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**********************************************************
*** Direct questions or suggestions to dan@stahlke.org ***
**********************************************************
Gnuplot-Iostream Interface
==========================
This interface allows gnuplot to be controlled from C++ and is designed to
be the lowest hanging fruit. In other words, if you know how gnuplot works
it should only take 30 seconds to learn this library. Basically it is just
an iostream pipe to gnuplot with some extra functions for pushing data
arrays and getting mouse clicks. Data sources include STL containers (eg.
vector), Blitz++, Eigen, and armadillo. You can use nested data types like
std::vector<std::vector<std::pair<double, double>>> (as well as even more
exotic types). Support for custom data types is possible.
This is a low level interface, and usage involves manually sending commands
to gnuplot using the "<<" operator (so you need to know gnuplot syntax).
This is in my opinion the easiest way to do it if you are already
comfortable with using gnuplot. If you would like a more high level interface
check out the gnuplot-cpp library (http://code.google.com/p/gnuplot-cpp).
Documentation is available at http://www.stahlke.org/dan/gnuplot-iostream
but also you can look at the example programs (starting with
"example-misc.cc").
Getting the source code
=======================
git clone https://github.com/dstahlke/gnuplot-iostream.git
Usage
=====
See the examples source code for a quick intro. Documentation is at
the project home page http://www.stahlke.org/dan/gnuplot-iostream .
To build examples just type 'make'. There is an option you can edit in the
Makefile to enable extra demos that require optional libraries.
Note for Windows users
======================
Windows support basically works, but there are some troubles. For hints, see:
https://github.com/dstahlke/gnuplot-iostream/wiki/Portability
Contributors
============
Dan Stahlke (dan@stahlke.org)
Jens Mueller
Robbie Morrison
Daniel Di Marco
Sylwester Arabas

About

C++ interface to gnuplot

www.stahlke.org/dan/gnuplot-iostream/

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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" + '

Skip to content
BranchesTags
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**********************************************************
*** Direct questions or suggestions to dan@stahlke.org ***
**********************************************************
Gnuplot-Iostream Interface
==========================
This interface allows gnuplot to be controlled from C++ and is designed to
be the lowest hanging fruit. In other words, if you know how gnuplot works
it should only take 30 seconds to learn this library. Basically it is just
an iostream pipe to gnuplot with some extra functions for pushing data
arrays and getting mouse clicks. Data sources include STL containers (eg.
vector), Blitz++, Eigen, and armadillo. You can use nested data types like
std::vector<std::vector<std::pair<double, double>>> (as well as even more
exotic types). Support for custom data types is possible.
This is a low level interface, and usage involves manually sending commands
to gnuplot using the "<<" operator (so you need to know gnuplot syntax).
This is in my opinion the easiest way to do it if you are already
comfortable with using gnuplot. If you would like a more high level interface
check out the gnuplot-cpp library (http://code.google.com/p/gnuplot-cpp).
Documentation is available at http://www.stahlke.org/dan/gnuplot-iostream
but also you can look at the example programs (starting with
"example-misc.cc").
Getting the source code
=======================
git clone https://github.com/dstahlke/gnuplot-iostream.git
Usage
=====
See the examples source code for a quick intro. Documentation is at
the project home page http://www.stahlke.org/dan/gnuplot-iostream .
To build examples just type 'make'. There is an option you can edit in the
Makefile to enable extra demos that require optional libraries.
Note for Windows users
======================
Windows support basically works, but there are some troubles. For hints, see:
https://github.com/dstahlke/gnuplot-iostream/wiki/Portability
Contributors
============
Dan Stahlke (dan@stahlke.org)
Jens Mueller
Robbie Morrison
Daniel Di Marco
Sylwester Arabas

About
C++ interface to gnuplot
www.stahlke.org/dan/gnuplot-iostream/
Resources
Readme
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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('^' + ".*" + '

