# Axes in JavaScript

How to adjust axes properties in D3.js-based javascript charts. Seven examples of linear and logarithmic axes, axes titles, and styling and coloring axes and grid lines.

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### Tick Placement, Color, and Style

var trace1 = {
x: [0, 1, 2, 3, 4, 5, 6, 7, 8],
y: [8, 7, 6, 5, 4, 3, 2, 1, 0],
type: 'scatter'
};
var trace2 = {
x: [0, 1, 2, 3, 4, 5, 6, 7, 8],
y: [0, 1, 2, 3, 4, 5, 6, 7, 8],
type: 'scatter'
};
var data = [trace1, trace2];
var layout = {
xaxis: {
autotick: false,
ticks: 'outside',
tick0: 0,
dtick: 0.25,
ticklen: 8,
tickwidth: 4,
tickcolor: '#000'
},
yaxis: {
autotick: false,
ticks: 'outside',
tick0: 0,
dtick: 0.25,
ticklen: 8,
tickwidth: 4,
tickcolor: '#000'
}
};
Plotly.newPlot('myDiv', data, layout);


### Styling and Coloring Axes and the Zero-Line

var trace1 = {
x: [0, 1, 2, 3, 4, 5, 6, 7, 8],
y: [8, 7, 6, 5, 4, 3, 2, 1, 0],
type: 'scatter'
};
var trace2 = {
x: [0, 1, 2, 3, 4, 5, 6, 7, 8],
y: [0, 1, 2, 3, 4, 5, 6, 7, 8],
type: 'scatter'
};
var data = [trace1, trace2];
var layout = {
xaxis: {
showgrid: true,
zeroline: true,
showline: true,
mirror: 'ticks',
gridcolor: '#bdbdbd',
gridwidth: 2,
zerolinecolor: '#969696',
zerolinewidth: 4,
linecolor: '#636363',
linewidth: 6
},
yaxis: {
showgrid: true,
zeroline: true,
showline: true,
mirror: 'ticks',
gridcolor: '#bdbdbd',
gridwidth: 2,
zerolinecolor: '#969696',
zerolinewidth: 4,
linecolor: '#636363',
linewidth: 6
}
};
Plotly.newPlot('myDiv', data, layout);


### Set and Style Axes Title Labels and Ticks

d3.csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv", function(err, rows){
function unpack(rows, key) {
return rows.map(function(row) { return row[key]; });
}

var x = unpack(rows, 'Date')
var y = unpack(rows, 'AAPL.Volume')

var trace = {
type: "scatter",
mode: "lines",
name: 'AAPL Volume',
x: x,
y: y,
line: {color: 'grey'}
}

var data = [trace];

var layout = {
title: 'Volume of Apple Shares Traded',
xaxis: {
title: 'AXIS TITLE',
titlefont: {
family: 'Arial, sans-serif',
size: 18,
color: 'lightgrey'
},
showticklabels: true,
tickangle: 'auto',
tickfont: {
family: 'Old Standard TT, serif',
size: 14,
color: 'black'
},
exponentformat: 'e',
showexponent: 'all'
},
yaxis: {
title: 'AXIS TITLE',
titlefont: {
family: 'Arial, sans-serif',
size: 18,
color: 'lightgrey'
},
showticklabels: true,
tickangle: 45,
tickfont: {
family: 'Old Standard TT, serif',
size: 14,
color: 'black'
},
exponentformat: 'e',
showexponent: 'all'
}
};

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


### Setting the Range of Axes Manually

var trace1 = {
x: [0, 1, 2, 3, 4, 5, 6, 7, 8],
y: [8, 7, 6, 5, 4, 3, 2, 1, 0],
type: 'scatter'
};
var trace2 = {
x: [0, 1, 2, 3, 4, 5, 6, 7, 8],
y: [0, 1, 2, 3, 4, 5, 6, 7, 8],
type: 'scatter'
};
var data = [trace1, trace2];
var layout = {
xaxis: {range: [2, 5]},
yaxis: {range: [2, 5]}
};
Plotly.newPlot('myDiv', data, layout);


