pyCProject

Provides basic function to read a ContentMine CProject and CTrees into python datastructures.

Main use is to read in all results.xml created by ami, and to be relate them to papers/metadata.

DEPRECATION WARNING

Visualization / network analysis in factnet.py will is no longer supported or maintained in this package as it is not part of the core functionality, and will be removed.

Installation

• You can install it from PyPI with

pip install pycproject

• Another option is to install it into a virtualenv:

source activate YOURVIRTUALENV
pip install pycproject

• Download and unzip the source from github, change into the unzipped folder, then run

python setup.py build
python setup.py install

converting to json-dumps

If your cproject is in PATH/TO/CPROJECT/CPROJECTNAME, call the script with

python3 pycproject/convert2elasticdump.py --raw PATH/TO/CPROJECT --name CPROJECTNAME --output PATH/TO/OUTPUTFOLDER

Usage

You can then read a generated ContentMine-project in with

from pycproject.readctree import CProject
MYPROJECT = CProject("path_to_cproject", "cproject_name")

You can work with a pandas DataFrame after creating it with

df = MYPROJECT.get_dataframe()