Research
Security News
Malicious npm Packages Inject SSH Backdoors via Typosquatted Libraries
Socket’s threat research team has detected six malicious npm packages typosquatting popular libraries to insert SSH backdoors.
vue-custom-plot
Advanced tools
A Vue component for making custom scatter plots. This component does all of the math for you, so you make all the decisions about how your data renders.
If you're using npm:
npm -i --save vue-custom-plot
Then include the component in your project like so:
import { CustomPlot } from "vue-custom-plot"
Follow along with this example on codesandbox.
We're going to make a really basic scatter plot that looks like this:
All you need to get started with vue-custom-plot is the dimensions for your plot, and data in an array. Your data should be an array of objects, like this:
var myPoints = [{"x": 13, "y": 401, "z": 0.6}, ... ]
We'll use this example going forward. Our data has x
, y
, and z
values.
Note: If you're making data visualizations, it's helpful to know about scalable vector graphics (svg).
Suppose your component data looks like this:
data() {
return {
// we'll populate our component with some data points
dataPoints: myPoints,
// we also need dimensions for svg
width: 450,
height: 450,
}
}
You'll set up your template like so:
<!-- set up our initial svg -->
<svg :width="width" :height="height">
<!-- we'll put our plot in here with the help of vue-custom-plot -->
</svg>
Now, vue-custom-plot needs three props to work: xy-data
, width
, and height
. When we pass these props, vue-custom-plot will provide additional data back to us, namely the data we need to actually render our component.
We add the following to our template:
<!-- set up our initial svg -->
<svg :width="width" :height="height">
<!-- pass data into custom-plot -->
<CustomPlot :xy-data="dataPoints" :width="width" :height="height">
<!-- a scoped-slot gives us access to data we can use to render our plot with svg -->
<g slot-scope="{ computedData }">
<!-- we'll render our data in here -->
</g>
</CustomPlot>
</svg>
Vue-custom-plot has given us access to computedData
, which is a array of object of the form:
computedData = [{
x // the original x
y // the original y
svgx // the x-coordinate for where the original x maps to on the svg
svgy // the y-coordinate for where the original y maps to on the svg
key // a simple key to use when rendering your data
attrs: {
z // the original z-value
// any other data points that are not x or y go here
}
} ... ]
We'll use computedData
to visualize our data. We'll render circles whose opacity depends on the original z-value of our data (which is between 0 and 1). We complete our template:
<!-- set up our initial svg -->
<svg :width="width" :height="height">
<!-- pass data into custom-plot -->
<CustomPlot :xy-data="dataPoints" :width="width" :height="height">
<!-- a scoped-slot gives us access to data we can use to render our plot with svg -->
<g slot-scope="{ computedData }">
<!-- render a circle for each point in computedData -->
<circle v-for="point in computedData"
:key="point.key"
:cx="point.svgx"
:cy="point.svgy"
:r="8"
fill="midnightblue"
:opacity="point.attrs.z">
</circle>
</g>
</CustomPlot>
</svg>
<CustomPlot>
<CustomPlot
:xy-data="myData"
:width="width"
:x-accessor="'xVariableName'"
:y-accessor="d => doSomethingTo(d.yVariable)"
:height="height"
:marginTop="margin"
:marginLeft="margin">
<g slot-scope="{computedData, xScale, yScale, svg}">
<!-- render plot points here -->
</g>
</CustomPlot>
Property | Type | Default | Description |
---|---|---|---|
xyData | Array | None | Required. An array of objects containing data to render |
xAccessor | String, Function | "x" | The name of the x-variable in xyData ; it can be a string or a function |
yAccessor | String, Function | "y" | The name of the y-variable in xyData ; it can be a string or a function |
width | Number | 500 | Width of the svg container |
height | Number | 500 | Height of the svg container |
marginLeft | Number | 0 | Left margin of the rendered plot |
marginTop | Number | 0 | Top margin of the rendered plot |
marginRight | Number | 0 | Right margin of the rendered plot |
marginBottom | Number | 0 | Bottom margin of the rendered plot |
Child Data | Type | Description |
---|---|---|
computedData | Array | Array of objects containing original x/y data, and their svg coordinates |
xScale | Function | Scale taking x-values to their svg-coordinates |
yScale | Function | Scale taking y-values to their svg-coordinates |
svg | Object | Object with dimension data, {left, top, width, height} |
Here's the relationship between xyData
and compuedData
:
// xyData
[{x, y, z, somethingElse}, ...]
// computedData
[{
x // the original x-value, chosen with xAccessor
y // the original y-value, chosen with yAccessor
svgx // the original x-value passed through xScale
svgy // the original y-value passed through yScale
key // a simple key to use when rendering your data
attrs: {
// the original data goes in here
x // the original x-value, not chosen with xAccessor
y // the original y-value, not chosen with yAccessor
z // the original z-value
somethingElse // the original somethingElse-value
}
} ... ]
<Axis>
Coming Soon :blush:
Below is some of my original thoughts on how Vue could be use to make custom plots.
See this thread for how I came up with this idea
Check out these demos:
FAQs
A Vue.js project
We found that vue-custom-plot 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.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Research
Security News
Socket’s threat research team has detected six malicious npm packages typosquatting popular libraries to insert SSH backdoors.
Security News
MITRE's 2024 CWE Top 25 highlights critical software vulnerabilities like XSS, SQL Injection, and CSRF, reflecting shifts due to a refined ranking methodology.
Security News
In this segment of the Risky Business podcast, Feross Aboukhadijeh and Patrick Gray discuss the challenges of tracking malware discovered in open source softare.