# 3D Cone Plots in Python

How to make 3D Cone plots in Python with Plotly.

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A cone plot is the 3D equivalent of a 2D quiver plot, i.e., it represents a 3D vector field using cones to represent the direction and norm of the vectors. 3-D coordinates are given by x, y and z, and the coordinates of the vector field by u, v and w.

### Basic 3D Cone¶

In [1]:
import plotly.graph_objects as go

fig = go.Figure(data=go.Cone(x=[1], y=[1], z=[1], u=[1], v=[1], w=[0]))

fig.update_layout(scene_camera_eye=dict(x=-0.76, y=1.8, z=0.92))

fig.show()


### Multiple 3D Cones¶

In [2]:
import plotly.graph_objects as go

fig = go.Figure(data=go.Cone(
x=[1, 2, 3],
y=[1, 2, 3],
z=[1, 2, 3],
u=[1, 0, 0],
v=[0, 3, 0],
w=[0, 0, 2],
sizemode="absolute",
sizeref=2,
anchor="tip"))

fig.update_layout(
scene=dict(domain_x=[0, 1],
camera_eye=dict(x=-1.57, y=1.36, z=0.58)))

fig.show()


### 3D Cone Lighting¶

In [3]:
import plotly.graph_objects as go

fig = go.Figure()
fig.add_trace(go.Cone(x=[8,] * 3, lightposition=dict(x=0, y=0, z=1e5),
name="lighting.position x:0,y:0,z:1e5"))

fig.update_traces(y=[1, 2, 3], z=[1, 1, 1],
u=[1, 2, 3], v=[1, 1, 2], w=[4, 4, 1],
hoverinfo="u+v+w+name",
showscale=False)

fig.update_layout(scene=dict(aspectmode="data",
camera_eye=dict(x=0.05, y=-2.6, z=2)),
margin=dict(t=0, b=0, l=0, r=0))

fig.show()


### 3D Cone Vortex¶

In [4]:
import plotly.graph_objects as go
import pandas as pd

fig = go.Figure(data = go.Cone(
x=df['x'],
y=df['y'],
z=df['z'],
u=df['u'],
v=df['v'],
w=df['w'],
colorscale='Blues',
sizemode="absolute",
sizeref=40))

fig.update_layout(scene=dict(aspectratio=dict(x=1, y=1, z=0.8),
camera_eye=dict(x=1.2, y=1.2, z=0.6)))

fig.show()


### Sizemode¶

Earlier examples use sizemode="absolute" when adjusting the cone size scaling with sizeref. sizemode also supports raw(new in 5.21) and scaled.

In [5]:
import plotly.graph_objects as go
import pandas as pd

"https://raw.githubusercontent.com/plotly/datasets/master/cone_plot_data.csv"
)

fig = go.Figure(
data=go.Cone(
x=df["x"],
y=df["y"],
z=df["z"],
u=df["u"],
v=df["v"],
w=df["w"],
sizemode="raw",
sizeref=0.1,
colorscale="Portland",
cmin=0,
cmax=80,
hoverinfo="u+v+w+text",
text="-> wind <-",
),
layout=dict(
width=900, height=600, scene=dict(camera=dict(eye=dict(x=1.2, y=0, z=0.6)))
),
)

fig.show()