Plotly: How to use the same color scheme on two subplots?

Question

I am trying to plot two scatter subplots with plotly whereby the colour automatically chosen in the two sub-plots is the same, but I cannot find a way to do so.

Following is a code snippet:

import plotly as py
import plotly.tools as to
import numpy as np
import plotly.graph_objs as go
fig=to.make_subplots(rows=1,cols=2,subplot_titles=['Plot 1','Plot 2'])
X=[0,50,100,150,200,250,300,350,400,450,500]
Y=[1,2,3,4,5,6,7,8,9,10,11]
Z=Y.copy()
for i  in np.arange(11):
    if i==0:
            Z[0]=Y[0]
    else:
            Z[i]=Y[i]+Z[i-1]
trace=go.Scatter(x=X,y=Y)
fig.append_trace(trace,1,1)
trace=go.Scatter(x=X,y=Z,showlegend=False)
fig.append_trace(trace,1,2);
py.offline.plot(fig)

The above code plots two subplots and the scatters will have a different colour. I want them to have the same colour. I am aware that I can hard-code the colour on the two scatters but I need the colours to be selected automatically from some colour scheme.

How can I achieve what I need?

Answer 1

The following suggestion uses plotly version 4.2.0, but the approach regarding the colors should be the same.

You can set the color of your lines in markers in your subplots using:

line=dict(width=2, color=cols[0])
marker=dict(color=cols[1])

If you'd like to work with a certain color scheme you can pick up the default plotly colors using:

#in:
import plotly
cols = plotly.colors.DEFAULT_PLOTLY_COLORS

#out:
['rgb(31, 119, 180)',
 'rgb(255, 127, 14)',
 'rgb(44, 160, 44)',
 'rgb(214, 39, 40)',
 'rgb(148, 103, 189)',
 'rgb(140, 86, 75)',
 'rgb(227, 119, 194)',
 'rgb(127, 127, 127)',
 'rgb(188, 189, 34)',
 'rgb(23, 190, 207)']

Here's an example that uses the same colors from the same color scheme on the lines, and a bit different colors on the markers.

Plot:

Code:

# imports
from plotly.subplots import make_subplots
import plotly.graph_objs as go
import pandas as pd
import numpy as np
import plotly

cols = plotly.colors.DEFAULT_PLOTLY_COLORS


fig=make_subplots(rows=1,cols=2,subplot_titles=['Plot 1','Plot 2'])
X=[0,50,100,150,200,250,300,350,400,450,500]
Y=[1,2,3,4,5,6,7,8,9,10,11]
Z=Y.copy()
for i  in np.arange(11):
    if i==0:
            Z[0]=Y[0]
    else:
            Z[i]=Y[i]+Z[i-1]
trace=go.Scatter(x=X,
                 y=Y,
                 line=dict(width=2, color=cols[0]),
                 marker=dict(color=cols[1]),
                 showlegend=False
                )
fig.append_trace(trace,1,1)

trace=go.Scatter(x=X,
                 y=Z,
                 line=dict(width=2, color=cols[0]),
                 marker=dict(color=cols[7]),
                 showlegend=False)

fig.append_trace(trace,1,2)

fig.show()