{"author":null,"author_email":"Chris P ","bugtrack_url":null,"classifiers":["Development Status :: 5 - Production/Stable","License :: OSI Approved :: MIT License","Programming Language :: Python :: 3.10","Programming Language :: Python :: 3.11","Programming Language :: Python :: 3.12","Programming Language :: Python :: 3.13","Programming Language :: Python :: 3.8","Programming Language :: Python :: 3.9","Topic :: Scientific/Engineering :: Visualization"],"description":"# plotly.py\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n

Latest Release	\n \n \n
User forum	\n \n \n
PyPI Downloads	\n \n \n
License	\n \n \n

\n\n

\n \n $\"Maintained$ \n \n

\n\n## Quickstart\n\n`pip install plotly`\n\n```python\nimport plotly.express as px\nfig = px.bar(x=[\"a\", \"b\", \"c\"], y=[1, 3, 2])\nfig.show()\n```\n\nSee the [Python documentation](https://plotly.com/python/) for more examples.\n\n## Overview\n\n[plotly.py](https://plotly.com/python/) is an interactive, open-source, and browser-based graphing library for Python :sparkles:\n\nBuilt on top of [plotly.js](https://github.com/plotly/plotly.js), `plotly.py` is a high-level, declarative charting library. plotly.js ships with over 30 chart types, including scientific charts, 3D graphs, statistical charts, SVG maps, financial charts, and more.\n\n`plotly.py` is [MIT Licensed](https://github.com/plotly/plotly.py/blob/main/LICENSE.txt). Plotly graphs can be viewed in Jupyter notebooks, standalone HTML files, or integrated into [Dash applications](https://dash.plotly.com/).\n\n[Contact us](https://plotly.com/consulting-and-oem/) for consulting, dashboard development, application integration, and feature additions.\n\n

\n \n \n

\n\n---\n\n- [Online Documentation](https://plotly.com/python/)\n- [Contributing to plotly](https://github.com/plotly/plotly.py/blob/main/CONTRIBUTING.md)\n- [Changelog](https://github.com/plotly/plotly.py/blob/main/CHANGELOG.md)\n- [Code of Conduct](https://github.com/plotly/plotly.py/blob/main/CODE_OF_CONDUCT.md)\n- [Community forum](https://community.plotly.com)\n\n---\n\n## Installation\n\nplotly.py may be installed using pip\n\n```\npip install plotly\n```\n\nor conda.\n\n```\nconda install -c conda-forge plotly\n```\n\n### Jupyter Widget Support\n\nFor use as a Jupyter widget, install `jupyter` and `anywidget`\npackages using `pip`:\n\n```\npip install jupyter anywidget\n```\n\nor `conda`:\n\n```\nconda install jupyter anywidget\n```\n\n### Static Image Export\n\nplotly.py supports [static image export](https://plotly.com/python/static-image-export/),\nusing either the [`kaleido`](https://github.com/plotly/Kaleido)\npackage (recommended, supported as of `plotly` version 4.9) or the [orca](https://github.com/plotly/orca)\ncommand line utility (legacy as of `plotly` version 4.9).\n\n#### Kaleido\n\nThe [`kaleido`](https://github.com/plotly/Kaleido) package has no dependencies and can be installed\nusing pip\n\n```\npip install -U kaleido\n```\n\nor conda\n\n```\nconda install -c conda-forge python-kaleido\n```\n\n### Extended Geo Support\n\nSome plotly.py features rely on fairly large geographic shape files. The county\nchoropleth figure factory is one such example. These shape files are distributed as a\nseparate `plotly-geo` package. This package can be installed using pip...\n\n```\npip install plotly-geo==1.0.0\n```\n\nor conda\n\n```\nconda install -c plotly plotly-geo=1.0.0\n```\n\n`plotly-geo` can be found on Github at https://github.com/plotly/plotly-geo.\n\n## Copyright and Licenses\n\nCode and documentation copyright 2019 Plotly, Inc.\n\nCode released under the [MIT license](https://github.com/plotly/plotly.py/blob/main/LICENSE.txt).\n\nDocs released under the [Creative Commons license](https://github.com/plotly/documentation/blob/source/LICENSE).\n\n","description_content_type":"text/markdown","docs_url":null,"download_url":null,"downloads":{"last_day":-1,"last_month":-1,"last_week":-1},"dynamic":["License-File"],"home_page":null,"keywords":null,"license":"MIT License\n \n Copyright (c) 2016-2024 Plotly Technologies Inc.\n \n Permission is hereby granted, free of charge, to any person obtaining a copy\n of this software and associated documentation files (the \"Software\"), to deal\n in the Software without restriction, including without limitation the rights\n to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n copies of the Software, and to permit persons to whom the Software is\n furnished to do so, subject to the following conditions:\n \n The above copyright notice and this permission notice shall be included in\n all copies or substantial portions of the Software.\n \n THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n THE SOFTWARE.\n ","license_expression":null,"license_files":["LICENSE.txt"],"maintainer":null,"maintainer_email":"Martha Cryan , Emily Kellison-Linn ","name":"plotly","package_url":"https://pypi.org/project/plotly/","platform":null,"project_url":"https://pypi.org/project/plotly/","project_urls":{"Changelog":"https://github.com/plotly/plotly.py/blob/main/CHANGELOG.md","Documentation":"https://plotly.com/python/","Github":"https://github.com/plotly/plotly.py","HomePage":"https://plotly.com/python/"},"provides_extra":["express","kaleido","dev"],"release_url":"https://pypi.org/project/plotly/6.1.1/","requires_dist":["narwhals>=1.15.1","packaging","numpy; extra == \"express\"","kaleido==1.0.0rc13; extra == \"kaleido\"","black==25.1.0; extra == \"dev\""],"requires_python":">=3.8","summary":"An open-source interactive data visualization library for Python","version":"6.1.1","yanked":false,"yanked_reason":null}

Dependencies of plotly (5).
Dependency	Optional
narwhals	false
packaging	false
black	true
kaleido	true
numpy	true

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