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squarify

Pure Python implementation of the squarify treemap layout algorithm.

Based on algorithm from Bruls, Huizing, van Wijk, "Squarified Treemaps", but implements it differently.

(Sensibility forked from laserson/squarify)

Installation

Compatible with Python 2 and Python 3.

Using pip:

pip install squarify

or using the source:

git clone git://github.com/laserson/squarify.git
cd squarify
python setup.py install

The last step may require sudo if you don't have root access. The setup.py script uses setuptools/distribute.

Usage

The main function is squarify and it takes two things:

  • A coordinate system comprising values for the origin (x and y) and the width/height (dx and dy).
  • A list of positive values sorted from largest to smallest and normalized to the total area, i.e., dx * dy).

The function returns a list of JSON objects, each one a rectangle with coordinates corresponding to the given coordinate system and area proportional to the corresponding value. Here's an example rectangle:

{
"x": 0.0,
"y": 0.0,
"dx": 327.7,
"dy": 433.0
}

The rectangles can be easily plotted using, for example, d3.js.

There is also a version of squarify called padded_squarify that returns rectangles that, when laid out, have a bit of padding to show their borders.

The helper function normalize_sizes will compute the normalized values.

Example

importsquarify# these values define the coordinate system for the returned rectangles# the values will range from x to x + width and y to y + heightx=0.y=0.width=700.height=433.values= [500, 433, 78, 25, 25, 7]
# values must be sorted descending (and positive, obviously)values.sort(reverse=True)
# the sum of the values must equal the total area to be laid out# i.e., sum(values) == width * heightvalues=squarify.normalize_sizes(values, width, height)
# returns a list of rectanglesrects=squarify.squarify(values, x, y, width, height)
# padded rectangles will probably visualize better for certain casespadded_rects=squarify.padded_squarify(values, x, y, width, height)

The variable rects contains

[
{
"dy": 433,
"dx": 327.7153558052434,
"x": 0,
"y": 0
},
{
"dy": 330.0862676056338,
"dx": 372.2846441947566,
"x": 327.7153558052434,
"y": 0
},
{
"dy": 102.9137323943662,
"dx": 215.0977944236371,
"x": 327.7153558052434,
"y": 330.0862676056338
},
{
"dy": 102.9137323943662,
"dx": 68.94160077680677,
"x": 542.8131502288805,
"y": 330.0862676056338
},
{
"dy": 80.40135343309854,
"dx": 88.24524899431273,
"x": 611.7547510056874,
"y": 330.0862676056338
},
{
"dy": 22.51237896126767,
"dx": 88.2452489943124,
"x": 611.7547510056874,
"y": 410.4876210387323
}
]

About

Pure Python implementation of the squarify treemap layout algorithm

Resources

Readme
License
Activity
Custom properties

Stars

1 star

Watchers

2 watching

Forks

0 forks
Report repository

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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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Repository files navigation
squarify
Pure Python implementation of the squarify treemap layout algorithm.
Based on algorithm from Bruls, Huizing, van Wijk, "Squarified Treemaps", but
implements it differently.
(Sensibility forked from laserson/squarify)
Installation
Compatible with Python 2 and Python 3.
Using pip:
pip install squarify

or using the source:
git clone git://github.com/laserson/squarify.git
cd squarify
python setup.py install

