{"id":16463888,"url":"https://github.com/weber-s/py4pm","last_synced_at":"2025-10-27T10:31:36.946Z","repository":{"id":37763712,"uuid":"316257072","full_name":"weber-s/py4pm","owner":"weber-s","description":"Python utilities to handle the EPA PMF 5.0 results, and more.","archived":false,"fork":false,"pushed_at":"2022-01-08T10:22:39.000Z","size":1776,"stargazers_count":5,"open_issues_count":0,"forks_count":2,"subscribers_count":2,"default_branch":"master","last_synced_at":"2024-06-12T17:42:03.644Z","etag":null,"topics":["aerosols","pmf"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/weber-s.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2020-11-26T14:38:09.000Z","updated_at":"2023-11-23T08:33:25.000Z","dependencies_parsed_at":"2022-09-16T16:00:16.614Z","dependency_job_id":null,"html_url":"https://github.com/weber-s/py4pm","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/weber-s%2Fpy4pm","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/weber-s%2Fpy4pm/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/weber-s%2Fpy4pm/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/weber-s%2Fpy4pm/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/weber-s","download_url":"https://codeload.github.com/weber-s/py4pm/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":219861468,"owners_count":16555994,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["aerosols","pmf"],"created_at":"2024-10-11T11:15:52.431Z","updated_at":"2025-10-27T10:31:31.527Z","avatar_url":"https://github.com/weber-s.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"[![Documentation Status](https://img.shields.io/badge/Documentation-API-green)](https://webersa.gricad-pages.univ-grenoble-alpes.fr/py4pm/)\n[![PyPI version](https://badge.fury.io/py/py4pm.svg)](https://badge.fury.io/py/py4pm)\n\nUtilities to handle PMF data\n============================\n\nContents\n--------\n\n* [Usage](usage.md)\n* [API](api_py4pm.md)\n\nDescription\n-----------\n\n`py4pm` is a set of utilities to handle the xlsx output of EPA PMF5 software in python.\n\nThis project started because I needed to run several PMF for my PhD  and also needed to run some computation on these results.\nThe raw output of the EPA PMF5 software is a bit messy and hard to understand at a first\nglance, and copy/pasting xlsx file is not my taste... So I ended developping this tools\nfor handling the tasks of maping the xlsx output to nice python objects, on which I can easily run\nsome computation.\n\nSince I needed to plot the results afterward, I also added some plot utilities in this\npackage. It then has built in support for ploting :\n\n * chemical profile (both absolute and normalized)\n * species repartition among factor\n * timeserie contribution (*for all species* and profiles)\n * uncertainties plots (Bootstrap and DISP)\n * seasonal contribution\n\nMoreover, this package include some of the DeltaTool utilities developed by the JRC, notably for profile chemical similarities between several PMF results.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fweber-s%2Fpy4pm","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fweber-s%2Fpy4pm","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fweber-s%2Fpy4pm/lists"}