GithubHelp home page GithubHelp logo

oxelson / drilsdown Goto Github PK

View Code? Open in Web Editor NEW

This project forked from unidata/drilsdown

0.0 0.0 0.0 199.13 MB

Drawing Rich Integrated Lat-lon- time Samples from Datasets Online into Working Notebooks

License: MIT License

Shell 0.01% JavaScript 0.04% Ruby 0.01% Python 0.08% Java 0.02% MATLAB 0.01% CSS 0.01% Makefile 0.01% HTML 6.99% Batchfile 0.01% Jupyter Notebook 92.85%

drilsdown's Introduction

Build Status

Consolidated repo of the DRILSDOWN project

an NSF Earthcube supported effort

DRILSDOWN (Drawing Rich Integrated Lat-lon-time Subsets from Dataservers Online into Working Notebooks) is a project to facilitate access ro detailed visualizations (in the Integrated Data Viewer, IDV) of Cases of Interest (user-defined) within a Python-based geo-space x time statistical data analyses -- if the data for such visulaizations are available online in nice aggregated repositories.


The basic capabilities

  1. Jupyter notebook interactions with an IDV session on the local machine: ipython_IDV extension.

  2. IDV enhancements (analysis codes, color scales, templates visible in favorites folders): the Mapes IDV Collection.

  3. Jupyter-based mechanisms (an IDV kernel) for writing new IDV Jython analysis codes: JyIDV or iJython.

  4. Ways to "teleport" a template visualization to Places & Times of Interest: idv_teleport, a Python command line tool.

  5. Ways to publish template IDV bundles, template notebooks, and final results to a RAMADDA repository, where they are viewable via browser as well as accessible digitally: ramadda_publish, RAMADDA plugin.


How to get the goodness

   pip install drilsdown 

See the examples, and documentation for the parts. These capabilities are in different languages and forms, and can be useful individually, but are especially powerful together.

drilsdown's People

Contributors

brianmapes avatar dopplershift avatar jeffmcwhirter avatar oxelson avatar piqueen314 avatar suvarchal avatar yuanho avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.