To run, open the command prompt, go to this directory and run this command (replacing the path by your own local repository). Python and bokeh should be installed and added to PATH:

$ cd C:\Users\romainb\Documents\Dynamic MFA Viz Python Bokeh

$ bokeh serve --show dynamic_stock_viz.py

Script building an interactive Bokeh visualization for dynamic MFA models, where the user can:

- choose between stock and inflow-driven models

- choose different presets for the driver (inflow or stock)

- change the lifetime distribution 

  (normal distribution defined by mean and standard deviation)
  
- visualise the effet of decreasing or increasing lifetime

Based on the package dynamic_stock_model by Stefan Pauliuk: https://github.com/stefanpauliuk/dynamic_stock_model/

The time and input data have to be specified in the file Sample_data.csv

dependencies: bokeh == 2.3.0 numpy == 1.19.2 pandas == 1.2.3 scipy == 1.6.2