Skip to main content

An interface between ROOT and NumPy

Project description

root_numpy

Python Extension for converting root files to numpy recarray or structure array. This is very useful for using in interactive data exploration environment like ipython (especially notebook).

Written in C++ with lots of pointer and memcpy magic and it doesn’t call PyRoot so it’s much faster especially if you are trying to read a large file in to memory (100MB+ or even GB’s of Data).

Currently only support basic types like Float_t Int_t Double_t Bool_t etc. and array of basic types both variable and fixed length. vector of basic type (int, float, double, char, long) is also supported.

Tab completion for numpy.recarray column name (yourdata.<TAB> showing the column names so you don’t have to remember it) is also available with this numpy patch

Requirements

Tested with Root 5.32, numpy 1.6.1, Python 2.7.1 but it should work in most places.

Installation

python setup.py install

Documentation

See http://rootpy.github.com/root_numpy/

Project details


Download files

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

Source Distribution

root_numpy-2.0.1.tar.gz (189.6 kB view details)

Uploaded Source

File details

Details for the file root_numpy-2.0.1.tar.gz.

File metadata

  • Download URL: root_numpy-2.0.1.tar.gz
  • Upload date:
  • Size: 189.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for root_numpy-2.0.1.tar.gz
Algorithm Hash digest
SHA256 b22148f327944bf7f47e6c08794227f97319422014c5af8f923c2810cab93573
MD5 664111cf6c22b174bba1d20d36a4a9c6
BLAKE2b-256 0290d9ef075a5efb64959fbabfe2f8a61b14bb4d28ab3f359af39529c407b90d

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page