Datashader

#Datashader is an #OpenSource library for rasterizing large amounts of data into beautiful, accurate images. Datashader is a project of @AnacondaInc. #DataViz

[Datashader @datashader]

LOVE this! @Instacart delivery visualizations using #datashader from @jeremystan: https://t.co/JiWPve7Odv #OpenSource #DataViz #Instacart

[Anaconda @anacondainc]

We’re excited to announce our support for Pandata, the scalable open-source analysis stack 🎉 🐍 🌐

Pandata offers a set of general-purpose & powerful open-source data analytics tools enabling scalable data processing for any domain.

Read more here 👇
https://t.co/A7U0aHJRod

[Peter Wang 🦋 @pwang]

1 billion points of NYC taxi data, interactively visualized with @datashader

[Panel @Panel_org]

📢Videos from @europython are out.

💁‍♀️If you are interested in big data visualization and data apps check out Jean-Luc Stevens talk

🧵👇 Link below

#python #dataviz #datascience @datashader

[Christopher Akiki @christopher]

Code Dataset Visualization—11.66 million files from the Stack, a @BigCodeProject dataset sourced from permissively-licensed @github repositories spanning 86 programming languages (StarCoder languages subset).

[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

[Anaconda @anacondainc]

🎉 We’re thrilled to announce @AnacondaInc’s first ever #DataAppContest !!

The competition goes from June 13-30, so start building your team for the chance to win great prizes & showcase your skills!

Learn more & register here 👇
https://t.co/5CYS5vTAbM

[Panel @Panel_org]

We are thrilled to announce the availability of the Panel 1.0 release candidate for general testing! This release represents a leap forward in performance and usability. We need your help to make this a smooth transition, find the announcement here: https://t.co/F281SP9GHy

[hiveplotlib @hiveplotlib]

We revamped our Bitcoin OTC user ratings example to use Hiveplotlib's @datashader capabilities. We see changes in trust in the network over time that appear to correlate with the price of Bitcoin. For more, check out our docs: https://t.co/gP6FkaIdDx

[PyViz @PyViz_org]

Check out this new review of Python viz libraries for geographic applications, comparing Altair, @Bokeh, Cartopy, @Datashader, GeoPandas, Geoplot, GeoViews, hvPlot, and Plotly: https://t.co/dF6ZRzlWl6

[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.

[Datashader @datashader]

Cool. Everyone be sure to zoom in and see the pretty snowflakes when these patterns are rendered at high resolution like this...

[François @franssoa]

@souplovr23 Great post @souplovr23 ! Here is an implementation In #Python with @datashader : https://t.co/apvbb6y1HF

[James Bednar @JamesABednar]

We are excited for @HoloViews, hvPlot, and @Panel_org to start building on the upcoming better support for bioscience and biomedical applications in @bokeh !

[Datashader @datashader]

@PratapVardhan @sujeetomar @streamlit Datashader easily handles 10 million or 500 million, and takes all data points into account when constructing the visualization (accumulating them per pixel and faithfully reporting the density per pixel). It's a good choice for anything over tens of thousands of points.

[James Bednar @JamesABednar]

Great new @Datashader talk about the UK Census from https://t.co/7rKV0J1yjv: https://t.co/r1d5OuZOEP

[François @franssoa]

New post : Download some benchmark road networks for Shortest Paths algorithms https://t.co/Rjcnj6NctQ
#Python #networks #Parquet @DuckDB @Datashader

[James Bednar @JamesABednar]

@HoloViews @sophiamyang Exciting hvPlot 0.8 news: In addition to @bokeh, you can now create @matplotlib and @plotlygraphs: https://t.co/QOW5Y9tomJ Compared to the default Matplotlib Pandas .plot(), hvPlot adds automatic widgets for exploring data, easy layouts, maps, datashader, and more!

[HoloViews @HoloViews]

We are very excited to announce the release of hvPlot 0.8! Discover the new features here: https://t.co/tjOHHTkmin or check out @sophiamyang's amazing video: https://t.co/5Oh9pa5FTg

[Shubhanshu Mishra @TheShubhanshu]

The beauty of matrix eigenvalues.
Eigen Values of 1M random matrices of form [A 1 -1; -1 B 0; 1 -1 -1]
Made in #Python using @datashader and @matplotlib
Inspired from the same viz by @BohemianMatrix

[Datashader @datashader]

@mathieubastian @nicolasbchb @Neolectron @sigmajs @Gephi Datashader directly supports points, lines, areas, rasters, trimeshes (triangle-based meshes), quadmeshes (irregular rasters), and polygons, and other libraries use those primitives to support many other types of plots (see https://t.co/3bvyE2Q0ZH).

[Datashader @datashader]

@nicolasbchb @Neolectron @sigmajs @Gephi Datashader dessine des millions de points en millisecondes (ou des milliards en secondes) sur un ordinateur portable. Et si vous l'utilisez à partir de https://t.co/r0MZO387ee, il redessinera lors du zoom et du pan, ce qui facilitera l'exploration de "big data".