René's URL Explorer Experiment


Title: Path snapping does not respect quantization scale appropriate for Retina displays · Issue #2697 · matplotlib/matplotlib · GitHub

Open Graph Title: Path snapping does not respect quantization scale appropriate for Retina displays · Issue #2697 · matplotlib/matplotlib

X Title: Path snapping does not respect quantization scale appropriate for Retina displays · Issue #2697 · matplotlib/matplotlib

Description: Here's a toy version of something I'm working on: import numpy as np, pylab as pl N = M = 10 n = 1000 a = (np.random.standard_normal((n,N,M)) + 1j * np.random.standard_normal((n,N,M))) * .5**.5 b = np.linalg.svd(a) pl.clf() for i in xran...

Open Graph Description: Here's a toy version of something I'm working on: import numpy as np, pylab as pl N = M = 10 n = 1000 a = (np.random.standard_normal((n,N,M)) + 1j * np.random.standard_normal((n,N,M))) * .5**.5 b =...

X Description: Here's a toy version of something I'm working on: import numpy as np, pylab as pl N = M = 10 n = 1000 a = (np.random.standard_normal((n,N,M)) + 1j * np.random.standard_normal((n,N,M))) * .5...

Opengraph URL: https://github.com/matplotlib/matplotlib/issues/2697

X: @github

direct link

Domain: github.com


Hey, it has json ld scripts:
{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"Path snapping does not respect quantization scale appropriate for Retina displays","articleBody":"Here's a toy version of something I'm working on:\n\n\u003cpre\u003eimport numpy as np, pylab as pl\nN = M = 10\nn = 1000\na = (np.random.standard_normal((n,N,M)) + 1j * np.random.standard_normal((n,N,M))) * .5**.5\nb = np.linalg.svd(a)\npl.clf()\nfor i in xrange(b[1].shape[1]):\n    _=pl.hist(b[1][:,i], bins=100, histtype='step', normed=True)\n\u003c/pre\u003e\n\n\nIf you run this with the macosx backend on a Retina display and carefully resize the window, you will find that the path snapping algorithm is snapping to the nearest two-pixel boundary, rather than the intended behavior of snapping to the nearest one-pixel boundary.\n\nI speculate that this is also an issue with marker placement and hatching.\n\nTwo solutions are apparent.\n\nOne is for the macosx backend to do a little dance of rescaling the transform matrices before and after passing paths through the path iterator.  This seems like a pain and not very portable.  I believe that the other backends will be growing high-DPI flavors soon!  [edit: just took a look and it seems like only the macosx backend uses the PathCleanupIterator.  Is that correct?]\n\nThe other solution is for the path iterator to take the image magnification factor as an argument, and thread this through the code to the actual path snapper.\n\nIncidentally, we might consider renaming the image magnification factor since it matters for vectors too.\n","author":{"url":"https://github.com/piannucci","@type":"Person","name":"piannucci"},"datePublished":"2013-12-28T00:04:06.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":3},"url":"https://github.com/2697/matplotlib/issues/2697"}

