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cl-matplotlib

Matlab like interactive plotting experience in Common Lisp using python+matplotlib using https://github.com/ajberkley/py4cl2 (forked from https://github.com/digikar99/py4cl2 currently, will try and merge changes).

This is a work in progress, but is being used pretty extensively in house. If you are interested, create an issue and we can talk about it!

With a small tweak to the read-eval loop in py4cl2 we can get nice interactive (zoomable, customizable) PyQt6 / matplotlib plots while still having a lisp repl to interact with them. The main complexity is that we have to turn the py4cl2 dispatch loop inside out so it gets called from the Qt6 main loop. See ajberkley/py4cl2 for a fork of py4cl2 that supports the inside out dispatch loop, asynchronous callback support, and multiple python processes.

cd ~/quicklisp/local-projects
git clone https://github.com/ajberkley/py4cl2
git clone https://github.com/ajberkley/cl-matplotlib

You will need to pip install PyQt6, matplotlib, numpy at least. Start a virtual env if they aren't globally installed, then start up emacs / slime and (quicklisp:quickload :cl-matplotlib) and then (in-package:cl-matplotlib) then (start-loop) and then (plot-random-points) (mpl/figure 3) (plot-random-points)... or run (demo). You can drag/drop plots to dock/undock them etc, click the float/unfloat button, etc.

Note that if you are using Ubuntu22 please read the package doc-string for some kludge workarounds for Qt6 dockable windows and wayland issues image

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

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cl-matplotlib
Matlab like interactive plotting experience in Common Lisp using python+matplotlib using https://github.com/ajberkley/py4cl2 (forked from https://github.com/digikar99/py4cl2 currently, will try and merge changes).
This is a work in progress, but is being used pretty extensively in house. If you are interested, create an issue and we can talk about it!
With a small tweak to the read-eval loop in py4cl2 we can get nice interactive (zoomable, customizable) PyQt6 / matplotlib plots while still having a lisp repl to interact with them. The main complexity is that we have to turn the py4cl2 dispatch loop inside out so it gets called from the Qt6 main loop. See ajberkley/py4cl2 for a fork of py4cl2 that supports the inside out dispatch loop, asynchronous callback support, and multiple python processes.
cd ~/quicklisp/local-projects
git clone https://github.com/ajberkley/py4cl2
git clone https://github.com/ajberkley/cl-matplotlib

You will need to pip install PyQt6, matplotlib, numpy at least. Start a virtual env if they aren't globally installed, then start up emacs / slime and (quicklisp:quickload :cl-matplotlib) and then (in-package:cl-matplotlib) then (start-loop) and then (plot-random-points) (mpl/figure 3) (plot-random-points)... or run (demo). You can drag/drop plots to dock/undock them etc, click the float/unfloat button, etc.
Note that if you are using Ubuntu22 please read the package doc-string for some kludge workarounds for Qt6 dockable windows and wayland issues
image
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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cl-matplotlib
Matlab like interactive plotting experience in Common Lisp using python+matplotlib using https://github.com/ajberkley/py4cl2 (forked from https://github.com/digikar99/py4cl2 currently, will try and merge changes).
This is a work in progress, but is being used pretty extensively in house. If you are interested, create an issue and we can talk about it!
With a small tweak to the read-eval loop in py4cl2 we can get nice interactive (zoomable, customizable) PyQt6 / matplotlib plots while still having a lisp repl to interact with them. The main complexity is that we have to turn the py4cl2 dispatch loop inside out so it gets called from the Qt6 main loop. See ajberkley/py4cl2 for a fork of py4cl2 that supports the inside out dispatch loop, asynchronous callback support, and multiple python processes.
cd ~/quicklisp/local-projects
git clone https://github.com/ajberkley/py4cl2
git clone https://github.com/ajberkley/cl-matplotlib

