# Lets-Plot
[![official JetBrains project](http://jb.gg/badges/official-flat-square.svg)](https://confluence.jetbrains.com/display/ALL/JetBrains+on+GitHub)
[![License MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://raw.githubusercontent.com/JetBrains/lets-plot-kotlin/master/LICENSE)
[![Latest Release](https://img.shields.io/github/v/release/JetBrains/lets-plot)](https://github.com/JetBrains/lets-plot/releases/latest)
**Lets-Plot** is a multiplatform plotting library built on the principles of the Grammar of Graphics.
The library' design is heavily influenced by Leland Wilkinson work [The Grammar of Graphics](https://www.goodreads.com/book/show/2549408.The_Grammar_of_Graphics) describing the deep features that underlie all statistical graphics.
> This grammar [...] is made up of a set of independent components that can be composed in many different ways. This makes [it] very powerful because you are not limited to a set of pre-specified graphics, but you can create new graphics that are precisely tailored for your problem.
> - Hadley Wickham, "[ggplot2: Elegant Graphics for Data Analysis](https://ggplot2-book.org/index.html)"
## Grammar of Graphics for Python [![Latest Release](https://badge.fury.io/py/lets-plot.svg)](https://pypi.org/project/lets-plot)
A bridge between R (ggplot2) and Python data visualization. \
To learn more see the documentation site at **[lets-plot.org](https://lets-plot.org)**.
## Grammar of Graphics for Kotlin [![Latest Release](https://img.shields.io/github/v/release/JetBrains/lets-plot-kotlin)](https://github.com/JetBrains/lets-plot-kotlin/releases/latest)
### Notebooks
Create plots in [Kotlin Notebook](https://plugins.jetbrains.com/plugin/16340-kotlin-notebook),
[Datalore](https://datalore.jetbrains.com/report/static/HZqq77cegYd.E7get_WnChZ/aTA9lQnPkRwdCzT6uy95GZ), [Jupyter with Kotlin Kernel](https://github.com/Kotlin/kotlin-jupyter#readme) \
or any other notebook that supports `Kotlin Kernel`. \
To learn more see the **[Lets-Plot Kotlin API](https://github.com/JetBrains/lets-plot-kotlin)** project at GitHub.
### Compose Multiplatform
Embed Lets-Plot charts in [Compose Multiplatform](https://github.com/JetBrains/compose-multiplatform) applications. \
To learn more see the **[Lets-Plot Skia Frontend](https://github.com/JetBrains/lets-plot-skia)** project at GitHub.
### JVM and Kotlin/JS
Embed Lets-Plot charts in JVM (Swing, JavaFX) and Kotlin/JS applications. <br>
To learn more see the **[Lets-Plot Kotlin API](https://github.com/JetBrains/lets-plot-kotlin)** project at GitHub.
## "Lets-Plot in SciView" plugin
[![JetBrains Plugins](https://img.shields.io/jetbrains/plugin/v/14379-lets-plot-in-sciview.svg)](http://plugins.jetbrains.com/plugin/14379-lets-plot-in-sciview)
[![JetBrains plugins](https://img.shields.io/jetbrains/plugin/d/14379-lets-plot-in-sciview.svg)](http://plugins.jetbrains.com/plugin/14379-lets-plot-in-sciview)
*Scientific mode* in PyCharm and in IntelliJ IDEA provides support for interactive scientific computing and data visualization.
[*Lets-Plot in SciView*](https://plugins.jetbrains.com/plugin/14379-lets-plot-in-sciview) plugin adds
support for interactive plotting to IntelliJ-based IDEs with the *Scientific mode* enabled.
>
> **Note:** The *Scientific mode* is NOT available in communinty editions of JetBrains IDEs.
>
Also read:
- [Scientific mode in PyCharm](https://www.jetbrains.com/help/pycharm/matplotlib-support.html)
- [Scientific mode in IntelliJ IDEA](https://www.jetbrains.com/help/idea/matplotlib-support.html)
## What is new in 4.5.0
- #### Panning and Zooming
<img src="https://raw.githubusercontent.com/JetBrains/lets-plot/master/docs/f-24g/images/ggtb.png" alt="f-24g/images/ggtb.png" width="300" height="134">
See [example notebook](https://nbviewer.org/github/JetBrains/lets-plot/blob/master/docs/f-24g/interact_pan_zoom.ipynb).
- #### Clickable Links
<img src="https://raw.githubusercontent.com/JetBrains/lets-plot/master/docs/f-24g/images/lp_verse.png" alt="f-24g/images/lp_verse.png" width="400" height="270">
See [example notebook](https://nbviewer.org/github/JetBrains/lets-plot/blob/master/docs/f-24g/interactive_links.ipynb).
- #### LaTeX Support: Subscript, Superscript, Greek Letters and Special Characters
<img src="https://raw.githubusercontent.com/JetBrains/lets-plot/master/docs/f-24g/images/latex.png" alt="f-24g/images/latex.png" width="300" height="227">
See [example notebook](https://nbviewer.org/github/JetBrains/lets-plot/blob/master/docs/f-24g/latex_support.ipynb).
> [!CAUTION]
> Subscripts and superscripts are not supported in PDF and PNG exports.
- #### Compact Scientific Notation Formatting
<img src="https://raw.githubusercontent.com/JetBrains/lets-plot/master/docs/f-24g/images/compact_exp.png" alt="f-24g/images/compact_exp.png" width="400" height="174">
See [example notebook](https://nbviewer.org/github/JetBrains/lets-plot/blob/master/docs/f-24g/superscript_exponent.ipynb).
> [!CAUTION]
> `pow` and `pow_full` options are not supported in PDF and PNG exports.
- #### QQ-Plot: Marginal Distributions
<img src="https://raw.githubusercontent.com/JetBrains/lets-plot/master/docs/f-24g/images/gg_marins.png" alt="f-24g/images/gg_marins.png" width="400" height="249">
See [example notebook](https://nbviewer.org/github/JetBrains/lets-plot/blob/master/docs/f-24g/qq_plot_marginal.ipynb).
- #### More Theme Settings
<img src="https://raw.githubusercontent.com/JetBrains/lets-plot/master/docs/f-24g/images/theme_legend_scheme.png" alt="f-24g/images/theme_legend_scheme.png" width="400" height="320">
See examples: [legend margins](https://nbviewer.org/github/JetBrains/lets-plot/blob/master/docs/f-24g/theme_legend_margins.ipynb),
[legend key](https://nbviewer.org/github/JetBrains/lets-plot/blob/master/docs/f-24g/theme_legend_key.ipynb),
[facet strip](https://nbviewer.org/github/JetBrains/lets-plot/blob/master/docs/f-24g/theme_facet_strip_xy.ipynb).
