Line chart javascript library

Line Charts in JavaScript

Plotly is a free and open-source graphing library for JavaScript. We recommend you read our Getting Started guide for the latest installation or upgrade instructions, then move on to our Plotly Fundamentals tutorials or dive straight in to some Basic Charts tutorials.

Basic Line Plot

var trace1 = < x: [1, 2, 3, 4], y: [10, 15, 13, 17], type: 'scatter' >; var trace2 = < x: [1, 2, 3, 4], y: [16, 5, 11, 9], type: 'scatter' >; var data = [trace1, trace2]; Plotly.newPlot('myDiv', data); 

Line and Scatter Plot

var trace1 = < x: [1, 2, 3, 4], y: [10, 15, 13, 17], mode: 'markers' >; var trace2 = < x: [2, 3, 4, 5], y: [16, 5, 11, 9], mode: 'lines' >; var trace3 = < x: [1, 2, 3, 4], y: [12, 9, 15, 12], mode: 'lines+markers' >; var data = [ trace1, trace2, trace3 ]; var layout = < title:'Line and Scatter Plot' >; Plotly.newPlot('myDiv', data, layout); 

Adding Names to Line and Scatter Plot

var trace1 = < x: [1, 2, 3, 4], y: [10, 15, 13, 17], mode: 'markers', name: 'Scatter' >; var trace2 = < x: [2, 3, 4, 5], y: [16, 5, 11, 9], mode: 'lines', name: 'Lines' >; var trace3 = < x: [1, 2, 3, 4], y: [12, 9, 15, 12], mode: 'lines+markers', name: 'Scatter + Lines' >; var data = [ trace1, trace2, trace3 ]; var layout = < title:'Adding Names to Line and Scatter Plot' >; Plotly.newPlot('myDiv', data, layout); 

Line and Scatter Styling

var trace1 = < x: [1, 2, 3, 4], y: [10, 15, 13, 17], mode: 'markers', marker: < color: 'rgb(219, 64, 82)', size: 12 >>; var trace2 = < x: [2, 3, 4, 5], y: [16, 5, 11, 9], mode: 'lines', line: < color: 'rgb(55, 128, 191)', width: 3 >>; var trace3 = < x: [1, 2, 3, 4], y: [12, 9, 15, 12], mode: 'lines+markers', marker: < color: 'rgb(128, 0, 128)', size: 8 >, line: < color: 'rgb(128, 0, 128)', width: 1 >>; var data = [trace1, trace2, trace3]; var layout = < title: 'Line and Scatter Styling' >; Plotly.newPlot('myDiv', data, layout); 

Styling Line Plot

trace1 = < type: 'scatter', x: [1, 2, 3, 4], y: [10, 15, 13, 17], mode: 'lines', name: 'Red', line: < color: 'rgb(219, 64, 82)', width: 3 >>; trace2 = < type: 'scatter', x: [1, 2, 3, 4], y: [12, 9, 15, 12], mode: 'lines', name: 'Blue', line: < color: 'rgb(55, 128, 191)', width: 1 >>; var layout = < width: 500, height: 500 >; var data = [trace1, trace2]; Plotly.newPlot('myDiv', data, layout); 

Colored and Styled Scatter Plot

var trace1 = < x: [52698, 43117], y: [53, 31], mode: 'markers', name: 'North America', text: ['United States', 'Canada'], marker: < color: 'rgb(164, 194, 244)', size: 12, line: < color: 'white', width: 0.5 >>, type: 'scatter' >; var trace2 = < x: [39317, 37236, 35650, 30066, 29570, 27159, 23557, 21046, 18007], y: [33, 20, 13, 19, 27, 19, 49, 44, 38], mode: 'markers', name: 'Europe', text: ['Germany', 'Britain', 'France', 'Spain', 'Italy', 'Czech Rep.', 'Greece', 'Poland'], marker: < color: 'rgb(255, 217, 102)', size: 12 >, type: 'scatter' >; var trace3 = < x: [42952, 37037, 33106, 17478, 9813, 5253, 4692, 3899], y: [23, 42, 54, 89, 14, 99, 93, 70], mode: 'markers', name: 'Asia/Pacific', text: ['Australia', 'Japan', 'South Korea', 'Malaysia', 'China', 'Indonesia', 'Philippines', 'India'], marker: < color: 'rgb(234, 153, 153)', size: 12 >, type: 'scatter' >; var trace4 = < x: [19097, 18601, 15595, 13546, 12026, 7434, 5419], y: [43, 47, 56, 80, 86, 93, 80], mode: 'markers', name: 'Latin America', text: ['Chile', 'Argentina', 'Mexico', 'Venezuela', 'Venezuela', 'El Salvador', 'Bolivia'], marker: < color: 'rgb(142, 124, 195)', size: 12 >, type: 'scatter' >; var data = [trace1, trace2, trace3, trace4]; var layout = < title: 'Quarter 1 Growth', xaxis: < title: 'GDP per Capita', showgrid: false, zeroline: false >, yaxis: < title: 'Percent', showline: false >>; Plotly.newPlot('myDiv', data, layout); 

