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Fast Python interface for geodata - either on disk or in memory

Project description

Fast Python interface for geodata - either on disk or in memory.

The geoarray package facilitates reading and writing of all GDAL compatible image file formats and provides functions for geospatial processing.

Status

https://git.gfz-potsdam.de/danschef/geoarray/badges/main/pipeline.svg https://git.gfz-potsdam.de/danschef/geoarray/badges/main/coverage.svg https://img.shields.io/pypi/v/geoarray.svg https://img.shields.io/conda/vn/conda-forge/geoarray.svg https://img.shields.io/pypi/l/geoarray.svg https://img.shields.io/pypi/pyversions/geoarray.svg https://img.shields.io/pypi/dm/geoarray.svg

See also the latest coverage report and the pytest HTML report.

Features and usage

  • There is an example notebook that shows how to use geoarray: here.

Installation

History / Changelog

You can find the protocol of recent changes in the geoarray package here.

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

Project details


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