### Toggling Axes Lines, Ticks, Labels, and Autorange

var trace1 = {
x: [0, 1, 2, 3, 4, 5, 6, 7, 8],
y: [8, 7, 6, 5, 4, 3, 2, 1, 0],
type: 'scatter'
};
var trace2 = {
x: [0, 1, 2, 3, 4, 5, 6, 7, 8],
y: [0, 1, 2, 3, 4, 5, 6, 7, 8],
type: 'scatter'
};
var data = [trace1, trace2];
var layout = {
xaxis: {
autorange: true,
showgrid: false,
zeroline: false,
showline: false,
autotick: true,
ticks: '',
showticklabels: false
},
yaxis: {
autorange: true,
showgrid: false,
zeroline: false,
showline: false,
autotick: true,
ticks: '',
showticklabels: false
}
};
Plotly.newPlot('myDiv', data, layout);


### Enumerated Ticks with Tickvals and Ticktext

d3.csv('https://raw.githubusercontent.com/plotly/datasets/master/stockdata.csv', function(err, rows){
function unpack(rows, key) {
return rows.map(function(row)
{ return row[key]; });}

var trace1 = {
x:unpack(rows, 'Date'),
y: unpack(rows, 'IBM'),
mode: 'markers',
marker: {
size: 7,
line: {
width: 0.5},
opacity: 0.8},
type: 'scatter'
};

var layout = {
title: 'IBM Stock Data: Jan 2007 - Mar 2016',
xaxis: {tickvals:['2007-01-01', '2007-09-01', '2008-01-01', '2008-09-01', '2009-01-01', '2010-01-01', '2011-01-01', '2011-02-14',  '2012-01-01', '2013-01-01', '2014-01-01', '2015-01-01', '2016-01-01'],
ticktext : ['2007', 'Financial Crisis Starts', '2008', 'Financial Crisis Ends', '2009', '2010', '2011', 'IBM wins Jeopardy!', '2012', '2013', '2014', '2015', '2016']},
}

var data = [trace1];
Plotly.newPlot('myDiv', data, layout);
});


### nonnegative, tozero, and normal Rangemode

var data = [
{
x: [2, 4, 6],
y: [-3, 0, 3],
type: 'scatter'
}
];
var layout = {
showlegend: false,
xaxis: {
rangemode: 'tozero',
autorange: true
},
yaxis: {
rangemode: 'nonnegative',
autorange: true
}
};
Plotly.newPlot('myDiv', data, layout);


### Logarithmic Axes

var trace1 = {
x: [0, 1, 2, 3, 4, 5, 6, 7, 8],
y: [8, 7, 6, 5, 4, 3, 2, 1, 0],
type: 'scatter'
};
var trace2 = {
x: [0, 1, 2, 3, 4, 5, 6, 7, 8],
y: [0, 1, 2, 3, 4, 5, 6, 7, 8],
type: 'scatter'
};
var data = [trace1, trace2];
var layout = {
xaxis: {
type: 'log',
autorange: true
},
yaxis: {
type: 'log',
autorange: true
}
};
Plotly.newPlot('myDiv', data, layout);


### Set Axis Title Position

This example sets standoff attribute to cartesian axes to determine the distance between the tick labels and the axis title. Note that the axis title position is always constrained within the margins, so the actual standoff distance is always less than the set or default value. By setting standoff and turning automargin on, plotly.js will push the margins to fit the axis title at given standoff distance.

var data = [{
mode: "lines+markers",
x:["December", "January", "February"],
y:[4,1,3]
}]

var layout = {
margin: {t:0,r:0,b:0,l:20},
xaxis: {
automargin: true,
tickangle: 90,
title: {
text: "Month",
standoff: 20
}},
yaxis: {
automargin: true,
tickangle: 90,
title: {
text: "Temprature",
standoff: 40
}}}

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

### Reversed Axes

var data = [
{
x: [1, 2],
y: [1, 2],
type: 'scatter'
}
];
var layout = {xaxis: {autorange: 'reversed'}};
Plotly.newPlot('myDiv', data, layout);


