# 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": "4.5.1",
"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": "39516a85bc54dc491e8097759ace8f96d8c5c1c68107ca72b4336c5d4a466364",
"md5": "7d50e992e7b286a362e30a6b65c00e45",
"sha256": "19e9968c2caa950591d39179957737a34d4ba15053bbb50af7c675facdc4faa5"
},
"downloads": -1,
"filename": "lets_plot-4.5.1-cp310-cp310-macosx_10_9_x86_64.whl",
"has_sig": false,
"md5_digest": "7d50e992e7b286a362e30a6b65c00e45",
"packagetype": "bdist_wheel",
"python_version": "cp310",
"requires_python": null,
"size": 3219046,
"upload_time": "2024-10-25T15:59:51",
"upload_time_iso_8601": "2024-10-25T15:59:51.931914Z",
"url": "https://files.pythonhosted.org/packages/39/51/6a85bc54dc491e8097759ace8f96d8c5c1c68107ca72b4336c5d4a466364/lets_plot-4.5.1-cp310-cp310-macosx_10_9_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "61fd5f0ba91a4be817951cc1aeebcd122e2b0c2c9f932fa8661c58fd0f9dcf2e",
"md5": "d912a92f9524cfdd792a87bbf205f21d",
"sha256": "2d2a633b1d0621cb631af908fe8f38fd9a23f20159eeab234376277efaa4bf7c"
},
"downloads": -1,
"filename": "lets_plot-4.5.1-cp310-cp310-macosx_11_0_arm64.whl",
"has_sig": false,
"md5_digest": "d912a92f9524cfdd792a87bbf205f21d",
"packagetype": "bdist_wheel",
"python_version": "cp310",
"requires_python": null,
"size": 3187036,
"upload_time": "2024-10-25T15:59:36",
"upload_time_iso_8601": "2024-10-25T15:59:36.772451Z",
"url": "https://files.pythonhosted.org/packages/61/fd/5f0ba91a4be817951cc1aeebcd122e2b0c2c9f932fa8661c58fd0f9dcf2e/lets_plot-4.5.1-cp310-cp310-macosx_11_0_arm64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "239bd4c02b3344fbc1bbaa2f51c48042e49882f03ed1a4c5cb1075ffa882512e",
"md5": "020e52d479a5f9caf6315dee0408af5a",
"sha256": "287730c7393b429ee72643fbe39a049d3341b2388aeea8e35370395c524fbf2e"
},
"downloads": -1,
"filename": "lets_plot-4.5.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl",
"has_sig": false,
"md5_digest": "020e52d479a5f9caf6315dee0408af5a",
"packagetype": "bdist_wheel",
"python_version": "cp310",
"requires_python": null,
"size": 3332346,
"upload_time": "2024-10-25T15:59:40",
"upload_time_iso_8601": "2024-10-25T15:59:40.674120Z",
"url": "https://files.pythonhosted.org/packages/23/9b/d4c02b3344fbc1bbaa2f51c48042e49882f03ed1a4c5cb1075ffa882512e/lets_plot-4.5.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "317b50214ac8c15735bfd7bd05c4e00b8646859d4ba040542a196054f8292a94",
"md5": "ebb5df6aed41f545e0e20361661f52b4",
"sha256": "e5bcc18190183b3a6dc6f2bdbccbc405dd9db93563a9749b8d6a3bce1aacfda0"
},
"downloads": -1,
"filename": "lets_plot-4.5.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
"has_sig": false,
"md5_digest": "ebb5df6aed41f545e0e20361661f52b4",
"packagetype": "bdist_wheel",
"python_version": "cp310",
"requires_python": null,
"size": 3376144,
"upload_time": "2024-10-25T16:00:20",
"upload_time_iso_8601": "2024-10-25T16:00:20.008384Z",
"url": "https://files.pythonhosted.org/packages/31/7b/50214ac8c15735bfd7bd05c4e00b8646859d4ba040542a196054f8292a94/lets_plot-4.5.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "e5e5612550ee4a77f9858f9c518d10e567122505c294d98270f8408590b08aa9",
"md5": "1ecd9d61c8f6179821f06aca46c03a35",
