HoloViews

HoloViews is an #OpenSource #Python library designed to make data analysis & visualization seamless & simple. #DataViz

[HoloViews @HoloViews]

We are pleased to announce the release of HoloViews 1.13.3! The 1.13 series added many exciting new features such as linked brushing, @rapidsai cuDF support, annotators, new elements, improved @plotlygraphs and @datashader integration & more. Check it out: https://t.co/53OolzjBF6

[Panel @Panel_org]

❤️‍🔥 hvPlot 0.12.1 is out. 👉 Check out the new gallery https://t.co/dA4D5W9Gfh.

#python #dataviz #datascience #analytics @HoloViews @HoloViz_org

[Panel @Panel_org]

📈 Our sister library hvPlot just released version 0.12.0.

👉 Check out the release blog post https://t.co/px4axhOU8O.

#python #dataviz #DataScience @HoloViz_org @HoloViews @datashader

[HoloViews @HoloViews]

The correct link to the blog post is:
https://t.co/2UbPH4UuAZ

[HoloViews @HoloViews]

⚡️ HoloViews 1.20 out now with major speed boost for large datasets! Plus...

📊 ImageStack: Visualize 3D datasets
🔍 Interactive pop-ups for data exploration
🧠 Subcoordinate-y, great for EEG analysis
📏 Precise measurement with scalebars

Blog ⬇️ https://t.co/27eKSxHM0X

1/🧵

[HoloViews @HoloViews]

📏 Scalebars:

- Automatic scale measurements
- From microscopic (µm) to astronomical (Em)
- Perfect for scientific visualization
- Context at any scale

5/🧵

[HoloViews @HoloViews]

🧠 Subcoordinate-y:

- Smart zoom for grouped data
- Built for EEG analysis
- Independent coordinate systems
- Ideal for multi-scale time series

4/🧵

[Marc Skov Madsen, PhD, CFA® @MarcSkovMadsen]

😍Can't stop watching

#BigData dimensionality reduction dashboard demoed at @europython

Developed using @Panel_org, @datashader , @HoloViews and @bokeh

#python #dataviz

[HoloViz @HoloViz_org]

Thank you to everyone who participated in the HoloViz user survey! For an overview of the results and what we are doing to address your concerns read this great writeup by Demetris Roumis: https://t.co/KU0GeqzLpK

[Douglas Hagey @douglashagey1]

You can make some really nice-looking interactive plots with @Panel_org and @HoloViews hv.scatter. Collapsable accordions (in the left-hand side panel here) are also really handy when you have a lot of options/widgets and you'd like to prevent your app from looking too busy.

[Philipp Rudiger @PhilippJFR]

@Panel_org Here is the little example app I just built in 20 minutes as part of the launch event.

[NumFOCUS @NumFOCUS]

Our project family continues to grow 🪴🙌! We're excited to welcome @HoloViz_org, who has joined NumFOCUS as a sponsored project!

Learn more about the project here: https://t.co/r8tXblZSQP. #openscience #support #scientificcomputing #datascience

[Marc Skov Madsen, PhD, CFA® @MarcSkovMadsen]

Interested in Big Data Visualization? Check out the @RAPIDSai visualization guide https://t.co/vy6mLuhoTQ

Thanks for using @Panel_org and @HoloViz_org to power the interactivity in the page and the positive mention.

#python #bigdata #Datavisualization

[Wei-Meng Lee @weimenglee]

Ever wondered how chord diagrams are created? Or what is a chord diagram in the first place? This article using @HoloViews makes it easy to understand!

https://t.co/67gqvyoO6q

#chorddiagram #holoviews #python #dataanalytics

[Michael Barletta @MikeBWeather]

This was done using @Panel_org geoviews @HoloViews @bokeh and @datashader

All amazing python libraries that you should check out if you’re into interactive visualizations!

[Tom Nicholas @TEGNicholasCode]

My #fusionenergy #opensource software dream:

Magnetic-confinement fusion research should create their own interconnected ecosystem of open-source #python packages for analysis, following the model of @pangeo_data

[HoloViews @HoloViews]

@mrtn_rck Hard to debug without the data, but what that error message is saying is that the provided dataframe doesn't have a column with that name. Are you sure it's the right spelling? If there's definitely such a column in the df, then it may be an issue to report.

[Matthew Rocklin @mrocklin]

Video visualizing 1,000,000,000 points

https://t.co/m3f98C9dbM

This is a common example with Datashader. This video is different in that it focuses on performance tuning. When we start, an update takes 40s. When we're done, it takes ~1s.

High performance requires thought.

[Anaconda @anacondainc]

.@AnacondaInc is partnering w/ @bokeh & @NumFOCUS to support new open, OS-agnostic #dataviz tools for bioscience applications. 📊🏥

W/ support from @ChanZuckerberg, our goal is to accelerate scientific discovery.

Learn more here 👇
https://t.co/JpjSeDpaXe