Skip to main content

A multidimensional grid for scientific computing.

Project description

DOI Python 3.6

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
    1. Import data
    1. Visualize data
    1. 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


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for agrid, version 0.3.0
Filename, size File type Python version Upload date Hashes
Filename, size agrid-0.3.0-py3-none-any.whl (6.3 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size agrid-0.3.0.tar.gz (4.9 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page