The last step may require sudo if you don't have root access. The setup.py
script uses setuptools/distribute.
Usage
The main function is squarify and it takes two things:
  • A coordinate system comprising values for the origin (x and y) and the
width/height (dx and dy).
  • A list of positive values sorted from largest to smallest and normalized to
the total area, i.e., dx * dy).
The function returns a list of JSON objects, each one a rectangle with
coordinates corresponding to the given coordinate system and area proportional
to the corresponding value. Here's an example rectangle:
{
"x": 0.0,
"y": 0.0,
"dx": 327.7,
"dy": 433.0
}
The rectangles can be easily plotted using, for example, d3.js.
There is also a version of squarify called padded_squarify that returns
rectangles that, when laid out, have a bit of padding to show their borders.
The helper function normalize_sizes will compute the normalized values.
Example
importsquarify# these values define the coordinate system for the returned rectangles# the values will range from x to x + width and y to y + heightx=0.y=0.width=700.height=433.values= [500, 433, 78, 25, 25, 7]
# values must be sorted descending (and positive, obviously)values.sort(reverse=True)
# the sum of the values must equal the total area to be laid out# i.e., sum(values) == width * heightvalues=squarify.normalize_sizes(values, width, height)
# returns a list of rectanglesrects=squarify.squarify(values, x, y, width, height)
# padded rectangles will probably visualize better for certain casespadded_rects=squarify.padded_squarify(values, x, y, width, height)
The variable rects contains
[
{
"dy": 433,
"dx": 327.7153558052434,
"x": 0,
"y": 0
},
{
"dy": 330.0862676056338,
"dx": 372.2846441947566,
"x": 327.7153558052434,
"y": 0
},
{
"dy": 102.9137323943662,
"dx": 215.0977944236371,
"x": 327.7153558052434,
"y": 330.0862676056338
},
{
"dy": 102.9137323943662,
"dx": 68.94160077680677,
"x": 542.8131502288805,
"y": 330.0862676056338
},
{
"dy": 80.40135343309854,
"dx": 88.24524899431273,
"x": 611.7547510056874,
"y": 330.0862676056338
},
{
"dy": 22.51237896126767,
"dx": 88.2452489943124,
"x": 611.7547510056874,
"y": 410.4876210387323
}
]
About
Pure Python implementation of the squarify treemap layout algorithm
Resources
Readme
License
Activity
Custom properties
Stars
1 star
Watchers
2 watching
Forks
0 forks
Report repository
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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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setup.py
Repository files navigation
squarify
Pure Python implementation of the squarify treemap layout algorithm.
Based on algorithm from Bruls, Huizing, van Wijk, "Squarified Treemaps", but
implements it differently.
(Sensibility forked from laserson/squarify)
Installation
Compatible with Python 2 and Python 3.
Using pip:
pip install squarify

or using the source:
git clone git://github.com/laserson/squarify.git
cd squarify
python setup.py install

The last step may require sudo if you don't have root access. The setup.py
script uses setuptools/distribute.
Usage
The main function is squarify and it takes two things:
  • A coordinate system comprising values for the origin (x and y) and the
width/height (dx and dy).
  • A list of positive values sorted from largest to smallest and normalized to
the total area, i.e., dx * dy).
The function returns a list of JSON objects, each one a rectangle with
coordinates corresponding to the given coordinate system and area proportional
to the corresponding value. Here's an example rectangle:
{
"x": 0.0,
"y": 0.0,
"dx": 327.7,
"dy": 433.0
}
The rectangles can be easily plotted using, for example, d3.js.
There is also a version of squarify called padded_squarify that returns
rectangles that, when laid out, have a bit of padding to show their borders.
The helper function normalize_sizes will compute the normalized values.
Example
importsquarify# these values define the coordinate system for the returned rectangles# the values will range from x to x + width and y to y + heightx=0.y=0.width=700.height=433.values= [500, 433, 78, 25, 25, 7]
# values must be sorted descending (and positive, obviously)values.sort(reverse=True)
# the sum of the values must equal the total area to be laid out# i.e., sum(values) == width * heightvalues=squarify.normalize_sizes(values, width, height)
# returns a list of rectanglesrects=squarify.squarify(values, x, y, width, height)
# padded rectangles will probably visualize better for certain casespadded_rects=squarify.padded_squarify(values, x, y, width, height)
The variable rects contains
[
{
"dy": 433,
"dx": 327.7153558052434,
"x": 0,
"y": 0
},
{
"dy": 330.0862676056338,
"dx": 372.2846441947566,
"x": 327.7153558052434,
"y": 0
},
{
"dy": 102.9137323943662,
"dx": 215.0977944236371,
"x": 327.7153558052434,
"y": 330.0862676056338
},
{
"dy": 102.9137323943662,
"dx": 68.94160077680677,
"x": 542.8131502288805,
"y": 330.0862676056338
},
{
"dy": 80.40135343309854,
"dx": 88.24524899431273,
"x": 611.7547510056874,
"y": 330.0862676056338
},
{
"dy": 22.51237896126767,
"dx": 88.2452489943124,
"x": 611.7547510056874,
"y": 410.4876210387323
}
]
About
Pure Python implementation of the squarify treemap layout algorithm
Resources
Readme
License
Activity
Custom properties
Stars
1 star
Watchers
2 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, '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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setup.py
Repository files navigation
squarify
Pure Python implementation of the squarify treemap layout algorithm.
Based on algorithm from Bruls, Huizing, van Wijk, "Squarified Treemaps", but
implements it differently.
(Sensibility forked from laserson/squarify)
Installation
Compatible with Python 2 and Python 3.
Using pip:
pip install squarify

or using the source:
git clone git://github.com/laserson/squarify.git
cd squarify
python setup.py install

