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Plotly.py

Interactive data visualization library for Python

Maintained by Plotly

Documentation ↗Source ↗

Plotly.py provides comprehensive data visualization capabilities with built-in MapLibre GL JS integration for geographic plots. This Python library enables data scientists and analysts to create interactive charts, maps, and dashboards with open-source vector rendering in Jupyter notebooks and Python applications.

Plotly is Switching to MapLibre

Read on plotly.com ↗

Quick start

pip install plotly pandas
import plotly.express as px

df = px.data.carshare()
fig = px.scatter_map(
    df,
    lat="centroid_lat",
    lon="centroid_lon",
    color="peak_hour",
    size="car_hours",
    zoom=10,
    map_style="open-street-map",
)
fig.show()
›Setup noteschecked with v7.1.0

The MapLibre traces (px.scatter_map, go.Scattermap, and the other *_map traces) arrived in Plotly.py 5.24; version 7 removed the older Mapbox traces. fig.show() renders inline in Jupyter and opens a browser tab from a script. Keyless built-in styles include "open-street-map", "carto-positron", and "carto-darkmatter"; map_style also takes a style URL.

Other platforms are on SDKs.

Used by 1 product

Plotly Studio

AI-native app that turns raw data from CSV files and databases into interactive analytics apps and dashboards, as a desktop app or embedded in Dash apps.