Pyplan is a Python development environment intended for easily creating and deploying data analytics apps. Different than a Jupyter Notebook, where code is structured as a list of sentences, in Pyplan code is contained in nodes that work as calculation steps, organized in a hierarchical influence diagram. Nodes can be evaluated, and its result inspected through a console output or rendered as a table or graph.

Pyplan Core is a Python library for using Pyplan models in any Python environment as for example a Jupyter Notebook. It provides methods to open a model, set selectors values and get results of nodes. This library expands the possibilities of using Pyplan models embedded in your own application. Models still have to be created using the Pyplan Graphical IDE that you can download and use for free at www.pyplan.org

Installing and running Pyplan Core

You can install Pyplan Core in your computer following the instructions below.

pip install pyplan_core

or

conda config --append channels pyplan
conda config --append channels conda-forge
conda install pyplan-core

You can use Pyplan Core in your computer following the instructions below.

from pyplan_core.pyplan import Pyplan

pyplan = Pyplan()

#model_filename = "path/to/my_model_file.ppl"
model_filename = pyplan.sample_models.use_of_pyplan_core()  # for sample purposes
pyplan.openModel(model_filename)
value = pyplan.getResult("total_of_cases")
print(value)

pyplan.closeModel() 

You can see the model used in this example by clicking here

Examples of use of pyplan-core in jupyter notebook:

simple.ipynb

selectors.ipynb