Title: Add asinh axis scaling (*smooth* symmetric logscale) by rwpenney · Pull Request #21178 · matplotlib/matplotlib · GitHub
Open Graph Title: Add asinh axis scaling (*smooth* symmetric logscale) by rwpenney · Pull Request #21178 · matplotlib/matplotlib
X Title: Add asinh axis scaling (*smooth* symmetric logscale) by rwpenney · Pull Request #21178 · matplotlib/matplotlib
Description: matplotlib: plotting with Python. Contribute to matplotlib/matplotlib development by creating an account on GitHub.
Open Graph Description: Summary When plotting quantities that span many orders of magnitude, it is standard practice to apply log-scaling, and Matplotlib already provides the symlog scaling which allows log-scaling to be ...
X Description: Summary When plotting quantities that span many orders of magnitude, it is standard practice to apply log-scaling, and Matplotlib already provides the symlog scaling which allows log-scaling to be ...
Opengraph URL: https://github.com/matplotlib/matplotlib/pull/21178
X: @github
Domain: github.com
| route-pattern | /:user_id/:repository/pull/:id/commits(.:format) |
| route-controller | pull_requests |
| route-action | commits |
| fetch-nonce | v2:e9c63894-2eaf-97cb-4478-6ceea542e10a |
| current-catalog-service-hash | ae870bc5e265a340912cde392f23dad3671a0a881730ffdadd82f2f57d81641b |
| request-id | 9824:3847EE:ACE6D6:F9B6BB:6A578F5A |
| html-safe-nonce | 6847fecc3f12c411d1e185f94f415ca240a74a8422e27331dd8020b925c640c9 |
| visitor-payload | eyJyZWZlcnJlciI6IiIsInJlcXVlc3RfaWQiOiI5ODI0OjM4NDdFRTpBQ0U2RDY6RjlCNkJCOjZBNTc4RjVBIiwidmlzaXRvcl9pZCI6IjYyMTA4MTQ3MTM3NDE2NzYzNzgiLCJyZWdpb25fZWRnZSI6ImlhZCIsInJlZ2lvbl9yZW5kZXIiOiJpYWQifQ== |
| visitor-hmac | f4c63d7f63362f50acdf31bbb179f16cf53f1cbbce9039907d08147f16f1cc27 |
| hovercard-subject-tag | pull_request:742835907 |
| github-keyboard-shortcuts | repository,pull-request-list,pull-request-conversation,pull-request-files-changed,copilot |
| google-site-verification | Apib7-x98H0j5cPqHWwSMm6dNU4GmODRoqxLiDzdx9I |
| octolytics-url | https://collector.github.com/github/collect |
| analytics-location | / |
| fb:app_id | 1401488693436528 |
| apple-itunes-app | app-id=1477376905, app-argument=https://github.com/matplotlib/matplotlib/pull/21178/commits |
| twitter:image | https://opengraph.githubassets.com/62ec30e4719e077d85c65767d5d4e5de655800e713e3d198eb6788e33850a368/matplotlib/matplotlib/pull/21178 |
| twitter:card | summary_large_image |
| og:image | https://opengraph.githubassets.com/62ec30e4719e077d85c65767d5d4e5de655800e713e3d198eb6788e33850a368/matplotlib/matplotlib/pull/21178 |
| og:image:alt | Summary When plotting quantities that span many orders of magnitude, it is standard practice to apply log-scaling, and Matplotlib already provides the symlog scaling which allows log-scaling to be ... |
| og:image:width | 1200 |
| og:image:height | 600 |
| og:site_name | GitHub |
| og:type | object |
| og:author:username | rwpenney |
| hostname | github.com |
| expected-hostname | github.com |
| None | a87fc68e9bdf22e1c7e48ac6a60b98882f4bb103314b3f26b3460c61fc5441ae |
| turbo-cache-control | no-cache |
| go-import | github.com/matplotlib/matplotlib git https://github.com/matplotlib/matplotlib.git |
| octolytics-dimension-user_id | 215947 |
| octolytics-dimension-user_login | matplotlib |
| octolytics-dimension-repository_id | 1385122 |
| octolytics-dimension-repository_nwo | matplotlib/matplotlib |
| octolytics-dimension-repository_public | true |
| octolytics-dimension-repository_is_fork | false |
| octolytics-dimension-repository_network_root_id | 1385122 |
| octolytics-dimension-repository_network_root_nwo | matplotlib/matplotlib |
| turbo-body-classes | logged-out env-production page-responsive |
| disable-turbo | false |
| browser-stats-url | https://api.github.com/_private/browser/stats |
| browser-errors-url | https://api.github.com/_private/browser/errors |
| release | a2198d0212ed703af207673eb4d0868d4f867a5b |
| ui-target | full |
| theme-color | #1e2327 |
| color-scheme | light dark |
Links:
Viewport: width=device-width