Flask JSONDash
folium
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| Flask JSONDash | folium | |
|---|---|---|
| - | 17 | |
| 3,292 | 6,678 | |
| - | 1.1% | |
| 0.0 | 9.0 | |
| almost 2 years ago | 5 days ago | |
| Python | Python | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Flask JSONDash
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Tracking mentions began in Dec 2020.
folium
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Folium Help
A good thing to try would be to look over the folium documentation on their GitHub Page, Folium. For help with code you could ask ChatGPT to explain what you're interested in using their docs.
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Framework suggestions for Map based application
I currently utilize Folium for a work project but would like to move it out of Folium into something that supports API requests for real-time data and vector tiles instead of raster.
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2d map visualization library for JS
If you know Python you can use Folium produce Leaflet maps without using Javascript. I'm not sure if the updating functionality you require is possible, but could be worth a look.
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Live update maps
Try Folium, here are some examples.
- How to access a class in DOM object of a map
- Free guides to learn Python for GIS?
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Geohistograms in Python
For our visualizations we will be using Folium. This is a description from the authors:
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Placing a Voronoi diagram over a streetmap (using Python)?
I'm mapping some election results, and trying to create a diagrammatic representation of who voted for whom, and where. I'm using Python, and I can create a perfectly respectable initial map (without Voronoi diagrams) using its folium package, with OpenStreetMap tiles. See https://numbersandshapes.net/posts/post_election_swings/.
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creating a script that displays live GPS telem data on map?
Look in the folium package. https://python-visualization.github.io/folium/
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A More Interactive Folium choropleth
Choropleth maps are a quick and easy way to visualize a numeric variable geographically. I love the ease and interactivity of most functions from the folium module, but the choropleth method lacks interactivity and clarity in the legend.
What are some alternatives?
Altair - Declarative statistical visualization library for Python
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
bokeh - Interactive Data Visualization in the browser, from Python
PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications
Leaflet - 🍃 JavaScript library for mobile-friendly interactive maps 🇺🇦
seaborn - Statistical data visualization in Python
Cartopy - Cartopy - a cartographic python library with matplotlib support
VisPy - Main repository for Vispy
ggplot - ggplot port for python