"sha256": "124d2ab145ff271f2b2d7b2195a8ab175f4f39f349f054a8ad7c8739d11d047e"
},
"downloads": -1,
"filename": "lets_plot-4.5.1-cp310-cp310-win_amd64.whl",
"has_sig": false,
"md5_digest": "1ecd9d61c8f6179821f06aca46c03a35",
"packagetype": "bdist_wheel",
"python_version": "cp310",
"requires_python": null,
"size": 3095478,
"upload_time": "2024-10-25T15:59:44",
"upload_time_iso_8601": "2024-10-25T15:59:44.755283Z",
"url": "https://files.pythonhosted.org/packages/e5/e5/612550ee4a77f9858f9c518d10e567122505c294d98270f8408590b08aa9/lets_plot-4.5.1-cp310-cp310-win_amd64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "4bf367dd526939a53c0f5d5f9b85cef5e977bab25c3ec2e7355b6d36ab64bf52",
"md5": "02df51c5ecfef50f0f8fd086b3fd935c",
"sha256": "00d0dd4eabaa01bf369f087c63a08426a6fe799db96d974d29937d78888d42fb"
},
"downloads": -1,
"filename": "lets_plot-4.5.1-cp311-cp311-macosx_10_9_x86_64.whl",
"has_sig": false,
"md5_digest": "02df51c5ecfef50f0f8fd086b3fd935c",
"packagetype": "bdist_wheel",
"python_version": "cp311",
"requires_python": null,
"size": 3219047,
"upload_time": "2024-10-25T16:00:28",
"upload_time_iso_8601": "2024-10-25T16:00:28.953159Z",
"url": "https://files.pythonhosted.org/packages/4b/f3/67dd526939a53c0f5d5f9b85cef5e977bab25c3ec2e7355b6d36ab64bf52/lets_plot-4.5.1-cp311-cp311-macosx_10_9_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "0ddf536759364a231ca5ad8fe5fd00f5c4b4e96ac344ccd0a79de02abc2a8aba",
"md5": "4030d0119a3cff2028f6c08256690310",
"sha256": "781e53f0be5b1536b129d46da737779122a3e267b318b70aaf652d5ae0f5f935"
},
"downloads": -1,
"filename": "lets_plot-4.5.1-cp311-cp311-macosx_11_0_arm64.whl",
"has_sig": false,
"md5_digest": "4030d0119a3cff2028f6c08256690310",
"packagetype": "bdist_wheel",
"python_version": "cp311",
"requires_python": null,
"size": 3187031,
"upload_time": "2024-10-25T16:00:12",
"upload_time_iso_8601": "2024-10-25T16:00:12.162040Z",
"url": "https://files.pythonhosted.org/packages/0d/df/536759364a231ca5ad8fe5fd00f5c4b4e96ac344ccd0a79de02abc2a8aba/lets_plot-4.5.1-cp311-cp311-macosx_11_0_arm64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "824a51525a55fdefc7eafab040dcab2942d5c7a9772f8f3a71654e44c2ebdb14",
"md5": "ab761609247b489db4d9fac5bbab2c79",
"sha256": "ce4d5c1ab3c827650517284895670046afb2c9f28468f003a80eff67e4e26f02"
},
"downloads": -1,
"filename": "lets_plot-4.5.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl",
"has_sig": false,
"md5_digest": "ab761609247b489db4d9fac5bbab2c79",
"packagetype": "bdist_wheel",
"python_version": "cp311",
"requires_python": null,
"size": 3332374,
"upload_time": "2024-10-25T16:00:18",
"upload_time_iso_8601": "2024-10-25T16:00:18.522370Z",
"url": "https://files.pythonhosted.org/packages/82/4a/51525a55fdefc7eafab040dcab2942d5c7a9772f8f3a71654e44c2ebdb14/lets_plot-4.5.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "503fb952f4c1c58fbf0dc542e43c3957541c30d6e71e27b53dba8d859c16ad6b",
"md5": "47f2d8fd36e68947b8cbe2df060f9db1",
"sha256": "2013c74a5acb120a451766fa6e69b547aebbafa50050dc5aca18223106a6fc61"
},
"downloads": -1,
"filename": "lets_plot-4.5.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
"has_sig": false,
"md5_digest": "47f2d8fd36e68947b8cbe2df060f9db1",
