3D Subplots in Python

3D Subplots in Plotly

Plotly Studio: Transform any dataset into an interactive data application in minutes with AI. Try Plotly Studio now.

3D Surface Subplots¶

In [1]:

import plotly.graph_objects as go from plotly.subplots import make_subplots import numpy as np # Initialize figure with 4 3D subplots fig = make_subplots( rows=2, cols=2, specs=[[{'type': 'surface'}, {'type': 'surface'}], [{'type': 'surface'}, {'type': 'surface'}]]) # Generate data x = np.linspace(-5, 80, 10) y = np.linspace(-5, 60, 10) xGrid, yGrid = np.meshgrid(y, x) z = xGrid ** 3 + yGrid ** 3 # adding surfaces to subplots. fig.add_trace( go.Surface(x=x, y=y, z=z, colorscale='Viridis', showscale=False), row=1, col=1) fig.add_trace( go.Surface(x=x, y=y, z=z, colorscale='RdBu', showscale=False), row=1, col=2) fig.add_trace( go.Surface(x=x, y=y, z=z, colorscale='YlOrRd', showscale=False), row=2, col=1) fig.add_trace( go.Surface(x=x, y=y, z=z, colorscale='YlGnBu', showscale=False), row=2, col=2) fig.update_layout( title_text='3D subplots with different colorscales', height=800, width=800 ) fig.show()

Reference¶

See https://plotly.com/python/subplots/ for more information regarding subplots!

What About Dash?¶

Dash is an open-source framework for building analytical applications, with no Javascript required, and it is tightly integrated with the Plotly graphing library.

Learn about how to install Dash at https://dash.plot.ly/installation.

Everywhere in this page that you see fig.show(), you can display the same figure in a Dash application by passing it to the figure argument of the Graph component from the built-in dash_core_components package like this:

import plotly.graph_objects as go # or plotly.express as px fig = go.Figure() # or any Plotly Express function e.g. px.bar(...) # fig.add_trace( ... ) # fig.update_layout( ... ) from dash import Dash, dcc, html app = Dash() app.layout = html.Div([ dcc.Graph(figure=fig) ]) app.run(debug=True, use_reloader=False) # Turn off reloader if inside Jupyter