Outline plot area in plotly in Python

Question

I've made a figure in plotly, e.g.:

import plotly.plotly as py
import plotly.graph_objs as go

trace1 = go.Scatter(
    x=[1, 2, 3, 4, 5, 6, 7],
    y=[7, 6, 5, 4, 3, 2, 1]
)
trace2 = go.Scatter(
    x=[1, 2, 3, 4, 5, 6, 7, 8],
    y=[1, 2, 3, 4, 5, 6, 7, 8]
)
data = [trace1, trace2]
layout = dict(xaxis = dict(title = 'T (K)', showgrid=False, ticks='inside'),
                yaxis = dict(title = 'normalized intensity', showgrid=False, ticks='inside'),
                font=dict(size=18),
                )
fig = go.Figure(data=data, layout=layout)
py.iplot(fig, auto_open=True, filename='test_fig.png')
py.image.save_as(fig, filename='test_fig.png')

and the figure looks like:

I'd like an outline of the plot area like so:

but I am unable to figure it out from the plot.ly docs so far. Is this possible?

setting showline=True in each axis dictionary will give you the left and bottom lines, not sure if top and right are possible though. — asongtoruin
– asongtoruin, Commented Feb 7, 2017 at 17:45

Maximilian Peters · Accepted Answer · 2017-02-07 20:06:14Z

31

All you need is to find another well hidden Plotly attribute. In this case it is mirror.

mirror (enumerated: True | "ticks" | False | "all" | "allticks" )

Determines if the axis lines or/and ticks are mirrored to the opposite side of the plotting area. If "True", the axis lines are mirrored. If "ticks", the axis lines and ticks are mirrored. If "False", mirroring is disable. If "all", axis lines are mirrored on all shared-axes subplots. If "allticks", axis lines and ticks are mirrored on all shared-axes subplots.

Add

mirror=True,
ticks='outside',
showline=True,

to your xaxis and yaxis dicts and you get the following graph.

answered Feb 7, 2017 at 20:06

Maximilian Peters

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2 Comments

wordsforthewise Over a year ago

Hah thanks. I'd say 'well-hidden' is not a good property of methods/attributes of a programming library.

Maximilian Peters Over a year ago

@wordsforthewise: Well to Plotly's defense, it is shown on the example pages but googling won't help you because the essential keywords are missing. plot.ly/python/axes/#styling-and-coloring-axes-and-the-zeroline

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