"packagetype": "bdist_wheel",
"python_version": "cp311",
"requires_python": null,
"size": 3376161,
"upload_time": "2024-10-25T16:00:15",
"upload_time_iso_8601": "2024-10-25T16:00:15.436697Z",
"url": "https://files.pythonhosted.org/packages/50/3f/b952f4c1c58fbf0dc542e43c3957541c30d6e71e27b53dba8d859c16ad6b/lets_plot-4.5.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "12ae135f63e6b86b6edfaa70fef4bdd7299057f0998c637584ea636027a29490",
"md5": "1c744335ba38e54e5f623304bae2ee6d",
"sha256": "0afa45cf025af6cf121f2f98e8e7e54e645aaf9bfdca9d820ba9a220569a5e57"
},
"downloads": -1,
"filename": "lets_plot-4.5.1-cp311-cp311-win_amd64.whl",
"has_sig": false,
"md5_digest": "1c744335ba38e54e5f623304bae2ee6d",
"packagetype": "bdist_wheel",
"python_version": "cp311",
"requires_python": null,
"size": 3095462,
"upload_time": "2024-10-25T16:00:16",
"upload_time_iso_8601": "2024-10-25T16:00:16.891275Z",
"url": "https://files.pythonhosted.org/packages/12/ae/135f63e6b86b6edfaa70fef4bdd7299057f0998c637584ea636027a29490/lets_plot-4.5.1-cp311-cp311-win_amd64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "c23a5b76085866df6a8be51aac2e6ab6dfd7820d0c16f4580e87854cce3600d8",
"md5": "f6b6f6217888750eaca256a04eebf6f7",
"sha256": "66d6edefa84be86d2a3d24cfdd2f39bbb0466ce6e31ed9eab205547faee2f459"
},
"downloads": -1,
"filename": "lets_plot-4.5.1-cp312-cp312-macosx_10_9_x86_64.whl",
"has_sig": false,
"md5_digest": "f6b6f6217888750eaca256a04eebf6f7",
"packagetype": "bdist_wheel",
"python_version": "cp312",
"requires_python": null,
"size": 3219076,
"upload_time": "2024-10-25T16:00:27",
"upload_time_iso_8601": "2024-10-25T16:00:27.406908Z",
"url": "https://files.pythonhosted.org/packages/c2/3a/5b76085866df6a8be51aac2e6ab6dfd7820d0c16f4580e87854cce3600d8/lets_plot-4.5.1-cp312-cp312-macosx_10_9_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "06d0ce74d1fcbab207ea92e72ce67b692d5a26a202c8f768fda04d416226c85b",
"md5": "6644e1a0972c15d26cc771a894450fbc",
"sha256": "e24a12f0d00d7d8a92f2963d78bc74280772e14484b5ee826d9886341a6c33d9"
},
"downloads": -1,
"filename": "lets_plot-4.5.1-cp312-cp312-macosx_11_0_arm64.whl",
"has_sig": false,
"md5_digest": "6644e1a0972c15d26cc771a894450fbc",
"packagetype": "bdist_wheel",
"python_version": "cp312",
"requires_python": null,
"size": 3187004,
"upload_time": "2024-10-25T15:59:57",
"upload_time_iso_8601": "2024-10-25T15:59:57.777389Z",
"url": "https://files.pythonhosted.org/packages/06/d0/ce74d1fcbab207ea92e72ce67b692d5a26a202c8f768fda04d416226c85b/lets_plot-4.5.1-cp312-cp312-macosx_11_0_arm64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "be1f631b3049f840af9aa806280c4b42de195894bf3410a12f1171255b65c912",
"md5": "d9d2f619484733f080a37bebeb849a10",
"sha256": "c07ac7ca6adfcae7713e9fc57e43dff1932b51912ae8f1f99d688649ac9b893a"
},
"downloads": -1,
"filename": "lets_plot-4.5.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl",
"has_sig": false,
"md5_digest": "d9d2f619484733f080a37bebeb849a10",
"packagetype": "bdist_wheel",
"python_version": "cp312",
"requires_python": null,
"size": 3332606,
"upload_time": "2024-10-25T15:59:59",
"upload_time_iso_8601": "2024-10-25T15:59:59.536900Z",
