A collection of geospatial data analysis tools that simplify standard operations when handling geospatial raster and vector data as well as projections.
.. image:: https://git.gfz-potsdam.de/danschef/py_tools_ds/badges/main/pipeline.svg :target: https://git.gfz-potsdam.de/danschef/py_tools_ds/commits/main .. image:: https://git.gfz-potsdam.de/danschef/py_tools_ds/badges/main/coverage.svg :target: https://danschef.git-pages.gfz-potsdam.de/py_tools_ds/coverage/ .. image:: https://img.shields.io/pypi/v/py_tools_ds.svg :target: https://pypi.python.org/pypi/py_tools_ds .. image:: https://img.shields.io/conda/vn/conda-forge/py-tools-ds.svg :target: https://anaconda.org/conda-forge/py-tools-ds .. image:: https://img.shields.io/pypi/l/py_tools_ds.svg :target: https://git.gfz-potsdam.de/danschef/py_tools_ds/blob/main/LICENSE .. image:: https://img.shields.io/pypi/pyversions/py_tools_ds.svg :target: https://img.shields.io/pypi/pyversions/py_tools_ds.svg .. image:: https://img.shields.io/pypi/dm/py_tools_ds.svg :target: https://pypi.python.org/pypi/py_tools_ds
See also the latest coverage_ report and the pytest_ HTML report.
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
.. code-block:: console
# 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:
.. code-block:: console
pip install py_tools_ds
via conda channel (currently only for Linux-64)
.. code-block:: console
# 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
You can find the protocol of recent changes in the py_tools_ds package
here <https://git.gfz-potsdam.de/danschef/py_tools_ds/-/blob/main/HISTORY.rst>__.
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.
.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _audreyr/cookiecutter-pypackage: https://github.com/audreyr/cookiecutter-pypackage
.. _coverage: https://danschef.git-pages.gfz-potsdam.de/py_tools_ds/coverage/
.. _pytest: https://danschef.git-pages.gfz-potsdam.de/py_tools_ds/test_reports/report.html
.. _conda: https://docs.conda.io/
FAQs
A collection of Python tools by Daniel Scheffler
We found that py-tools-ds demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
PyPI confirms no security flaws were exploited in the Ultralytics supply chain attack and highlights improvements for safer package publishing.
Security News
Research
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
Research
Security News
Attackers used a malicious npm package typosquatting a popular ESLint plugin to steal sensitive data, execute commands, and exploit developer systems.