The last step may require sudo if you don't have root access. The setup.py
script uses setuptools/distribute.
Usage
The main function is squarify and it takes two things:
  • A coordinate system comprising values for the origin (x and y) and the
width/height (dx and dy).
  • A list of positive values sorted from largest to smallest and normalized to
the total area, i.e., dx * dy).
The function returns a list of JSON objects, each one a rectangle with
coordinates corresponding to the given coordinate system and area proportional
to the corresponding value. Here's an example rectangle:
{
"x": 0.0,
"y": 0.0,
"dx": 327.7,
"dy": 433.0
}
The rectangles can be easily plotted using, for example, d3.js.
There is also a version of squarify called padded_squarify that returns
rectangles that, when laid out, have a bit of padding to show their borders.
The helper function normalize_sizes will compute the normalized values.
Example
importsquarify# these values define the coordinate system for the returned rectangles# the values will range from x to x + width and y to y + heightx=0.y=0.width=700.height=433.values= [500, 433, 78, 25, 25, 7]
# values must be sorted descending (and positive, obviously)values.sort(reverse=True)
# the sum of the values must equal the total area to be laid out# i.e., sum(values) == width * heightvalues=squarify.normalize_sizes(values, width, height)
# returns a list of rectanglesrects=squarify.squarify(values, x, y, width, height)
# padded rectangles will probably visualize better for certain casespadded_rects=squarify.padded_squarify(values, x, y, width, height)
The variable rects contains
[
{
"dy": 433,
"dx": 327.7153558052434,
"x": 0,
"y": 0
},
{
"dy": 330.0862676056338,
"dx": 372.2846441947566,
"x": 327.7153558052434,
"y": 0
},
{
"dy": 102.9137323943662,
"dx": 215.0977944236371,
"x": 327.7153558052434,
"y": 330.0862676056338
},
{
"dy": 102.9137323943662,
"dx": 68.94160077680677,
"x": 542.8131502288805,
"y": 330.0862676056338
},
{
"dy": 80.40135343309854,
"dx": 88.24524899431273,
"x": 611.7547510056874,
"y": 330.0862676056338
},
{
"dy": 22.51237896126767,
"dx": 88.2452489943124,
"x": 611.7547510056874,
"y": 410.4876210387323
}
]
About
Pure Python implementation of the squarify treemap layout algorithm
Resources
Readme
License
Activity
Custom properties
Stars
1 star
Watchers
2 watching
Forks
0 forks
Report repository
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Packages
Contributors
Languages

, '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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31 Commits
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setup.py
Repository files navigation
squarify
Pure Python implementation of the squarify treemap layout algorithm.
Based on algorithm from Bruls, Huizing, van Wijk, "Squarified Treemaps", but
implements it differently.
(Sensibility forked from laserson/squarify)
Installation
Compatible with Python 2 and Python 3.
Using pip:
pip install squarify

or using the source:
git clone git://github.com/laserson/squarify.git
cd squarify
python setup.py install

The last step may require sudo if you don't have root access. The setup.py
script uses setuptools/distribute.
Usage
The main function is squarify and it takes two things:
  • A coordinate system comprising values for the origin (x and y) and the
width/height (dx and dy).
  • A list of positive values sorted from largest to smallest and normalized to
the total area, i.e., dx * dy).
The function returns a list of JSON objects, each one a rectangle with
coordinates corresponding to the given coordinate system and area proportional
to the corresponding value. Here's an example rectangle:
{
"x": 0.0,
"y": 0.0,
"dx": 327.7,
"dy": 433.0
}
The rectangles can be easily plotted using, for example, d3.js.
There is also a version of squarify called padded_squarify that returns
rectangles that, when laid out, have a bit of padding to show their borders.
The helper function normalize_sizes will compute the normalized values.
Example
importsquarify# these values define the coordinate system for the returned rectangles# the values will range from x to x + width and y to y + heightx=0.y=0.width=700.height=433.values= [500, 433, 78, 25, 25, 7]
# values must be sorted descending (and positive, obviously)values.sort(reverse=True)
# the sum of the values must equal the total area to be laid out# i.e., sum(values) == width * heightvalues=squarify.normalize_sizes(values, width, height)
# returns a list of rectanglesrects=squarify.squarify(values, x, y, width, height)
# padded rectangles will probably visualize better for certain casespadded_rects=squarify.padded_squarify(values, x, y, width, height)
The variable rects contains
[
{
"dy": 433,
"dx": 327.7153558052434,
"x": 0,
"y": 0
},
{
"dy": 330.0862676056338,
"dx": 372.2846441947566,
"x": 327.7153558052434,
"y": 0
},
{
"dy": 102.9137323943662,
"dx": 215.0977944236371,
"x": 327.7153558052434,
"y": 330.0862676056338
},
{
"dy": 102.9137323943662,
"dx": 68.94160077680677,
"x": 542.8131502288805,
"y": 330.0862676056338
},
{
"dy": 80.40135343309854,
"dx": 88.24524899431273,
"x": 611.7547510056874,
"y": 330.0862676056338
},
{
"dy": 22.51237896126767,
"dx": 88.2452489943124,
"x": 611.7547510056874,
"y": 410.4876210387323
}
]
About
Pure Python implementation of the squarify treemap layout algorithm
Resources
Readme
License
Activity
Custom properties
Stars
1 star
Watchers
2 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, '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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squarify
Pure Python implementation of the squarify treemap layout algorithm.
Based on algorithm from Bruls, Huizing, van Wijk, "Squarified Treemaps", but
implements it differently.
(Sensibility forked from laserson/squarify)
Installation
Compatible with Python 2 and Python 3.
Using pip:
pip install squarify

