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# 3D Isosurface Plots in Python

How to make 3D Isosurface Plots in Python with Plotly.

New to Plotly?

Plotly is a free and open-source graphing library for Python. We recommend you read our Getting Started guide for the latest installation or upgrade instructions, then move on to our Plotly Fundamentals tutorials or dive straight in to some Basic Charts tutorials.

With go.Isosurface, you can plot isosurface contours of a scalar field value, which is defined on x, y and z coordinates.

#### Basic Isosurface¶

In this first example, we plot the isocontours of values isomin=2 and isomax=6. In addition, portions of the sides of the coordinate domains for which the value is between isomin and isomax (named the caps) are colored. Please rotate the figure to visualize both the internal surfaces and the caps surfaces on the sides.

In :
import plotly.graph_objects as go

fig= go.Figure(data=go.Isosurface(
x=[0,0,0,0,1,1,1,1],
y=[1,0,1,0,1,0,1,0],
z=[1,1,0,0,1,1,0,0],
value=[1,2,3,4,5,6,7,8],
isomin=2,
isomax=6,
))

fig.show()


### Removing caps when visualizing isosurfaces¶

For a clearer visualization of internal surfaces, it is possible to remove the caps (color-coded surfaces on the sides of the visualization domain). Caps are visible by default.

In :
import plotly.graph_objects as go
import numpy as np

X, Y, Z = np.mgrid[-5:5:40j, -5:5:40j, -5:5:40j]

# ellipsoid
values = X * X * 0.5 + Y * Y + Z * Z * 2

fig = go.Figure(data=go.Isosurface(
x=X.flatten(),
y=Y.flatten(),
z=Z.flatten(),
value=values.flatten(),
isomin=10,
isomax=40,
caps=dict(x_show=False, y_show=False)
))
fig.show()