Matplotlib

@matplotlib

Python library for creating static, animated, & interactive visualizations. Come chat @ Sponsored by

matplotlib.org
Vrijeme pridruživanja: ožujak 2017.
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  1. Prikvačeni tweet
    6. sij

    Need help? Interested in contributing but not sure where to start? Have viz you want to show off? Want to suggest some changes to the library but hesitant to open an issue? Come chat with us at

    1 reply 6 proslijeđenih tweetova 26 korisnika označava da im se sviđa
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  2. prije 3 minute

    We're applying under as usual & pretty much all of this. We're most interested in folks who want to be part of the community & we hope will stick around. Also downstream libraries, please get in touch if you'd like to colloborate!

    Thinking of applying for GSoC this year? There's some great reading to help prepare you 👇 - it's not about who makes the most PRs or writes the niftiest code!
    1 proslijeđeni tweet 1 korisnik označava da mu se sviđa
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  3. proslijedio/la je Tweet
    prije 10 sati

    The first paper on SciPy, after 19 years - feels so good to finally see this published! Credit goes to all SciPy contributors over all those years, amazing team effort! And thanks to Nature Methods for making it open access!

    Really excited to publish this Perspective today, open access! A huge project since 2001.
    45 proslijeđenih tweetova 100 korisnika označava da im se sviđa
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  4. prije 4 sata

    Retweeting for the visualization, absolutely no claims as to the accuracy of the the modeling.

    Imagine the breaks out at a random location in the . How will it spread? What can be done to contain it? Read the full post: Visualisation in and
    1 proslijeđeni tweet 4 korisnika označavaju da im se sviđa
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  5. proslijedio/la je Tweet
    prije 10 sati

    I like learning that something I took for granted, and thought to be simple, is in fact complex and required a lot of brain power to bring into the world. Example given, Matplotlib's colormaps:

    2 proslijeđena tweeta 9 korisnika označava da im se sviđa
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  6. proslijedio/la je Tweet
    prije 8 sati

    Lil' preview of the content I've started working on today for my first ever room release for Introductory to Data Analytics using Jupyter Notebooks, Pandas and Matplotlib. It's a nice refresher for me, and hopefully there's some interest for it on !

    1 reply 1 proslijeđeni tweet 9 korisnika označava da im se sviđa
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  7. proslijedio/la je Tweet
    prije 9 sati

    I made an illustration for my class of why you need separate validation and training sets and I'm quite happy with it. Has anyone illustrated this similarly before?

    12 replies 55 proslijeđenih tweetova 371 korisnik označava da mu se sviđa
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  8. proslijedio/la je Tweet
    prije 11 sati

    xarray 0.15.0 is out! with binderized examples! Full changelog: Thanks to all 32 (!) contributors to this release

    13 proslijeđenih tweetova 36 korisnika označava da im se sviđa
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  9. proslijedio/la je Tweet
    2. velj

    Appreciate the efforts of Alaska based who raised his receiver to a 3 meter high mast. These are the "before" / "after" skyplots (10 hours each). Big improvement, thanks Leif!

    2 proslijeđena tweeta 12 korisnika označava da im se sviđa
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  10. proslijedio/la je Tweet
    prije 18 sati

    This is pretty cool - created a chart of a subaccount pnl on from their API endpoint /pnl/historical_changes Using , pandas and matplotlib (a pain to use via docker - had to write to file).

    1 proslijeđeni tweet 4 korisnika označavaju da im se sviđa
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  11. prije 12 sati

    Happy we could help 😉

    Couldn't have done it without 💚
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    1 reply 1 korisnik označava da mu se sviđa
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  12. proslijedio/la je Tweet
    prije 14 sati

    other-worldly explorations

    3 proslijeđena tweeta 8 korisnika označava da im se sviđa
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  13. proslijedio/la je Tweet
    prije 16 sati

    Trying to replicate 's Player Minutes viz in . Here's Arsenal (excluding yesterday vs Burnley).

    1 reply 3 proslijeđena tweeta 10 korisnika označava da im se sviđa
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  14. proslijedio/la je Tweet
    prije 17 sati
    Odgovor korisnicima i sljedećem broju korisnika:

    Thanks ! Here's the code that does it: and here's a course that walks through the design and creation process:

    1 proslijeđeni tweet 1 korisnik označava da mu se sviđa
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  15. proslijedio/la je Tweet
    1. velj

    Is there anybody out there? This account is about to rise like a phoenix from the ashes...

    15 replies 40 proslijeđenih tweetova 257 korisnika označava da im se sviđa
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  16. prije 24 sata

    Pylab has been deprecated since 2.2 and mostly removed as of 3, so you extra especially shouldn't do this...

    how to mess with your coworkers
    1 reply 7 proslijeđenih tweetova 57 korisnika označava da im se sviđa
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  17. proslijedio/la je Tweet
    3. velj

    Win Probability Chart Data: Made in:

    4 proslijeđena tweeta 12 korisnika označava da im se sviđa
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  18. proslijedio/la je Tweet
    3. velj

    2018年10月と2019年10月の岩手県の百貨店・スーパーの商品別販売額の比較。 2018年10月に対し2019年10月は販売額が落ち込んでいる ・2019年10月は景気が悪かった？（もしくは2018年10月は景気が良かった？）

    1 reply 1 proslijeđeni tweet 4 korisnika označavaju da im se sviđa
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  19. proslijedio/la je Tweet
    3. velj

    progress Interactive issue label analysis now integrated into dashboard. Top N by frequency (default 15) w/ (optional) issue label grouping, using a CSV file. User docs update still to do prior to release, but I'm pleased with the result. :-D sample below

    2 proslijeđena tweeta 6 korisnika označava da im se sviđa
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  20. proslijedio/la je Tweet
    2. velj

    Lots of really helpful advice in the replies. Thanks all!

    I’m collaborating with some people who use a pandas+matplotlib workflow. I am struggling because matplotlib is unintelligible to me. What are the best resources for getting up speed with it?
    2 proslijeđena tweeta 6 korisnika označava da im se sviđa
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  21. proslijedio/la je Tweet
    2. velj

    How to draw a simple bar chart of a given public Instagram account data 📊

    3 proslijeđena tweeta 7 korisnika označava da im se sviđa
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@matplotlib još nije objavio nijedan Tweet.

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