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Mapbox Density Heatmap in Python

How to make a Mapbox Density Heatmap in Python with Plotly.

If you're using Dash Enterprise's Data Science Workspaces, you can copy/paste any of these cells into a Workspace Jupyter notebook.
Alternatively, download this entire tutorial as a Jupyter notebook and import it into your Workspace.
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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.

Mapbox Access Token

To plot on Mapbox maps with Plotly you may need a Mapbox account and a public Mapbox Access Token. See our Mapbox Map Layers documentation for more information.

Stamen Terrain base map (no token needed): density mapbox with

Plotly Express is the easy-to-use, high-level interface to Plotly, which operates on a variety of types of data and produces easy-to-style figures.

With px.density_mapbox, each row of the DataFrame is represented as a point smoothed with a given radius of influence.

In [1]:
import pandas as pd
df = pd.read_csv('')

import as px
fig = px.density_mapbox(df, lat='Latitude', lon='Longitude', z='Magnitude', radius=10,
                        center=dict(lat=0, lon=180), zoom=0,

Stamen Terrain base map (no token needed): density mapbox with plotly.graph_objects

If Plotly Express does not provide a good starting point, it is also possible to use the more generic go.Densitymapbox class from plotly.graph_objects.

In [2]:
import pandas as pd
quakes = pd.read_csv('')

import plotly.graph_objects as go
fig = go.Figure(go.Densitymapbox(lat=quakes.Latitude, lon=quakes.Longitude, z=quakes.Magnitude,
fig.update_layout(mapbox_style="stamen-terrain", mapbox_center_lon=180)