A multidimensional grid for scientific computing.
Project description
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:
-
- The grid object
-
- Import data
-
- Visualize data
-
- Introduction to processing and modelling using grid.
- TikZ code for e.g. generating illustrations.
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
Future development:
- Software Meta-paper
- Updates
- Non regular grids
- Hexagonal grids
- More visualisation option
- More developed and robust import functions
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
agrid-0.3.0.tar.gz
(4.9 kB
view hashes)
Built Distribution
agrid-0.3.0-py3-none-any.whl
(6.3 kB
view hashes)