Line Shape Options for Interpolation

var trace1 = < x: [1, 2, 3, 4, 5], y: [1, 3, 2, 3, 1], mode: 'lines+markers', name: 'linear', line: , type: 'scatter' >; var trace2 = < x: [1, 2, 3, 4, 5], y: [6, 8, 7, 8, 6], mode: 'lines+markers', name: 'spline', text: ['tweak line smoothness
with "smoothing" in line object', 'tweak line smoothness
with "smoothing" in line object', 'tweak line smoothness
with "smoothing" in line object', 'tweak line smoothness
with "smoothing" in line object', 'tweak line smoothness
with "smoothing" in line object', 'tweak line smoothness
with "smoothing" in line object'], line: , type: 'scatter' >; var trace3 = < x: [1, 2, 3, 4, 5], y: [11, 13, 12, 13, 11], mode: 'lines+markers', name: 'vhv', line: , type: 'scatter' >; var trace4 = < x: [1, 2, 3, 4, 5], y: [16, 18, 17, 18, 16], mode: 'lines+markers', name: 'hvh', line: , type: 'scatter' >; var trace5 = < x: [1, 2, 3, 4, 5], y: [21, 23, 22, 23, 21], mode: 'lines+markers', name: 'vh', line: , type: 'scatter' >; var trace6 = < x: [1, 2, 3, 4, 5], y: [26, 28, 27, 28, 26], mode: 'lines+markers', name: 'hv', line: , type: 'scatter' >; var data = [trace1, trace2, trace3, trace4, trace5, trace6]; var layout = < legend: < y: 0.5, traceorder: 'reversed', font: , yref: 'paper' >>; Plotly.newPlot('myDiv', data, layout); 

Graph and Axes Titles

var trace1 = < x: [1, 2, 3, 4], y: [10, 15, 13, 17], mode: 'markers', name: 'Scatter' >; var trace2 = < x: [2, 3, 4, 5], y: [16, 5, 11, 9], mode: 'lines', name: 'Lines' >; var trace3 = < x: [1, 2, 3, 4], y: [12, 9, 15, 12], mode: 'lines+markers', name: 'Scatter and Lines' >; var data = [trace1, trace2, trace3]; var layout = < title: 'Title of the Graph', xaxis: < title: 'x-axis title' >, yaxis: < title: 'y-axis title' >>; Plotly.newPlot('myDiv', data, layout);

Line Dash

var trace1 = < x: [1, 2, 3, 4, 5], y: [1, 3, 2, 3, 1], mode: 'lines', name: 'Solid', line: < dash: 'solid', width: 4 >>; var trace2 = < x: [1, 2, 3, 4, 5], y: [6, 8, 7, 8, 6], mode: 'lines', name: 'dashdot', line: < dash: 'dashdot', width: 4 >>; var trace3 = < x: [1, 2, 3, 4, 5], y: [11, 13, 12, 13, 11], mode: 'lines', name: 'Solid', line: < dash: 'solid', width: 4 >>; var trace4 = < x: [1, 2, 3, 4, 5], y: [16, 18, 17, 18, 16], mode: 'lines', name: 'dot', line: < dash: 'dot', width: 4 >>; var data = [trace1, trace2, trace3, trace4]; var layout = < title: 'Line Dash', xaxis: < range: [0.75, 5.25], autorange: false >, yaxis: < range: [0, 18.5], autorange: false >, legend: < y: 0.5, traceorder: 'reversed', font: < size: 16 >> >; Plotly.newPlot('myDiv', data, layout); 

Connect Gaps Between Data

var trace1 = < x: [1, 2, 3, 4, 5, 6, 7, 8], y: [10, 15, null, 17, 14, 12, 10, null, 15], mode: 'lines+markers', connectgaps: true >; var trace2 = < x: [1, 2, 3, 4, 5, 6, 7, 8], y: [16, null, 13, 10, 8, null, 11, 12], mode: 'lines', connectgaps: true >; var data = [trace1, trace2]; var layout = < title: 'Connect the Gaps Between Data', showlegend: false >; Plotly.newPlot('myDiv', data, layout); 

