in pandas like you said it saves you time lol but I did not know what I was missing out on with the interactive plots

@robmulla 2 года назад

Thanks so much for the feedback. Glad you learned something new about interactive plots. 🙌

@mschuer100 Год назад

Thank you Rob, another great video. Was never aware that PlotNine existed, will have to check it out. Also want to dig more into Ploty's scatter_map.....knew it existed but never used it...this gives me a reason to check it out. Keep the great videos coming please, they are very useful.

@robmulla Год назад

Glad you learned a few new things from this video. My hope was to show a lot of what's out there so you know it's there to use in the future.

@mschuer100 Год назад

@@robmulla and a great job you did. Thanks!

@RHHS1985 8 месяцев назад

Thanks a lot Rob ! Any suggestions to create Concept Maps, Mind Maps or Entity Relashionships diagrams, for Data Governance purposes ?

@carlosernestocustodiocaden777 11 месяцев назад

Excelente vídeo, es cosa de empezar a practicar, hasta encontrar lo mejor para el trabajo que hay que hacer.

@robmulla 11 месяцев назад

Muchas gracias!

@williamgriffin61 Год назад

great content! thanks you Rob!

@robmulla Год назад

Thanks for watching.

@TheSoonAnn Год назад

great way to introduce all the packages available , now i know the gg plot equivalent in python

@hfuhruhurr Год назад

Altair's (two syllables, btw) syntax makes the most sense to me. Took me forever to understand how to unleash the power, though.

@robmulla Год назад

I didn’t realize that. I haven’t used it much before. Why is it so powerful?

@nulencode7660 Год назад

@@robmulla For Altair, I would say the syntax follows the same logic than Seaborn, but the advantage is that you can make more beautiful and **interactive** plot that are easy to embed in a webpage.

@johnmachabee7261 Год назад

You earned my subscription, good sir!

@robmulla Год назад

Thanks for watching.

@kalif350 3 месяца назад

Excellent video. Thanks!

@robmulla 2 месяца назад

Glad you liked it!

@DANIEL-lt9br Год назад

Thanks for this video, i have been enjoyed a lot, i'm subscribed yet!

@robmulla Год назад

Really appreciate that!

@tariqaziz1795 Год назад

Thanks for knowlege and entertain. i hope to learn much more.

@robmulla Год назад

Glad you were both entertained and learned! That’s my goal.

@gerardbender197 2 года назад

Thank you That was so helpful

@robmulla 2 года назад

Glad it helped! Thanks so much for the comment.

@coopernik Год назад

That was a good video. I subscribed

@robmulla Год назад

Thanks!

@chuang6248 2 года назад

Plotly Express is awesome! that it what i need! thank you !

@robmulla 2 года назад

Glad you found what you were looking for!

@khanafridi8894 Год назад

Sir plz make an amazing series about visualization in python and some other important graph 😊

@RaptorT1V 26 дней назад

Вот это сразу лайк. Контент интересный и полезный. Для моего исследования в самый раз

@joshuaharkness2630 Год назад

Can you add a plotly visualization to PowerPoint? I have been able to do this using a PNG of the graph, but would love to keep it interactive.

@Grenouille3344 Год назад

Hi, I search to show a chart of data same as Nasdaq and it can update with new data live in real time. Can you tell me the best for that. I appreciate a lot.

@dimitriosdesmos4699 Год назад

Which is best for plotting live data from exchanges?

@robmulla Год назад

Depends. How live?

@samarumugam4833 9 месяцев назад

Thanks Bro. Good Infos....

@gabrielmoreno2554 2 года назад

Love your work. PX😍

@robmulla 2 года назад

Thanks Gabriel! Glad you enjoy it.

@martinnjeri6997 Год назад

so nobody is gonna say something about those violin plots?? they look just like..... never mind!! Niice video Maestro... Learning a lot from you!! Kudos ....

@robmulla Год назад

🙊🙈 Thanks for watching.

@atulkumarsonu7082 Год назад

Thanks. Would like a video on Panel.

@AdobadoFantastico Год назад

bokeh looks fun

@robmulla Год назад

It is!

@-steady-8215 8 месяцев назад

Did you ever make a video on dash then?

@soumyadrip 2 года назад

LMFAO did not know GMs are allowed to be that funny, JK , pog video editing skill. Had no idea that Python had many visualization libraries.

@robmulla 2 года назад

Glad you enjoyed it Somu! Trying to be a little less serious in this one.

@cappy2112 2 года назад

There are MANY more than he reviewed here though, close to 50 now

@soumyadrip 2 года назад

@@cappy2112 holy crap

@geekyprogrammer4831 2 года назад

@@robmulla Please continue to be make videos like this😊

@robmulla 2 года назад

@@geekyprogrammer4831 Thanks so much! Funny that this video has the least views of all that I made so I figured people didn't like the funny videos. Maybe I'll give it another try!

@pietraderdetective8953 10 месяцев назад

We can change Pandas plotting backend to Plotly if one need interactive chart

@petehall1900 Год назад

Why is chart studio the new plotly import syntax?

@robmulla Год назад

I'm not sure if I'm following your question. Thanks for watching.

@ajilaahad3508 3 месяца назад

Bokeh is not working when ssl integrated. Can anyone help

@TzviKD Год назад

Really helpful! I think the title of the video can be improved for greater reach :)

@robmulla Год назад

Thanks! I’m open to ideas for a new title. Any suggestions?

@TzviKD Год назад

@@robmulla Sure.. "Matplotlib vs Seaborn vs Bokeh vs Plotly vs Plotnine vs Altair vs Pandas in 15 minutes" "7 Python Data Visualization Libraries in 15 minutes" "Data Visualization in Python - Quick Libraries Overview" As you can see, my line of thought is that the main subject of the video - the libraries - is not in the title.. but should be, because its an informative video and not entertainment; even though you did make it entertaining ;)

@sanishkoshijacob2813 6 месяцев назад

I used vispy for plotting real time data.

@GlenCote 2 года назад

How about Panel?

@robmulla 2 года назад

I haven’t heard of panel. Should I check it out?

@jac.t.kitlim Год назад

My vote on panel and the holoviz family..

@Davidkiania Год назад

Part of Hvplot.

@zmd-code 6 месяцев назад

next time do this and check what happens with your colleagues: import pandas as plt import numpy as pd import matplotlib.pyplot as np

@dhnguyen68 10 месяцев назад

I have closed your video… Just kidding, very nice explanation with lively humor. Thanks

@bennguyen1313 6 месяцев назад

Do you have any suggestion for plotting 2d data real-time... with new samples coming in every 100ms (via can-bus)? I tried pyqtgraph, however with each new sample, the array took longer to display, and after just a couple minutes the lag was so bad that its not usable. Any suggestions on a tool that can keep up with an ever increasing data array? To minimize RAM, I was thinking of appending each new sample to a csv file, and then have maplotlib continuously reload the file. But maybe vaex is better at working with a dynamically increasing large data array ? Or maybe gnuplot, mayavi?

@robosergTV 6 месяцев назад

where is proplot?

@titan-0016 4 месяца назад

content is good but those to b quirky jokes are not

@philwebb59 Год назад

5:16 Ryu Nagase, product management director, consumer imaging group, Canon Corp, pronounces bokeh like okay, with a b on front. BOW-kay. Stress on the BOW. ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-Y0Brf2l8Ysc.html

@robmulla Год назад

Oh. I guess that’s the way it’s pronounced. Thanks for the feedback.

@stockmarketkaknowledge9507 2 месяца назад

Wheee i need to focus first as i beginner

@stuartberg8030 10 месяцев назад

I'll give a shout-out for my favorites: holoviews and hvplot.pandas, which are built on top of bokeh and matplotlib. They give you a high-level API that makes lots of standard plots quickly, but you're free to customize the plot yourself with the lower-level library (bokeh or matplotlib) if you need extra control.

@jonreznick5531 Год назад

Don't hate on pie charts, but yes they are bad wherever more than 6 categories are grouped and tallied.

@robmulla Год назад

Agree to disagree?

@jonreznick5531 Год назад

now i want to hear you view on this. pie charts have treated me real good--the customers want them.

@jaxim1668 11 месяцев назад

really a fan of pandas aren't you?🤣

@mikescarborough9196 Месяц назад

So violin plots should not be called twat plots…

@c0f2a 10 месяцев назад

import seaborn as sb

@glawtonmoore Месяц назад

Yellowbrick

@stockmarketkaknowledge9507 2 месяца назад

I am beginner a in python

@user-jj5om7tq9k 10 месяцев назад

No, I was born in 1991

@Zydres_Impaler Год назад

I was born in 2003😂😂

@VulcanOnWheels Год назад

1:24 Really...? I'm outta here.

@robmulla Год назад

You love it.

@NicolaBarbaro956 Год назад

cringe

@robmulla Год назад

Yep

@GarzonG6 2 месяца назад

Excellent content, stupid explanation

@gabrielperfumo1122 Год назад

You are super cool!! Great content. My ranking: EDA: matplotlib, seaborn and pandas. PRESENTATIONS, DASHBOARDS AND WEBAPPS: Dash-plotly

@robmulla Год назад

So glad you like the content. Share with a friend or two! I totally agree with the seperation between EDA and presentation/dashboard libraries. Great point.