Utilities to handle PMF data
Contents
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.
1 maintainer
Release files for py4pm 0.7.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| py4pm-0.7.1.tar.gz | 29.9 kB | Details |
Release files / py4pm-0.7.1.tar.gz
| Download URL | py4pm-0.7.1.tar.gz |
|---|---|
| Size | 29.9 kB |
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