Labelling Lines with Annotations

var xData = [ [2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2013], [2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2013], [2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2013], [2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2013] ]; var yData = [ [74, 82, 80, 74, 73, 72, 74, 70, 70, 66, 66, 69], [45, 42, 50, 46, 36, 36, 34, 35, 32, 31, 31, 28], [13, 14, 20, 24, 20, 24, 24, 40, 35, 41, 43, 50], [18, 21, 18, 21, 16, 14, 13, 18, 17, 16, 19, 23] ]; var colors = ['rgba(67,67,67,1)', 'rgba(115,115,115,1)', 'rgba(49,130,189, 1)', 'rgba(189,189,189,1)' ]; var lineSize = [2, 2, 4, 2]; var labels = ['Television', 'Newspaper', 'Internet', 'Radio']; var data = []; for ( var i = 0 ; i < xData.length ; i++ ) < var result = < x: xData[i], y: yData[i], type: 'scatter', mode: 'lines', line: < color: colors[i], width: lineSize[i] >>; var result2 = < x: [xData[i][0], xData[i][11]], y: [yData[i][0], yData[i][11]], type: 'scatter', mode: 'markers', marker: < color: colors[i], size: 12 >>; data.push(result, result2); > var layout = < showlegend: false, height: 600, width: 600, xaxis: < showline: true, showgrid: false, showticklabels: true, linecolor: 'rgb(204,204,204)', linewidth: 2, autotick: false, ticks: 'outside', tickcolor: 'rgb(204,204,204)', tickwidth: 2, ticklen: 5, tickfont: < family: 'Arial', size: 12, color: 'rgb(82, 82, 82)' >>, yaxis: < showgrid: false, zeroline: false, showline: false, showticklabels: false >, autosize: false, margin: < autoexpand: false, l: 100, r: 20, t: 100 >, annotations: [ < xref: 'paper', yref: 'paper', x: 0.0, y: 1.05, xanchor: 'left', yanchor: 'bottom', text: 'Main Source for News', font:< family: 'Arial', size: 30, color: 'rgb(37,37,37)' >, showarrow: false >, < xref: 'paper', yref: 'paper', x: 0.5, y: -0.1, xanchor: 'center', yanchor: 'top', text: 'Source: Pew Research Center & Storytelling with data', showarrow: false, font: < family: 'Arial', size: 12, color: 'rgb(150,150,150)' >> ] >; for( var i = 0 ; i < xData.length ; i++ ) < var result = < xref: 'paper', x: 0.05, y: yData[i][0], xanchor: 'right', yanchor: 'middle', text: labels[i] + ' ' + yData[i][0] +'%', showarrow: false, font: < family: 'Arial', size: 16, color: 'black' >>; var result2 = < xref: 'paper', x: 0.95, y: yData[i][11], xanchor: 'left', yanchor: 'middle', text: yData[i][11] +'%', font: < family: 'Arial', size: 16, color: 'black' >, showarrow: false >; layout.annotations.push(result, result2); > Plotly.newPlot('myDiv', data, layout); 

Источник

Chart.js

Simple yet flexible JavaScript charting library for the modern web

New in 4.0 Colors plugin

Default palette of Chart.js brand colors is available as a built-in time-saving zero-configuration plugin.

New in 4.0 Tree-shaking

JavaScript bundle size can be reduced by dozens of kilobytes by registering only necessary components.

New in 3.5 Scale stacking

Layout boxes can be stacked and weighted in groups.

New in 3.4 Subtitle plugin

A secondary title plugin with all the same options as main title.

New in 3.1 Line segment styling

Line segments can be styled by any user defined criteria.

New in 3.0 Advanced animations

Transitions of every property in every element can be configured individually and independently.

New in 3.0 Performance!

Numerous performance enhancements have been introduced. This example has 1M (2x500k) points with the new decimation plugin enabled.

New in 2.0 Mixed chart types

Mix and match bar and line charts to provide a clear visual distinction between datasets.

New in 2.0 New chart axis types

Plot complex, sparse datasets on date time, logarithmic or even entirely custom scales with ease.

New in 2.0 Animate everything!

Out of the box stunning transitions when changing data, updating colours and adding datasets.

Open source

Chart.js is a community maintained project, contributions welcome!

8 Chart types

Visualize your data in 8 different ways; each of them animated and customisable.

HTML5 Canvas

Great rendering performance across all modern browsers (IE11+).

Responsive

Redraws charts on window resize for perfect scale granularity.

Find Chart.js on GitHub or Read detailed documentation

Chart.js was built from the hard work of all these contributors.

Источник