Metadata-Version: 2.1
Name: agrid
Version: 0.3.3
Summary: A multidimensional grid for scientific computing.
Home-page: https://github.com/TobbeTripitaka/agrid
Author: Tobias Staal
Author-email: tobbe@tripitaka.se
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
Requires-Dist: dask (>=2.1.0)
Requires-Dist: fiona
Requires-Dist: geopandas
Requires-Dist: imageio (>=2.5.0)
Requires-Dist: matplotlib (>=3.1.1)
Requires-Dist: numpy (>=1.16.1)
Requires-Dist: pandas (>=0.25.0)
Requires-Dist: rasterio (>=1.0.24)
Requires-Dist: pyproj (>=1.9.6)
Requires-Dist: scipy (>=1.3.0)
Requires-Dist: xarray (>=0.12.3)

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# agrid
A grid for modelling, analyse, map and visualise multidimensional and multivariate data. The module contains a class for generating grid objects with variables and functions that defines a multidimensional space with defined extent. 

Main features:
  - Labelled dimensions coordinates using xarray
  - Fast process of high resolution and low resolution data
  - Using dask arrays
  - 2D map plots and cross-sections
  - 3D visualisation
  - Features for modelling, analysis and visualisation

The repository contains: 
 - Module with class for functions and variables. 
 - Jupyter notebook tutorials:
  - 1. The grid object
  - 2. Import data
  - 3. Visualize data
  - 4. Introduction to processing and modelling using grid. 

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## Instructions: 

The package can be installed by adding it to your Python path, but can also be an incorporated part of you project. 

To start: 
Download module. 

Import agrid 

See example in the Jupyter Notebook agrid

Using pip: 
pip install agrid

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## Future development: 

 - Software Meta-paper
 - Updates
 - Non regular grids
 - Hexagonal grids
 - More visualisation option
 - More developed and robust import functions

