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Utilities to handle PMF data

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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.

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py4pm-0.7.1.tar.gz (29.9 kB view hashes)

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