"url": "https://files.pythonhosted.org/packages/be/1f/631b3049f840af9aa806280c4b42de195894bf3410a12f1171255b65c912/lets_plot-4.5.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "14595bc389debf18531d93dc6e655501bf45b588bdc9864426e32c3599372630",
"md5": "48eaec7d18825acef054ceda7d87dcd6",
"sha256": "cd412b3f8bd1f6c576d9f0103b256ab82669eb99bdf641464686dd92e4946a5a"
},
"downloads": -1,
"filename": "lets_plot-4.5.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
"has_sig": false,
"md5_digest": "48eaec7d18825acef054ceda7d87dcd6",
"packagetype": "bdist_wheel",
"python_version": "cp312",
"requires_python": null,
"size": 3376337,
"upload_time": "2024-10-25T16:00:01",
"upload_time_iso_8601": "2024-10-25T16:00:01.838576Z",
"url": "https://files.pythonhosted.org/packages/14/59/5bc389debf18531d93dc6e655501bf45b588bdc9864426e32c3599372630/lets_plot-4.5.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "63d791eacec177a2ce4c9eb79236a620b39d7579f1ca7f7463222f1d3a7f5ddd",
"md5": "6ab7b22f52307449e77afc3369ee4247",
"sha256": "2b82d35869aa45253217e748ef027b20eecfc4d8bfb0ded2442b0af56f81d2c8"
},
"downloads": -1,
"filename": "lets_plot-4.5.1-cp312-cp312-win_amd64.whl",
"has_sig": false,
"md5_digest": "6ab7b22f52307449e77afc3369ee4247",
"packagetype": "bdist_wheel",
"python_version": "cp312",
"requires_python": null,
"size": 3095237,
"upload_time": "2024-10-25T16:00:25",
"upload_time_iso_8601": "2024-10-25T16:00:25.929234Z",
"url": "https://files.pythonhosted.org/packages/63/d7/91eacec177a2ce4c9eb79236a620b39d7579f1ca7f7463222f1d3a7f5ddd/lets_plot-4.5.1-cp312-cp312-win_amd64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "1038cb3ca229825af660524a5e3a812fe91e5e35a6df2f739e599d4b54a126f8",
"md5": "be3a12dcbf5278849d0fbefa868536bb",
"sha256": "11ad311098921dd89cfd8ec391f5fa964db88a78fd9e03c09931ce39fdbb8cd0"
},
"downloads": -1,
"filename": "lets_plot-4.5.1-cp313-cp313-macosx_10_15_x86_64.whl",
"has_sig": false,
"md5_digest": "be3a12dcbf5278849d0fbefa868536bb",
"packagetype": "bdist_wheel",
"python_version": "cp313",
"requires_python": null,
"size": 3219151,
"upload_time": "2024-10-25T15:59:50",
"upload_time_iso_8601": "2024-10-25T15:59:50.106574Z",
"url": "https://files.pythonhosted.org/packages/10/38/cb3ca229825af660524a5e3a812fe91e5e35a6df2f739e599d4b54a126f8/lets_plot-4.5.1-cp313-cp313-macosx_10_15_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "e1ef7250e63a271946b25959ef602f210b4f541289e3e43af7640f29d1323649",
"md5": "0dacc0b0dc6cfc000cb4e8e6b25b4239",
"sha256": "0c0c07258bc92f94e4a3d95351ce2395e80bb3f7cf5d1d27b92f4ae1aed6098e"
},
"downloads": -1,
"filename": "lets_plot-4.5.1-cp313-cp313-macosx_11_0_arm64.whl",
"has_sig": false,
"md5_digest": "0dacc0b0dc6cfc000cb4e8e6b25b4239",
"packagetype": "bdist_wheel",
"python_version": "cp313",
"requires_python": null,
"size": 3187002,
"upload_time": "2024-10-25T15:59:48",
"upload_time_iso_8601": "2024-10-25T15:59:48.353589Z",
"url": "https://files.pythonhosted.org/packages/e1/ef/7250e63a271946b25959ef602f210b4f541289e3e43af7640f29d1323649/lets_plot-4.5.1-cp313-cp313-macosx_11_0_arm64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "8fe431f9ed2f2186838eba1bf42390208cca028e196c38294330dad1ab600990",
