
Error Bars in JavaScript
How to add error bars to a D3.js-based line, scatter, or bar chart. Seven examples of symmetric, asymmetric, horizontal, and colored error bars.
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var data = [ { x: [0, 1, 2], y: [6, 10, 2], error_y: { type: 'data', array: [1, 2, 3], visible: true }, type: 'scatter' }];Plotly.newPlot('myDiv', data);var trace1 = { x: ['Trial 1', 'Trial 2', 'Trial 3'], y: [3, 6, 4], name: 'Control', error_y: { type: 'data', array: [1, 0.5, 1.5], visible: true }, type: 'bar'};var trace2 = { x: ['Trial 1', 'Trial 2', 'Trial 3'], y: [4, 7, 3], name: 'Experimental', error_y: { type: 'data', array: [0.5, 1, 2], visible: true }, type: 'bar'};var data = [trace1, trace2];var layout = {barmode: 'group'};Plotly.newPlot('myDiv', data, layout);var data = [ { x: [1, 2, 3, 4], y: [2, 1, 3, 4], error_x: { type: 'percent', value: 10 }, type: 'scatter' }];Plotly.newPlot('myDiv', data);var data = [ { x: [1, 2, 3, 4], y: [2, 1, 3, 4], error_y: { type: 'data', symmetric: false, array: [0.1, 0.2, 0.1, 0.1], arrayminus: [0.2, 0.4, 1, 0.2] }, type: 'scatter' }];Plotly.newPlot('myDiv', data);function linspace(a,b,n) { return d3.range(n).map(function(i){return a+i*(b-a)/(n-1);});}x_theo = linspace(-4, 4, 100)sincx = Math.sin(x_theo) / x_theovar x = [-3.8, -3.03, -1.91, -1.46, -0.89, -0.24, -0.0, 0.41, 0.89, 1.01, 1.91, 2.28, 2.79, 3.56]var y = [-0.02, 0.04, -0.01, -0.27, 0.36, 0.75, 1.03, 0.65, 0.28, 0.02, -0.11, 0.16, 0.04, -0.15]var trace1 = { x: x_theo, y: sincx, name: 'sinc(x)', type: 'scatter'};var trace2 = { x: x, y: y, mode: 'markers', name: 'measured', error_y: { type: 'constant', value: 0.1, color: '#85144B', thickness: 1.5, width: 3, }, error_x: { type: 'constant', value: 0.2, color: '#85144B', thickness: 1.5, width: 3, }, marker: { color: '#85144B', size: 8 }, type: 'scatter'};var data = [trace1, trace2];Plotly.newPlot('myDiv', data, {}, {showSendToCloud: true});var data = [ { x: [0, 1, 2], y: [6, 10, 2], error_y: { type: 'percent', value: 50, visible: true }, type: 'scatter' }];Plotly.newPlot('myDiv', data);var data = [ { x: [1, 2, 3, 4], y: [2, 1, 3, 4], error_y: { type: 'percent', symmetric: false, value: 15, valueminus: 25 }, type: 'scatter' }];Plotly.newPlot('myDiv', data);
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