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@nhuson/react-d3-cloud
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[![NPM version][npm-image]][npm-url] [![Build Status][travis-image]][travis-url] [![Dependency Status][david_img]][david_site]
A word cloud react component built with d3-cloud.
npm install @nhuson/react-d3-cloud
import React from "react";
import { render } from "react-dom";
import WordCloud from "@nhuson/react-d3-cloud";
const data = [
{ text: "Hello", value: 1000, color: "grey", fontWeight: 500 },
{ text: "lol", value: 200, color: "grey", fontWeight: "normal" },
{ text: "first impression", value: 800, color: "#ccc", fontWeight: "bold" },
{ text: "very cool", value: 1000000 },
{ text: "duck", value: 10 }
];
const fontSizeMapper = word => Math.log2(word.value) * 5;
const rotate = word => word.value % 360;
render(
<WordCloud data={data} fontSizeMapper={fontSizeMapper} rotate={rotate} />,
document.getElementById("root")
);
for more detailed props, please refer to below:
name | description | type | required | default |
---|---|---|---|---|
data | The input data for rendering | Array<{ text: string, value: number }> | ✓ | |
width | Width of component (px) | number | 700 | |
height | Height of component (px) | number | 600 | |
fontSizeMapper | Map each element of data to font size (px) | Function: (word: string, idx: number): number | word => word.value; | |
rotate | Map each element of data to font rotation degree. Or simply provide a number for global rotation. (degree) | Function | number | 0 | |
padding | Map each element of data to font padding. Or simply provide a number for global padding. (px) | Function | number | 5 | |
font | The font of text shown | Function | string | serif | |
onWordClick | Function called when click event triggered on a word | Function: word => {} | null | |
onWordMouseOver | Function called when mouseover event triggered on a word | Function: word => {} | null | |
onWordMouseOut | Function called when mouseout event triggered on a word | Function: word => {} | null | |
defaultColor | Default color text, if not set color in data | String | #333 | |
formatImgDownload | Format image base64 | String | png |
import React, { useRef, useEffect } from "react";
import { render } from "react-dom";
import WordCloud from "@nhuson/react-d3-cloud";
const data = [
{ text: "Hello", value: 1000, color: "grey", fontWeight: 500 },
{ text: "lol", value: 200, color: "grey", fontWeight: "normal" },
{ text: "first impression", value: 800, color: "#ccc", fontWeight: "bold" },
{ text: "very cool", value: 1000000 },
{ text: "duck", value: 10 }
];
const Cloud = (props) => {
const cloudRef = useRef();
useEffect(() => {
cloudRef.current.toBase64Image().then(imgBase64 => console.log(imgBase64))
}, [])
return (
<WordCloud
height={300}
data={data}
padding={10}
ref={cloudRef}
/>
)
}
npm run build
brew install pkg-config cairo pango libpng jpeg giflib librsvg
npm install
FAQs
a word cloud component using d3-cloud
The npm package @nhuson/react-d3-cloud receives a total of 18 weekly downloads. As such, @nhuson/react-d3-cloud popularity was classified as not popular.
We found that @nhuson/react-d3-cloud demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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