Socket
Book a DemoInstallSign in
Socket

@antv/dw-transform

Package Overview
Dependencies
Maintainers
39
Versions
18
Alerts
File Explorer

Advanced tools

Socket logo

Install Socket

Detect and block malicious and high-risk dependencies

Install

@antv/dw-transform

## Install

latest
npmnpm
Version
1.1.7
Version published
Maintainers
39
Created
Source

Transform

Install

npm

npm install @antv/dw-transform

yarn

yarn add @antv/dw-transform

Schema

{
  "groupBy": [...],
  "actions": [
    {
      "type": ...,
      "field": ...,
      "as": ...,
      "options": {
        ...,
      }
    }
  ]
}

Usage

autoTransform

The autoTransform function generates transform schemas to aggregate data fields in a default way.

const data = [
  { gender: 'Male', height: 180 },
  { gender: 'Female', height: 165 },
  { gender: 'Male', height: 170 },
];

const { result, schemas } = autoTransform(data);

console.log(schemas);
// [
//   {
//     groupBy: ['gender'],
//     actions: [
//       {
//         type: 'sum',
//         field: 'height',
//         as: 'SUM(height)',
//       },
//     ],
//   },
// ]

console.log(result);
// [
//   { gender: 'Male', 'SUM(height)': 350 },
//   { gender: 'Female', 'SUM(height)': 165 },
// ]

renameOption

The renameOption parameter of the autoTransform function defines how the created aggregation field would be named.

Say, field title is field1 and aggregation type is sum:

renameOptionas
'brackets' (default)
true
'SUM(field1)'
'underline''SUM_field1'
'origin'
false
'field1'
function f(a,b)f('field1', 'sum')
const data = [
  { gender: 'Male', height: 180 },
  { gender: 'Female', height: 165 },
  { gender: 'Male', height: 170 },
];

const { result, schemas } = autoTransform(data, false);

console.log(schemas);
// [
//   {
//     groupBy: ['gender'],
//     actions: [
//       {
//         type: 'sum',
//         field: 'height',
//         as: 'height',        // as origin
//       },
//     ],
//   },
// ]

console.log(result);
// [
//   { gender: 'Male', 'height': 350 },         // as origin
//   { gender: 'Female', 'height': 165 },       // as origin
// ]

parse

If you already have a dataset and a transform schema for it, you can use the function parse to get the result.

const data = [
  { id: '1', height: 10.5, weight: 60 },
  { id: '2', height: null, weight: 40 },
  { id: '3', height: 9.5, weight: null },
  { id: '', height: 9.5, weight: 80 },
  { id: '5', height: 9.5 },
];

const schema = {
  actions: [
    {
      type: 'removeNull',
      field: 'id',
      as: null,
    },
  ],
}

const result = parse(data, schema);
// [
//   { id: '1', height: 10.5, weight: 60 },
//   { id: '2', height: null, weight: 40 },
//   { id: '3', height: 9.5, weight: null },
//   { id: '5', height: 9.5 },
// ]

FAQs

Package last updated on 23 Jun 2021

Did you know?

Socket

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.

Install

Related posts