How to make 3D subplots using plotly?
This recipe helps you make 3D subplots using plotly
Recipe Objective
Make 3D subplots using plotly
Plotly gives a function through which we can make subplots. Lets understand this practically.
Table of Contents
Step 1 - Import libraries
import plotly.graph_objects as go
from plotly.subplots import make_subplots
import numpy as np
Step 2 - Initialize subplots
fig = make_subplots(
rows=2, cols=2,
specs=[[{'type': 'surface'}, {'type': 'surface'}],
[{'type': 'surface'}, {'type': 'surface'}]])
Here we are initializing figure with 4 3D subplots
Step 3 - Generate the Data
Data_x = np.linspace(-5, 80, 10)
Data_y = np.linspace(-5, 60, 10)
xGrid, yGrid = np.meshgrid(Data_y, Data_x)
Data_z = xGrid ** 3 + yGrid ** 3
Step 4 - Plot graph
fig.add_trace(
go.Surface(x=Data_x, y=Data_y, z=Data_z, colorscale='Viridis', showscale=False),
row=1, col=1)
fig.add_trace(
go.Surface(x=Data_x, y=Data_y, z=Data_z, colorscale='RdBu', showscale=False),
row=1, col=2)
fig.add_trace(
go.Surface(x=Data_x, y=Data_y, z=Data_z, colorscale='YlOrRd', showscale=False),
row=2, col=1)
fig.add_trace(
go.Surface(x=Data_x, y=Data_y, z=Data_z, colorscale='YlGnBu', showscale=False),
row=2, col=2)
fig.update_layout(
title_text='Differnt 3D subplots with different color scale',
height=900,
width=900
)
fig.show()
Here we are adding surfaces to the subplots and then plotting them
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I come from a background in Marketing and Analytics and when I developed an interest in Machine Learning algorithms, I did multiple in-class courses from reputed institutions though I got good... Read More