# Parallel Coordinates Plot in JavaScript

How to make D3.js-based parallel coordinates plots in Plotly.js.

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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.

Parallel coordinates are richly interactive by default. Drag the lines along the axes to filter regions and drag the axis names across the plot to rearrange variables:

var trace = {
type: 'parcoords',
line: {
color: 'blue'
},

dimensions: [{
range: [1, 5],
constraintrange: [1, 2],
label: 'A',
values: [1,4]
}, {
range: [1,5],
label: 'B',
values: [3,1.5],
tickvals: [1.5,3,4.5]
}, {
range: [1, 5],
label: 'C',
values: [2,4],
tickvals: [1,2,4,5],
ticktext: ['text 1','text 2','text 4','text 5']
}, {
range: [1, 5],
label: 'D',
values: [4,2]
}]
};

var data = [trace]

Plotly.newPlot('myDiv', data);


### Basic Parallel Coordinates Plot

d3.csv('https://raw.githubusercontent.com/bcdunbar/datasets/master/iris.csv', function(err, rows){

function unpack(rows, key) {
return rows.map(function(row) {
return row[key];
});
}

var data = [{
type: 'parcoords',
line: {
color: unpack(rows, 'species_id'),
colorscale: [[0, 'red'], [0.5, 'green'], [1, 'blue']]
},

dimensions: [{
range: [2, 4.5],
label: 'sepal_width',
values: unpack(rows, 'sepal_width')
}, {
constraintrange: [5, 6],
range: [4,8],
label: 'sepal_length',
values: unpack(rows, 'sepal_length')
}, {
label: 'petal_width',
range: [0, 2.5],
values: unpack(rows, 'petal_width')
}, {
label: 'petal_length',
range: [1, 7],
values: unpack(rows, 'petal_length')
}]
}];

var layout = {
width: 800
};

Plotly.newPlot('myDiv', data, layout);

});


### Annotated Parallel Coordinates Plot

d3.csv('https://raw.githubusercontent.com/plotly/datasets/master/iris-id.csv', function(err, rows){

function unpack(rows, key) {
return rows.map(function(row) {
return row[key];
});
}

var data = [{
type: 'parcoords',
line: {
color: unpack(rows, 'species_id'),
colorscale: [[0, 'red'], [0.5, 'green'], [1, 'blue']]
},

dimensions: [{
range: [2, 4.5],
label: 'sepal_width',
values: unpack(rows, 'sepal_width')
}, {
constraintrange: [5, 6],
range: [4,8],
label: 'sepal_length',
values: unpack(rows, 'sepal_length')
}, {
label: 'petal_width',
range: [0, 2.5],
values: unpack(rows, 'petal_width')
}, {
label: 'petal_length',
range: [1, 7],
values: unpack(rows, 'petal_length')
}]
}];

var layout = {
width: 800,
annotations: [
{showarrow: false,
text: 'Higher sepal width',
x: 0, y: 1, xref: 'paper', yref: 'paper'},
{showarrow: false,
text: 'Lower petal width and length',
x: 0.9, y: .25, xref: 'paper', yref: 'paper'
}]
};

Plotly.newPlot('myDiv', data, layout);

});


d3.csv('https://raw.githubusercontent.com/bcdunbar/datasets/master/parcoords_data.csv', function(err, rows){

function unpack(rows, key) {
return rows.map(function(row) {
return row[key];
});
}

var data = [{
type: 'parcoords',
line: {
showscale: true,
reversescale: true,
colorscale: 'Jet',
cmin: -4000,
cmax: -100,
color: unpack(rows, 'colorVal')
},

dimensions: [{
constraintrange: [100000, 150000],
range: [32000, 227900],
label: 'Block height',
values: unpack(rows, 'blockHeight')
}, {
range: [0, 700000],
label: 'Block width',
values: unpack(rows, 'blockWidth')
}, {
label: 'Cylinder material',
tickvals: [0, 0.5, 1, 2, 3],
ticktext: ['A', 'AB', 'B', 'Y', 'Z'],
values: unpack(rows, 'cycMaterial')
}, {
label: 'Block material',
tickvals: [0, 1, 2, 3],
range: [-1, 4],
values: unpack(rows, 'blockMaterial')
}, {
range: [134, 3154],
label: 'Total weight',
visible: true,
values: unpack(rows, 'totalWeight')
}, {
range: [9, 19984],
label: 'Assembly penalty weight',
values: unpack(rows, 'assemblyPW')
}, {
range: [49000, 568000],
label: 'Height st width',
values: unpack(rows, 'HstW')
}, {
range: [-28000, 196430],
label: 'Min height width',
values: unpack(rows, 'minHW')
}, {
range: [98453, 501789],
label: 'Min width diameter',
values: unpack(rows, 'minWD')
}, {
range: [1417, 107154],
label: 'RF block',
values: unpack(rows, 'rfBlock')
}]
}];

Plotly.newPlot('myDiv', data);

});