Plotly: How to change the colour scheme of a 3D surface plot?

Question

I want to change the colour scheme of the 3D surface plot in the plotly python. Plotly assigns the colour scheme by default as shown in figure below.

Here is my code

import import plotly.graph_objects as go
import pandas as pd

data = pd.read_csv('\Data.csv')
data.set_index("years", inplace = True)
figure = go.Figure(data=[go.Surface(z=data.values)])
figure.update_layout(
            scene = dict(
                xaxis = dict(
                    title = 'Months',
                    #nticks = 5,
                    autorange='reversed',
                    showgrid=True, 
                    gridwidth=1, 
                    gridcolor='Blue',
                    ticktext = data.columns,
                    tickvals= list(range(0,data.shape[1]))),
                
                    
                yaxis = dict(
                    title = 'years',
                    showgrid=True, 
                    gridwidth=1, 
                    gridcolor='Blue',
                    ticktext = data.index,
                    tickvals= list(range(0,data.shape[0]))),
              
                zaxis = dict(
                    title = 'Discharge (Cumecs)',
                    #showgrid=True, 
                    gridwidth=1,
                    gridcolor='Blue')),
           tilte = 'Plot 1'
)

I find [this answer](https://stackoverflow.com/questions/53992606/plotly-different-color-surfaces) to be very helpful. — r-beginners, Feb 04 '21 at 12:31

vestland · Accepted Answer · 2021-02-04T15:57:42.863

5

You can easily change the colour scheme through colorscale in

go.Surface(colorscale ='<color>')

Here's an example using colorscale='Blues:

fig = go.Figure(data=[go.Surface(z=z_data.values, colorscale ='Blues')])

Plot

Your colorscale options are (but not necessarily limited to):

Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividis.

Sample code:

import plotly.graph_objects as go

import pandas as pd

# Read data from a csv
z_data = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/api_docs/mt_bruno_elevation.csv')

fig = go.Figure(data=[go.Surface(z=z_data.values, colorscale ='Blues')])

fig.update_layout(title='Mt Bruno Elevation', autosize=False,
                  width=500, height=500,
                  margin=dict(l=65, r=50, b=65, t=90))
f = fig.full_figure_for_development(warn=False)


fig.show()

edited Feb 04 '21 at 15:57

answered Feb 04 '21 at 13:12

vestland

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Thanks a lot...as a newbie I miss a lots of simple things... – Asif Marazi Feb 04 '21 at 16:55
1

@AsifMarazi Newbie or not, in my humble opinion you're off to a *very* good start on SO. You've asked a question that did not have a very easily googlable (not sure if that is a word though =) answer, and you've provided an *almost* reproducible code snippet. And that's more than we see from most of the newbies in here. But more importantly, you've proven that an answer to your question has a value above zero to you by providing swift feedback through commenting on, and accepting, a suggested solution. Keep up the good work, and you will learn **a lot** in here. See you around! – vestland Feb 04 '21 at 23:48
1

Sorry for the delayed response...I am currently very much enthusiastic to learn programming and your help is surely needed...Thanks for your appreciation... – Asif Marazi Feb 05 '21 at 15:58

Plotly: How to change the colour scheme of a 3D surface plot?

1 Answers1

Plot

Your colorscale options are (but not necessarily limited to):

Sample code: