René's URL Explorer Experiment


Title: [Bug]: Irregular pixel widths in rasterized pcolor · Issue #23391 · matplotlib/matplotlib · GitHub

Open Graph Title: [Bug]: Irregular pixel widths in rasterized pcolor · Issue #23391 · matplotlib/matplotlib

X Title: [Bug]: Irregular pixel widths in rasterized pcolor · Issue #23391 · matplotlib/matplotlib

Description: Bug summary Pixel widths appear irregularly in pcolor(x, y, z, rasterized=True), while x and y are regular. Using rasterized=False provides correct (equal size) pixels, but saving the figure to .png (instead of .pdf) will show the same i...

Open Graph Description: Bug summary Pixel widths appear irregularly in pcolor(x, y, z, rasterized=True), while x and y are regular. Using rasterized=False provides correct (equal size) pixels, but saving the figure to .pn...

X Description: Bug summary Pixel widths appear irregularly in pcolor(x, y, z, rasterized=True), while x and y are regular. Using rasterized=False provides correct (equal size) pixels, but saving the figure to .pn...

Opengraph URL: https://github.com/matplotlib/matplotlib/issues/23391

X: @github

direct link

Domain: github.com


Hey, it has json ld scripts:
{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"[Bug]: Irregular pixel widths in rasterized pcolor","articleBody":"### Bug summary\n\nPixel widths appear irregularly in `pcolor(x, y, z, rasterized=True)`, while `x` and `y` are regular. Using `rasterized=False` provides correct (equal size) pixels, but saving the figure to `.png` (instead of `.pdf`) will show the same irregular pixel width bug.\r\n\r\nIt looks like a resampling bug, which messes up precise data visualization completely.\n\n### Code for reproduction\n\n```python\nimport numpy as np\r\nimport matplotlib.pyplot as plt\r\nx, y = np.meshgrid(range(500), range(2))\r\nz = [np.tile([0,1],250), np.tile([0,1],250)]\r\nfig, ax = plt.subplots(1,1, figsize=(10,2))\r\nim = ax.pcolor(x, y, z, rasterized=True)\r\nax.set_xticks(np.arange(0,40))\r\nfig.savefig('test.pdf')\r\nplt.show()\n```\n\n\n### Actual outcome\n\nIn the resulting plot, some pixels are thinner, and some are thicker, than they should be. \r\n`rasterize=True` (zoom-in to the lower left corner)\r\n![grafik](https://user-images.githubusercontent.com/7942719/177547093-64eb91af-1345-4be1-a04c-e99bd7ccfd49.png)\r\n\n\n### Expected outcome\n\n`rasterize=False` (zoom-in to the lower left corner)\r\n![grafik](https://user-images.githubusercontent.com/7942719/177547007-82796b90-1863-4370-8718-0a1c744b3119.png)\r\n\n\n### Additional information\n\n- This behaviour depends on the number of pixels plotted, for me it becomes visible above `len(x)\u003e100`.\r\n- The spread between thicker and thinner lines increases with increasing size of the input array.\r\n- If the view is reduced to a lower number of pixels (e.g., `ax.set_xlim(0,10)`), the effect is no longer visible.\n\n### Operating system\n\nWindows\n\n### Matplotlib Version\n\n3.5.1\n\n### Matplotlib Backend\n\ninline\n\n### Python version\n\n3.9.6\n\n### Jupyter version\n\n_No response_\n\n### Installation\n\npip","author":{"url":"https://github.com/mschroen","@type":"Person","name":"mschroen"},"datePublished":"2022-07-06T12:22:00.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":5},"url":"https://github.com/23391/matplotlib/issues/23391"}

route-pattern/_view_fragments/issues/show/:user_id/:repository/:id/issue_layout(.:format)
route-controllervoltron_issues_fragments
route-actionissue_layout
fetch-noncev2:9e87e4e6-0525-12e2-11de-87140cedcb93
current-catalog-service-hash81bb79d38c15960b92d99bca9288a9108c7a47b18f2423d0f6438c5b7bcd2114
request-idB1EC:3B799C:2B7EA4:2C1995:6A514019
html-safe-noncee6aa71248f3057897049fcffe078c34ed2711ea3be854e895219a70074344e9e
visitor-payloadeyJyZWZlcnJlciI6IiIsInJlcXVlc3RfaWQiOiJCMUVDOjNCNzk5QzoyQjdFQTQ6MkMxOTk1OjZBNTE0MDE5IiwidmlzaXRvcl9pZCI6Ijg4ODg3NDEzNDgzNzY2NTc5NDUiLCJyZWdpb25fZWRnZSI6InNlYSIsInJlZ2lvbl9yZW5kZXIiOiJzZWEifQ==
visitor-hmacec47bf2746ca403befa88a9cb0db51d9fc275cbdf25dd1667721a6ff4fbdd341
hovercard-subject-tagissue:1295759925
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/23391/issue_layout
twitter:imagehttps://opengraph.githubassets.com/870032026b21373e6d81a04ab481296afa2d5b4658c09f84a9da80607e3d39aa/matplotlib/matplotlib/issues/23391
twitter:cardsummary_large_image
og:imagehttps://opengraph.githubassets.com/870032026b21373e6d81a04ab481296afa2d5b4658c09f84a9da80607e3d39aa/matplotlib/matplotlib/issues/23391
og:image:altBug summary Pixel widths appear irregularly in pcolor(x, y, z, rasterized=True), while x and y are regular. Using rasterized=False provides correct (equal size) pixels, but saving the figure to .pn...
og:image:width1200
og:image:height600
og:site_nameGitHub
og:typeobject
og:author:usernamemschroen
hostnamegithub.com
expected-hostnamegithub.com
Nonee840f405b2718e8f2d55aafa9ff27dbce17e29d0c253011d05ea0fea3c78baff
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
releasee876f00c5723f6080b9d294e4958fd4d506e6faf
ui-targetfull
theme-color#1e2327
color-schemelight dark

Links:

Skip to contenthttps://github.com/matplotlib/matplotlib/issues/23391#start-of-content
https://github.com/
Sign in https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fmatplotlib%2Fmatplotlib%2Fissues%2F23391
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%2F23391
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/23391
Reloadhttps://github.com/matplotlib/matplotlib/issues/23391
Reloadhttps://github.com/matplotlib/matplotlib/issues/23391
Please reload this pagehttps://github.com/matplotlib/matplotlib/issues/23391
matplotlib https://github.com/matplotlib
matplotlibhttps://github.com/matplotlib/matplotlib
Please reload this pagehttps://github.com/matplotlib/matplotlib/issues/23391
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 410 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
[Bug]: Irregular pixel widths in rasterized pcolorhttps://github.com/matplotlib/matplotlib/issues/23391#top
status: duplicatehttps://github.com/matplotlib/matplotlib/issues?q=state%3Aopen%20label%3A%22status%3A%20duplicate%22
https://github.com/mschroen
mschroenhttps://github.com/mschroen
on Jul 6, 2022https://github.com/matplotlib/matplotlib/issues/23391#issue-1295759925
https://user-images.githubusercontent.com/7942719/177547093-64eb91af-1345-4be1-a04c-e99bd7ccfd49.png
https://user-images.githubusercontent.com/7942719/177547007-82796b90-1863-4370-8718-0a1c744b3119.png
status: duplicatehttps://github.com/matplotlib/matplotlib/issues?q=state%3Aopen%20label%3A%22status%3A%20duplicate%22
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.