or using the source:
git clone git://github.com/laserson/squarify.git
cd squarify
python setup.py install

The last step may require sudo if you don't have root access. The setup.py
script uses setuptools/distribute.
Usage
The main function is squarify and it takes two things:
  • A coordinate system comprising values for the origin (x and y) and the
width/height (dx and dy).
  • A list of positive values sorted from largest to smallest and normalized to
the total area, i.e., dx * dy).
The function returns a list of JSON objects, each one a rectangle with
coordinates corresponding to the given coordinate system and area proportional
to the corresponding value. Here's an example rectangle:
{
"x": 0.0,
"y": 0.0,
"dx": 327.7,
"dy": 433.0
}
The rectangles can be easily plotted using, for example, d3.js.
There is also a version of squarify called padded_squarify that returns
rectangles that, when laid out, have a bit of padding to show their borders.
The helper function normalize_sizes will compute the normalized values.
Example
importsquarify# these values define the coordinate system for the returned rectangles# the values will range from x to x + width and y to y + heightx=0.y=0.width=700.height=433.values= [500, 433, 78, 25, 25, 7]
# values must be sorted descending (and positive, obviously)values.sort(reverse=True)
# the sum of the values must equal the total area to be laid out# i.e., sum(values) == width * heightvalues=squarify.normalize_sizes(values, width, height)
# returns a list of rectanglesrects=squarify.squarify(values, x, y, width, height)
# padded rectangles will probably visualize better for certain casespadded_rects=squarify.padded_squarify(values, x, y, width, height)
The variable rects contains
[
{
"dy": 433,
"dx": 327.7153558052434,
"x": 0,
"y": 0
},
{
"dy": 330.0862676056338,
"dx": 372.2846441947566,
"x": 327.7153558052434,
"y": 0
},
{
"dy": 102.9137323943662,
"dx": 215.0977944236371,
"x": 327.7153558052434,
"y": 330.0862676056338
},
{
"dy": 102.9137323943662,
"dx": 68.94160077680677,
"x": 542.8131502288805,
"y": 330.0862676056338
},
{
"dy": 80.40135343309854,
"dx": 88.24524899431273,
"x": 611.7547510056874,
"y": 330.0862676056338
},
{
"dy": 22.51237896126767,
"dx": 88.2452489943124,
"x": 611.7547510056874,
"y": 410.4876210387323
}
]
About
Pure Python implementation of the squarify treemap layout algorithm
Resources
Readme
License
Activity
Custom properties
Stars
1 star
Watchers
2 watching
Forks
0 forks
Report repository
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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");
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var __m = "*";
var __re = new RegExp('^' + ".*" + '

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README.md
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Repository files navigation
squarify
Pure Python implementation of the squarify treemap layout algorithm.
Based on algorithm from Bruls, Huizing, van Wijk, "Squarified Treemaps", but
implements it differently.
(Sensibility forked from laserson/squarify)
Installation
Compatible with Python 2 and Python 3.
Using pip:
pip install squarify

or using the source:
git clone git://github.com/laserson/squarify.git
cd squarify
python setup.py install

The last step may require sudo if you don't have root access. The setup.py
script uses setuptools/distribute.
Usage
The main function is squarify and it takes two things:
  • A coordinate system comprising values for the origin (x and y) and the
width/height (dx and dy).
  • A list of positive values sorted from largest to smallest and normalized to
the total area, i.e., dx * dy).
The function returns a list of JSON objects, each one a rectangle with
coordinates corresponding to the given coordinate system and area proportional
to the corresponding value. Here's an example rectangle:
{
"x": 0.0,
"y": 0.0,
"dx": 327.7,
"dy": 433.0
}
The rectangles can be easily plotted using, for example, d3.js.
There is also a version of squarify called padded_squarify that returns
rectangles that, when laid out, have a bit of padding to show their borders.
The helper function normalize_sizes will compute the normalized values.
Example
importsquarify# these values define the coordinate system for the returned rectangles# the values will range from x to x + width and y to y + heightx=0.y=0.width=700.height=433.values= [500, 433, 78, 25, 25, 7]
# values must be sorted descending (and positive, obviously)values.sort(reverse=True)
# the sum of the values must equal the total area to be laid out# i.e., sum(values) == width * heightvalues=squarify.normalize_sizes(values, width, height)
# returns a list of rectanglesrects=squarify.squarify(values, x, y, width, height)
# padded rectangles will probably visualize better for certain casespadded_rects=squarify.padded_squarify(values, x, y, width, height)
The variable rects contains
[
{
"dy": 433,
"dx": 327.7153558052434,
"x": 0,
"y": 0
},
{
"dy": 330.0862676056338,
"dx": 372.2846441947566,
"x": 327.7153558052434,
"y": 0
},
{
"dy": 102.9137323943662,
"dx": 215.0977944236371,
"x": 327.7153558052434,
"y": 330.0862676056338
},
{
"dy": 102.9137323943662,
"dx": 68.94160077680677,
"x": 542.8131502288805,
"y": 330.0862676056338
},
{
"dy": 80.40135343309854,
"dx": 88.24524899431273,
"x": 611.7547510056874,
"y": 330.0862676056338
},
{
"dy": 22.51237896126767,
"dx": 88.2452489943124,
"x": 611.7547510056874,
"y": 410.4876210387323
}
]
About
Pure Python implementation of the squarify treemap layout algorithm
Resources
Readme
License
Activity
Custom properties
Stars
1 star
Watchers
2 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, '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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31 Commits
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squarify
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MANIFEST.in
README.md
README.md
setup.py
setup.py
Repository files navigation
squarify
Pure Python implementation of the squarify treemap layout algorithm.
Based on algorithm from Bruls, Huizing, van Wijk, "Squarified Treemaps", but
implements it differently.
(Sensibility forked from laserson/squarify)
Installation
Compatible with Python 2 and Python 3.
Using pip:
pip install squarify

or using the source:
git clone git://github.com/laserson/squarify.git
cd squarify
python setup.py install

The last step may require sudo if you don't have root access. The setup.py
script uses setuptools/distribute.
Usage
The main function is squarify and it takes two things:
  • A coordinate system comprising values for the origin (x and y) and the
width/height (dx and dy).
  • A list of positive values sorted from largest to smallest and normalized to
the total area, i.e., dx * dy).
The function returns a list of JSON objects, each one a rectangle with
coordinates corresponding to the given coordinate system and area proportional
to the corresponding value. Here's an example rectangle:
{
"x": 0.0,
"y": 0.0,
"dx": 327.7,
"dy": 433.0
}
The rectangles can be easily plotted using, for example, d3.js.
There is also a version of squarify called padded_squarify that returns
rectangles that, when laid out, have a bit of padding to show their borders.
The helper function normalize_sizes will compute the normalized values.
Example
importsquarify# these values define the coordinate system for the returned rectangles# the values will range from x to x + width and y to y + heightx=0.y=0.width=700.height=433.values= [500, 433, 78, 25, 25, 7]
# values must be sorted descending (and positive, obviously)values.sort(reverse=True)
# the sum of the values must equal the total area to be laid out# i.e., sum(values) == width * heightvalues=squarify.normalize_sizes(values, width, height)
# returns a list of rectanglesrects=squarify.squarify(values, x, y, width, height)
# padded rectangles will probably visualize better for certain casespadded_rects=squarify.padded_squarify(values, x, y, width, height)
The variable rects contains
[
{
"dy": 433,
"dx": 327.7153558052434,
"x": 0,
"y": 0
},
{
"dy": 330.0862676056338,
"dx": 372.2846441947566,
"x": 327.7153558052434,
"y": 0
},
{
"dy": 102.9137323943662,
"dx": 215.0977944236371,
"x": 327.7153558052434,
"y": 330.0862676056338
},
{
"dy": 102.9137323943662,
"dx": 68.94160077680677,
"x": 542.8131502288805,
"y": 330.0862676056338
},
{
"dy": 80.40135343309854,
"dx": 88.24524899431273,
"x": 611.7547510056874,
"y": 330.0862676056338
},
{
"dy": 22.51237896126767,
"dx": 88.2452489943124,
"x": 611.7547510056874,
"y": 410.4876210387323
}
]
About
Pure Python implementation of the squarify treemap layout algorithm
Resources
Readme
License
Activity
Custom properties
Stars
1 star
Watchers
2 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages