Fabric.js Ellipse strokeDashOffset Property
Last Updated :
25 Jan, 2021
In this article, we are going to see how to set the stroke offset to the canvas Ellipse using FabricJS. The canvas Ellipse means the Ellipse is movable and can be stretched according to requirements. Further, the Ellipse can be customized when it comes to initial stroke color, height, width, fill color, or stroke width.
To make it possible we are going to use a JavaScript library called FabricJS. After importing the library, we will create a canvas block in the body tag that will contain the Ellipse. After this, we will initialize instances of Canvas and Ellipse provided by FabricJS and create a stroke using stroke property, and further use the strokeDashOffset property to add stroke offset and render the canvas on the Ellipse as given in the below example.
Syntax:
fabric.Ellipse({
rx: number,
ry: number,
fill: string,
strokeDashOffset: number
});
Parameters: This function accept four parameters as mentioned above and described below:
- rx: It specifies the horizontal radius.
- ry: It specifies the vertical radius.
- fill: It specifies the color to fill the ellipse.
- strokeDashOffset: It specifies the amount of offset of stroke.
Example: This example uses FabricJS library to set the stroke dashed offset to the canvas ellipse as given below.
HTML
<!DOCTYPE html>
< html >
< head >
< title >
Fabric.js Ellipse strokeDashOffset Property
</ title >
< script src =
</ script >
</ head >
< body >
< h1 style = "color: green;" >
GeeksforGeeks
</ h1 >
< h3 >
Fabric.js Ellipse strokeDashOffset Property
</ h3 >
< canvas id = "canvas" width = "600" height = "300"
style = "border:1px solid #000000" >
</ canvas >
< script >
// Initiate a Canvas instance
var canvas = new fabric.Canvas("canvas");
// Initiate a Ellipse instance
var ellipse = new fabric.Ellipse({
rx: 150,
ry: 75,
fill: '',
strokeDashArray: [10],
strokeDashOffset: 10,
stroke: 'green'
});
// Render the ellipse in canvas
canvas.add(ellipse);
canvas.centerObject(ellipse);
</ script >
</ body >
</ html >
|
Output:
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