All processors

​getFieldsFromData​
​processCsvData​
​processGeojson​
​processKeplerglJSON​
​processRowObject​
getFieldsFromData
Analyze field types from data in string format, e.g. uploaded csv. Assign type, tableFieldIndex and format (timestamp only) to each field
Parameters
data Array<Object> array of row object
fieldOrder Array array of field names as string
Examples
import {getFieldsFromData} from 'kepler.gl/processors';
const data = [{
  time: '2016-09-17 00:09:55',
  value: '4',
  surge: '1.2',
  isTrip: 'true',
  zeroOnes: '0'
}, {
  time: '2016-09-17 00:30:08',
  value: '3',
  surge: null,
  isTrip: 'false',
  zeroOnes: '1'
}, {
  time: null,
  value: '2',
  surge: '1.3',
  isTrip: null,
  zeroOnes: '1'
}];
​
const fieldOrder = ['time', 'value', 'surge', 'isTrip', 'zeroOnes'];
const fields = getFieldsFromData(data, fieldOrder);
// fields = [
// {name: 'time', format: 'YYYY-M-D H:m:s', tableFieldIndex: 1, type: 'timestamp'},
// {name: 'value', format: '', tableFieldIndex: 4, type: 'integer'},
// {name: 'surge', format: '', tableFieldIndex: 5, type: 'real'},
// {name: 'isTrip', format: '', tableFieldIndex: 6, type: 'boolean'},
// {name: 'zeroOnes', format: '', tableFieldIndex: 7, type: 'integer'}];
Returns Array<Object> formatted fields
processCsvData
Process csv data, output a data object with {fields: [], rows: []}. The data object can be wrapped in a dataset and pass to addDataToMap​
Parameters
rawData string raw csv string
Examples
import {processCsvData} from 'kepler.gl/processors';
​
const testData = `gps_data.utc_timestamp,gps_data.lat,gps_data.lng,gps_data.types,epoch,has_result,id,time,begintrip_ts_utc,begintrip_ts_local,date
2016-09-17 00:09:55,29.9900937,31.2590542,driver_analytics,1472688000000,False,1,2016-09-23T00:00:00.000Z,2016-10-01 09:41:39+00:00,2016-10-01 09:41:39+00:00,2016-09-23
2016-09-17 00:10:56,29.9927699,31.2461142,driver_analytics,1472688000000,False,2,2016-09-23T00:00:00.000Z,2016-10-01 09:46:37+00:00,2016-10-01 16:46:37+00:00,2016-09-23
2016-09-17 00:11:56,29.9907261,31.2312742,driver_analytics,1472688000000,False,3,2016-09-23T00:00:00.000Z,,,2016-09-23
2016-09-17 00:12:58,29.9870074,31.2175827,driver_analytics,1472688000000,False,4,2016-09-23T00:00:00.000Z,,,2016-09-23`
​
const dataset = {
 info: {id: 'test_data', label: 'My Csv'},
 data: processCsvData(testData)
};
​
dispatch(addDataToMap({
 datasets: [dataset],
 options: {centerMap: true, readOnly: true}
}));
Returns Object data object {fields: [], rows: []}
processGeojson
Process GeoJSON FeatureCollection, output a data object with {fields: [], rows: []}. The data object can be wrapped in a dataset and pass to addDataToMap​
Parameters
rawData Object raw geojson feature collection
Examples
import {addDataToMap} from 'kepler.gl/actions';
import {processGeojson} from 'kepler.gl/processors';
​
const geojson = {
    "type" : "FeatureCollection",
    "features" : [{
        "type" : "Feature",
        "properties" : {
            "capacity" : "10",
            "type" : "U-Rack"
        },
        "geometry" : {
            "type" : "Point",
            "coordinates" : [ -71.073283, 42.417500 ]
        }
    }]
};
​
dispatch(addDataToMap({
 datasets: {
   info: {
     label: 'Sample Taxi Trips in New York City',
     id: 'test_trip_data'
   },
   data: processGeojson(geojson)
 }
}));
Returns Object dataset containing fields and rows
processKeplerglJSON
Process saved kepler.gl json to be pass to addDataToMap. The json object should contain datasets and config.
Parameters
rawData Object 
rawData.datasets Array 
rawData.config Object 
Examples
import {addDataToMap} from 'kepler.gl/actions';
import {processKeplerglJSON} from 'kepler.gl/processors';
​
dispatch(addDataToMap(processKeplerglJSON(keplerGlJson)));
Returns Object datasets and config {datasets: {}, config: {}}
processRowObject
Process data where each row is an object, output can be passed to addDataToMap​
Parameters
rawData Array<Object> an array of row object, each object should have the same number of keys
Examples
import {addDataToMap} from 'kepler.gl/actions';
import {processRowObject} from 'kepler.gl/processors';
​
const data = [
 {lat: 31.27, lng: 127.56, value: 3},
 {lat: 31.22, lng: 126.26, value: 1}
];
​
dispatch(addDataToMap({
 datasets: {
   info: {label: 'My Data', id: 'my_data'},
   data: processRowObject(data)
 }
}));
Returns Object dataset containing fields and rows
Processors
Schemas
Last modified 2yr ago