- #### And More
See [CHANGELOG.md](https://github.com/JetBrains/lets-plot/blob/master/CHANGELOG.md) for a full list of changes.
## Recent Updates in the [Gallery](https://lets-plot.org/python/pages/gallery.html)
<a href="https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/demo/us_unemployment.ipynb">
<img src="https://raw.githubusercontent.com/JetBrains/lets-plot/master/docs/f-24e/images/us_unemployment.png" alt="f-24e/images/us_unemployment.png" width="128" height="128">
</a>
<a href="https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/demo/venn_diagram.ipynb">
<img src="https://raw.githubusercontent.com/JetBrains/lets-plot/master/docs/f-24b/images/gal_venn_diagram.png" alt="f-24b/images/gal_venn_diagram.png" width="128" height="128">
</a>
<a href="https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/geom_spoke.ipynb">
<img src="https://raw.githubusercontent.com/JetBrains/lets-plot/master/docs/f-24b/images/gal_spoke.png" alt="f-24b/images/gal_spoke.png" width="128" height="128">
</a>
<a href="https://www.kaggle.com/code/alshan/indonesia-volcanoes-on-map">
<img src="https://raw.githubusercontent.com/JetBrains/lets-plot/master/docs/f-24b/images/gal_indonesia_volcanoes_on_map.png" alt="f-24b/images/gal_indonesia_volcanoes_on_map.png" width="128" height="128">
</a>
<a href="https://www.kaggle.com/code/alshan/japanese-volcanoes-on-map">
<img src="https://raw.githubusercontent.com/JetBrains/lets-plot/master/docs/f-24b/images/gal_japanese_volcanoes_on_map.png" alt="f-24b/images/gal_japanese_volcanoes_on_map.png" width="128" height="128">
</a>
<a href="https://nextjournal.com/asmirnov-horis/bbc-visual-and-data-journalism-cookbook-for-lets-plot">
<img src="https://raw.githubusercontent.com/JetBrains/lets-plot/master/docs/f-24a/images/gal_bbc_cookbook.png" alt="f-24a/images/gal_bbc_cookbook.png" width="128" height="128">
</a>
<a href="https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/demo/palmer_penguins.ipynb">
<img src="https://raw.githubusercontent.com/JetBrains/lets-plot/master/docs/f-24a/images/gal_penguins.png" alt="f-24a/images/gal_penguins.png" width="128" height="128">
</a>
<a href="https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/demo/periodic_table.ipynb">
<img src="https://raw.githubusercontent.com/JetBrains/lets-plot/master/docs/f-24a/images/gal_periodic_table.png" alt="f-24a/images/gal_periodic_table.png" width="128" height="128">
</a>
<a href="https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/demo/wind_rose.ipynb">
<img src="https://raw.githubusercontent.com/JetBrains/lets-plot/master/docs/f-24a/images/gal_wind_rose.png" alt="f-24a/images/gal_wind_rose.png" width="128" height="128">
</a>
<a href="https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/demo/heatmap_in_polar_coord.ipynb">
<img src="https://raw.githubusercontent.com/JetBrains/lets-plot/master/docs/f-24a/images/gal_polar_heatmap.png" alt="f-24a/images/gal_polar_heatmap.png" width="128" height="128">
</a>
## Change Log
[CHANGELOG.md](https://github.com/JetBrains/lets-plot/blob/master/CHANGELOG.md)
## Code of Conduct
This project and the corresponding community are governed by the
[JetBrains Open Source and Community Code of Conduct](https://confluence.jetbrains.com/display/ALL/JetBrains+Open+Source+and+Community+Code+of+Conduct).
Please make sure you read it.
## License
Code and documentation released under the [MIT license](https://github.com/JetBrains/lets-plot/blob/master/LICENSE).
Copyright © 2019-2024, JetBrains s.r.o.
Raw data
{
"_id": null,
"home_page": "https://lets-plot.org",
"name": "lets-plot",
"maintainer": "JetBrains",
"docs_url": null,
"requires_python": null,
"maintainer_email": "lets-plot@jetbrains.com",
"keywords": "ggplot, ggplot2, geospatial, geopandas, geocoding",
"author": "JetBrains",
"author_email": "lets-plot@jetbrains.com",
"download_url": null,
"platform": null,
"description": "# Lets-Plot\n\n[![official JetBrains project](http://jb.gg/badges/official-flat-square.svg)](https://confluence.jetbrains.com/display/ALL/JetBrains+on+GitHub)\n[![License MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://raw.githubusercontent.com/JetBrains/lets-plot-kotlin/master/LICENSE)\n[![Latest Release](https://img.shields.io/github/v/release/JetBrains/lets-plot)](https://github.com/JetBrains/lets-plot/releases/latest)\n\n\n**Lets-Plot** is a multiplatform plotting library built on the principles of the Grammar of Graphics. \n\nThe library' design is heavily influenced by Leland Wilkinson work [The Grammar of Graphics](https://www.goodreads.com/book/show/2549408.The_Grammar_of_Graphics) describing the deep features that underlie all statistical graphics.\n\n> This grammar [...] is made up of a set of independent components that can be composed in many different ways. This makes [it] very powerful because you are not limited to a set of pre-specified graphics, but you can create new graphics that are precisely tailored for your problem.