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scatterplot.ts
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164 lines (151 loc) · 4.44 KB
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/**
* @license
* Copyright 2018 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
import embed, {Mode, VisualizationSpec} from 'vega-embed';
import {Drawable, Point2D, XYPlotData, XYPlotOptions} from '../types';
import {getDefaultHeight, getDefaultWidth} from '../util/dom';
import {assert} from '../util/utils';
import {getDrawArea} from './render_utils';
/**
* Renders a scatter plot
*
* ```js
* const series1 = Array(100).fill(0)
* .map(y => Math.random() * 100 - (Math.random() * 50))
* .map((y, x) => ({ x, y, }));
*
* const series2 = Array(100).fill(0)
* .map(y => Math.random() * 100 - (Math.random() * 150))
* .map((y, x) => ({ x, y, }));
*
* const series = ['First', 'Second'];
* const data = { values: [series1, series2], series }
*
* const surface = { name: 'Scatterplot', tab: 'Charts' };
* tfvis.render.scatterplot(surface, data);
* ```
*
*/
/** @doc {heading: 'Charts', namespace: 'render'} */
export async function scatterplot(
container: Drawable, data: XYPlotData,
opts: XYPlotOptions = {}): Promise<void> {
let _values = data.values;
const _series = data.series == null ? [] : data.series;
// Nest data if necessary before further processing
_values = Array.isArray(_values[0]) ? _values as Point2D[][] :
[_values] as Point2D[][];
const values: Point2D[] = [];
_values.forEach((seriesData, i) => {
const seriesName: string =
_series[i] != null ? _series[i] : `Series ${i + 1}`;
const seriesVals =
seriesData.map(v => Object.assign({}, v, {series: seriesName}));
values.push(...seriesVals);
});
if (opts.seriesColors != null) {
assert(
opts.seriesColors.length === _values.length,
'Must have an equal number of series colors as there are data series');
}
const drawArea = getDrawArea(container);
const options = Object.assign({}, defaultOpts, opts);
const embedOpts = {
actions: false,
mode: 'vega-lite' as Mode,
defaultStyle: false,
};
const xDomain = (): {}|undefined => {
if (options.zoomToFit) {
return {'zero': false};
} else if (options.xAxisDomain != null) {
return {'domain': options.xAxisDomain};
}
return undefined;
};
const yDomain = (): {}|undefined => {
if (options.zoomToFit) {
return {'zero': false};
} else if (options.yAxisDomain != null) {
return {'domain': options.yAxisDomain};
}
return undefined;
};
const spec: VisualizationSpec = {
'width': options.width || getDefaultWidth(drawArea),
'height': options.height || getDefaultHeight(drawArea),
'padding': 0,
'autosize': {
'type': 'fit',
'contains': 'padding',
'resize': true,
},
'config': {
'axis': {
'labelFontSize': options.fontSize,
'titleFontSize': options.fontSize,
},
'text': {'fontSize': options.fontSize},
'legend': {
'labelFontSize': options.fontSize,
'titleFontSize': options.fontSize,
}
},
'data': {
'values': values,
},
'mark': {
'type': 'point',
'clip': true,
'tooltip': {'content': 'data'},
},
'encoding': {
'x': {
'field': 'x',
'type': options.xType,
'title': options.xLabel,
'scale': xDomain(),
},
'y': {
'field': 'y',
'type': options.yType,
'title': options.yLabel,
'scale': yDomain(),
},
'color': {
'field': 'series',
'type': 'nominal',
'scale': {
'range': options.seriesColors,
}
},
'shape': {
'field': 'series',
'type': 'nominal',
}
},
};
await embed(drawArea, spec, embedOpts);
return Promise.resolve();
}
const defaultOpts = {
xLabel: 'x',
yLabel: 'y',
xType: 'quantitative',
yType: 'quantitative',
zoomToFit: false,
fontSize: 11,
};