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A multidimensional grid for scientific computing.

Project description

DOI Python 3.6


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
    1. Import data
    1. Visualize data
    1. Introduction to processing and modelling using grid.
  • TikZ code for e.g. generating illustrations.


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

Future development:

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

Project details

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