plotly.io .to_html¶
plotly.io. to_html ( fig , config = None , auto_play = True , include_plotlyjs = True , include_mathjax = False , post_script = None , full_html = True , animation_opts = None , default_width = ‘100%’ , default_height = ‘100%’ , validate = True , div_id = None ) ¶
Convert a figure to an HTML string representation.
- fig – Figure object or dict representing a figure
- config (dictorNone(default None)) – Plotly.js figure config options
- auto_play (bool(default=True)) – Whether to automatically start the animation sequence on page load if the figure contains frames. Has no effect if the figure does not contain frames.
- include_plotlyjs (boolorstring(default True)) – Specifies how the plotly.js library is included/loaded in the output div string. If True, a script tag containing the plotly.js source code (~3MB) is included in the output. HTML files generated with this option are fully self-contained and can be used offline. If ‘cdn’, a script tag that references the plotly.js CDN is included in the output. The url used is versioned to match the bundled plotly.js. HTML files generated with this option are about 3MB smaller than those generated with include_plotlyjs=True, but they require an active internet connection in order to load the plotly.js library. If ‘directory’, a script tag is included that references an external plotly.min.js bundle that is assumed to reside in the same directory as the HTML file. If ‘require’, Plotly.js is loaded using require.js. This option assumes that require.js is globally available and that it has been globally configured to know how to find Plotly.js as ‘plotly’. This option is not advised when full_html=True as it will result in a non-functional html file. If a string that ends in ‘.js’, a script tag is included that references the specified path. This approach can be used to point the resulting HTML file to an alternative CDN or local bundle. If False, no script tag referencing plotly.js is included. This is useful when the resulting div string will be placed inside an HTML document that already loads plotly.js. This option is not advised when full_html=True as it will result in a non-functional html file.
- include_mathjax (boolorstring(default False)) – Specifies how the MathJax.js library is included in the output html div string. MathJax is required in order to display labels with LaTeX typesetting. If False, no script tag referencing MathJax.js will be included in the output. If ‘cdn’, a script tag that references a MathJax CDN location will be included in the output. HTML div strings generated with this option will be able to display LaTeX typesetting as long as internet access is available. If a string that ends in ‘.js’, a script tag is included that references the specified path. This approach can be used to point the resulting HTML div string to an alternative CDN.
- post_script (strorlistorNone(default None)) – JavaScript snippet(s) to be included in the resulting div just after plot creation. The string(s) may include ‘’ placeholders that will then be replaced by the id of the div element that the plotly.js figure is associated with. One application for this script is to install custom plotly.js event handlers.
- full_html (bool(default True)) – If True, produce a string containing a complete HTML document starting with an tag. If False, produce a string containing a single element.
- animation_opts (dictorNone(default None)) – dict of custom animation parameters to be passed to the function Plotly.animate in Plotly.js. See https://github.com/plotly/plotly.js/blob/master/src/plots/animation_attributes.js for available options. Has no effect if the figure does not contain frames, or auto_play is False.
- default_width (numberorstr(default ‘100%’)) – The default figure width/height to use if the provided figure does not specify its own layout.width/layout.height property. May be specified in pixels as an integer (e.g. 500), or as a css width style string (e.g. ‘500px’, ‘100%’).
- default_height (numberorstr(default ‘100%’)) – The default figure width/height to use if the provided figure does not specify its own layout.width/layout.height property. May be specified in pixels as an integer (e.g. 500), or as a css width style string (e.g. ‘500px’, ‘100%’).
- validate (bool(default True)) – True if the figure should be validated before being converted to JSON, False otherwise.
- div_id (str(default None)) – If provided, this is the value of the id attribute of the div tag. If None, the id attribute is a UUID.
Representation of figure as an HTML div string
Interactive HTML Export in Python
Plotly allows you to save interactive HTML versions of your figures to your local disk.
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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.
Interactive vs Static Export¶
Plotly figures are interactive when viewed in a web browser: you can hover over data points, pan and zoom axes, and show and hide traces by clicking or double-clicking on the legend. You can export figures either to static image file formats like PNG, JPEG, SVG or PDF or you can export them to HTML files which can be opened in a browser. This page explains how to do the latter.
Saving to an HTML file¶
Any figure can be saved as an HTML file using the write_html method. These HTML files can be opened in any web browser to access the fully interactive figure.
import plotly.express as px fig = px.scatter(x=range(10), y=range(10)) fig.write_html("path/to/file.html")
Controlling the size of the HTML file¶
By default, the resulting HTML file is a fully self-contained HTML file which can be uploaded to a web server or shared via email or other file-sharing mechanisms. The downside to this approach is that the file is very large (5Mb+) because it contains an inlined copy of the Plotly.js library required to make the figure interactive. This can be controlled via the include_plotlyjs argument (see below).