### Reversed Axes with Range ( Min/Max ) Specified

var data = [
{
x: [0.0, 0.1, 0.2, 0.3, 0.4, 0.51, 0.61, 0.71, 0.81, 0.91, 1.01, 1.11, 1.21, 1.31, 1.41, 1.52, 1.62, 1.72, 1.82, 1.92, 2.02, 2.12, 2.22, 2.32, 2.42, 2.53, 2.63, 2.73, 2.83, 2.93, 3.03, 3.13, 3.23, 3.33, 3.43, 3.54, 3.64, 3.74, 3.84, 3.94, 4.04, 4.14, 4.24, 4.34, 4.44, 4.55, 4.65, 4.75, 4.85, 4.95, 5.05, 5.15, 5.25, 5.35, 5.45, 5.56, 5.66, 5.76, 5.86, 5.96, 6.06, 6.16, 6.26, 6.36, 6.46, 6.57, 6.67, 6.77, 6.87, 6.97, 7.07, 7.17, 7.27, 7.37, 7.47, 7.58, 7.68, 7.78, 7.88, 7.98, 8.08, 8.18, 8.28, 8.38, 8.48, 8.59, 8.69, 8.79, 8.89, 8.99, 9.09, 9.19, 9.29, 9.39, 9.49, 9.6, 9.7, 9.8, 9.9, 10.0],
y: [63, 65, 78, 92, 12, 50, 17, 31, 1, 25, 76, 66, 83, 38, 95, 23, 20, 88, 31, 26, 39, 74, 11, 84, 7, 13, 30, 85, 80, 47, 12, 89, 12, 35, 99, 78, 77, 56, 26, 13, 96, 55, 19, 88, 31, 1, 42, 39, 99, 62, 68, 61, 45, 44, 10, 25, 89, 82, 28, 2, 24, 1, 32, 16, 29, 40, 55, 75, 20, 41, 67, 33, 92, 14, 16, 22, 86, 55, 37, 42, 42, 85, 60, 11, 54, 3, 34, 29, 59, 28, 25, 67, 90, 10, 29, 16, 51, 17, 2, 34],
mode: "markers"
}
];
var layout = {
title: "Reversed Axis with Min/Max",
xaxis: {
range: [10, 0]
}
};
Plotly.newPlot('myDiv', data, layout);

### Categorical Axes

var trace1 = {
x: ['A12', 'BC2', 109, '12F', 215, 304],
y: [1, 6, 3, 5, 1, 4],
mode: 'markers',
type: 'bar',
name: 'Team A',
text: ['Apples', 'Pears', 'Peaches', 'Bananas', 'Pineapples', 'Cherries'],
};

var data = [ trace1 ];

var layout = {
xaxis: {
type: 'category',
title: 'Product Code',
},
yaxis: {
range: [0, 7],
title: 'Number of Items in Stock'
},
title:'Inventory'
};

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


### Multi-Category Axes

var trace1 = {
x: [
['SF Zoo','SF Zoo','SF Zoo'],
['giraffes', 'orangutans', 'monkeys']
],
y: [20, 14, 23],
name: 'SF Zoo',
type: 'bar'
};

var trace2 = {
x: [
['LA Zoo','LA Zoo','LA Zoo'],
['giraffes', 'orangutans', 'monkeys']
],
y: [12, 18, 29],
name: 'LA Zoo',
type: 'bar'
};

var data = [trace1, trace2];
var layout = {
showlegend: false,
xaxis: {
tickson: "boundaries",
ticklen: 15,
showdividers: true,
dividercolor: 'grey',
dividerwidth: 2
}
};

