geopandas
Cartopy
geopandas | Cartopy | |
---|---|---|
10 | 9 | |
4,218 | 1,360 | |
2.3% | 1.3% | |
9.2 | 8.8 | |
2 days ago | 11 days ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | BSD 3-clause "New" or "Revised" 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.
geopandas
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Geopandas spatial predicate performance increase?
Interesting! Full honesty I don’t know, lol. But if I were to guess… something to do with implementation of pygeos and indexing. Recent geopandas versions I believe handle joins with shapely vs. pygeos differently. Maybe if there is a declared predicate, it treats the spatial index differently. https://github.com/geopandas/geopandas/pull/1421
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Pandas or Polars to work with dataframes?
From the little I've seen, Polars looks good, but I'm sticking with Pandas for now... I do a lot of work with GeoPandas. When they release a usable version of GeoPolars, I'll take a look.
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GeoPandas: Crimea Assigned to Ukraine in naturalearth_lowres
Details on the root of the issue.[0]
[0] https://github.com/geopandas/geopandas/issues/2382
- Geopandas sucks for converting files
- geopandas v0.12.0 released, with Shapely 2.0 support
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Shapely just release version 1.8.5, which includes Python 3.11 support!
This means that almost all dependencies of GeoPandas now support Python 3.11, only Fiona is left (but being worked on). See this tracking issue: https://github.com/geopandas/geopandas/issues/2592
- Recreating QGIS SAGA polygon self-intersection in python?
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Using QGIS Processing Toolbox in an Independent Application?
Best python package alternative in my opinion: geopandas
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Spatial Joins and Big O
Geopandas uses pygeos to implement fast spatial joins (source code is here for the sjoin function: https://github.com/geopandas/geopandas/blob/main/geopandas/tools/sjoin.py). More from GeoPandas documentation: “GeoPandas offers built-in support for spatial indexing using an R-Tree algorithm. Depending on the ability to import pygeos, GeoPandas will either use pygeos.STRtree or rtree.index.Index. The main interface for both is the same and follows the pygeos model.”
Cartopy
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OSCAR 2022 sea surface velocity streamplot animation
Cartopy
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Mastering Matplotlib: A Step-by-Step Tutorial for Beginners
Cartopy - A cartographic Python library with matplotlib support.
- How to plot latitude and longitude points on a world map, and choose what kind of projection to use? (I don't want the mercator projection)
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[OC] One year in life of ocean eddies
There is not really much to it, really. Everything is done in python, with use of standard libraries, of which probably most important in this case is cartopy https://scitools.org.uk/cartopy/docs/latest/ This is the latest cartopy tutorial I was able to find: https://www.youtube.com/watch?v=ivmd3RluMiw
- [OC] This animation shows how the amount of daylight throughout the year changes based on Latitude. Made with Python and the matplotlib library.
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Is there a good library for creating maps and altering them according to data?
Cartopy is a great lib that has a ton of utilities for those purposes. It is a little bit tricky to use at first but you can get really nice visualizations. I recommend installing it using with a conda env because its dependencies with other libraries.
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[OC] Active Covid-19 cases per Capita in USA. 1/21/2020 - 8/23/2021
- Cartopy: https://github.com/SciTools/cartopy
- Module for projecting flat earth map to full disc
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[OC] Surface wind for the first 3 months of 2005, with a 6 hours timestep
Made with: Cartopy, imageio and good 'ol Matplotlib (all Python libraries)
What are some alternatives?
Shapely - Manipulation and analysis of geometric objects
folium - Python Data. Leaflet.js Maps.
py-qgis-wps - An implementation of the Web Processing Service standard from the Open Geospatial Consortium based on the QGIS processing API
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
BlenderGIS - Blender addons to make the bridge between Blender and geographic data
bokeh - Interactive Data Visualization in the browser, from Python
osmnx - OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications
geemap - A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
seaborn - Statistical data visualization in Python
matplotlib - matplotlib: plotting with Python
Redash - Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.