\n> - Hadley Wickham, \"[ggplot2: Elegant Graphics for Data Analysis](https://ggplot2-book.org/index.html)\"\n\n\n## Grammar of Graphics for Python [![Latest Release](https://badge.fury.io/py/lets-plot.svg)](https://pypi.org/project/lets-plot)\n\nA bridge between R (ggplot2) and Python data visualization. \\\nTo learn more see the documentation site at **[lets-plot.org](https://lets-plot.org)**. \n\n\n## Grammar of Graphics for Kotlin [![Latest Release](https://img.shields.io/github/v/release/JetBrains/lets-plot-kotlin)](https://github.com/JetBrains/lets-plot-kotlin/releases/latest)\n\n### Notebooks\nCreate plots in [Kotlin Notebook](https://plugins.jetbrains.com/plugin/16340-kotlin-notebook),\n[Datalore](https://datalore.jetbrains.com/report/static/HZqq77cegYd.E7get_WnChZ/aTA9lQnPkRwdCzT6uy95GZ), [Jupyter with Kotlin Kernel](https://github.com/Kotlin/kotlin-jupyter#readme) \\\nor any other notebook that supports `Kotlin Kernel`. \\\nTo learn more see the **[Lets-Plot Kotlin API](https://github.com/JetBrains/lets-plot-kotlin)** project at GitHub.\n\n### Compose Multiplatform\nEmbed Lets-Plot charts in [Compose Multiplatform](https://github.com/JetBrains/compose-multiplatform) applications. \\\nTo learn more see the **[Lets-Plot Skia Frontend](https://github.com/JetBrains/lets-plot-skia)** project at GitHub.\n\n### JVM and Kotlin/JS\nEmbed Lets-Plot charts in JVM (Swing, JavaFX) and Kotlin/JS applications. <br>\nTo learn more see the **[Lets-Plot Kotlin API](https://github.com/JetBrains/lets-plot-kotlin)** project at GitHub.\n\n## \"Lets-Plot in SciView\" plugin\n\n[![JetBrains Plugins](https://img.shields.io/jetbrains/plugin/v/14379-lets-plot-in-sciview.svg)](http://plugins.jetbrains.com/plugin/14379-lets-plot-in-sciview)\n[![JetBrains plugins](https://img.shields.io/jetbrains/plugin/d/14379-lets-plot-in-sciview.svg)](http://plugins.jetbrains.com/plugin/14379-lets-plot-in-sciview)\n\n*Scientific mode* in PyCharm and in IntelliJ IDEA provides support for interactive scientific computing and data visualization.\n\n[*Lets-Plot in SciView*](https://plugins.jetbrains.com/plugin/14379-lets-plot-in-sciview) plugin adds \nsupport for interactive plotting to IntelliJ-based IDEs with the *Scientific mode* enabled.\n \n>\n> **Note:** The *Scientific mode* is NOT available in communinty editions of JetBrains IDEs. \n>\n\nAlso read:\n\n- [Scientific mode in PyCharm](https://www.jetbrains.com/help/pycharm/matplotlib-support.html)\n- [Scientific mode in IntelliJ IDEA](https://www.jetbrains.com/help/idea/matplotlib-support.html)\n\n## What is new in 4.5.0\n\n- #### Panning and Zooming\n <img src=\"https://raw.githubusercontent.com/JetBrains/lets-plot/master/docs/f-24g/images/ggtb.png\" alt=\"f-24g/images/ggtb.png\" width=\"300\" height=\"134\">\n \n See [example notebook](https://nbviewer.org/github/JetBrains/lets-plot/blob/master/docs/f-24g/interact_pan_zoom.ipynb).\n\n- #### Clickable Links\n <img src=\"https://raw.githubusercontent.com/JetBrains/lets-plot/master/docs/f-24g/images/lp_verse.png\" alt=\"f-24g/images/lp_verse.png\" width=\"400\" height=\"270\">\n\n See [example notebook](https://nbviewer.org/github/JetBrains/lets-plot/blob/master/docs/f-24g/interactive_links.ipynb).\n\n- #### LaTeX Support: Subscript, Superscript, Greek Letters and Special Characters \n <img src=\"https://raw.githubusercontent.com/JetBrains/lets-plot/master/docs/f-24g/images/latex.png\" alt=\"f-24g/images/latex.png\" width=\"300\" height=\"227\">\n\n See [example notebook](https://nbviewer.org/github/JetBrains/lets-plot/blob/master/docs/f-24g/latex_support.ipynb).\n\n> [!CAUTION] \n> Subscripts and superscripts are not supported in PDF and PNG exports.\n\n- #### Compact Scientific Notation Formatting\n <img src=\"https://raw.githubusercontent.com/JetBrains/lets-plot/master/docs/f-24g/images/compact_exp.png\" alt=\"f-24g/images/compact_exp.png\" width=\"400\" height=\"174\">\n \n See [example notebook](https://nbviewer.org/github/JetBrains/lets-plot/blob/master/docs/f-24g/superscript_exponent.ipynb).\n\n> [!CAUTION] \n> `pow` and `pow_full` options are not supported in PDF and PNG exports. \n\n- #### QQ-Plot: Marginal Distributions\n <img src=\"https://raw.githubusercontent.com/JetBrains/lets-plot/master/docs/f-24g/images/gg_marins.png\" alt=\"f-24g/images/gg_marins.png\" width=\"400\" height=\"249\">\n\n See [example notebook](https://nbviewer.org/github/JetBrains/lets-plot/blob/master/docs/f-24g/qq_plot_marginal.ipynb).\n\n- #### More Theme Settings\n <img src=\"https://raw.githubusercontent.com/JetBrains/lets-plot/master/docs/f-24g/images/theme_legend_scheme.png\" alt=\"f-24g/images/theme_legend_scheme.png\" width=\"400\" height=\"320\">\n\n See examples: [legend margins](https://nbviewer.org/github/JetBrains/lets-plot/blob/master/docs/f-24g/theme_legend_margins.ipynb),\n [legend key](https://nbviewer.org/github/JetBrains/lets-plot/blob/master/docs/f-24g/theme_legend_key.ipynb),\n [facet strip](https://nbviewer.org/github/JetBrains/lets-plot/blob/master/docs/f-24g/theme_facet_strip_xy.ipynb).\n\n\n- #### And More\n\n See [CHANGELOG.md](https://github.com/JetBrains/lets-plot/blob/master/CHANGELOG.md) for a full list of changes.