Reputation: 55
With the concept of VueJS is a kind of framework of JS, then it should have no problem inserting the vanilla JS into it. The following is the attempt to insert the pure JS code into vue-cli project(webpack structure).
[Before Start] I tried the example code as the following link(official document)
URL: https://codepen.io/Tobyliao/pen/ZEWNvwE?editable=true%3Dhttps%3A%2F%2Fdocs.bokeh.org%2F
it works.
[Question] As I tried to imlement into Vue project. It fails. picture1 is the directory structure.
<script type="text/javascript" src="https://cdn.bokeh.org/bokeh/release/bokeh-2.2.1.min.js"></script>
<script type="text/javascript" src="https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.2.1.min.js"></script>
<script type="text/javascript" src="https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.2.1.min.js"></script>
<script type="text/javascript" src="https://cdn.bokeh.org/bokeh/release/bokeh-api-2.2.1.min.js"></script>
<script type="text/javascript" src="https://cdn.bokeh.org/bokeh/release/bokeh-api-2.2.1.min.js"></script>
inside the code, I insert
<template>
<h1>Measurement Plotting</h1>
</template>
<script src='./main.js'>
export default {
}
</script>
[Result]
Upvotes: 0
Views: 689
Reputation: 5701
You have many options here, I went ahead and simply made a mixin to utilize the component lifecycle that Vue provides. source
Here are the relevant parts:
BokehPlot.vue
<template>
<h1>治具量測</h1>
</template>
<script>
import Chart from "@/mixins/Chart";
export default {
mixins: [Chart],
};
</script>
Chart.js
export default {
data() {
return {
plot: null,
xdr: null,
ydr: null
};
},
beforeMount() {
// create some ranges for the plot
this.xdr = new Bokeh.Range1d({ start: -1, end: 100 });
this.ydr = new Bokeh.Range1d({ start: -0.5, end: 20.5 });
// make the plot
this.plot = new Bokeh.Plot({
title: "BokehJS Plot",
x_range: this.xdr,
y_range: this.ydr,
plot_width: 400,
plot_height: 400,
background_fill_color: "#F2F2F7"
});
},
mounted() {
this.loadData();
},
methods: {
loadData() {
// create some data and a ColumnDataSource
let x = Bokeh.LinAlg.linspace(-0.5, 20.5, 10);
let y = x.map(function (v) {
return v * 0.5 + 3.0;
});
let source = new Bokeh.ColumnDataSource({ data: { x: x, y: y } });
// add axes to the plot
let xaxis = new Bokeh.LinearAxis({ axis_line_color: null });
let yaxis = new Bokeh.LinearAxis({ axis_line_color: null });
this.plot.add_layout(xaxis, "below");
this.plot.add_layout(yaxis, "left");
// add grids to the plot
let xgrid = new Bokeh.Grid({ ticker: xaxis.ticker, dimension: 0 });
let ygrid = new Bokeh.Grid({ ticker: yaxis.ticker, dimension: 1 });
this.plot.add_layout(xgrid);
this.plot.add_layout(ygrid);
// add a Line glyph
let line = new Bokeh.Line({
x: { field: "x" },
y: { field: "y" },
line_color: "#666699",
line_width: 2
});
this.plot.add_glyph(line, source);
Bokeh.Plotting.show(this.plot);
}
}
};
Many decisions to still make, but hopefully that will get you pointed down the right path.
See working example: https://codesandbox.io/s/bokehjs-forked-4w20k?fontsize=14&hidenavigation=1&theme=dark
Upvotes: 1