Utilities to handle PMF data¶
Description¶
py4pm is a set of utilities to handle the xlsx output of EPA PMF5 software in python.
This project started because I needed to run several PMF for my PhD and also needed to run some computation on these results. The raw output of the EPA PMF5 software is a bit messy and hard to understand at a first glance, and copy/pasting xlsx file is not my taste… So I ended developping this tools for handling the tasks of maping the xlsx output to nice python objects, on which I can easily run some computation.
Since I needed to plot the results afterward, I also added some plot utilities in this package. It then has built in support for ploting :
chemical profile (both absolute and normalized)
species repartition among factor
timeserie contribution (for all species and profiles)
uncertainties plots (Bootstrap and DISP)
seasonal contribution
Moreover, this package include some of the DeltaTool utilities developed by the JRC, notably for profile chemical similarities between several PMF results.