\n\n\n## Recent Updates in the [Gallery](https://lets-plot.org/python/pages/gallery.html)\n\n <a href=\"https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/demo/us_unemployment.ipynb\">\n <img src=\"https://raw.githubusercontent.com/JetBrains/lets-plot/master/docs/f-24e/images/us_unemployment.png\" alt=\"f-24e/images/us_unemployment.png\" width=\"128\" height=\"128\">\n </a>\n <a href=\"https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/demo/venn_diagram.ipynb\">\n <img src=\"https://raw.githubusercontent.com/JetBrains/lets-plot/master/docs/f-24b/images/gal_venn_diagram.png\" alt=\"f-24b/images/gal_venn_diagram.png\" width=\"128\" height=\"128\">\n </a>\n <a href=\"https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/cookbook/geom_spoke.ipynb\">\n <img src=\"https://raw.githubusercontent.com/JetBrains/lets-plot/master/docs/f-24b/images/gal_spoke.png\" alt=\"f-24b/images/gal_spoke.png\" width=\"128\" height=\"128\">\n </a>\n <a href=\"https://www.kaggle.com/code/alshan/indonesia-volcanoes-on-map\">\n <img src=\"https://raw.githubusercontent.com/JetBrains/lets-plot/master/docs/f-24b/images/gal_indonesia_volcanoes_on_map.png\" alt=\"f-24b/images/gal_indonesia_volcanoes_on_map.png\" width=\"128\" height=\"128\">\n </a>\n <a href=\"https://www.kaggle.com/code/alshan/japanese-volcanoes-on-map\">\n <img src=\"https://raw.githubusercontent.com/JetBrains/lets-plot/master/docs/f-24b/images/gal_japanese_volcanoes_on_map.png\" alt=\"f-24b/images/gal_japanese_volcanoes_on_map.png\" width=\"128\" height=\"128\">\n </a>\n <a href=\"https://nextjournal.com/asmirnov-horis/bbc-visual-and-data-journalism-cookbook-for-lets-plot\">\n <img src=\"https://raw.githubusercontent.com/JetBrains/lets-plot/master/docs/f-24a/images/gal_bbc_cookbook.png\" alt=\"f-24a/images/gal_bbc_cookbook.png\" width=\"128\" height=\"128\">\n </a>\n <a href=\"https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/demo/palmer_penguins.ipynb\">\n <img src=\"https://raw.githubusercontent.com/JetBrains/lets-plot/master/docs/f-24a/images/gal_penguins.png\" alt=\"f-24a/images/gal_penguins.png\" width=\"128\" height=\"128\">\n </a>\n <a href=\"https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/demo/periodic_table.ipynb\">\n <img src=\"https://raw.githubusercontent.com/JetBrains/lets-plot/master/docs/f-24a/images/gal_periodic_table.png\" alt=\"f-24a/images/gal_periodic_table.png\" width=\"128\" height=\"128\">\n </a>\n <a href=\"https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/demo/wind_rose.ipynb\">\n <img src=\"https://raw.githubusercontent.com/JetBrains/lets-plot/master/docs/f-24a/images/gal_wind_rose.png\" alt=\"f-24a/images/gal_wind_rose.png\" width=\"128\" height=\"128\">\n </a>\n <a href=\"https://nbviewer.org/github/JetBrains/lets-plot-docs/blob/master/source/examples/demo/heatmap_in_polar_coord.ipynb\">\n <img src=\"https://raw.githubusercontent.com/JetBrains/lets-plot/master/docs/f-24a/images/gal_polar_heatmap.png\" alt=\"f-24a/images/gal_polar_heatmap.png\" width=\"128\" height=\"128\">\n </a>\n\n## Change Log\n\n[CHANGELOG.md](https://github.com/JetBrains/lets-plot/blob/master/CHANGELOG.md)\n\n\n## Code of Conduct\n\nThis project and the corresponding community are governed by the\n[JetBrains Open Source and Community Code of Conduct](https://confluence.jetbrains.com/display/ALL/JetBrains+Open+Source+and+Community+Code+of+Conduct).\nPlease make sure you read it.\n\n\n## License\n\nCode and documentation released under the [MIT license](https://github.com/JetBrains/lets-plot/blob/master/LICENSE).\nCopyright \u00a9 2019-2024, JetBrains s.r.o.\n",
"bugtrack_url": null,
"license": "MIT",
"summary": "An open source library for statistical plotting",
"version": "4.5.2",
"project_urls": {
"Documentation": "https://lets-plot.org",
"Github": "https://github.com/JetBrains/lets-plot",
"Homepage": "https://lets-plot.org"
},
"split_keywords": [
"ggplot",
" ggplot2",
" geospatial",
" geopandas",
" geocoding"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "abd974616e950b7d79a9e8b2769011b289f7f50ef529c575a3f32ab040a9e386",
"md5": "c8d5de1cdf5c1ee9f0251c6befbe68b5",
"sha256": "34b3cc5c74ae23c8c3c6a5b6d0b42f147a53ddb76e2f83eeec3c8f7ac283e2e9"
},
"downloads": -1,
"filename": "lets_plot-4.5.2-cp310-cp310-macosx_10_9_x86_64.whl",
"has_sig": false,
"md5_digest": "c8d5de1cdf5c1ee9f0251c6befbe68b5",
"packagetype": "bdist_wheel",
"python_version": "cp310",
"requires_python": null,
"size": 3247355,
"upload_time": "2024-12-13T18:21:39",
"upload_time_iso_8601": "2024-12-13T18:21:39.657359Z",
"url": "https://files.pythonhosted.org/packages/ab/d9/74616e950b7d79a9e8b2769011b289f7f50ef529c575a3f32ab040a9e386/lets_plot-4.5.2-cp310-cp310-macosx_10_9_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "e934fbb605cf40e77a35e84f0623c16b571ac1d000ca59f731ea34ffb3ded8da",
"md5": "bf02f2c887c90af99eb0f8d8916727c8",
"sha256": "077fd74969a97beecd2d8f338ab4dadd630aa1cf4099d3814b1926cd571c9971"
},
"downloads": -1,
"filename": "lets_plot-4.5.2-cp310-cp310-macosx_11_0_arm64.whl",
"has_sig": false,
"md5_digest": "bf02f2c887c90af99eb0f8d8916727c8",
"packagetype": "bdist_wheel",
"python_version": "cp310",
"requires_python": null,
"size": 3208541,
"upload_time": "2024-12-13T18:21:19",
"upload_time_iso_8601": "2024-12-13T18:21:19.922748Z",
"url": "https://files.pythonhosted.org/packages/e9/34/fbb605cf40e77a35e84f0623c16b571ac1d000ca59f731ea34ffb3ded8da/lets_plot-4.5.2-cp310-cp310-macosx_11_0_arm64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "96a36e434d3197db2a82576f9ea309c45fbfbe33d80149652b056169c80a6935",
