# All processors

* [getFieldsFromData](#getfieldsfromdata)
* [processCsvData](#processcsvdata)
* [processGeojson](#processgeojson)
* [processKeplerglJSON](#processkeplergljson)
* [processRowObject](#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**](https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Array)**<**[**Object**](https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Object)**>** array of row object
* `fieldOrder` [**Array**](https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Array) array of field names as string

**Examples**

```javascript
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**](https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Array)**<**[**Object**](https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/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`](/docs/api-reference/actions/actions.md#adddatatomap)

**Parameters**

* `rawData` [**string**](https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/String) raw csv string

**Examples**

```javascript
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**](https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Object) data object `{fields: [], rows: []}`

**processGeojson**

Process GeoJSON [`FeatureCollection`](http://wiki.geojson.org/GeoJSON_draft_version_6#FeatureCollection), output a data object with `{fields: [], rows: []}`. The data object can be wrapped in a `dataset` and pass to [`addDataToMap`](/docs/api-reference/actions/actions.md#adddatatomap)

**Parameters**

* `rawData` [**Object**](https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Object) raw geojson feature collection

**Examples**

```javascript
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**](https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Object) dataset containing `fields` and `rows`

**processKeplerglJSON**

Process saved kepler.gl json to be pass to [`addDataToMap`](/docs/api-reference/actions/actions.md#adddatatomap). The json object should contain `datasets` and `config`.

**Parameters**

* `rawData` [**Object**](https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Object)
  * `rawData.datasets` [**Array**](https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Array)
  * `rawData.config` [**Object**](https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Object)

**Examples**

```javascript
import {addDataToMap} from '@kepler.gl/actions';
import {processKeplerglJSON} from '@kepler.gl/processors';

dispatch(addDataToMap(processKeplerglJSON(keplerGlJson)));
```

Returns [**Object**](https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Object) datasets and config `{datasets: {}, config: {}}`

**processRowObject**

Process data where each row is an object, output can be passed to [`addDataToMap`](/docs/api-reference/actions/actions.md#adddatatomap)

**Parameters**

* `rawData` [**Array**](https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Array)**<**[**Object**](https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Object)**>** an array of row object, each object should have the same number of keys

**Examples**

```javascript
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**](https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Object) dataset containing `fields` and `rows`


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