Skip to content
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**********************************************************
*** Direct questions or suggestions to dan@stahlke.org ***
**********************************************************
Gnuplot-Iostream Interface
==========================
This interface allows gnuplot to be controlled from C++ and is designed to
be the lowest hanging fruit. In other words, if you know how gnuplot works
it should only take 30 seconds to learn this library. Basically it is just
an iostream pipe to gnuplot with some extra functions for pushing data
arrays and getting mouse clicks. Data sources include STL containers (eg.
vector), Blitz++, Eigen, and armadillo. You can use nested data types like
std::vector<std::vector<std::pair<double, double>>> (as well as even more
exotic types). Support for custom data types is possible.
This is a low level interface, and usage involves manually sending commands
to gnuplot using the "<<" operator (so you need to know gnuplot syntax).
This is in my opinion the easiest way to do it if you are already
comfortable with using gnuplot. If you would like a more high level interface
check out the gnuplot-cpp library (http://code.google.com/p/gnuplot-cpp).
Documentation is available at http://www.stahlke.org/dan/gnuplot-iostream
but also you can look at the example programs (starting with
"example-misc.cc").
Getting the source code
=======================
git clone https://github.com/dstahlke/gnuplot-iostream.git
Usage
=====
See the examples source code for a quick intro. Documentation is at
the project home page http://www.stahlke.org/dan/gnuplot-iostream .
To build examples just type 'make'. There is an option you can edit in the
Makefile to enable extra demos that require optional libraries.
Note for Windows users
======================
Windows support basically works, but there are some troubles. For hints, see:
https://github.com/dstahlke/gnuplot-iostream/wiki/Portability
Contributors
============
Dan Stahlke (dan@stahlke.org)
Jens Mueller
Robbie Morrison
Daniel Di Marco
Sylwester Arabas

About
C++ interface to gnuplot
www.stahlke.org/dan/gnuplot-iostream/
Resources
Readme
License
Activity
Stars
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0 watching
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0 forks
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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('^' + ".*" + '

Skip to content
BranchesTags
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**********************************************************
*** Direct questions or suggestions to dan@stahlke.org ***
**********************************************************
Gnuplot-Iostream Interface
==========================
This interface allows gnuplot to be controlled from C++ and is designed to
be the lowest hanging fruit. In other words, if you know how gnuplot works
it should only take 30 seconds to learn this library. Basically it is just
an iostream pipe to gnuplot with some extra functions for pushing data
arrays and getting mouse clicks. Data sources include STL containers (eg.
vector), Blitz++, Eigen, and armadillo. You can use nested data types like
std::vector<std::vector<std::pair<double, double>>> (as well as even more
exotic types). Support for custom data types is possible.
This is a low level interface, and usage involves manually sending commands
to gnuplot using the "<<" operator (so you need to know gnuplot syntax).
This is in my opinion the easiest way to do it if you are already
comfortable with using gnuplot. If you would like a more high level interface
check out the gnuplot-cpp library (http://code.google.com/p/gnuplot-cpp).
Documentation is available at http://www.stahlke.org/dan/gnuplot-iostream
but also you can look at the example programs (starting with
"example-misc.cc").
Getting the source code
=======================
git clone https://github.com/dstahlke/gnuplot-iostream.git
Usage
=====
See the examples source code for a quick intro. Documentation is at
the project home page http://www.stahlke.org/dan/gnuplot-iostream .
To build examples just type 'make'. There is an option you can edit in the
Makefile to enable extra demos that require optional libraries.
Note for Windows users
======================
Windows support basically works, but there are some troubles. For hints, see:
https://github.com/dstahlke/gnuplot-iostream/wiki/Portability
Contributors
============
Dan Stahlke (dan@stahlke.org)
Jens Mueller
Robbie Morrison
Daniel Di Marco
Sylwester Arabas

About
C++ interface to gnuplot
www.stahlke.org/dan/gnuplot-iostream/
Resources
Readme
License
Activity
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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" + '

