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Tag cloud/Wordle presentation on 2D canvas or HTML
A little word cloud generator in Python
Quick Overview
D3-cloud is a word cloud layout visualization plugin for D3.js. It allows users to create customizable word clouds where the size and position of words are determined by their frequency or importance. This project extends D3's capabilities by providing a specialized layout for text-based visualizations.
Pros
- Easy integration with existing D3.js projects
- Highly customizable, allowing control over font, size, color, and rotation of words
- Efficient layout algorithm for positioning words
- Supports both client-side and server-side rendering
Cons
- Requires knowledge of D3.js for full utilization
- Limited documentation and examples
- Not actively maintained (last commit was in 2019)
- Performance may degrade with very large datasets
Code Examples
Creating a basic word cloud:
d3.layout.cloud()
.size([800, 400])
.words([
"Hello", "world", "normally", "you", "want", "more", "words",
"than", "this"].map(function(d) {
return {text: d, size: 10 + Math.random() * 90};
}))
.padding(5)
.rotate(function() { return ~~(Math.random() * 2) * 90; })
.font("Impact")
.fontSize(function(d) { return d.size; })
.on("end", draw)
.start();
Customizing word colors:
d3.layout.cloud()
// ... other configuration ...
.fontSize(function(d) { return d.size; })
.on("end", function(words) {
d3.select("#cloud")
.append("svg")
.attr("width", layout.size()[0])
.attr("height", layout.size()[1])
.append("g")
.attr("transform", "translate(" + layout.size()[0] / 2 + "," + layout.size()[1] / 2 + ")")
.selectAll("text")
.data(words)
.enter().append("text")
.style("font-size", function(d) { return d.size + "px"; })
.style("font-family", "Impact")
.style("fill", function(d, i) { return d3.schemeCategory10[i % 10]; })
.attr("text-anchor", "middle")
.attr("transform", function(d) {
return "translate(" + [d.x, d.y] + ")rotate(" + d.rotate + ")";
})
.text(function(d) { return d.text; });
})
.start();
Getting Started
-
Include D3.js and d3.layout.cloud.js in your HTML:
<script src="https://d3js.org/d3.v5.min.js"></script> <script src="https://cdn.jsdelivr.net/gh/jasondavies/d3-cloud/build/d3.layout.cloud.js"></script>
-
Create a container for your word cloud:
<div id="cloud"></div>
-
Use the code examples above to generate your word cloud, adjusting parameters as needed.
-
For more advanced usage, refer to the project's GitHub repository and explore the available options and methods.
Competitor Comparisons
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Pros of d3
- Comprehensive data visualization library with a wide range of chart types and features
- Large and active community, extensive documentation, and numerous examples
- Modular design allows for using only the required components
Cons of d3
- Steeper learning curve due to its extensive API and low-level approach
- Requires more code to create visualizations compared to specialized libraries
- May be overkill for simple projects or specific visualization types
Code Comparison
d3-cloud:
d3.layout.cloud()
.size([800, 600])
.words(words)
.padding(5)
.rotate(function() { return ~~(Math.random() * 2) * 90; })
.font("Impact")
.fontSize(function(d) { return d.size; })
.on("end", draw)
.start();
d3:
d3.select("body")
.selectAll("p")
.data(data)
.enter()
.append("p")
.text(function(d) { return d; });
Summary
d3 is a powerful and versatile data visualization library, offering a wide range of possibilities for creating complex visualizations. However, it may be more challenging to learn and implement compared to specialized libraries like d3-cloud. d3-cloud focuses specifically on creating word clouds, providing a simpler API for this particular visualization type. The choice between the two depends on the project requirements, desired flexibility, and the developer's familiarity with data visualization concepts.
Tag cloud/Wordle presentation on 2D canvas or HTML
Pros of wordcloud2.js
- Lightweight and standalone, with no dependencies
- Supports multiple canvas shapes (rectangular, circular)
- Offers more customization options for word placement and styling
Cons of wordcloud2.js
- Less integration with data visualization ecosystems
- May have performance limitations for very large datasets
- Less active development and community support
Code Comparison
d3-cloud:
d3.layout.cloud()
.size([800, 300])
.words(words)
.padding(5)
.rotate(function() { return ~~(Math.random() * 2) * 90; })
.font("Impact")
.fontSize(function(d) { return d.size; })
.on("end", draw)
.start();
wordcloud2.js:
WordCloud(document.getElementById('canvas'), {
list: words,
gridSize: 16,
weightFactor: 10,
fontFamily: 'Times, serif',
color: 'random-dark',
rotateRatio: 0.5,
backgroundColor: '#ffe'
});
Both libraries offer straightforward APIs for creating word clouds, but d3-cloud integrates more seamlessly with D3.js, while wordcloud2.js provides a more standalone solution with additional customization options. The choice between them depends on project requirements and existing technology stack.
A little word cloud generator in Python
Pros of word_cloud
- Python-based, making it easier to integrate with data science workflows
- Supports various input formats (text, frequencies, images)
- Offers more customization options for shape, color, and font
Cons of word_cloud
- Lacks real-time interactivity
- May require additional libraries for web integration
- Limited animation capabilities
Code Comparison
word_cloud:
from wordcloud import WordCloud
wordcloud = WordCloud().generate(text)
plt.imshow(wordcloud, interpolation='bilinear')
plt.axis("off")
plt.show()
d3-cloud:
d3.layout.cloud()
.size([800, 300])
.words(words)
.padding(5)
.rotate(function() { return ~~(Math.random() * 2) * 90; })
.font("Impact")
.fontSize(function(d) { return d.size; })
.on("end", draw)
.start();
Key Differences
- d3-cloud is JavaScript-based, ideal for web applications
- word_cloud offers more built-in customization options
- d3-cloud provides better support for interactive and animated visualizations
- word_cloud is more suitable for static image generation and data analysis tasks
Both libraries are popular choices for creating word clouds, with the selection depending on the specific use case and development environment.
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Word Cloud Layout
This is a Wordle-inspired word cloud layout written in JavaScript. It uses HTML5 canvas and sprite masks to achieve near-interactive speeds.
See here for an interactive demonstration along with implementation details.
Usage
See the samples in examples/
.
API Reference
# d3.layout.cloud()
Constructs a new cloud layout instance.
# on(type, listener)
Registers the specified listener to receive events of the specified type from the layout. Currently, only "word" and "end" events are supported.
A "word" event is dispatched every time a word is successfully placed. Registered listeners are called with a single argument: the word object that has been placed.
An "end" event is dispatched when the layout has finished attempting to place
all words. Registered listeners are called with two arguments: an array of the
word objects that were successfully placed, and a bounds object of the form
[{x0, y0}, {x1, y1}]
representing the extent of the placed objects.
# start()
Starts the layout algorithm. This initialises various attributes on the word objects, and attempts to place each word, starting with the largest word. Starting with the centre of the rectangular area, each word is tested for collisions with all previously-placed words. If a collision is found, it tries to place the word in a new position along the spiral.
Note: if a word cannot be placed in any of the positions attempted along the spiral, it is not included in the final word layout. This may be addressed in a future release.
# stop()
Stops the layout algorithm.
# timeInterval([time])
Internally, the layout uses setInterval
to avoid locking up the browserâs
event loop. If specified, time is the maximum amount of time that can be
spent during the current timestep. If not specified, returns the current
maximum time interval, which defaults to Infinity
.
# words([words])
If specified, sets the words array. If not specified, returns the current
words array, which defaults to []
.
# size([size])
If specified, sets the rectangular [width, height]
of the layout. If not
specified, returns the current size, which defaults to [1, 1]
.
# font([font])
If specified, sets the font accessor function, which indicates the font
face for each word. If not specified, returns the current font accessor
function, which defaults to "serif"
.
A constant may be specified instead of a function.
# fontStyle([fontStyle])
If specified, sets the fontStyle accessor function, which indicates the
font style for each word. If not specified, returns the current fontStyle
accessor function, which defaults to "normal"
.
A constant may be specified instead of a function.
# fontWeight([fontWeight])
If specified, sets the fontWeight accessor function, which indicates the
font weight for each word. If not specified, returns the current fontWeight
accessor function, which defaults to "normal"
.
A constant may be specified instead of a function.
# fontSize([fontSize])
If specified, sets the fontSize accessor function, which indicates the numerical font size for each word. If not specified, returns the current fontSize accessor function, which defaults to:
function(d) { return Math.sqrt(d.value); }
A constant may be specified instead of a function.
# rotate([rotate])
If specified, sets the rotate accessor function, which indicates the rotation angle (in degrees) for each word. If not specified, returns the current rotate accessor function, which defaults to:
function() { return (~~(Math.random() * 6) - 3) * 30; }
A constant may be specified instead of a function.
# text([text])
If specified, sets the text accessor function, which indicates the text for each word. If not specified, returns the current text accessor function, which defaults to:
function(d) { return d.text; }
A constant may be specified instead of a function.
# spiral([spiral])
If specified, sets the current type of spiral used for positioning words. This can either be one of the two built-in spirals, "archimedean" and "rectangular", or an arbitrary spiral generator can be used, of the following form:
// size is the [width, height] array specified in cloud.size
function(size) {
// t indicates the current step along the spiral; it may monotonically
// increase or decrease indicating clockwise or counterclockwise motion.
return function(t) { return [x, y]; };
}
If not specified, returns the current spiral generator, which defaults to the built-in "archimedean" spiral.
# padding([padding])
If specified, sets the padding accessor function, which indicates the numerical padding for each word. If not specified, returns the current padding, which defaults to 1.
# random([random])
If specified, sets the internal random number generator, used for selecting the
initial position of each word, and the clockwise/counterclockwise direction of
the spiral for each word. This should return a number in the range [0, 1)
.
If not specified, returns the current random number generator, which defaults
to Math.random
.
# canvas([canvas])
If specified, sets the canvas generator function, which is used internally to draw text. If not specified, returns the current generator function, which defaults to:
function() { return document.createElement("canvas"); }
When using Node.js, you will almost definitely override this default, e.g. using the canvas module.
Top Related Projects
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
Tag cloud/Wordle presentation on 2D canvas or HTML
A little word cloud generator in Python
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