ARCOS DOCS
  • ARCOS
  • Algorithm Overview
    • Event Detection and Tracking
    • Data Requirements
    • Preprocessing
  • Installation
    • Avalilable Implementations
      • R package "ARCOS"
      • Python Package "arcos4py"
      • Napari Plugin "arcos-gui"
  • Example Use Cases
    • Detecting Collective signalling events in epithelial Cells
    • Analysing Collective Phenomena in Honeybees
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  1. Installation
  2. Avalilable Implementations

Python Package "arcos4py"

PreviousR package "ARCOS"NextNapari Plugin "arcos-gui"

Last updated 2 years ago

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Installation instructions:

To install from pip, run this command in your terminal:

pip install arcos4py

Installing from conda-forge can be achieved by adding conda-forge to your channels with:

conda config --add channels conda-forge
conda config --set channel_priority strict

Once the conda-forge channel has been enabled, arcos4py can be installed with the conda package manager:

conda install arcos4py

Pip and conda-forge are the preferred methods to install arcos4py, as it will always install the most recent stable release.

The source for arcos4py can be downloaded from the Github repo.

You can either clone the public repository:

git clone https://github.com/bgraedel/arcos4py

Or download the tarball:

curl -OJL https://github.com/bgraedel/arcos4py/tarball/master

Package Specific Documentation and usage instructions:

Github repository:

LogoGitHub - bgraedel/arcos4py: Python port of the ARCOS R package to detect and analyse collective phenomenaGitHub
Logoarcos4py