Skip to content
BranchesTags
Repository files navigation
**********************************************************
*** Direct questions or suggestions to dan@stahlke.org ***
**********************************************************
Gnuplot-Iostream Interface
==========================
This interface allows gnuplot to be controlled from C++ and is designed to
be the lowest hanging fruit. In other words, if you know how gnuplot works
it should only take 30 seconds to learn this library. Basically it is just
an iostream pipe to gnuplot with some extra functions for pushing data
arrays and getting mouse clicks. Data sources include STL containers (eg.
vector), Blitz++, Eigen, and armadillo. You can use nested data types like
std::vector<std::vector<std::pair<double, double>>> (as well as even more
exotic types). Support for custom data types is possible.
This is a low level interface, and usage involves manually sending commands
to gnuplot using the "<<" operator (so you need to know gnuplot syntax).
This is in my opinion the easiest way to do it if you are already
comfortable with using gnuplot. If you would like a more high level interface
check out the gnuplot-cpp library (http://code.google.com/p/gnuplot-cpp).
Documentation is available at http://www.stahlke.org/dan/gnuplot-iostream
but also you can look at the example programs (starting with
"example-misc.cc").
Getting the source code
=======================
git clone https://github.com/dstahlke/gnuplot-iostream.git
Usage
=====
See the examples source code for a quick intro. Documentation is at
the project home page http://www.stahlke.org/dan/gnuplot-iostream .
To build examples just type 'make'. There is an option you can edit in the
Makefile to enable extra demos that require optional libraries.
Note for Windows users
======================
Windows support basically works, but there are some troubles. For hints, see:
https://github.com/dstahlke/gnuplot-iostream/wiki/Portability
Contributors
============
Dan Stahlke (dan@stahlke.org)
Jens Mueller
Robbie Morrison
Daniel Di Marco
Sylwester Arabas

About
C++ interface to gnuplot
www.stahlke.org/dan/gnuplot-iostream/
Resources
Readme
License
Activity
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Report repository
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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('^' + ".*" + '

Skip to content
BranchesTags
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**********************************************************
*** Direct questions or suggestions to dan@stahlke.org ***
**********************************************************
Gnuplot-Iostream Interface
==========================
This interface allows gnuplot to be controlled from C++ and is designed to
be the lowest hanging fruit. In other words, if you know how gnuplot works
it should only take 30 seconds to learn this library. Basically it is just
an iostream pipe to gnuplot with some extra functions for pushing data
arrays and getting mouse clicks. Data sources include STL containers (eg.
vector), Blitz++, Eigen, and armadillo. You can use nested data types like
std::vector<std::vector<std::pair<double, double>>> (as well as even more
exotic types). Support for custom data types is possible.
This is a low level interface, and usage involves manually sending commands
to gnuplot using the "<<" operator (so you need to know gnuplot syntax).
This is in my opinion the easiest way to do it if you are already
comfortable with using gnuplot. If you would like a more high level interface
check out the gnuplot-cpp library (http://code.google.com/p/gnuplot-cpp).
Documentation is available at http://www.stahlke.org/dan/gnuplot-iostream
but also you can look at the example programs (starting with
"example-misc.cc").
Getting the source code
=======================
git clone https://github.com/dstahlke/gnuplot-iostream.git
Usage
=====
See the examples source code for a quick intro. Documentation is at
the project home page http://www.stahlke.org/dan/gnuplot-iostream .
To build examples just type 'make'. There is an option you can edit in the
Makefile to enable extra demos that require optional libraries.
Note for Windows users
======================
Windows support basically works, but there are some troubles. For hints, see:
https://github.com/dstahlke/gnuplot-iostream/wiki/Portability
Contributors
============
Dan Stahlke (dan@stahlke.org)
Jens Mueller
Robbie Morrison
Daniel Di Marco
Sylwester Arabas

About
C++ interface to gnuplot
www.stahlke.org/dan/gnuplot-iostream/
Resources
Readme
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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('^' + ".*" + '

