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GIS utility package

Project description

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Current release info

Name Downloads Version Platforms
Conda Recipe Conda Downloads Downloads Downloads Downloads PyPI - Downloads Conda Version PyPI version Conda Platforms Join the chat at https://gitter.im/Hapi-Nile/Hapi

conda-forge feedstock

Conda-forge feedstock

pyramids - GIS utility package

pyramids is a GIS utility package using gdal, ....

pyramids

1

Main Features

  • GIS modules to enable the modeler to fully prepare the meteorological inputs and do all the preprocessing needed to build the model (align rasters with the DEM), in addition to various methods to manipulate and convert different forms of distributed data (rasters, NetCDF, shapefiles)

Installing pyramids

Installing pyramids from the conda-forge channel can be achieved by:

conda install -c conda-forge pyramids=0.7.3

It is possible to list all the versions of pyramids available on your platform with:

conda search pyramids --channel conda-forge

Install from GitHub

to install the last development to time, you can install the library from GitHub

pip install git+https://github.com/serapeum-org/pyramids

pip

to install the last release, you can easily use pip

pip install pyramids-gis==0.7.3

Quick start

  >>> import pyramids

Testing

Use Pixi to run tests in the dev environment:

pixi run -e dev pytest -q

Run a specific test file:

pixi run -e dev pytest tests/netcdf/test_dimensions.py

Run a single test by node id:

pixi run -e dev pytest tests/netcdf/test_dimensions.py::TestStripBraces::test_with_braces -q

Docker

A Dockerfile is provided to run pyramids-gis in a controlled environment with the correct GDAL stack preinstalled via conda-forge.

Build the image:

# from the repository root
docker build -t pyramids-gis:latest .

Run the container (mount your current folder as /workspace):

# Windows PowerShell
docker run --rm -it -v ${PWD}:/workspace pyramids-gis:latest bash

Inside the container you can verify the package is installed:

python -c "import pyramids; import sys; print('pyramids', getattr(pyramids, '__version__', 'dev'), 'Python', sys.version.split()[0])"

Dataset diagram

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