pytileproj


Namepytileproj JSON
Version 0.0.17 PyPI version JSON
download
home_pagehttps://github.com/pyscaffold/pyscaffold/
SummaryClass for working with TiledProjectionSystems (TPS)
upload_time2023-07-26 19:35:40
maintainer
docs_urlNone
authorTU Wien
requires_python>=3.6
licensemit
keywords
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage
            ==========
pytileproj
==========

.. image:: https://github.com/TUW-GEO/pytileproj/workflows/ubuntu/badge.svg
   :target: https://github.com/TUW-GEO/pytileproj/actions/workflows/ubuntu.yml

.. image:: https://github.com/TUW-GEO/pytileproj/workflows/windows/badge.svg
   :target: https://github.com/TUW-GEO/pytileproj/actions/workflows/windows.yml

.. image:: https://coveralls.io/repos/github/TUW-GEO/pytileproj/badge.svg?branch=master
    :target: https://coveralls.io/github/TUW-GEO/pytileproj?branch=master

.. image:: https://badge.fury.io/py/pytileproj.svg
    :target: https://badge.fury.io/py/pytileproj

.. image:: https://readthedocs.org/projects/pytileproj/badge/?version=latest
    :target: https://pytileproj.readthedocs.io/en/latest/?badge=latest

A python class for working with TiledProjectionSystems (TPS).

It's a python package that handles the geometric and geographic operations of a gridded and tiled projection system.
It was designed for data cubes ingesting satellite imagery and builds the basis for the Equi7Grid (see https://github.com/TUW-GEO/Equi7Grid).

It also includes a nice and handy realisation of the UTM/UPS grid system, using the TiledProjectionSystems (TPS) approach.

Citation
========

.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.1042555.svg
   :target: https://doi.org/10.5281/zenodo.1042555

If you use the software in a publication then please cite it using the Zenodo DOI.
Be aware that this badge links to the latest package version.

Please select your specific version at https://doi.org/10.5281/zenodo.1042555 to get the DOI of that version.
You should normally always use the DOI for the specific version of your record in citations.
This is to ensure that other researchers can access the exact research artefact you used for reproducibility.

You can find additional information regarding DOI versioning at http://help.zenodo.org/#versioning

Installation
============

This package should be installable through pip:

.. code::

    pip install pytileproj

Installs for scipy and gdal are required from conda or conda-forge.

Contribute
==========

We are happy if you want to contribute. Please raise an issue explaining what
is missing or if you find a bug. We will also gladly accept pull requests
against our master branch for new features or bug fixes.

Development setup
-----------------

For Development we recommend a ``conda`` environment.

Example installation script
---------------------------

The following script will install miniconda and setup the environment on a UNIX
like system. Miniconda will be installed into ``$HOME/miniconda``.

.. code::

   wget https://repo.continuum.io/miniconda/Miniconda-latest-Linux-x86_64.sh -O miniconda.sh
   bash miniconda.sh -b -p $HOME/miniconda
   export PATH="$HOME/miniconda/bin:$PATH"
   conda create -n pytileproj_env python=3.6 numpy scipy pip gdal pyproj shapely
   source activate pytileproj_env


This script adds ``$HOME/miniconda/bin`` temporarily to the ``PATH`` to do this
permanently add ``export PATH="$HOME/miniconda/bin:$PATH"`` to your ``.bashrc``
or ``.zshrc``

The last line in the example activates the ``pytileproj_env`` environment.

After that you should be able to run:

.. code::

    python setup.py test

to run the test suite.

Guidelines
----------

If you want to contribute please follow these steps:

- Fork the pytileproj repository to your account
- Clone the repository
- make a new feature branch from the pytileproj master branch
- Add your feature
- Please include tests for your contributions in one of the test directories.
  We use py.test so a simple function called test_my_feature is enough
- submit a pull request to our master branch

Note
====

This project has been set up using PyScaffold 3.3. For details and usage
information on PyScaffold see https://pyscaffold.org/.

            

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