Layout Setting for Plotly

Table of Contents

• Table of Contents
• Overview
• Canva Size
• Plot in specific area
• Code Example
  • Canva Size (Example)
  • Plot in specific area (Example)
• View My Interactive Chart

Overview

This post talks about the layout setting for Plotly. Specifically, the layout setting can be evoked by

1layout = go.Layout(**kwargs)
2fig = go.Figure(data=data, layout=layout)
3# i.e. plot(fig)

where **kwargs is a series of settings.

Canva Size

The canva size can be set by:

• width. In pixels (e.g. width=800)
• height. In pixels (e.g. height=600)
• autosize. A boolean. If True, the canva will be resized automatically to fit dimensions that are not explicitly set.
• margin. A dictionary with keys l, r, t, b, pad (e.g. margin=dict(l=20, r=20, t=20, b=20, pad=4))

Example

Plot in specific area

This can be combined to create multiple plots of different sizes in the same figure.

In trace, the xaxis and yaxis can be set to x1, x2 (“x” + integer) and y1, y2 (“y” + integer) to specify the plot area.

In layout, set a group of xaxis and yaxis to match those in trace. Specifically,

In layout these axis should be anchored to its counterpart in trace by domain like

 1trace = go.Scatter(
 2    ...
 3    xaxis='x2',
 4    yaxis='y2'
 5)
 6layout = go.Layout(
 7    xaxis2=dict(
 8        domain=[0.6, 1],
 9        anchor='y2' # Note that it is 'y2' not 'x2'
10    ),
11    yaxis2=dict(
12        domain=[0.6, 1],
13        anchor='x2' # Note that it is 'x2' not 'y2'
14    )
15)

Example

Code Example

Canva Size (Example)

1layout = go.Layout(
2    height=2000,
3    autosize=True,
4    margin=dict(l=20, r=20, t=20, b=20, pad=4)
5)

This should enable a canvas that has fixed height and variable width. (e.g. Zooming out in browser -> both dim pixels increase -> (But height pixels fixed) Plot are “longers”)

Plot in specific area (Example)

 1trace1 = go.Scatter(
 2    x=[1, 2, 3],
 3    y=[4, 5, 6],
 4    xaxis='x1',
 5    yaxis='y1'
 6)
 7trace2 = go.Scatter(
 8    x=[1, 2, 3],
 9    y=[4, 5, 6],
10    xaxis='x2',
11    yaxis='y2'
12)
13layout = go.Layout(
14    xaxis1=dict(
15        domain=[0, 0.5],
16        anchor='y1'
17    ),
18    yaxis1=dict(
19        domain=[0, 0.5],
20        anchor='x1'
21    ),
22    xaxis2=dict(
23        domain=[0.5, 1],
24        anchor='y2'
25    ),
26    yaxis2=dict(
27        domain=[0.5, 1],
28        anchor='x2'
29    )
30)

View My Interactive Chart

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Click here to view the chart

View My Chart