repos: 294706267
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| id | node_id | name | full_name | private | owner | html_url | description | fork | created_at | updated_at | pushed_at | homepage | size | stargazers_count | watchers_count | language | has_issues | has_projects | has_downloads | has_wiki | has_pages | forks_count | archived | disabled | open_issues_count | license | topics | forks | open_issues | watchers | default_branch | permissions | temp_clone_token | organization | network_count | subscribers_count | readme | readme_html | allow_forking | visibility | is_template | template_repository | web_commit_signoff_required | has_discussions |
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| 294706267 | MDEwOlJlcG9zaXRvcnkyOTQ3MDYyNjc= | datasette-seaborn | simonw/datasette-seaborn | 0 | 9599 | https://github.com/simonw/datasette-seaborn | Statistical visualizations for Datasette using Seaborn | 0 | 2020-09-11T13:43:08Z | 2022-03-22T01:49:39Z | 2022-03-22T01:49:36Z | https://datasette-seaborn-demo.datasette.io/ | 24 | 11 | 11 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 5 | ["datasette", "datasette-io", "datasette-plugin", "seaborn", "visualization"] | 0 | 5 | 11 | main | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | 0 | 2 | # datasette-seaborn [](https://pypi.org/project/datasette-seaborn/) [](https://github.com/simonw/datasette-seaborn/releases) [](https://github.com/simonw/datasette-seaborn/actions?query=workflow%3ATest) [](https://github.com/simonw/datasette-seaborn/blob/main/LICENSE) Statistical visualizations for Datasette using Seaborn ## Installation Install this plugin in the same environment as Datasette. $ datasette install datasette-seaborn ## Usage Navigate to the new `.seaborn` extension for any Datasette table. The `_seaborn` argument specifies a method on `sns` to execute, e.g. `?_seaborn=relplot`. Extra arguments to those methods can be specified using e.g. `&_seaborn_x=column_name`. ## Configuration The plugin implements a default rendering time limit of five seconds. You can customize this limit using the `render_time_limit` setting, which accepts a floating point number of seconds. Add this to your `metadata.json`: ```json { "plugins": { "datasette-seaborn": { "render_time_limit": 1.0 } } } ``` ## Development To set up this plugin locally, first checkout the code. Then create a new virtual environment: cd datasette-seaborn python3 -mvenv venv source venv/bin/activate Or if you are using `pipenv`: pipenv shell Now install the dependencies and tests: pip install -e '.[test]' To run the tests: pytest | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-datasette-seaborn" class="anchor" aria-hidden="true" href="#user-content-datasette-seaborn"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-seaborn</h1> <p dir="auto"><a href="https://pypi.org/project/datasette-seaborn/" rel="nofollow"><img src="https://camo.githubusercontent.com/c0a14e4147c52777b94b74dd7e3fc2c3e58dc5f896dadaf7128ab52b1facd581/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d736561626f726e2e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-seaborn.svg" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-seaborn/releases"><img src="https://camo.githubusercontent.com/33834b7d5f3a4df257e0c20b9d8c6729f1b720d257bd6bc33c0cbf60a91382c7/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d736561626f726e3f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-seaborn?include_prereleases&label=changelog" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-seaborn/actions?query=workflow%3ATest"><img src="https://github.com/simonw/datasette-seaborn/workflows/Test/badge.svg" alt="Tests" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-seaborn/blob/main/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c681143eb0841f9675c6f802bb7aa832afc0c7a4e719b1f3cf955/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6c6963656e73652d417061636865253230322e302d626c75652e737667" alt="License" data-canonical-src="https://img.shields.io/badge/license-Apache%202.0-blue.svg" style="max-width: 100%;"></a></p> <p dir="auto">Statistical visualizations for Datasette using Seaborn</p> <h2 dir="auto"><a id="user-content-installation" class="anchor" aria-hidden="true" href="#user-content-installation"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>Installation</h2> <p dir="auto">Install this plugin in the same environment as Datasette.</p> <div class="snippet-clipboard-content position-relative overflow-auto" data-snippet-clipboard-copy-content="$ datasette install datasette-seaborn"><pre><code>$ datasette install datasette-seaborn </code></pre></div> <h2 dir="auto"><a id="user-content-usage" class="anchor" aria-hidden="true" href="#user-content-usage"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>Usage</h2> <p dir="auto">Navigate to the new <code>.seaborn</code> extension for any Datasette table.</p> <p dir="auto">The <code>_seaborn</code> argument specifies a method on <code>sns</code> to execute, e.g. <code>?_seaborn=relplot</code>.</p> <p dir="auto">Extra arguments to those methods can be specified using e.g. <code>&_seaborn_x=column_name</code>.</p> <h2 dir="auto"><a id="user-content-configuration" class="anchor" aria-hidden="true" href="#user-content-configuration"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>Configuration</h2> <p dir="auto">The plugin implements a default rendering time limit of five seconds. You can customize this limit using the <code>render_time_limit</code> setting, which accepts a floating point number of seconds. Add this to your <code>metadata.json</code>:</p> <div class="highlight highlight-source-json position-relative overflow-auto" data-snippet-clipboard-copy-content="{ "plugins": { "datasette-seaborn": { "render_time_limit": 1.0 } } }"><pre>{ <span class="pl-ent">"plugins"</span>: { <span class="pl-ent">"datasette-seaborn"</span>: { <span class="pl-ent">"render_time_limit"</span>: <span class="pl-c1">1.0</span> } } }</pre></div> <h2 dir="auto"><a id="user-content-development" class="anchor" aria-hidden="true" href="#user-content-development"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>Development</h2> <p dir="auto">To set up this plugin locally, first checkout the code. Then create a new virtual environment:</p> <div class="snippet-clipboard-content position-relative overflow-auto" data-snippet-clipboard-copy-content="cd datasette-seaborn python3 -mvenv venv source venv/bin/activate"><pre><code>cd datasette-seaborn python3 -mvenv venv source venv/bin/activate </code></pre></div> <p dir="auto">Or if you are using <code>pipenv</code>:</p> <div class="snippet-clipboard-content position-relative overflow-auto" data-snippet-clipboard-copy-content="pipenv shell"><pre><code>pipenv shell </code></pre></div> <p dir="auto">Now install the dependencies and tests:</p> <div class="snippet-clipboard-content position-relative overflow-auto" data-snippet-clipboard-copy-content="pip install -e '.[test]'"><pre><code>pip install -e '.[test]' </code></pre></div> <p dir="auto">To run the tests:</p> <div class="snippet-clipboard-content position-relative overflow-auto" data-snippet-clipboard-copy-content="pytest"><pre><code>pytest </code></pre></div> </article></div> | 1 | public | 0 |
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