"md5": "a5a80e9014b706c08ef302e174a5ac91",
"sha256": "d1c94d5fdb474bfb6b20facdfcd09b03cda1fa6937682f5663bdadf09e1e0e96"
},
"downloads": -1,
"filename": "lets_plot-4.5.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl",
"has_sig": false,
"md5_digest": "a5a80e9014b706c08ef302e174a5ac91",
"packagetype": "bdist_wheel",
"python_version": "cp313",
"requires_python": null,
"size": 3332558,
"upload_time": "2024-10-25T15:59:46",
"upload_time_iso_8601": "2024-10-25T15:59:46.554515Z",
"url": "https://files.pythonhosted.org/packages/8f/e4/31f9ed2f2186838eba1bf42390208cca028e196c38294330dad1ab600990/lets_plot-4.5.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "556201bad9a5d537201e4082cfded4277300700bfb94521a9ba870394dfb4ba1",
"md5": "837f31ca69170ed95ebc5a27bdc928a9",
"sha256": "0771feb57faef233c760a323eccf52163db9e395e08949b6f70207e6436c73cf"
},
"downloads": -1,
"filename": "lets_plot-4.5.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
"has_sig": false,
"md5_digest": "837f31ca69170ed95ebc5a27bdc928a9",
"packagetype": "bdist_wheel",
"python_version": "cp313",
"requires_python": null,
"size": 3376294,
"upload_time": "2024-10-25T16:00:08",
"upload_time_iso_8601": "2024-10-25T16:00:08.707335Z",
"url": "https://files.pythonhosted.org/packages/55/62/01bad9a5d537201e4082cfded4277300700bfb94521a9ba870394dfb4ba1/lets_plot-4.5.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "241256df74c81c78d0e26e1d17c60316d046e757beecc3ce8306a2ec4b45d06f",
"md5": "8e9a068c0d5288e5368874667b8a7082",
"sha256": "5c49243ff9eb659b30a7762202da6ae72dbe39e8f4eb5a02b451743e122b6789"
},
"downloads": -1,
"filename": "lets_plot-4.5.1-cp313-cp313-win_amd64.whl",
"has_sig": false,
"md5_digest": "8e9a068c0d5288e5368874667b8a7082",
"packagetype": "bdist_wheel",
"python_version": "cp313",
"requires_python": null,
"size": 3095271,
"upload_time": "2024-10-25T15:59:39",
"upload_time_iso_8601": "2024-10-25T15:59:39.120133Z",
"url": "https://files.pythonhosted.org/packages/24/12/56df74c81c78d0e26e1d17c60316d046e757beecc3ce8306a2ec4b45d06f/lets_plot-4.5.1-cp313-cp313-win_amd64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "49d53380c8b6491ce742f17d925f7e301cd4a3a3b348b162814dfaa06aafeedd",
"md5": "1962ac65762acfbd85d1a0ad41672858",
"sha256": "fc13d17cb57a25a0e489a090cecb40ca5e7a6e5d46f9e4b54c10e7a70af707c8"
},
"downloads": -1,
"filename": "lets_plot-4.5.1-cp38-cp38-macosx_10_9_x86_64.whl",
"has_sig": false,
"md5_digest": "1962ac65762acfbd85d1a0ad41672858",
"packagetype": "bdist_wheel",
"python_version": "cp38",
"requires_python": null,
"size": 3219928,
"upload_time": "2024-10-25T15:59:55",
"upload_time_iso_8601": "2024-10-25T15:59:55.877342Z",
"url": "https://files.pythonhosted.org/packages/49/d5/3380c8b6491ce742f17d925f7e301cd4a3a3b348b162814dfaa06aafeedd/lets_plot-4.5.1-cp38-cp38-macosx_10_9_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "c2926673686977730e7623fa47db2e6ae271002b5ee15b6d68606ec69c417735",
"md5": "174bcf191aea9d6b7ce424c481233c09",
"sha256": "6dc67f2a1ed4834adc19f7dc03aa6f0b74655aa25f2c5d2bf998b9afe0a3af5f"
},
"downloads": -1,
"filename": "lets_plot-4.5.1-cp38-cp38-macosx_11_0_arm64.whl",
"has_sig": false,
"md5_digest": "174bcf191aea9d6b7ce424c481233c09",
"packagetype": "bdist_wheel",
"python_version": "cp38",
"requires_python": null,
"size": 3187206,
"upload_time": "2024-10-25T15:59:42",
"upload_time_iso_8601": "2024-10-25T15:59:42.789809Z",
"url": "https://files.pythonhosted.org/packages/c2/92/6673686977730e7623fa47db2e6ae271002b5ee15b6d68606ec69c417735/lets_plot-4.5.1-cp38-cp38-macosx_11_0_arm64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "5d518f6da4636042400cf604e04700c822ad41a37145164a96594228e51fcc79",
"md5": "f05f154ca39d44b8ce284a4ec64bc86e",
"sha256": "a463f15c875e850625838301f5a1d1fc70df5ff7b70229cba509b2dba69f2852"
},
"downloads": -1,
"filename": "lets_plot-4.5.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl",
"has_sig": false,
"md5_digest": "f05f154ca39d44b8ce284a4ec64bc86e",
"packagetype": "bdist_wheel",
"python_version": "cp38",
"requires_python": null,
"size": 3332938,
"upload_time": "2024-10-25T16:00:06",
"upload_time_iso_8601": "2024-10-25T16:00:06.587891Z",
"url": "https://files.pythonhosted.org/packages/5d/51/8f6da4636042400cf604e04700c822ad41a37145164a96594228e51fcc79/lets_plot-4.5.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "e42652e0bf026f92a62a82f7eca1789a62b347925c0cbee24ca708767f610cd9",
"md5": "043af4e4814531df0167c4f8465b8ff9",
"sha256": "b2be1c337321237d2a4b2dca04c618816b74607a041aa1233119bf5296e0e97d"
},
"downloads": -1,
"filename": "lets_plot-4.5.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
"has_sig": false,
"md5_digest": "043af4e4814531df0167c4f8465b8ff9",
"packagetype": "bdist_wheel",
"python_version": "cp38",
"requires_python": null,
"size": 3376552,
"upload_time": "2024-10-25T16:00:04",
"upload_time_iso_8601": "2024-10-25T16:00:04.435163Z",
"url": "https://files.pythonhosted.org/packages/e4/26/52e0bf026f92a62a82f7eca1789a62b347925c0cbee24ca708767f610cd9/lets_plot-4.5.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "4d08c72f5847be34415345712951ae35a091b5332e8969f5d990c19d058deaf6",
"md5": "180f77a49ec542885375497eeb11e223",
"sha256": "cecf33753641d1b0cb8f82f0484fc24743524c5cc54df1aa015207cec77637c1"
},
"downloads": -1,
"filename": "lets_plot-4.5.1-cp38-cp38-win_amd64.whl",
"has_sig": false,
"md5_digest": "180f77a49ec542885375497eeb11e223",
"packagetype": "bdist_wheel",
"python_version": "cp38",
"requires_python": null,
"size": 3095276,
"upload_time": "2024-10-25T16:00:24",
"upload_time_iso_8601": "2024-10-25T16:00:24.382307Z",
"url": "https://files.pythonhosted.org/packages/4d/08/c72f5847be34415345712951ae35a091b5332e8969f5d990c19d058deaf6/lets_plot-4.5.1-cp38-cp38-win_amd64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "1988c8564ccf6bf1b750044cb5cd65ad7b5601e0ceb42c9807fed449795af3d7",
"md5": "55ff74eff6730f0169bb326aee6b1905",
"sha256": "cb3032b0725cb7434c25e57086c5152631c72c57ee82e3ef739dac2b589b8902"
},
"downloads": -1,
"filename": "lets_plot-4.5.1-cp39-cp39-macosx_10_9_x86_64.whl",
"has_sig": false,
"md5_digest": "55ff74eff6730f0169bb326aee6b1905",
"packagetype": "bdist_wheel",
"python_version": "cp39",
"requires_python": null,
"size": 3219033,
"upload_time": "2024-10-25T16:00:10",
"upload_time_iso_8601": "2024-10-25T16:00:10.678272Z",
