Download [2021] — Plotly Graph As Html

import plotly.express as px # Create a sample graph df = px.data.iris() fig = px.scatter(df, x="sepal_width", y="sepal_length", color="species") # Save the graph as an HTML file fig.write_html("my_interactive_graph.html") Use code with caution.

: If you only want the and tags (useful for embedding into an existing webpage or a Django/Flask template), set this to False . Example of an embedded-ready export: download plotly graph as html

Exporting Plotly graphs as HTML is the best way to maintain the "magic" of your data visualizations. Whether you need a standalone file for a presentation or a lightweight snippet for a web dashboard, fig.write_html() is the only command you truly need to master. import plotly

If you are viewing a Plotly graph in a Jupyter Notebook or a browser and want to save it immediately without writing more code: Hover over the top-right corner of the chart. Click the ("Download plot as a png"). Whether you need a standalone file for a

: Automatically opens the HTML file in your default web browser after saving.

The most straightforward way to save a figure is using the write_html() method. This is built directly into the Plotly Figure object.

Plotly is one of the most powerful libraries for data visualization because its charts aren't just static images—they are interactive experiences. However, the real value comes when you can share those experiences.