plotvuer

This project aims to process and display csv files as graphs in the vue framework

Demo the site functionality of this app here*.

*Demo will take 30s to load while Heroku server boots

Don't feel like coding? See how to copy and paste plotvuer as an HTML widget here

Project installation

npm i @abi-software/plotvuer

Project setup

npm install
npm run serve

Compiles and minifies for production

npm run build-bundle

How to use

Include the package in your script.

import { PlotVuer } from '@abi-software/plotvuer'
import '@abi-software/plotvuer/dist/plotvuer.css'

Local registration in vue component:

export default {
  ...
  components: {
    PlotVuer,
  }
  ...
}

The snippet above registers the Plotvuer component into the global scope. You can now use the Plotvuer in your vue template as followed:

<PlotVuer :data-source="data" :metadata="metadata" :supplemental-data="supplementalData"></PlotVuer>

datasource has two options for loading data into plotvuer:

Using plotly directly

let data = {
  data: [
    {
      x: [0, 1, 2, 3, 4, 5],
      y: [100, 10, 130, 70, 80, 90],
      type: 'scatter'
    }
  ],
  layout: { // **Optional**
    height: '700px',
    margin: {
      t: 35,
      l: 85,
      r: 55,
      b: 190,
      pad: 4
    }
  }
}


let metadata = {
  version: '1.1.0',
  type: 'plot',
  attrs: {
    style: 'timeseries', // Style will be 'timeseries' or 'heatmap'
    }
  }
}

Note that these are the same inputs for data and layout as plotly normally takes in Plotly.newPlot()

Sending plotly a csv file url

let data = {
  url : 'https://example.com/myfile.csv'
}


let metadata= {
  version: '1.1.0',
  type: 'plot',
  attrs: {
    'x-axis-column': 2, // **Optional**
    style: 'timeseries',
    'y-axes-columns': [3, 4, 5, 6, 7, 8, 9, 10], // **Optional**
    'plot-layout': { // **Optional**
      height: '700px',
      margin: {
        t: 35,
        l: 85,
        r: 55,
        b: 190,
        pad: 4
      }
    }
  }
}

let supplementalData = {
  url : 'https://example.com/mySupplementalFile.json'
}

CSV file formatting

plotvuer will load and csv file that follow the form of headers on first row and coloumn and if data is time based, rows will be assumed to be time dependant.

Example 1. Heatmap data

	Gene 1	Gene 2
Sample 1	-1.54	-3.40
Sample 2	0.68	1.22
Sample 3	0.05	0.66

Example 2. Timeseries data

time (seconds)	Sweep 0_Membrane Potential (mV)
0	-70.12939453
0.0002	-70.12939453
0.0004	-70.34301758

Copy and paste as an HTML widget

Paste the following lines in the <body> of you HTML

 <!-- Modify the 'file' input to point to a csv file you wish to show --> 
 <plot-vuer-widget file="https://mapcore-bucket1.s3-us-west-2.amazonaws.com/ISAN/csv-data/use-case-4/RNA_Seq.csv"></plot-vuer-widget>
 <!-- widget source css from cdn-->
 <link href="https://cdn.jsdelivr.net/npm/@tehsurfer/plotvuer-widget/dist/plotVuer.css" rel="stylesheet">
 <!-- widget source js from cdn -->
 <script src="https://cdn.jsdelivr.net/npm/@tehsurfer/plotvuer-widget/dist/plotVuer.js"></script>

Modifying input file for widget

Change this line to point at a csv file for display

 <!-- Modify the 'file' input to point to a csv file you wish to show --> 
 <plot-vuer-widget file="./path/to/file.csv"></plot-vuer-widget>

abi-software / plotvuer Goto Github PK

plotvuer's Introduction

plotvuer

Project installation

Project setup

Compiles and minifies for production

How to use

Using plotly directly

Sending plotly a csv file url

CSV file formatting

Example 1. Heatmap data

Example 2. Timeseries data

Copy and paste as an HTML widget

Modifying input file for widget

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