geoserver-rest
Fiona
geoserver-rest | Fiona | |
---|---|---|
1 | 3 | |
180 | 1,129 | |
0.6% | 1.2% | |
7.8 | 8.5 | |
20 days ago | 7 days ago | |
Python | Python | |
MIT License | BSD 3-clause "New" or "Revised" License |
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geoserver-rest
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Release Conda package from PyPI
{% set name = 'geoserver-rest' %} {% set version = '0.1.0' %} package: name: {{ name|lower }} version: {{ version }} source: url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/{{ name }}-{{ version }}.tar.gz sha256: 625327b23ee2ee77e839272b04d0b6e81b7dc98e0713e4e23d003a1bf2461551 build: noarch: python number: 0 script: "{{ PYTHON }} -m pip install . -vv" requirements: host: - python >=3.6 - pip run: - python >=3.6 - pip - gdal - seaborn - pycurl - psycopg2 test: imports: - geo commands: - pip check requires: - pip about: home: https://github.com/gicait/geoserver-rest license: MIT license_file: LICENSE summary: "The package for management of geospatial data in GeoServer." description: | The geoserver-rest package is useful for the management for geospatial data in GeoServer. The package is useful for the creating, updating and deleting geoserver workspaces, stores, layers, and style files. dev_url: https://github.com/gicait/geoserver-rest extra: recipe-maintainers: - iamtekson
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?
titiler - Build your own Raster dynamic map tile services
gis-programming-roadmap - One stop shop for all your GIS Programming needs
rasterio - Rasterio reads and writes geospatial raster datasets
staged-recipes - A place to submit conda recipes before they become fully fledged conda-forge feedstocks
gdal - GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration