Skip to main content

Python tools for ORCA

Project description

ORCA-tools

Our collection of python tools for ORCA.

Installation

Clone this repository and run pip install . inside the main directory. If you want to always use the latest content of the repo you can use the 'developement' install of pip by running pip install -e .. Just doing git pull to get the latest content of the repo will then automatically result in the usage of the latest code without need to reinstall.

Usage

You can either run python3 -m orcatools to use the command line interface, or import the needed features in your own scripts.

E.g. in a Jupyter notebook you can do

from orcatools.go import plot_orca_go
path = "path to your ORCA calculation"
plot_orca_go(filename="myjobname", presentation=True, path=path, show=True)

to also see your plots inside the notebook.

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

orcatools-0.0.2.tar.gz (6.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

orcatools-0.0.2-py3-none-any.whl (8.0 kB view details)

Uploaded Python 3

File details

Details for the file orcatools-0.0.2.tar.gz.

File metadata

  • Download URL: orcatools-0.0.2.tar.gz
  • Upload date:
  • Size: 6.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.5

File hashes

Hashes for orcatools-0.0.2.tar.gz
Algorithm Hash digest
SHA256 6f2c6494e8fa3d6c83200dba395a2ed5946a91d11974da9883632886c341c387
MD5 4975e20e9e7376400d1d14f2a4f372ba
BLAKE2b-256 1227d59246e62d7cd80054bd67ed9856fcc041ee20db5fdb767f095b0c47ba83

See more details on using hashes here.

File details

Details for the file orcatools-0.0.2-py3-none-any.whl.

File metadata

  • Download URL: orcatools-0.0.2-py3-none-any.whl
  • Upload date:
  • Size: 8.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.5

File hashes

Hashes for orcatools-0.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 5bb603ff8fa057732eeeded57d1c6d82a63e42542e5b7e906536cc8ccfc38d49
MD5 f71b4a737ed016d567d487b711e9499b
BLAKE2b-256 ecafca3eebda9561df329632e05600f54326831de3569255630503935e09bac2

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