Skip to content

IceCube-SPNO/dashi

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

55 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

dashi

Elaborate data analyses are possible with the functionality offered by the great numpy, matplotlib, and pytables libraries. However their support for HEP-typical problems (histograms, fitting routines,visualization of those,..) is limited. Dashi is intended to be a thin wrapper around these libraries to provide some useful tools for these problems without obstructing the user the access to the underlying libraries and without being a dependency sink.

Installation

The easiest way to install dashi is with `pip`:

pip install https://github.com/IceCube-SPNO/dashi/zipball/master

Documentation

About

No description, website, or topics provided.

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Python 100.0%