| Name | py-tools-ds JSON |
| Version |
0.23.1
JSON |
| download |
| home_page | None |
| Summary | A collection of Python tools by Daniel Scheffler |
| upload_time | 2024-11-27 12:04:05 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.8 |
| license | Apache-2.0 |
| keywords |
py_tools_ds
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
===========
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.
* Free software: Apache 2.0
* Documentation: https://danschef.git-pages.gfz-potsdam.de/py_tools_ds/doc/
Status
------
.. 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.
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*
.. 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
History / Changelog
-------------------
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>`__.
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.
.. _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/
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