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


### Using Dates on the X-Axis

var trace1 = {
x: ['2000-01-01', '2000-01-02', '2000-01-03', '2000-01-04', '2000-01-05', '2000-01-06', '2000-01-07', '2000-01-08', '2000-01-09', '2000-01-10', '2000-01-11', '2000-01-12', '2000-01-13', '2000-01-14', '2000-01-15', '2000-01-16', '2000-01-17', '2000-01-18', '2000-01-19', '2000-01-20', '2000-01-21', '2000-01-22', '2000-01-23', '2000-01-24', '2000-01-25', '2000-01-26', '2000-01-27', '2000-01-28', '2000-01-29', '2000-01-30', '2000-01-31'],
y: [4.3, 8.2, 4.1, 5.6, -3, -0.2, 0.3, 0.4, 4.1, 5, 4.6, -0.2, -8.5, -9.1, -2.7, -2.7, -17, -11.3, -5.5, -6.5, -16.9, -12, -6.1, -6.6, -7.9, -10.8, -14.8, -11, -4.4, -1.3, -1.1],
mode: 'lines',
type: 'scatter',
name: '2000'
};

var data = [ trace1 ];

var layout = {
xaxis: {
type: 'date',
title: 'January Weather'
},
yaxis: {
title: 'Daily Mean Temperature'
},
title:'2000 Toronto January Weather'
};

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


### Fixed-Ratio Axes

var trace0 = {
x: [0,1,1,0,0,1,1,2,2,3,3,2,2,3],
y: [0,0,1,1,3,3,2,2,3,3,1,1,0,0]
}

var trace1 = {
x: [0,1,2,3],
y: [1,2,4,8],
yaxis:"y2"
}

var trace2 = {
x: [1,10,100,10,1],
y: [0,1,2,3,4],
xaxis: "x2",
yaxis:"y3",
}

var trace3 = {
x: [1,100,30,80,1],
y: [1,1.5,2,2.5,3],
xaxis:"x2",
yaxis:"y4"
}

var data = [trace0,trace1,trace2,trace3]

var layout = {
width: 800,
height: 500,
title: "fixed-ratio axes",
xaxis: {
nticks: 10,
domain: [0, 0.45],
title: "shared X axis"
},
yaxis: {
scaleanchor: "x",
domain: [0, 0.45],
title: "1:1"
},
yaxis2: {
scaleanchor: "x",
scaleratio: 0.2,
domain: [0.55,1],
title: "1:5"
},
xaxis2: {
type: "log",
domain: [0.55, 1],
anchor: "y3",
title: "unconstrained log X"
},
yaxis3: {
domain: [0, 0.45],
anchor: "x2",
title: "Scale matches ->"
},
yaxis4: {
scaleanchor: "y3",
domain: [0.55, 1],
anchor: "x2",
title: "Scale matches <-"
},
showlegend: false
}

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


### Specifying Label Aliases

This example uses labelalias to update the text displayed for the x-axis values.

var trace1 = {
x: ['UK', 'US', 'Germany', 'France'],
y: [8, 3, 10, 3],
type: 'bar',
};

var data = [trace1];

var layout = {
xaxis: {
labelalias: {
UK: 'ðŸ‡¬ðŸ‡§ United Kingdom',
US: 'ðŸ‡ºðŸ‡¸ United States',
France: 'ðŸ‡«ðŸ‡· France'}
},
};

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


### Use Base64-Encoded Typed Arrays

Plotly.js 2.28.0 and later supports using base64-encoded typed arrays. To use a base64-encoded typed array, pass an object with the keys bdata (a base64-encoded string or the ArrayBuffer of an integer or float typed array) and dtype (the data type of the array, where the supported types are float64, float32, int32, uint32, int16, uint16, int8, uint8, and uint8c). You can also specify shape for multidimensional arrays. For example, '4,10' would be a 2D array with 4 rows and 10 columns.

var x = 'VVVVVVVV1b8AAAAAAAAAAFVVVVVVVdU/'
var y = 'q6qqPquqqr4='
var z = 'AABkAMgALAGQAfQB'

var trace1 = {
x: {
bdata: x,
dtype: 'f8'
},
y: {
bdata: y,
dtype: 'f4'
},
z: {
bdata: z,
dtype: 'u2',
shape: '2,3'
},
type: 'surface'
};

var data = [trace1];

Plotly.newPlot('myDiv', data);