Skip to content
BranchesTags
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**********************************************************
*** Direct questions or suggestions to dan@stahlke.org ***
**********************************************************
Gnuplot-Iostream Interface
==========================
This interface allows gnuplot to be controlled from C++ and is designed to
be the lowest hanging fruit. In other words, if you know how gnuplot works
it should only take 30 seconds to learn this library. Basically it is just
an iostream pipe to gnuplot with some extra functions for pushing data
arrays and getting mouse clicks. Data sources include STL containers (eg.
vector), Blitz++, Eigen, and armadillo. You can use nested data types like
std::vector<std::vector<std::pair<double, double>>> (as well as even more
exotic types). Support for custom data types is possible.
This is a low level interface, and usage involves manually sending commands
to gnuplot using the "<<" operator (so you need to know gnuplot syntax).
This is in my opinion the easiest way to do it if you are already
comfortable with using gnuplot. If you would like a more high level interface
check out the gnuplot-cpp library (http://code.google.com/p/gnuplot-cpp).
Documentation is available at http://www.stahlke.org/dan/gnuplot-iostream
but also you can look at the example programs (starting with
"example-misc.cc").
Getting the source code
=======================
git clone https://github.com/dstahlke/gnuplot-iostream.git
Usage
=====
See the examples source code for a quick intro. Documentation is at
the project home page http://www.stahlke.org/dan/gnuplot-iostream .
To build examples just type 'make'. There is an option you can edit in the
Makefile to enable extra demos that require optional libraries.
Note for Windows users
======================
Windows support basically works, but there are some troubles. For hints, see:
https://github.com/dstahlke/gnuplot-iostream/wiki/Portability
Contributors
============
Dan Stahlke (dan@stahlke.org)
Jens Mueller
Robbie Morrison
Daniel Di Marco
Sylwester Arabas

About
C++ interface to gnuplot
www.stahlke.org/dan/gnuplot-iostream/
Resources
Readme
License
Activity
Stars
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0 watching
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Report repository
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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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**********************************************************
*** Direct questions or suggestions to dan@stahlke.org ***
**********************************************************
Gnuplot-Iostream Interface
==========================
This interface allows gnuplot to be controlled from C++ and is designed to
be the lowest hanging fruit. In other words, if you know how gnuplot works
it should only take 30 seconds to learn this library. Basically it is just
an iostream pipe to gnuplot with some extra functions for pushing data
arrays and getting mouse clicks. Data sources include STL containers (eg.
vector), Blitz++, Eigen, and armadillo. You can use nested data types like
std::vector<std::vector<std::pair<double, double>>> (as well as even more
exotic types). Support for custom data types is possible.
This is a low level interface, and usage involves manually sending commands
to gnuplot using the "<<" operator (so you need to know gnuplot syntax).
This is in my opinion the easiest way to do it if you are already
comfortable with using gnuplot. If you would like a more high level interface
check out the gnuplot-cpp library (http://code.google.com/p/gnuplot-cpp).
Documentation is available at http://www.stahlke.org/dan/gnuplot-iostream
but also you can look at the example programs (starting with
"example-misc.cc").
Getting the source code
=======================
git clone https://github.com/dstahlke/gnuplot-iostream.git
Usage
=====
See the examples source code for a quick intro. Documentation is at
the project home page http://www.stahlke.org/dan/gnuplot-iostream .
To build examples just type 'make'. There is an option you can edit in the
Makefile to enable extra demos that require optional libraries.
Note for Windows users
======================
Windows support basically works, but there are some troubles. For hints, see:
https://github.com/dstahlke/gnuplot-iostream/wiki/Portability
Contributors
============
Dan Stahlke (dan@stahlke.org)
Jens Mueller
Robbie Morrison
Daniel Di Marco
Sylwester Arabas

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C++ interface to gnuplot
www.stahlke.org/dan/gnuplot-iostream/
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