🔥 Exciting new #geemap features: Create interactive charts from #EarthEngine data with just a few lines of Python 📊 The new charting functions provide a similar API to the EarthEngine JavaScript ui.Chart, making data visualization a breeze 🥳 Check out the details in this pull request:
github.com/gee-community/gee…#geospatial#bqplot
There’s some similar examples (moving vline in a plot) using ipytone bqplot, but I guess it would be possible to use it with bokeh widgets too (and holoviews, hvplot, etc.) since it is interoperable with ipywidgets?
In this example, the pitch of a synth follows the curve of global CO2 concentrations, while another synth plays small notes following the curve of global main air temperature.
(inspired from youtube.com/watch?v=ONuA9Hmk…, made with bqplot)
6/N
The stars and galaxies in this deep space image (taken by Hubble) are turned into sound with frequencies on y-axis, time on x-axis and gain modulated by light intensity.
(inspired from nasa.gov/content/explore-fro…, made with bqplot and scikit-image)
5/N
Dados diferentes com estatísticas descritivas semelhantes, mas com distribuições muito distintas. Na galeria de exemplos do @bqplot, mais uma ferramenta para ilustrar a recomendação:
"Never trust summary statistics alone; always visualize your data".
bqplot.github.io/bqplot-gall…