This package provides routines for the conversion of image formats to time series and vice versa. It is part of the poets° project and works best with the readers and writers supported there. The main use case is for data that is sampled irregularly in space or time. If you have data that is sampled in regular intervals then there are alternatives to this package which might be better for your use case. See Alternatives for more detail.
The readers and writers have to conform to the API specifications of the base classes defined in pygeobase to work without adpation.
It includes two main modules:
If you have data that can be represented as a 3D datacube then these projects might be better suited to your needs.
This project has been set up using PyScaffold 2.4.4. For details and usage information on PyScaffold see http://pyscaffold.readthedocs.org/.
TODO: Figure out how to actually get changelog content.
Changelog content for this version goes here.
TODO: Brief introduction on what you do with files - including link to relevant help section.
|File Name & Checksum SHA256 Checksum Help||Version||File Type||Upload Date|
|repurpose-0.2-py2.py3-none-any.whl (1.8 MB) Copy SHA256 Checksum SHA256||py2.py3||Wheel||Sep 1, 2016|
|repurpose-0.2.tar.gz (25.3 kB) Copy SHA256 Checksum SHA256||–||Source||Sep 1, 2016|