"md5": "9ac40b1732d62f6906f6fe9b457e0748",
"sha256": "0dcea3d987c83b7b75235645b6a126327e25aee7dc2a10ba880211566a435b61"
},
"downloads": -1,
"filename": "lets_plot-4.5.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl",
"has_sig": false,
"md5_digest": "9ac40b1732d62f6906f6fe9b457e0748",
"packagetype": "bdist_wheel",
"python_version": "cp310",
"requires_python": null,
"size": 3354977,
"upload_time": "2024-12-13T18:20:52",
"upload_time_iso_8601": "2024-12-13T18:20:52.469493Z",
"url": "https://files.pythonhosted.org/packages/96/a3/6e434d3197db2a82576f9ea309c45fbfbe33d80149652b056169c80a6935/lets_plot-4.5.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "0f9b5a3da3a641ed1c0a62f8a022f37b711c8566b905f9800696707cff2e9154",
"md5": "bd376f4420c1140e28ee83550498455e",
"sha256": "65356342718efc676337b529ad41bc5dfc0b31dafd9252ce777a9a0356ba86e4"
},
"downloads": -1,
"filename": "lets_plot-4.5.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
"has_sig": false,
"md5_digest": "bd376f4420c1140e28ee83550498455e",
"packagetype": "bdist_wheel",
"python_version": "cp310",
"requires_python": null,
"size": 3400352,
"upload_time": "2024-12-13T18:22:10",
"upload_time_iso_8601": "2024-12-13T18:22:10.292489Z",
"url": "https://files.pythonhosted.org/packages/0f/9b/5a3da3a641ed1c0a62f8a022f37b711c8566b905f9800696707cff2e9154/lets_plot-4.5.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "b2d87ac7fd964aa71c734f8c43fa95bb44d3ea77aa0c9e7c2b7f6351955132b2",
"md5": "2f5b891bd8cf88c93496c275bc6ddb45",
"sha256": "87283c537777f1a5b4a5efafa39af7e4adbc0cbd6bf73be31d4abd786522f751"
},
"downloads": -1,
"filename": "lets_plot-4.5.2-cp310-cp310-win_amd64.whl",
"has_sig": false,
"md5_digest": "2f5b891bd8cf88c93496c275bc6ddb45",
"packagetype": "bdist_wheel",
"python_version": "cp310",
"requires_python": null,
"size": 3114749,
"upload_time": "2024-12-13T18:21:26",
"upload_time_iso_8601": "2024-12-13T18:21:26.386909Z",
"url": "https://files.pythonhosted.org/packages/b2/d8/7ac7fd964aa71c734f8c43fa95bb44d3ea77aa0c9e7c2b7f6351955132b2/lets_plot-4.5.2-cp310-cp310-win_amd64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "cd2102775d4e6e7be99f61b691ee611ea3bac4ce147c7af46a3049cc2b0bc36e",
"md5": "f7c36aaebf3885e93c80baf21485509b",
"sha256": "f49cd08e594f68545fe7c60313cfe7e056730d07281df3036933073f714993ea"
},
"downloads": -1,
"filename": "lets_plot-4.5.2-cp311-cp311-macosx_10_9_x86_64.whl",
"has_sig": false,
"md5_digest": "f7c36aaebf3885e93c80baf21485509b",
"packagetype": "bdist_wheel",
"python_version": "cp311",
"requires_python": null,
"size": 3247354,
"upload_time": "2024-12-13T18:20:59",
"upload_time_iso_8601": "2024-12-13T18:20:59.027953Z",
"url": "https://files.pythonhosted.org/packages/cd/21/02775d4e6e7be99f61b691ee611ea3bac4ce147c7af46a3049cc2b0bc36e/lets_plot-4.5.2-cp311-cp311-macosx_10_9_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "a369bcc432ffbc501b62dffa6a0948a54d832cfbbfbaa9fd8759e88ebc65aab6",
"md5": "fbde30309f191e46f7c8780992d15290",
"sha256": "299391b41cf3c4ce4836debaf31b31f00e8c2c28bad1b1dbd1fe0f910e126ba0"
},
"downloads": -1,
"filename": "lets_plot-4.5.2-cp311-cp311-macosx_11_0_arm64.whl",
"has_sig": false,
"md5_digest": "fbde30309f191e46f7c8780992d15290",
"packagetype": "bdist_wheel",
"python_version": "cp311",
"requires_python": null,
"size": 3208541,
"upload_time": "2024-12-13T18:21:48",
"upload_time_iso_8601": "2024-12-13T18:21:48.998948Z",
"url": "https://files.pythonhosted.org/packages/a3/69/bcc432ffbc501b62dffa6a0948a54d832cfbbfbaa9fd8759e88ebc65aab6/lets_plot-4.5.2-cp311-cp311-macosx_11_0_arm64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "3d90aea523bf42175bf37bba6056c3162c92cd6c1b03ab6744f6184600914006",
"md5": "cc854a82df65cbdbc213ec763cc8f563",
"sha256": "863ded0c8f5afa88bc3cfa40a778a424f48769f1bd24b610b7f7acc77bc3a195"
},
"downloads": -1,
"filename": "lets_plot-4.5.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl",
"has_sig": false,
"md5_digest": "cc854a82df65cbdbc213ec763cc8f563",
"packagetype": "bdist_wheel",
"python_version": "cp311",
"requires_python": null,
"size": 3354992,
"upload_time": "2024-12-13T18:22:04",
"upload_time_iso_8601": "2024-12-13T18:22:04.225789Z",
"url": "https://files.pythonhosted.org/packages/3d/90/aea523bf42175bf37bba6056c3162c92cd6c1b03ab6744f6184600914006/lets_plot-4.5.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "195bb9a4144a0526db0b2a70439ae66c0775aeae10d630538d4ea94d82df0b47",
"md5": "26447b3d41b7b4bd378e0b5f1d154444",
"sha256": "1bc0a4ba72402a6b33fe04c31af0b4c3a109a686a5868bdc4924dc96cc48fcec"
},
"downloads": -1,
"filename": "lets_plot-4.5.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
"has_sig": false,
"md5_digest": "26447b3d41b7b4bd378e0b5f1d154444",
"packagetype": "bdist_wheel",
"python_version": "cp311",
"requires_python": null,
"size": 3400378,
"upload_time": "2024-12-13T18:21:52",
"upload_time_iso_8601": "2024-12-13T18:21:52.856286Z",
"url": "https://files.pythonhosted.org/packages/19/5b/b9a4144a0526db0b2a70439ae66c0775aeae10d630538d4ea94d82df0b47/lets_plot-4.5.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "305da118994f71088ac6efd186b4163817694e433efab4cbb78d68d74c1e0983",
