Skip to main content

No project description provided

Project description

Documentation Status PyPI version

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

py4pm-0.6.8.tar.gz (27.3 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page