py_tools_ds

A collection of geospatial data analysis tools that simplify standard operations when handling geospatial raster and vector data as well as projections.

Status

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

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

Features

  • TODO

Installation

py_tools_ds depends on some open source packages which are usually installed without problems by the automatic install routine. However, for some projects, we strongly recommend resolving the dependency before the automatic installer is run. This approach avoids problems with conflicting versions of the same software. Using conda, the recommended approach is:

via conda + pip

# create virtual environment for py_tools_ds, this is optional
conda create -y -q -c conda-forge --name py_tools_ds python=3
conda activate py_tools_ds
conda install -c conda-forge numpy gdal 'pyproj>=2.1.0' shapely scikit-image pandas

Then install py_tools_ds using the pip installer:

pip install py_tools_ds

via conda channel (currently only for Linux-64)

# create virtual environment for py_tools_ds, this is optional
conda create -y -q --name py_tools_ds python=3
conda activate py_tools_ds
conda install -c danschef -c conda-forge -c defaults py_tools_ds

Credits

The py_tools_ds package was developed within the context of the GeoMultiSens project funded by the German Federal Ministry of Education and Research (project grant code: 01 IS 14 010 A-C).

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