Python

# Plotly.Graph_objects.mesh3d

“Mesh plots are types of plots that use a set of triangles with the given points of x, y, and z coordinates.
In this article, we will explore how to create 3-dimensional mesh diagrams using the graph_objects module.”

Let’s dive in.

## Simple Mesh Diagram

We can create a simple 3d mesh plot by specifying the x, y, and z values to the mesh3d class.

Take the code snippet provided below:

import plotly.graph_objects as go
x = [0,1,2,0]
y = [0,0,1,2]
z = [0,2,0,1]
fig = go.Figure(data=go.Mesh3d(
x=x, y=y, z=z
))
fig.show()

The code above will create a simple tetrahedron, as shown in the output below:

To create a complete tetrahedron plot, you can specify the i, j, and k parameters.

## Mesh Diagram From Dataset

Similarly, you can create a mesh diagram from a dataset by specifying the x, y, and x parameters as columns within the DataFrame.

An example is as shown:

import plotly.graph_objects as go
import pandas as pd
fig = go.Figure(data=go.Mesh3d(
x=df['x'],
y=df['y'],
z=df['z'],
i=df['i'],
j=df['j'],
k=df['k']
))
fig.show()

The code above will load the sphere dataset into the df variable. We then plot the sphere by specifying the x, y, z, i, j, and k parameters as the columns in the DataFram.

The resulting figure is as shown:

We can also set a different color using the facecolor parameter as shown:

fig = go.Figure(data=go.Mesh3d(
x=df['x'],
y=df['y'],
z=df['z'],
i=df['i'],
j=df['j'],
k=df['k'],
facecolor=df['facecolor']
))

## Termination

In this tutorial, we explored how to create 3d mesh diagrams using Mesh3d class from the Plotly graph_objects module.