route-pattern/_view_fragments/issues/show/:user_id/:repository/:id/issue_layout(.:format)
route-controllervoltron_issues_fragments
route-actionissue_layout
fetch-noncev2:f60ce6cf-c038-8fad-1422-394eb1e6e89b
current-catalog-service-hash81bb79d38c15960b92d99bca9288a9108c7a47b18f2423d0f6438c5b7bcd2114
request-idDD82:34B0DF:9EDE5:D22B0:6A52EA5D
html-safe-nonceeb03866b4e3353755cee94436bb130d596b4abe827b522b3501414facfd5060e
visitor-payloadeyJyZWZlcnJlciI6IiIsInJlcXVlc3RfaWQiOiJERDgyOjM0QjBERjo5RURFNTpEMjJCMDo2QTUyRUE1RCIsInZpc2l0b3JfaWQiOiI3MTkwMjYxNzkzNDc4MDc3MDIxIiwicmVnaW9uX2VkZ2UiOiJpYWQiLCJyZWdpb25fcmVuZGVyIjoiaWFkIn0=
visitor-hmacf6c1f2e573fa486e8d3b5cfce4ade2fb1616a64ed1f4461e06c1e103f3cd19d3
hovercard-subject-tagissue:24837778
github-keyboard-shortcutsrepository,issues,copilot
google-site-verificationApib7-x98H0j5cPqHWwSMm6dNU4GmODRoqxLiDzdx9I
octolytics-urlhttps://collector.github.com/github/collect
analytics-location///voltron/issues_fragments/issue_layout
fb:app_id1401488693436528
apple-itunes-appapp-id=1477376905, app-argument=https://github.com/_view_fragments/issues/show/matplotlib/matplotlib/2697/issue_layout
twitter:imagehttps://opengraph.githubassets.com/d71aff6f1f8aa514f3eb77c96b4b11fe9e09beb06621101f35d116798315d55c/matplotlib/matplotlib/issues/2697
twitter:cardsummary_large_image
og:imagehttps://opengraph.githubassets.com/d71aff6f1f8aa514f3eb77c96b4b11fe9e09beb06621101f35d116798315d55c/matplotlib/matplotlib/issues/2697
og:image:altHere's a toy version of something I'm working on: import numpy as np, pylab as pl N = M = 10 n = 1000 a = (np.random.standard_normal((n,N,M)) + 1j * np.random.standard_normal((n,N,M))) * .5**.5 b =...
og:image:width1200
og:image:height600
og:site_nameGitHub
og:typeobject
og:author:usernamepiannucci
hostnamegithub.com
expected-hostnamegithub.com
Noneb9a586c06a05a7a86fc7e3f4dbd03e42f6869085879aa184aa6369456dbd50fb
turbo-cache-controlno-preview
go-importgithub.com/matplotlib/matplotlib git https://github.com/matplotlib/matplotlib.git
octolytics-dimension-user_id215947
octolytics-dimension-user_loginmatplotlib
octolytics-dimension-repository_id1385122
octolytics-dimension-repository_nwomatplotlib/matplotlib
octolytics-dimension-repository_publictrue
octolytics-dimension-repository_is_forkfalse
octolytics-dimension-repository_network_root_id1385122
octolytics-dimension-repository_network_root_nwomatplotlib/matplotlib
turbo-body-classeslogged-out env-production page-responsive
disable-turbofalse
browser-stats-urlhttps://api.github.com/_private/browser/stats
browser-errors-urlhttps://api.github.com/_private/browser/errors
release07a982c1d40157c619b364352b704c3ce66bb332
ui-targetfull
theme-color#1e2327
color-schemelight dark

Links:

Skip to contenthttps://github.com/matplotlib/matplotlib/issues/2697#start-of-content
https://github.com/
Sign in https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fmatplotlib%2Fmatplotlib%2Fissues%2F2697
GitHub CopilotWrite better code with AIhttps://github.com/features/copilot
GitHub Copilot appDirect agents from issue to mergehttps://github.com/features/ai/github-app
MCP RegistryNewIntegrate external toolshttps://github.com/mcp
ActionsAutomate any workflowhttps://github.com/features/actions
CodespacesInstant dev environmentshttps://github.com/features/codespaces
IssuesPlan and track workhttps://github.com/features/issues
Code ReviewManage code changeshttps://github.com/features/code-review
GitHub Advanced SecurityFind and fix vulnerabilitieshttps://github.com/security/advanced-security
Code securitySecure your code as you buildhttps://github.com/security/advanced-security/code-security
Secret protectionStop leaks before they starthttps://github.com/security/advanced-security/secret-protection
Why GitHubhttps://github.com/why-github
Documentationhttps://docs.github.com
Bloghttps://github.blog
Changeloghttps://github.blog/changelog
Marketplacehttps://github.com/marketplace
View all featureshttps://github.com/features
Enterpriseshttps://github.com/enterprise
Small and medium teamshttps://github.com/team
Startupshttps://github.com/enterprise/startups
Nonprofitshttps://github.com/solutions/industry/nonprofits
App Modernizationhttps://github.com/solutions/use-case/app-modernization
DevSecOpshttps://github.com/solutions/use-case/devsecops
DevOpshttps://github.com/solutions/use-case/devops
CI/CDhttps://github.com/solutions/use-case/ci-cd
View all use caseshttps://github.com/solutions/use-case
Healthcarehttps://github.com/solutions/industry/healthcare
Financial serviceshttps://github.com/solutions/industry/financial-services
Manufacturinghttps://github.com/solutions/industry/manufacturing
Governmenthttps://github.com/solutions/industry/government
View all industrieshttps://github.com/solutions/industry
View all solutionshttps://github.com/solutions
AIhttps://github.com/resources/articles?topic=ai
Software Developmenthttps://github.com/resources/articles?topic=software-development
DevOpshttps://github.com/resources/articles?topic=devops
Securityhttps://github.com/resources/articles?topic=security
View all topicshttps://github.com/resources/articles
Customer storieshttps://github.com/customer-stories
Events & webinarshttps://github.com/resources/events
Ebooks & reportshttps://github.com/resources/whitepapers
Business insightshttps://github.com/solutions/executive-insights
GitHub Skillshttps://skills.github.com
Documentationhttps://docs.github.com
Customer supporthttps://support.github.com
Community forumhttps://github.com/orgs/community/discussions
Trust centerhttps://github.com/trust-center
Partnershttps://github.com/partners
View all resourceshttps://github.com/resources
GitHub SponsorsFund open source developershttps://github.com/open-source/sponsors
Security Labhttps://securitylab.github.com
Maintainer Communityhttps://maintainers.github.com
Acceleratorhttps://github.com/open-source/accelerator
GitHub Starshttps://stars.github.com
Archive Programhttps://archiveprogram.github.com
Topicshttps://github.com/topics
Trendinghttps://github.com/trending
Collectionshttps://github.com/collections
Enterprise platformAI-powered developer platformhttps://github.com/enterprise
GitHub Advanced SecurityEnterprise-grade security featureshttps://github.com/security/advanced-security
Copilot for BusinessEnterprise-grade AI featureshttps://github.com/features/copilot/copilot-business
Premium SupportEnterprise-grade 24/7 supporthttps://github.com/enterprise/premium-support
Pricinghttps://github.com/pricing
Search syntax tipshttps://docs.github.com/search-github/github-code-search/understanding-github-code-search-syntax
documentationhttps://docs.github.com/search-github/github-code-search/understanding-github-code-search-syntax
Sign in https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fmatplotlib%2Fmatplotlib%2Fissues%2F2697
Sign up https://github.com/signup?ref_cta=Sign+up&ref_loc=header+logged+out&ref_page=%2F%3Cuser-name%3E%2F%3Crepo-name%3E%2Fvoltron%2Fissues_fragments%2Fissue_layout&source=header-repo&source_repo=matplotlib%2Fmatplotlib
Reloadhttps://github.com/matplotlib/matplotlib/issues/2697
Reloadhttps://github.com/matplotlib/matplotlib/issues/2697
Reloadhttps://github.com/matplotlib/matplotlib/issues/2697
Please reload this pagehttps://github.com/matplotlib/matplotlib/issues/2697
matplotlib https://github.com/matplotlib
matplotlibhttps://github.com/matplotlib/matplotlib
Please reload this pagehttps://github.com/matplotlib/matplotlib/issues/2697
Notifications https://github.com/login?return_to=%2Fmatplotlib%2Fmatplotlib
Fork 8.4k https://github.com/login?return_to=%2Fmatplotlib%2Fmatplotlib
Star 23k https://github.com/login?return_to=%2Fmatplotlib%2Fmatplotlib
Code https://github.com/matplotlib/matplotlib
Issues 1.1k https://github.com/matplotlib/matplotlib/issues
Pull requests 408 https://github.com/matplotlib/matplotlib/pulls
Actions https://github.com/matplotlib/matplotlib/actions
Projects https://github.com/matplotlib/matplotlib/projects
Wiki https://github.com/matplotlib/matplotlib/wiki
Security and quality 0 https://github.com/matplotlib/matplotlib/security
Insights https://github.com/matplotlib/matplotlib/pulse
Code https://github.com/matplotlib/matplotlib
Issues https://github.com/matplotlib/matplotlib/issues
Pull requests https://github.com/matplotlib/matplotlib/pulls
Actions https://github.com/matplotlib/matplotlib/actions
Projects https://github.com/matplotlib/matplotlib/projects
Wiki https://github.com/matplotlib/matplotlib/wiki
Security and quality https://github.com/matplotlib/matplotlib/security
Insights https://github.com/matplotlib/matplotlib/pulse
Path snapping does not respect quantization scale appropriate for Retina displayshttps://github.com/matplotlib/matplotlib/issues/2697#top
OS: Applehttps://github.com/matplotlib/matplotlib/issues?q=state%3Aopen%20label%3A%22OS%3A%20Apple%22
v2.0.0https://github.com/matplotlib/matplotlib/milestone/14
https://github.com/piannucci
piannuccihttps://github.com/piannucci
on Dec 28, 2013https://github.com/matplotlib/matplotlib/issues/2697#issue-24837778
OS: Applehttps://github.com/matplotlib/matplotlib/issues?q=state%3Aopen%20label%3A%22OS%3A%20Apple%22
v2.0.0https://github.com/matplotlib/matplotlib/milestone/14
https://github.com
Termshttps://docs.github.com/site-policy/github-terms/github-terms-of-service
Privacyhttps://docs.github.com/site-policy/privacy-policies/github-privacy-statement
Securityhttps://github.com/security
Statushttps://www.githubstatus.com/
Communityhttps://github.community/
Docshttps://docs.github.com/
Contacthttps://support.github.com?tags=dotcom-footer

Viewport: width=device-width


URLs of crawlers that visited me.