Plotly is a Python library that is used to design graphs, especially interactive graphs. It can plot various graphs and charts like histogram, barplot, boxplot, spreadplot, and many more. It is mainly used in data analysis as well as financial analysis. plotly is an interactive visualization library.
3D Cone Plot in Plotly
In plotly, a cone plot is a plot that has 3d equivalent of a 2D quiver plot. A 3d vector represents the direction and norm of the vectors.
- 3d coordinates are X, Y, and Z which define the coordinates for a vector.
- 3d coordinates of a vector field are U, V, and W which is defined as the vector field.
Syntax: plotly.graph_objects.Cone(arg=None, anchor=None, autocolorscale=None, cauto=None, cmax=None, cmid=None, cmin=None, coloraxis=None, colorbar=None, colorscale=None, customdata=None, customdatasrc=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, legendgroup=None, lighting=None, lightposition=None, meta=None, metasrc=None, name=None, opacity=None, reversescale=None, scene=None, showlegend=None, showscale=None, sizemode=None, sizeref=None, stream=None, text=None, textsrc=None, u=None, uid=None, uirevision=None, usrc=None, v=None, visible=None, vsrc=None, w=None, wsrc=None, x=None, xsrc=None, y=None, ysrc=None, z=None, zsrc=None, **kwargs)
Parameters:
u – Sets the x components of the vector field.
v – Sets the y components of the vector field.
w – Sets the z components of the vector field.
x – Sets the x coordinates of the vector field and of the displayed cones.
y – Sets the y coordinates of the vector field and of the displayed cones.
z – Sets the z coordinates of the vector field and of the displayed cones.
Example:
Python3
import plotly.graph_objects as go fig = go.Figure(data=go.Cone(x=[3], y=[1], z=[4], u=[1], v=[7], w=[2])) fig.show() |
Output:
Plotting Multiple 3D Cones
In plotly, the multiple 3d cones use the parameter scene, in this the graph show many cones in a single graph that help to differentiate between each other. It can be created by passing multiple values in the x, y, z, u, v, w parameters.
Example 1:
Python3
import plotly.graph_objects as go fig = go.Figure(data=go.Cone(x=[1,3], y=[1,3], z=[1,4], u=[1,6], v=[1,7], w=[0,2])) fig.show() |
Output:
Example 2:
Python3
import plotly.graph_objects as go fig = go.Figure(data=go.Cone(x=[11,31, 12], y=[12,32, 21], z=[13,41, 15], u=[14,16, 17], v=[15,27, 10], w=[10,29, 21])) fig.show() |
Output:
