Комментарии:
Really great demonstrations here and well chosen examples.
ОтветитьI don't like Seaborn, can't handle too much data on the pairplot
ОтветитьGood comparison but what do you mean by saying matplotlib is more professional than plotly? I don't agree on that one and I'm a little confused what you mean by that. Plotly is very professional and has great support and community.
Ответить👏👏👏👏👏👏
ОтветитьSo the conclusion is that big data uses M, otherwise it uses p, right?
ОтветитьJupyter notebook inside VS code is a best environment I think.
ОтветитьCool but why are the first 4 minutes a jupyter notebook and conda tutorial?
ОтветитьHELP
ОтветитьJupyter lab is much better than Jupiter notebook.
ОтветитьWonder if there is any package that manages the Date format of the X-Axis professionally like the way typical stock chart does.
ОтветитьMatplotlib is still the best for me
ОтветитьIt would be useful to have a guide on setting up Jupyter notebooks with different kernels. Python is easy to set up - other kernels have never worked for me.
ОтветитьThis looks almost the same as seaborn
Ответитьplotly is great, but for interactive media. this isn't as good when it comes to publishing static figures in journal articles/books, where seaborn just takes it to another level in terms of formatting and customizability.
Ответитьfrom my last hustles, it was not working on jupyerlab
ОтветитьThat's a really cool lib. Their makeup (blue, white lines) totally reminds me of seaborn
ОтветитьI already saw that very jupyter notebook.
Why don't you add a link on it?
Thanks for the video, very informative!
ОтветитьWho is this gapminder guy and why does he know so much about Europe?
ОтветитьWell done! You deserved my subscription!
ОтветитьMatplotlib is the only option when there's a lot of data to show. Plotly is often generating SVG charts, and it's very hard to render a very detailed chart composed out of SVG's only. Matplotlib creates raster images and unless you want it to be interactive, it's fine.
ОтветитьDumb question but why use or learn any code based platform for serious data visualisation when you can use industry standard dashboards like Tableau, honest question.
ОтветитьGosh, you spent so long waffling before saying anything about plotly.
ОтветитьI do not recommend using anaconda. Why?: It does not provide a stable programming environment, differ from system to system. What I instead recommend is using the built in venv from python, which gives you more control over your programming environment. It requieres a bit more understanding of the system you are working in and reading more the documents of python, than the plug and play solution from anaconda, but you will earn a proper working transportable environment and a bit more background knowledge.
ОтветитьAltair is worth looking at... super easy and powerful
Ответитьyes and no at the same time
ОтветитьI see you doing ci' inside notebooks and can relate so much.
ОтветитьFor sure far better
ОтветитьWow, I’ve been using matplotlib for so long and never knew how easy plottly is. Guess I’ll try it out!
Ответить👌👌👌
ОтветитьHello can you please do a video on Model training with ADNI 3D MRI dataset. i cant find anywhere. I am trying to train the .nii file but ADNI doesn't provide test dataset. Instead they provide train dataset and test csv. Please make a video on it. Please
ОтветитьWhatever that takes longer than 15 minutes to put it to work, ain't a "top visualization tool".
Tried for first time yesterday, failed miserably to even try the demos...
Will return someday, for the time being is in the rubi 🗑️... I mean bucket list 🙂👍
awesome
ОтветитьCurrently starting development on a visualisation program. I think I'm going for plotly for the interactivity.
ОтветитьWow, so much japanese here, it's simply mindboggling.
Ответитьhätte nie gedacht das du aus österreich kommst :) machst gute videos 👍
ОтветитьIs plotly the better matplotlib? Hell no
ОтветитьI'm using anaconda and often matplotlib, I know something about plotly and seaborn and I would, I would like to use them more. This video encourages me to do it.
Ответитьlove the new clickbait style thumbnail... worked on me lol!
ОтветитьYes please do a video on the anaconda environment and why would use conda instead of pip.
Also you are an excellent teacher thank you.
Great video! Thanks!
ОтветитьI'm trying use matplotlib in an ubuntu server machine.. is there any way that I can view the graphs in server machines?
ОтветитьHands on video, just what I need. Thanks man ;)
Ответитьaconda Tutorial would be a great idea
ОтветитьYes, it is.
ОтветитьFlorian, thanks for the contents! Every video is really interesting...
ОтветитьLike ur thumbnail
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