"md5": "6926761fc146d70a7ecfb129fcab30a3",
"sha256": "48ac358d64720d97c0076c578e07e519ce397feba4f400de82c1af8ff03cec41"
},
"downloads": -1,
"filename": "lets_plot-4.5.2-cp311-cp311-win_amd64.whl",
"has_sig": false,
"md5_digest": "6926761fc146d70a7ecfb129fcab30a3",
"packagetype": "bdist_wheel",
"python_version": "cp311",
"requires_python": null,
"size": 3114778,
"upload_time": "2024-12-13T18:21:11",
"upload_time_iso_8601": "2024-12-13T18:21:11.022605Z",
"url": "https://files.pythonhosted.org/packages/30/5d/a118994f71088ac6efd186b4163817694e433efab4cbb78d68d74c1e0983/lets_plot-4.5.2-cp311-cp311-win_amd64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "716e791176429594d6443c99abeaf1688f9f5164bec7fefe78de307b78b97800",
"md5": "040b4e3aa2e39345088f58f8e141aaca",
"sha256": "6a050057f1d89d9a81f01986ad76ef9cd23d73f18bf5d4f5622203f03dbe4b86"
},
"downloads": -1,
"filename": "lets_plot-4.5.2-cp312-cp312-macosx_10_9_x86_64.whl",
"has_sig": false,
"md5_digest": "040b4e3aa2e39345088f58f8e141aaca",
"packagetype": "bdist_wheel",
"python_version": "cp312",
"requires_python": null,
"size": 3247157,
"upload_time": "2024-12-13T18:20:55",
"upload_time_iso_8601": "2024-12-13T18:20:55.991065Z",
"url": "https://files.pythonhosted.org/packages/71/6e/791176429594d6443c99abeaf1688f9f5164bec7fefe78de307b78b97800/lets_plot-4.5.2-cp312-cp312-macosx_10_9_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "f6573f64c62eb4ec0631d23c5130129350c00257345b11a0729fef99fa844c8f",
"md5": "83c1abce10eaa8e0c866b84628426842",
"sha256": "75aa39b102699648a8b108eacbd17fdadcaf2bf19b52f748091e8c38b45fb5f8"
},
"downloads": -1,
"filename": "lets_plot-4.5.2-cp312-cp312-macosx_11_0_arm64.whl",
"has_sig": false,
"md5_digest": "83c1abce10eaa8e0c866b84628426842",
"packagetype": "bdist_wheel",
"python_version": "cp312",
"requires_python": null,
"size": 3208424,
"upload_time": "2024-12-13T18:22:07",
"upload_time_iso_8601": "2024-12-13T18:22:07.291722Z",
"url": "https://files.pythonhosted.org/packages/f6/57/3f64c62eb4ec0631d23c5130129350c00257345b11a0729fef99fa844c8f/lets_plot-4.5.2-cp312-cp312-macosx_11_0_arm64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "c22436d3db606d5bc0b7c811df9d28746c03c44c7ed182699cfb86b6af605a96",
"md5": "1ff879bb8aa9255a1154cf0dd65e7a64",
"sha256": "ce773cf20357294594186d6ab25cf12feef32103f81479e89fff15984239a008"
},
"downloads": -1,
"filename": "lets_plot-4.5.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl",
"has_sig": false,
"md5_digest": "1ff879bb8aa9255a1154cf0dd65e7a64",
"packagetype": "bdist_wheel",
"python_version": "cp312",
"requires_python": null,
"size": 3355193,
"upload_time": "2024-12-13T18:21:47",
"upload_time_iso_8601": "2024-12-13T18:21:47.359962Z",
"url": "https://files.pythonhosted.org/packages/c2/24/36d3db606d5bc0b7c811df9d28746c03c44c7ed182699cfb86b6af605a96/lets_plot-4.5.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "8c0c71942f05a2d65939f1572168e77d61240eddf7050c961d8e2c7214f48002",
"md5": "6666ac69008ff043b23819f75f1b8baa",
"sha256": "3d231713a4672e1c6227217e93663582f7cc195d4548e6156484f88fcb5a2da8"
},
"downloads": -1,
"filename": "lets_plot-4.5.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
"has_sig": false,
"md5_digest": "6666ac69008ff043b23819f75f1b8baa",
"packagetype": "bdist_wheel",
"python_version": "cp312",
"requires_python": null,
"size": 3400644,
"upload_time": "2024-12-13T18:21:24",
"upload_time_iso_8601": "2024-12-13T18:21:24.756023Z",
"url": "https://files.pythonhosted.org/packages/8c/0c/71942f05a2d65939f1572168e77d61240eddf7050c961d8e2c7214f48002/lets_plot-4.5.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "72567cfb3926cd6f17f9453c2e2dc6b649a27ba240ff59b99fadc42abe06b806",
"md5": "507468b15c3c1a27e478ee6eafdfc696",
"sha256": "94d072efb7367b8db1897e50e847b86e898ec41bd8b699ae6241bdfacd868f91"
},
"downloads": -1,
"filename": "lets_plot-4.5.2-cp312-cp312-win_amd64.whl",
"has_sig": false,
"md5_digest": "507468b15c3c1a27e478ee6eafdfc696",
"packagetype": "bdist_wheel",
"python_version": "cp312",
"requires_python": null,
"size": 3114865,
"upload_time": "2024-12-13T18:21:08",
"upload_time_iso_8601": "2024-12-13T18:21:08.109520Z",
"url": "https://files.pythonhosted.org/packages/72/56/7cfb3926cd6f17f9453c2e2dc6b649a27ba240ff59b99fadc42abe06b806/lets_plot-4.5.2-cp312-cp312-win_amd64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "5760215423592541788fab7bedc7826652cd1b1d2090708efd4f1413f3ef70cd",
"md5": "065ab4cfc13edf147476fdb5170f1cb1",
"sha256": "c19cc973742bcbe2edb0a18d3019388793c3a2020d38ddd2b1ed66a8ac11746f"
},
"downloads": -1,
"filename": "lets_plot-4.5.2-cp313-cp313-macosx_10_15_x86_64.whl",
"has_sig": false,
"md5_digest": "065ab4cfc13edf147476fdb5170f1cb1",
"packagetype": "bdist_wheel",
"python_version": "cp313",
"requires_python": null,
"size": 3246972,
"upload_time": "2024-12-13T18:21:16",
"upload_time_iso_8601": "2024-12-13T18:21:16.822156Z",
"url": "https://files.pythonhosted.org/packages/57/60/215423592541788fab7bedc7826652cd1b1d2090708efd4f1413f3ef70cd/lets_plot-4.5.2-cp313-cp313-macosx_10_15_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "b121fe8bbd833663eb5b6d7cc5257e27b263af75fc7badb2516f57f8f0c1d2f9",