You will need to pip install PyQt6, matplotlib, numpy at least. Start a virtual env if they aren't globally installed, then start up emacs / slime and (quicklisp:quickload :cl-matplotlib) and then (in-package:cl-matplotlib) then (start-loop) and then (plot-random-points) (mpl/figure 3) (plot-random-points)... or run (demo). You can drag/drop plots to dock/undock them etc, click the float/unfloat button, etc.
Note that if you are using Ubuntu22 please read the package doc-string for some kludge workarounds for Qt6 dockable windows and wayland issues
image
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Matlab like interactive plotting experience in Common Lisp using python+matplotlib
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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cl-matplotlib
Matlab like interactive plotting experience in Common Lisp using python+matplotlib using https://github.com/ajberkley/py4cl2 (forked from https://github.com/digikar99/py4cl2 currently, will try and merge changes).
This is a work in progress, but is being used pretty extensively in house. If you are interested, create an issue and we can talk about it!
With a small tweak to the read-eval loop in py4cl2 we can get nice interactive (zoomable, customizable) PyQt6 / matplotlib plots while still having a lisp repl to interact with them. The main complexity is that we have to turn the py4cl2 dispatch loop inside out so it gets called from the Qt6 main loop. See ajberkley/py4cl2 for a fork of py4cl2 that supports the inside out dispatch loop, asynchronous callback support, and multiple python processes.
cd ~/quicklisp/local-projects
git clone https://github.com/ajberkley/py4cl2
git clone https://github.com/ajberkley/cl-matplotlib

You will need to pip install PyQt6, matplotlib, numpy at least. Start a virtual env if they aren't globally installed, then start up emacs / slime and (quicklisp:quickload :cl-matplotlib) and then (in-package:cl-matplotlib) then (start-loop) and then (plot-random-points) (mpl/figure 3) (plot-random-points)... or run (demo). You can drag/drop plots to dock/undock them etc, click the float/unfloat button, etc.
Note that if you are using Ubuntu22 please read the package doc-string for some kludge workarounds for Qt6 dockable windows and wayland issues
image
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

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cl-matplotlib
Matlab like interactive plotting experience in Common Lisp using python+matplotlib using https://github.com/ajberkley/py4cl2 (forked from https://github.com/digikar99/py4cl2 currently, will try and merge changes).
This is a work in progress, but is being used pretty extensively in house. If you are interested, create an issue and we can talk about it!
With a small tweak to the read-eval loop in py4cl2 we can get nice interactive (zoomable, customizable) PyQt6 / matplotlib plots while still having a lisp repl to interact with them. The main complexity is that we have to turn the py4cl2 dispatch loop inside out so it gets called from the Qt6 main loop. See ajberkley/py4cl2 for a fork of py4cl2 that supports the inside out dispatch loop, asynchronous callback support, and multiple python processes.
cd ~/quicklisp/local-projects
git clone https://github.com/ajberkley/py4cl2
git clone https://github.com/ajberkley/cl-matplotlib

You will need to pip install PyQt6, matplotlib, numpy at least. Start a virtual env if they aren't globally installed, then start up emacs / slime and (quicklisp:quickload :cl-matplotlib) and then (in-package:cl-matplotlib) then (start-loop) and then (plot-random-points) (mpl/figure 3) (plot-random-points)... or run (demo). You can drag/drop plots to dock/undock them etc, click the float/unfloat button, etc.
Note that if you are using Ubuntu22 please read the package doc-string for some kludge workarounds for Qt6 dockable windows and wayland issues
image
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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cl-matplotlib
Matlab like interactive plotting experience in Common Lisp using python+matplotlib using https://github.com/ajberkley/py4cl2 (forked from https://github.com/digikar99/py4cl2 currently, will try and merge changes).
This is a work in progress, but is being used pretty extensively in house. If you are interested, create an issue and we can talk about it!
With a small tweak to the read-eval loop in py4cl2 we can get nice interactive (zoomable, customizable) PyQt6 / matplotlib plots while still having a lisp repl to interact with them. The main complexity is that we have to turn the py4cl2 dispatch loop inside out so it gets called from the Qt6 main loop. See ajberkley/py4cl2 for a fork of py4cl2 that supports the inside out dispatch loop, asynchronous callback support, and multiple python processes.
cd ~/quicklisp/local-projects
git clone https://github.com/ajberkley/py4cl2
git clone https://github.com/ajberkley/cl-matplotlib

You will need to pip install PyQt6, matplotlib, numpy at least. Start a virtual env if they aren't globally installed, then start up emacs / slime and (quicklisp:quickload :cl-matplotlib) and then (in-package:cl-matplotlib) then (start-loop) and then (plot-random-points) (mpl/figure 3) (plot-random-points)... or run (demo). You can drag/drop plots to dock/undock them etc, click the float/unfloat button, etc.
Note that if you are using Ubuntu22 please read the package doc-string for some kludge workarounds for Qt6 dockable windows and wayland issues
image
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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cl-matplotlib
Matlab like interactive plotting experience in Common Lisp using python+matplotlib using https://github.com/ajberkley/py4cl2 (forked from https://github.com/digikar99/py4cl2 currently, will try and merge changes).
This is a work in progress, but is being used pretty extensively in house. If you are interested, create an issue and we can talk about it!
With a small tweak to the read-eval loop in py4cl2 we can get nice interactive (zoomable, customizable) PyQt6 / matplotlib plots while still having a lisp repl to interact with them. The main complexity is that we have to turn the py4cl2 dispatch loop inside out so it gets called from the Qt6 main loop. See ajberkley/py4cl2 for a fork of py4cl2 that supports the inside out dispatch loop, asynchronous callback support, and multiple python processes.
cd ~/quicklisp/local-projects
git clone https://github.com/ajberkley/py4cl2
git clone https://github.com/ajberkley/cl-matplotlib

You will need to pip install PyQt6, matplotlib, numpy at least. Start a virtual env if they aren't globally installed, then start up emacs / slime and (quicklisp:quickload :cl-matplotlib) and then (in-package:cl-matplotlib) then (start-loop) and then (plot-random-points) (mpl/figure 3) (plot-random-points)... or run (demo). You can drag/drop plots to dock/undock them etc, click the float/unfloat button, etc.
Note that if you are using Ubuntu22 please read the package doc-string for some kludge workarounds for Qt6 dockable windows and wayland issues
image
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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cl-matplotlib
Matlab like interactive plotting experience in Common Lisp using python+matplotlib using https://github.com/ajberkley/py4cl2 (forked from https://github.com/digikar99/py4cl2 currently, will try and merge changes).
This is a work in progress, but is being used pretty extensively in house. If you are interested, create an issue and we can talk about it!
With a small tweak to the read-eval loop in py4cl2 we can get nice interactive (zoomable, customizable) PyQt6 / matplotlib plots while still having a lisp repl to interact with them. The main complexity is that we have to turn the py4cl2 dispatch loop inside out so it gets called from the Qt6 main loop. See ajberkley/py4cl2 for a fork of py4cl2 that supports the inside out dispatch loop, asynchronous callback support, and multiple python processes.
cd ~/quicklisp/local-projects
git clone https://github.com/ajberkley/py4cl2
git clone https://github.com/ajberkley/cl-matplotlib

You will need to pip install PyQt6, matplotlib, numpy at least. Start a virtual env if they aren't globally installed, then start up emacs / slime and (quicklisp:quickload :cl-matplotlib) and then (in-package:cl-matplotlib) then (start-loop) and then (plot-random-points) (mpl/figure 3) (plot-random-points)... or run (demo). You can drag/drop plots to dock/undock them etc, click the float/unfloat button, etc.
Note that if you are using Ubuntu22 please read the package doc-string for some kludge workarounds for Qt6 dockable windows and wayland issues
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Matlab like interactive plotting experience in Common Lisp using python+matplotlib
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