dataextractors

A collection of functions to extract pixels and metadata using geojson and georeferenced imagery.

Installation/Usage

In a virtualenv or conda virtual environment:

pip install dataextractors

A conda environment is preferred because the installation of gdal is straightforward:

conda create -n myenv -c conda-forge gdal
source activate myenv

Development

Clone the repo:

git clone https://github.com/digitalglobe/dataextractors
cd dataextractors

Install the requirements:

pip install -r requirements.txt

Please follow this python style guide. 80-90 columns is fine.

Create a new version

To create a new version:

bumpversion ( major | minor | patch )
git push --tags

Then upload to pypi.