"md5": "9c724d5ca0ce2924f6ae3aa6ab7312a6",
"sha256": "373bac36207cbbd70e77b186c7d3b0c6054dc1f1fca1af4c1c56dba75aab04f5"
},
"downloads": -1,
"filename": "lets_plot-4.5.2-cp313-cp313-macosx_11_0_arm64.whl",
"has_sig": false,
"md5_digest": "9c724d5ca0ce2924f6ae3aa6ab7312a6",
"packagetype": "bdist_wheel",
"python_version": "cp313",
"requires_python": null,
"size": 3208424,
"upload_time": "2024-12-13T18:21:04",
"upload_time_iso_8601": "2024-12-13T18:21:04.916511Z",
"url": "https://files.pythonhosted.org/packages/b1/21/fe8bbd833663eb5b6d7cc5257e27b263af75fc7badb2516f57f8f0c1d2f9/lets_plot-4.5.2-cp313-cp313-macosx_11_0_arm64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "a552d5028b033e39a14b6d09071f55a2418e8a5bc923639ac725433dbe644460",
"md5": "d0b7790f1a8c5a37234659dba709d214",
"sha256": "a4234b274f15ece4ff1af102a436367664e281797e2e92cd4a1eebea621bcfa8"
},
"downloads": -1,
"filename": "lets_plot-4.5.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl",
"has_sig": false,
"md5_digest": "d0b7790f1a8c5a37234659dba709d214",
"packagetype": "bdist_wheel",
"python_version": "cp313",
"requires_python": null,
"size": 3355146,
"upload_time": "2024-12-13T18:21:13",
"upload_time_iso_8601": "2024-12-13T18:21:13.954274Z",
"url": "https://files.pythonhosted.org/packages/a5/52/d5028b033e39a14b6d09071f55a2418e8a5bc923639ac725433dbe644460/lets_plot-4.5.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "a5fcf1554440a3cf0049219d542007f726fee869c40e69c5f91b88a33b92acf9",
"md5": "3be158f89a9ba72408ff66bdb414f67a",
"sha256": "a307d36b125003cc3e31e9238de64ed36a0cc520486dfabeb486d1be7c0ee973"
},
"downloads": -1,
"filename": "lets_plot-4.5.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
"has_sig": false,
"md5_digest": "3be158f89a9ba72408ff66bdb414f67a",
"packagetype": "bdist_wheel",
"python_version": "cp313",
"requires_python": null,
"size": 3400593,
"upload_time": "2024-12-13T18:21:44",
"upload_time_iso_8601": "2024-12-13T18:21:44.334925Z",
"url": "https://files.pythonhosted.org/packages/a5/fc/f1554440a3cf0049219d542007f726fee869c40e69c5f91b88a33b92acf9/lets_plot-4.5.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "8e6bde52fe9273a81c27baa7471469f7223c963494826e2fdbc28bd9e8269430",
"md5": "a157c1ae422e8bab9eb16bbff7ed78c1",
"sha256": "60cf5eac23f2a2db7608f25942f9b82e4e55e7eea550510975687f1a3552e383"
},
"downloads": -1,
"filename": "lets_plot-4.5.2-cp313-cp313-win_amd64.whl",
"has_sig": false,
"md5_digest": "a157c1ae422e8bab9eb16bbff7ed78c1",
"packagetype": "bdist_wheel",
"python_version": "cp313",
"requires_python": null,
"size": 3114845,
"upload_time": "2024-12-13T18:21:42",
"upload_time_iso_8601": "2024-12-13T18:21:42.520578Z",
"url": "https://files.pythonhosted.org/packages/8e/6b/de52fe9273a81c27baa7471469f7223c963494826e2fdbc28bd9e8269430/lets_plot-4.5.2-cp313-cp313-win_amd64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "72177a65bc76a0e998d16ec9f71f5ccbc0a4049ac9195828bcfd59ed0b541ff7",
"md5": "5f8ccc036f64aaaf3c4b569a05cf2049",
"sha256": "89e4e3573c56bac69a7885ac86758c3f60a2bd3a410722c3b0b68b09a450ff73"
},
"downloads": -1,
"filename": "lets_plot-4.5.2-cp38-cp38-macosx_10_9_x86_64.whl",
"has_sig": false,
"md5_digest": "5f8ccc036f64aaaf3c4b569a05cf2049",
"packagetype": "bdist_wheel",
"python_version": "cp38",
"requires_python": null,
"size": 3247168,
"upload_time": "2024-12-13T18:22:02",
"upload_time_iso_8601": "2024-12-13T18:22:02.330087Z",
"url": "https://files.pythonhosted.org/packages/72/17/7a65bc76a0e998d16ec9f71f5ccbc0a4049ac9195828bcfd59ed0b541ff7/lets_plot-4.5.2-cp38-cp38-macosx_10_9_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "f87cc2e7cfbc4b306a490adb87ce99e3d46c932e5a6d5fa19d1e5eea1bf506b6",
"md5": "dce757af3266eb57e1133c4c0f7c207d",
"sha256": "2b04abcc1d8e05d7d1a01f3f319d6b5c50b5c37e58b9215ead736df6baa143a9"
},
"downloads": -1,
"filename": "lets_plot-4.5.2-cp38-cp38-macosx_11_0_arm64.whl",
"has_sig": false,
"md5_digest": "dce757af3266eb57e1133c4c0f7c207d",
"packagetype": "bdist_wheel",
"python_version": "cp38",
"requires_python": null,
"size": 3208511,
"upload_time": "2024-12-13T18:21:22",
"upload_time_iso_8601": "2024-12-13T18:21:22.912028Z",
"url": "https://files.pythonhosted.org/packages/f8/7c/c2e7cfbc4b306a490adb87ce99e3d46c932e5a6d5fa19d1e5eea1bf506b6/lets_plot-4.5.2-cp38-cp38-macosx_11_0_arm64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "af8f8cd907b33d0b06bf8cf6c8312643d2dee80123beb91a3b7afb593da2561c",
"md5": "39742f127f00ab4d4ba9e3a34bff0de3",
"sha256": "1dfce463e17c122e1d24985ef76bad6ce91df8d41003559f9dd4181fb3148e0b"
},
"downloads": -1,
"filename": "lets_plot-4.5.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl",
"has_sig": false,
"md5_digest": "39742f127f00ab4d4ba9e3a34bff0de3",
"packagetype": "bdist_wheel",
"python_version": "cp38",
"requires_python": null,
"size": 3355447,
"upload_time": "2024-12-13T18:21:29",
"upload_time_iso_8601": "2024-12-13T18:21:29.228415Z",
"url": "https://files.pythonhosted.org/packages/af/8f/8cd907b33d0b06bf8cf6c8312643d2dee80123beb91a3b7afb593da2561c/lets_plot-4.5.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "ef668bebe37c2ddd8538c69fbd64868275b697d2e58ac5c5f0da38bef4b4a0ce",
"md5": "f157a06216930264dd38f910bfc8bb9c",
