bokeh

所属分类:其他
开发工具:Python
文件大小:0KB
下载次数:0
上传日期:2023-07-06 17:23:47
上 传 者sh-1993
说明:  浏览器中的交互式数据可视化,来自Python,
(Interactive Data Visualization in the browser, from Python,)

文件列表:
.flake8 (499, 2022-11-14)
.lgtm.yml (649, 2022-11-14)
.pre-commit-config.yaml (1915, 2022-11-14)
LICENSE.txt (1494, 2022-11-14)
MANIFEST.in (492, 2022-11-14)
bokehjs/ (0, 2022-11-14)
bokehjs/.npmignore (3, 2022-11-14)
bokehjs/CHANGELOG.md (147, 2022-11-14)
bokehjs/CONTRIBUTING.md (120, 2022-11-14)
bokehjs/LICENSE (1929, 2022-11-14)
bokehjs/eslint.json (4267, 2022-11-14)
bokehjs/examples/ (0, 2022-11-14)
bokehjs/examples/anscombe/ (0, 2022-11-14)
bokehjs/examples/anscombe/.npmignore (13, 2022-11-14)
bokehjs/examples/anscombe/anscombe.html (250, 2022-11-14)
bokehjs/examples/anscombe/anscombe.ts (2874, 2022-11-14)
... ...

Bokeh logo -- text is white in dark theme and black in light theme ---- [Bokeh](https://bokeh.org) is aninteractive visualizationlibrary for modern web browsers. It provides elegant, conciseconstructionof versatile graphics and affords high-performance interactivity across large or streaming datasets.Bokeh can help anyone who wants to create interactive plots, dashboards, and data applications quickly and easily.
Package Latest package version Supported Python versions Bokeh license (BSD 3-clause)
Project Github contributors Link to NumFOCUS Link to documentation
Downloads PyPI downloads per month Conda downloads per month NPM downloads per month
Build Current Bokeh-CI github actions build status Current BokehJS-CI github actions build status Codecov coverage percentage
Community Community support on discourse.bokeh.org Bokeh-tagged questions on Stack Overflow Follow Bokeh on Twitter
*Consider [making a donation](https://opencollective.com/bokeh) if you enjoy using Bokeh and want to support its development.* ![4x9 image grid of Bokeh plots](https://user-images.githubusercontent.com/1078448/190840954-dc243c99-9295-44de-88e9-fafd0f4f7f8a.jpg) ## Installation To install Bokeh and its required dependencies using `pip`, enter the following command at a Bash or Windows command prompt: ``` pip install bokeh ``` To install `conda`, enter the following command at a Bash or Windows command prompt: ``` conda install bokeh ``` Refer to the [installation documentation](https://docs.bokeh.org/en/latest/docs/first_steps/installation.html) for more details. ## Resources Once Bokeh is installed, check out the [first steps guides](https://docs.bokeh.org/en/latest/docs/first_steps.html#first-steps-guides). Visit the [full documentation site](https://docs.bokeh.org) to view the [User's Guide](https://docs.bokeh.org/en/latest/docs/user_guide.html) or [launch the Bokeh tutorial](https://mybinder.org/v2/gh/bokeh/bokeh-notebooks/HEAD?labpath=index.ipynb) to learn about Bokeh in live Jupyter Notebooks. Community support is available on the [Project Discourse](https://discourse.bokeh.org). If you would like to contribute to Bokeh, please review the [Contributor Guide](https://docs.bokeh.org/en/latest/docs/dev_guide.html) and [request an invitation to the Bokeh Dev Slack workspace](https://slack-invite.bokeh.org/). *Note: Everyone who engages in the Bokeh project's discussion forums, codebases, and issue trackers is expected to follow the [Code of Conduct](https://github.com/bokeh/bokeh/blob/branch-3.0/docs/CODE_OF_CONDUCT.md).* ## Follow us Follow us on Twitter [@bokeh](https://twitter.com/bokeh) ## Support ### Fiscal Support The Bokeh project is grateful for [individual contributions](https://opencollective.com/bokeh), as well as for monetary support from the organizations and companies listed below:
NumFocus Logo CZI Logo Blackstone Logo
TideLift Logo Anaconda Logo NVidia Logo Rapids Logo
If your company uses Bokeh and is able to sponsor the project, please contact info@bokeh.org *Bokeh is a Sponsored Project of NumFOCUS, a 501(c)(3) nonprofit charity in the United States. NumFOCUS provides Bokeh with fiscal, legal, and administrative support to help ensure the health and sustainability of the project. Visit [numfocus.org](https://numfocus.org) for more information.* *Donations to Bokeh are managed by NumFOCUS. For donors in the United States, your gift is tax-deductible to the extent provided by law. As with any donation, you should consult with your tax adviser about your particular tax situation.* ### In-kind Support Non-monetary support can help with development, collaboration, infrastructure, security, and vulnerability management. The Bokeh project is grateful to the following companies for their donation of services: * [Amazon Web Services](https://aws.amazon.com/) * [GitGuardian](https://gitguardian.com/) * [GitHub](https://github.com/) * [makepath](https://makepath.com/) * [Pingdom](https://www.pingdom.com/website-monitoring) * [Slack](https://slack.com) * [QuestionScout](https://www.questionscout.com/) * [1Password](https://1password.com/)

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