Shapely
Fiona
| Shapely | Fiona | |
|---|---|---|
| 7 | 3 | |
| 3,678 | 1,125 | |
| 1.1% | 0.8% | |
| 8.4 | 8.5 | |
| 16 days ago | 9 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.
Shapely
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Object oriented programming in GiS
https://github.com/shapely/shapely First paragraph of readme agrees w/ me
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I used Python to control a custom stop-motion animation drawing machine
The frames' vector data is generated using a sketch made with my vsketch framework (it involves loading GeoJSON data, processing it with Shapely, and projecting it in 3D with NumPy).
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GIS Developer career path
As has been said the definition of a GIS dev is far from written in stone, but to chime in from a personal standpoint: most of what I do is data wrangling/analysis with shapely/geopandas for vectors (or pygeos / fiona for performance when data volumes get large, but seeing as Shapely 2.0 just got released one can likely skip this part) + rasterio for rasters as well as parallelising these tasks for performance if needed (ray is great for that) and then performing machine learning learning against the data (mostly with sklearn and torch).
- shapely 2.0b1 released
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Using QGIS Processing Toolbox in an Independent Application?
geopandas and the underlying geometry library shapely provide an alternative to the majority of the basic GIS functionality of qgis. See e.g. https://autogis-site.readthedocs.io/en/latest/ for a tutorial for the basics of these libraries.
- Shapely 1.8.0 released
- Trouble interpreting traceback from attempting to use DeepLabCut
Fiona
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Friends don't let friends export to CSV
Your issue is that you're using the default (old) binding to GDAL, based on Fiona [0].
You need to use pyogrio [1], its vectorized counterpart, instead. Make sure you use `engine="pyogrio"` when calling `to_file` [2]. Fiona does a loop in Python, while pyogrio is exclusively compiled. So pyogrio is usually about 10-15x faster than fiona. Soon, in pyogrio version 0.8, it will be another ~2-4x faster than pyogrio is now [3].
[0]: https://github.com/Toblerity/Fiona
[1]: https://github.com/geopandas/pyogrio
[2]: https://geopandas.org/en/stable/docs/reference/api/geopandas...
[3]: https://github.com/geopandas/pyogrio/pull/346
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GIS Developer career path
As has been said the definition of a GIS dev is far from written in stone, but to chime in from a personal standpoint: most of what I do is data wrangling/analysis with shapely/geopandas for vectors (or pygeos / fiona for performance when data volumes get large, but seeing as Shapely 2.0 just got released one can likely skip this part) + rasterio for rasters as well as parallelising these tasks for performance if needed (ray is great for that) and then performing machine learning learning against the data (mostly with sklearn and torch).
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Read xml with CurvePolygon with Geopandas / Fiona (Python)
TypeError 10 refers to (https://github.com/Toblerity/Fiona/blob/master/fiona/_geometry.pyx):
What are some alternatives?
geopy - Geocoding library for Python.
gis-programming-roadmap - One stop shop for all your GIS Programming needs
GeoDjango - GeoDjango provides geospatial extensions to the Django web dev framework
rasterio - Rasterio reads and writes geospatial raster datasets
geojson - Python bindings and utilities for GeoJSON
gdal - GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.
geoip2 - Python code for GeoIP2 webservice client and database reader
geoserver-rest - Python library for management for geospatial data in GeoServer.
django-countries - A Django application that provides country choices for use with forms, flag icons static files, and a country field for models.
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
geocoder - :earth_asia: Python Geocoder
Reverse Geocoder - A fast, offline reverse geocoder in Python