"url": "https://files.pythonhosted.org/packages/19/88/c8564ccf6bf1b750044cb5cd65ad7b5601e0ceb42c9807fed449795af3d7/lets_plot-4.5.1-cp39-cp39-macosx_10_9_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "7174cc54b8dc1738c082088f70d6eee66fe50f63a075dc0344b2d99037e3340e",
"md5": "2d51f1e14161e4312b3469800d3e0234",
"sha256": "b5d73e0691d4a9f93fefa99d16cacb9a692a41dc132a51cc2ccf37db3ed08aeb"
},
"downloads": -1,
"filename": "lets_plot-4.5.1-cp39-cp39-macosx_11_0_arm64.whl",
"has_sig": false,
"md5_digest": "2d51f1e14161e4312b3469800d3e0234",
"packagetype": "bdist_wheel",
"python_version": "cp39",
"requires_python": null,
"size": 3187027,
"upload_time": "2024-10-25T16:00:21",
"upload_time_iso_8601": "2024-10-25T16:00:21.507519Z",
"url": "https://files.pythonhosted.org/packages/71/74/cc54b8dc1738c082088f70d6eee66fe50f63a075dc0344b2d99037e3340e/lets_plot-4.5.1-cp39-cp39-macosx_11_0_arm64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "e936d3c9424cc11ba819109de24ce9961a96eb5383ecbd8bb70f0e5b424fc900",
"md5": "975881105d6a1dea565afd238ac3f2d4",
"sha256": "3f478ca550c52afe536f7ea1c801d3dcbc13349950b81cffee96d89ceac32806"
},
"downloads": -1,
"filename": "lets_plot-4.5.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl",
"has_sig": false,
"md5_digest": "975881105d6a1dea565afd238ac3f2d4",
"packagetype": "bdist_wheel",
"python_version": "cp39",
"requires_python": null,
"size": 3332180,
"upload_time": "2024-10-25T16:00:13",
"upload_time_iso_8601": "2024-10-25T16:00:13.700891Z",
"url": "https://files.pythonhosted.org/packages/e9/36/d3c9424cc11ba819109de24ce9961a96eb5383ecbd8bb70f0e5b424fc900/lets_plot-4.5.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "0fe8f418ff38c3df3c64c83bd8139adff013078d506f1047ee79027b5028f202",
"md5": "74f52e752d534ef56d3a1f0f54dd4b2a",
"sha256": "8e84f315f5a9e17ee9264e9e8e29e79eb37dcb9bf5b952d7a1f488cd77c9be22"
},
"downloads": -1,
"filename": "lets_plot-4.5.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
"has_sig": false,
"md5_digest": "74f52e752d534ef56d3a1f0f54dd4b2a",
"packagetype": "bdist_wheel",
"python_version": "cp39",
"requires_python": null,
"size": 3376013,
"upload_time": "2024-10-25T15:59:53",
"upload_time_iso_8601": "2024-10-25T15:59:53.456242Z",
"url": "https://files.pythonhosted.org/packages/0f/e8/f418ff38c3df3c64c83bd8139adff013078d506f1047ee79027b5028f202/lets_plot-4.5.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "23b9d0e9e0eb0f2ad2de4e1e70490390c8395b09ba9c362215940e625dcb75ba",
"md5": "be24d5988b73b4e996e0f1a61375475c",
"sha256": "a5f76be37fc0c06898c03d16ce619d38564ec84ffefb6f2b979ade8b917b5f3c"
},
"downloads": -1,
"filename": "lets_plot-4.5.1-cp39-cp39-win_amd64.whl",
"has_sig": false,
"md5_digest": "be24d5988b73b4e996e0f1a61375475c",
"packagetype": "bdist_wheel",
"python_version": "cp39",
"requires_python": null,
"size": 3095559,
"upload_time": "2024-10-25T16:00:22",
"upload_time_iso_8601": "2024-10-25T16:00:22.959919Z",
"url": "https://files.pythonhosted.org/packages/23/b9/d0e9e0eb0f2ad2de4e1e70490390c8395b09ba9c362215940e625dcb75ba/lets_plot-4.5.1-cp39-cp39-win_amd64.whl",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-10-25 15:59:51",
"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"
}