"sha256": "14db9a9eef9fb903d75c6691ea4ee0e27c9c1c2dc8096b31fb176a31ce03ffe0"
},
"downloads": -1,
"filename": "lets_plot-4.5.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
"has_sig": false,
"md5_digest": "f157a06216930264dd38f910bfc8bb9c",
"packagetype": "bdist_wheel",
"python_version": "cp38",
"requires_python": null,
"size": 3400922,
"upload_time": "2024-12-13T18:21:02",
"upload_time_iso_8601": "2024-12-13T18:21:02.086546Z",
"url": "https://files.pythonhosted.org/packages/ef/66/8bebe37c2ddd8538c69fbd64868275b697d2e58ac5c5f0da38bef4b4a0ce/lets_plot-4.5.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "5c1584c8053ffd85ff4f32ba17e664341eff32bf14e4c91790db181088bd6cb9",
"md5": "ecbf7a0722ed044e0ff45662e924afb6",
"sha256": "8c9de3d8d873a3af2cf3a6eb2212b02f4f4aa203eaf9c5f6134e7823d3d600ea"
},
"downloads": -1,
"filename": "lets_plot-4.5.2-cp38-cp38-win_amd64.whl",
"has_sig": false,
"md5_digest": "ecbf7a0722ed044e0ff45662e924afb6",
"packagetype": "bdist_wheel",
"python_version": "cp38",
"requires_python": null,
"size": 3114906,
"upload_time": "2024-12-13T18:21:36",
"upload_time_iso_8601": "2024-12-13T18:21:36.885223Z",
"url": "https://files.pythonhosted.org/packages/5c/15/84c8053ffd85ff4f32ba17e664341eff32bf14e4c91790db181088bd6cb9/lets_plot-4.5.2-cp38-cp38-win_amd64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "75cc807aee83f0ef3f495dfe3a146675581efc99f52c5e2e97872bba7f61c150",
"md5": "8d0a7a2087b0bcafc3db3d016c1e4862",
"sha256": "56f9953a6ff2d9e96d24e3e8e4bf6eb59c49697b5d9b1c460e79a7ff4a138517"
},
"downloads": -1,
"filename": "lets_plot-4.5.2-cp39-cp39-macosx_10_9_x86_64.whl",
"has_sig": false,
"md5_digest": "8d0a7a2087b0bcafc3db3d016c1e4862",
"packagetype": "bdist_wheel",
"python_version": "cp39",
"requires_python": null,
"size": 3247349,
"upload_time": "2024-12-13T18:21:57",
"upload_time_iso_8601": "2024-12-13T18:21:57.716719Z",
"url": "https://files.pythonhosted.org/packages/75/cc/807aee83f0ef3f495dfe3a146675581efc99f52c5e2e97872bba7f61c150/lets_plot-4.5.2-cp39-cp39-macosx_10_9_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "cf506de9e59b24b50913aedc4fa916b37c3b9bff0707d675f0b2e17529afbf4c",
"md5": "efc9fb3305a80563478f4f294bbaa42c",
"sha256": "9aa6483595d8c6b82e7ac587beb4198210b2241880b860f43ecfebf2a981518a"
},
"downloads": -1,
"filename": "lets_plot-4.5.2-cp39-cp39-macosx_11_0_arm64.whl",
"has_sig": false,
"md5_digest": "efc9fb3305a80563478f4f294bbaa42c",
"packagetype": "bdist_wheel",
"python_version": "cp39",
"requires_python": null,
"size": 3208536,
"upload_time": "2024-12-13T18:21:32",
"upload_time_iso_8601": "2024-12-13T18:21:32.111190Z",
"url": "https://files.pythonhosted.org/packages/cf/50/6de9e59b24b50913aedc4fa916b37c3b9bff0707d675f0b2e17529afbf4c/lets_plot-4.5.2-cp39-cp39-macosx_11_0_arm64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "03d92ad1d87afdde157d5c63d37726c8ff57e00687ce8bf3792a2068d837d248",
"md5": "2947c74c29279e2c8b80247fdff7959b",
"sha256": "9837567b603e313b5db00de370258752298e2cbe9ac0b10739c1124c3b65ccf5"
},
"downloads": -1,
"filename": "lets_plot-4.5.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl",
"has_sig": false,
"md5_digest": "2947c74c29279e2c8b80247fdff7959b",
"packagetype": "bdist_wheel",
"python_version": "cp39",
"requires_python": null,
"size": 3354806,
"upload_time": "2024-12-13T18:21:51",
"upload_time_iso_8601": "2024-12-13T18:21:51.051737Z",
"url": "https://files.pythonhosted.org/packages/03/d9/2ad1d87afdde157d5c63d37726c8ff57e00687ce8bf3792a2068d837d248/lets_plot-4.5.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "a268b2a09fee88f304c4c8290348eb4d3ae5b00da3b6caa68fb6beec3cee5c82",
"md5": "268a56ee3b461a894ac3bdae286a19d4",
"sha256": "e44fbb7cba3d0b703d69fbfaeeb32d8210342731ed078a5c040f4d05c7e2fc28"
},
"downloads": -1,
"filename": "lets_plot-4.5.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
"has_sig": false,
"md5_digest": "268a56ee3b461a894ac3bdae286a19d4",
"packagetype": "bdist_wheel",
"python_version": "cp39",
"requires_python": null,
"size": 3400204,
"upload_time": "2024-12-13T18:21:59",
"upload_time_iso_8601": "2024-12-13T18:21:59.387503Z",
"url": "https://files.pythonhosted.org/packages/a2/68/b2a09fee88f304c4c8290348eb4d3ae5b00da3b6caa68fb6beec3cee5c82/lets_plot-4.5.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "2f64c2a0bdef1a8367d800c90b7505d89ecf620f27caf4268223f4f78cbb88c6",
"md5": "a676f0d1ff94e3ed684eaaa687fa748c",
"sha256": "dfaefd7bc7e1db4bf5f7881d2132d0354ac4b06b5249a9415446661ffccf9fde"
},
"downloads": -1,
"filename": "lets_plot-4.5.2-cp39-cp39-win_amd64.whl",
"has_sig": false,
"md5_digest": "a676f0d1ff94e3ed684eaaa687fa748c",
"packagetype": "bdist_wheel",
"python_version": "cp39",
"requires_python": null,
"size": 3114885,
"upload_time": "2024-12-13T18:21:33",
"upload_time_iso_8601": "2024-12-13T18:21:33.715505Z",
"url": "https://files.pythonhosted.org/packages/2f/64/c2a0bdef1a8367d800c90b7505d89ecf620f27caf4268223f4f78cbb88c6/lets_plot-4.5.2-cp39-cp39-win_amd64.whl",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-12-13 18:21:39",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "JetBrains",
"github_project": "lets-plot",
"travis_ci": true,
"coveralls": false,
"github_actions": false,
"lcname": "lets-plot"
}