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rn-wordcloud
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Readme
A React Native library for creating beautiful and neat word (tag) cloud from any text with custom weight and color.
npm install rn-wordcloud
import React from "react"
import WordCloud from "rn-wordcloud"
const App = () => {
const data = [
{ text: "happy", value: 8 },
{ text: "joyful", value: 6 },
{ text: "sad", value: 3 },
{ text: "exciting", value: 7 },
{ text: "angry", value: 4 },
{ text: "hopeful", value: 8 },
{ text: "inspiring", value: 9, color: "green" },
{ text: "dismal", value: 3 },
{ text: "gloomy", value: 4 },
{ text: "boring", value: 4 },
{ text: "ordinary", value: 5 },
{ text: "satisfied", value: 7 },
{ text: "pleasing", value: 8 },
// Add more words as needed
]
return (
<WordCloud
options={{
words: data,
verticalEnabled: true,
minFont: 10,
maxFont: 50,
fontOffset: 1,
width: 390,
height: 250,
fontFamily: "Arial",
}}
/>
)
}
export default App
options
(object, required)An object containing configuration options for the WordCloud component.
words
(array, required): An array of objects representing words in the word cloud. Each object should have text
(word text), value
(word weight), fontFamily
(optional), and sentiment
(optional) properties.
verticalEnabled
(boolean, default: true
): Whether vertical alignment is enabled or not.
minFont
(number, default: 10
): Minimum font size for words.
maxFont
(number, default: 50
): Maximum font size for words.
fontOffset
(number, default: 1
): Font offset for additional customization.
width
(number, required): Width of the word cloud container.
height
(number, required): Height of the word cloud container.
fontFamily
(string, optional): Default font family for words.
This project is licensed under the MIT License - see the LICENSE file for details.
You can copy and paste this content into a file named `README.md` in the root of your project.
FAQs
A React Native library for creating beautiful and neat word (tag) cloud from any text with custom weight and color.
The npm package rn-wordcloud receives a total of 4 weekly downloads. As such, rn-wordcloud popularity was classified as not popular.
We found that rn-wordcloud demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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