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#pandas — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #pandas, aggregated by home.social.

  1. How are the schools in your country?

    The results from PISA 2025 are out, ranking education systems in dozens of countries.

    In the latest Bamboo Weekly, we use to better understand some of this data.

    Level up your data-analysis skills every Wednesday: BambooWeekly.com

  2. Profile raw CSVs from ETL or APIs: this 282-line pandas script flags outliers via z-score (std thresh) and outputs an HTML report. Intermediate level, ready to run. valtersit.com/python/pandas-da #python #data #pandas

  3. #30DayMapChallenge : #Fire

    The #Volcanic Isles . A brief history of volcanism across The British Isles.

    Quite pleased with how this one turned out.

    Location of volcanoes taken from wikipedia (spotted a mistake and got to make an edit to wikipedia in the process); fault lines from the #BGS 625k bedrock dataset and the IE GSI 500k Bedrock Geology for Ireland. Font: League-Spartan by the League of Moveable Type.

    #requests, #pandas and #geopandas for scraping and wrangling.#scipy for making the proximity surface (that's the colour scheme), #matplotlib for plotting. With all labeling done manually in #inkscape.

    EDIT: I've been kindly and helpfully informed that (a) Ben Nevis' age is closer to 399 Ma; (b) some are missing; (c) others perhaps shouldn't be there; (d) it's complicated. So, maybe don't use this map to make any strategic decisions.

    #volcanism #volcano #imNotExtinctImDormant #magma #geology #faultlines

  4. Great Tables is in need of great reviewers! We’re looking for volunteer reviewers with expertise in Pandas or Polars DataFrames and an interest in making beautiful tables to help review the Great Tables Python package.

    🫶 New to reviewing? We offer mentorship!

    ⚡ Learn more about Great Tables: github.com/posit-dev/great-tab
    💜 Apply today: bit.ly/pyOSReviewer

  5. To review the (draft) update of national #SSP projections for #GDP and #population, you can...

    1. View the data via our interactive #ScenarioExplorer hosted by the #IIASA #ScenarioServices team
    2. Download the full dataset as xlsx
    3. Access the data via our #Python or #Rstats API

    And with our #opensource package #pyam_iamc, it's as easy as the snippet below...
    ... to get something that's just like a #pandas #DataFrame - but better!

    #ReadTheDocs at pyam-iamc.readthedocs.io

  6. Some #FavoriteTools

    #perplexity.ai for thoughtful web queries. (Shows reasoning and references.)

    #Vim for #TextEditing

    #Firefox w/ #Tridactyl #uBlockOrigin

    #Raindrop for #Tagging and #Bookmarking web pages

    #Inoreader #RSS reader

    #Pandoc for document creation/conversion

    #Ubuntu #Linux (even if it's running under Windows #wsl

    #Python w/ #Jupyter #Pandas #Matplotlib #numpy #scipy #plac

    #TheBrain for #KnowledgeManagement (but considering moving to #Obsidian)

    #MoonReader for ebooks and PDFs

    #RolandFP90 and A-88 for #piano

    #transcribe for working through #music #video

    #Leatherman #SkeletoolCX for EDC multitool

    #Benchmade #Griptilian when I need more of an actual knife

    #Signal for #messaging

    #mastodon for social media

    #antennapod for podcasts

    #streamlightwedgext for #EDC flashlight