Skip to main content

Read simple root files into memory

Project description

ROOTLOADER

Parse simple root files into memory as dictionaries or purpose-built objects. Convert objects into pandas DataFrames for ease of processing.

Installation

Requires ROOT with pyroot installed.

Clone this repository and install

git clone git@github.com:ucn-triumf/rootloader.git
cd rootloader
pip install .

You will need to re-run the last line of the above upon every pull, unless you add the -e flag like this: pip install -e . Note that this may not work on all systems, particularly windows systems.

Documentation

See here.

Example

from rootloader import tfile

# read file
fid = tfile('myfile.root')

# key values can be accessed as attributes or as keys
# say there's a tree named "tree1". We can access it as
tr = fid.tree1

# or
tr = fid['tree1']

# get a pandas dataframe from the tree (the tree is left unaltered)
df = tr.to_dataframe()

# try to convert all file contents to pandas dataframes, and replace keys with these dataframes
fid.to_dataframe()

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

rootloader-1.4.0.tar.gz (64.6 kB view details)

Uploaded Source

File details

Details for the file rootloader-1.4.0.tar.gz.

File metadata

  • Download URL: rootloader-1.4.0.tar.gz
  • Upload date:
  • Size: 64.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for rootloader-1.4.0.tar.gz
Algorithm Hash digest
SHA256 1da75cfc6eb8461f5ff692945166a2f5fd94fe6aab6b54420bf5b30523f9bf92
MD5 c3011f4670972eaa8f5759dfc239622c
BLAKE2b-256 537238e0e5ca44f93c7b95857f9d8f2ed82db29cbd00f523d26e33b93907e3b1

See more details on using hashes here.

Supported by

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