pyIncore Incubator

pyIncore Incubator#

pyIncore-incubator is a component of IN-CORE that allows users to extend the core set of analyses provided by pyincore. New analyses in pyincore-incubator extend the pyincore BaseAnalysis class and can be chained with existing pyincore analyses to add new functionality. The incubator gives the community around the IN-CORE project a forum and set of resources for innovation and investigation of new ideas and alternative ideas.

Features#

Example analysis showing how to extend pyincore functionality

Prerequisites#

pyIncore: A user must have pyIncore package installed. See pyIncore section for details.
Virtual environment: We recommend that users work with virtual environment managers called Anaconda or Miniconda.
Mac OS specific notes: There is a Mac specific matplotlib installation issue addressed at StackOverflow link 1 and link 2. In a nutshell, insert line:
```
    backend : Agg
```
into ~/.matplotlib/matplotlibrc file. You must create the file (matplotlibrc) if it does not exist.

Installation#

To install pyIncore-incubator, navigate to the directory you want to use for running Jupyter Notebooks and run the following command:
```
conda install -c in-core pyincore-incubator
```
If you have trouble installing pyincore-incubator or it is taking a long time to resolve the dependencies, try using the libmamba solver by running the following command:
```
conda install -c in-core pyincore-incubator --solver=libmamba
```
If the installed pyincore-incubator version is not the latest or lower than the desired one, specify the version number in installation command.
```
conda install -c in-core pyincore-incubator=0.1.0 (or your version of choice)
```
Version information for pyincore-incubator can be found in
- https://anaconda.org/IN-CORE/pyincore-incubator
For update replace install with update.
To check that the package is installed run
```
conda list
```
It will again list all packages currently installed. You can check if pyincore and pyincore-incubator exist in the list.

Examples#

Below are a few example Jupyter notebooks of community contributions to IN-CORE.

Examples: