Lib.rs

WordCloud ☁

A simplified way to create Wordclouds in Rust.

Simple Example

use wordcloud::*;
use wordcloud::font::*;

let mut font_data = Vec::from(include_bytes!("font.ttf") as &[u8]);
let font_set = FontSetBuilder::new()
    .push(Font::from_data(&mut font_data).unwrap())
    .build();

let output_dimensions = Dimensions::from_wh(1000, 1000);
let wc = WordCloudBuilder::new()
    .dimensions(output_dimensions)
    .font(&font_set)
    .build()
    .unwrap();

let input_text = io::read_string_from_file("input_text.txt").unwrap();
let ranked = RankedWords::rank(input_text.split_whitespace().collect());

wc.write_content(ranked, 2000);
wc.export_rendered_to_file("output.svg").unwrap();

Using Stopwords

use wordcloud::*;
use wordcloud::font::*;

// Create the default StopWords set using the "stopwords" crate feature
let stop_words = StopWords::default();

let input_text = io::read_string_from_file("input_text.txt").unwrap();
let ranked = RankedWords::rank(
    input_text
        .split_whitespace()
        // filter out the StopWords using the iterator function
        // a similar named function also exists for rayon's ParallelIterators
        .filter_stop_words(&stop_words)
        // filter out everything that is just a number
        .filter(
            |x| x.parse::<f64>().is_err()
        )
        .collect()
);

// ...

Using Background Images

use wordcloud::*;

// ...

let image = image::load_from_memory(test_image).expect("image load failed");
let wc = WordCloudBuilder::new()
    .dimensions(output_dimensions)
    .font(&font_set)
    .image(&image)
    .build()
    .unwrap();

// ...