HTML export in Dash¶
Dash is the best way to build analytical apps in Python using Plotly figures. To run the app below, run pip install dash , click «Download» to get the code and run python app.py .
Get started with the official Dash docs and learn how to effortlessly style & deploy apps like this with Dash Enterprise.
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Full Parameter Documentation¶
import plotly.graph_objects as go help(go.Figure.write_html)
Help on function write_html in module plotly.basedatatypes: write_html(self, *args, **kwargs) Write a figure to an HTML file representation Parameters ---------- file: str or writeable A string representing a local file path or a writeable object (e.g. a pathlib.Path object or an open file descriptor) config: dict or None (default None) Plotly.js figure config options auto_play: bool (default=True) Whether to automatically start the animation sequence on page load if the figure contains frames. Has no effect if the figure does not contain frames. include_plotlyjs: bool or string (default True) Specifies how the plotly.js library is included/loaded in the output div string. If True, a script tag containing the plotly.js source code (~3MB) is included in the output. HTML files generated with this option are fully self-contained and can be used offline. If 'cdn', a script tag that references the plotly.js CDN is included in the output. HTML files generated with this option are about 3MB smaller than those generated with include_plotlyjs=True, but they require an active internet connection in order to load the plotly.js library. If 'directory', a script tag is included that references an external plotly.min.js bundle that is assumed to reside in the same directory as the HTML file. If `file` is a string to a local file path and `full_html` is True then If 'directory', a script tag is included that references an external plotly.min.js bundle that is assumed to reside in the same directory as the HTML file. If `file` is a string to a local file path and `full_html` is True, then the plotly.min.js bundle is copied into the directory of the resulting HTML file. If a file named plotly.min.js already exists in the output directory then this file is left unmodified and no copy is performed. HTML files generated with this option can be used offline, but they require a copy of the plotly.min.js bundle in the same directory. This option is useful when many figures will be saved as HTML files in the same directory because the plotly.js source code will be included only once per output directory, rather than once per output file. If 'require', Plotly.js is loaded using require.js. This option assumes that require.js is globally available and that it has been globally configured to know how to find Plotly.js as 'plotly'. This option is not advised when full_html=True as it will result in a non-functional html file. If a string that ends in '.js', a script tag is included that references the specified path. This approach can be used to point the resulting HTML file to an alternative CDN or local bundle. If False, no script tag referencing plotly.js is included. This is useful when the resulting div string will be placed inside an HTML document that already loads plotly.js. This option is not advised when full_html=True as it will result in a non-functional html file. include_mathjax: bool or string (default False) Specifies how the MathJax.js library is included in the output html div string. MathJax is required in order to display labels with LaTeX typesetting. If False, no script tag referencing MathJax.js will be included in the output. If 'cdn', a script tag that references a MathJax CDN location will be included in the output. HTML div strings generated with this option will be able to display LaTeX typesetting as long as internet access is available. If a string that ends in '.js', a script tag is included that references the specified path. This approach can be used to point the resulting HTML div string to an alternative CDN. post_script: str or list or None (default None) JavaScript snippet(s) to be included in the resulting div just after plot creation. The string(s) may include '' placeholders that will then be replaced by the `id` of the div element that the plotly.js figure is associated with. One application for this script is to install custom plotly.js event handlers. full_html: bool (default True) If True, produce a string containing a complete HTML document starting with an tag. If False, produce a string containing a single element. animation_opts: dict or None (default None) dict of custom animation parameters to be passed to the function Plotly.animate in Plotly.js. See https://github.com/plotly/plotly.js/blob/master/src/plots/animation_attributes.js for available options. Has no effect if the figure does not contain frames, or auto_play is False. default_width, default_height: number or str (default '100%') The default figure width/height to use if the provided figure does not specify its own layout.width/layout.height property. May be specified in pixels as an integer (e.g. 500), or as a css width style string (e.g. '500px', '100%'). validate: bool (default True) True if the figure should be validated before being converted to JSON, False otherwise. auto_open: bool (default True) If True, open the saved file in a web browser after saving. This argument only applies if `full_html` is True. div_id: str (default None) If provided, this is the value of the id attribute of the div tag. If None, the id attribute is a UUID. Returns ------- str Representation of figure as an HTML div string
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.
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( . ) import dash import dash_core_components as dcc import dash_html_components as html app = dash.Dash() app.layout = html.Div([ dcc.Graph(figure=fig) ]) app.run_server(debug=True, use_reloader=False) # Turn off reloader if inside Jupyter