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18 changes: 16 additions & 2 deletions doc/python/interactive-html-export.md
Original file line number Diff line number Diff line change
Expand Up @@ -57,7 +57,7 @@ By default, the resulting HTML file is a fully self-contained HTML file which ca

### Inserting Plotly Output into HTML using a Jinja2 Template

You can insert Plotly output and text related to your data into HTML templates using Jinja2. Use `.to_html` to send the HTML to a Python string variable rather than using `write_html` to send the HTML to a disk file. Use the `full_html=False` option to output just the code necessary to add a figure to a template. We don't want to output a full HTML page, as the template will define the rest of the page's structure — for example, the page's `HTML` and `BODY` tags. First create an HTML template file containing a Jinja `{{ variable }}`. In this example, we customize the HTML in the template file by replacing the Jinja variable `{{ fig }}` with our graphic `fig`.
You can insert Plotly output and text related to your data into HTML templates using Jinja2. Use `.to_html` to send the HTML to a Python string variable rather than using `write_html` to send the HTML to a disk file. Use the `full_html=False` option to output just the code necessary to add a figure to a template. We do not want to output a full HTML page, as the Jinja template will define the rest of the page's structure — for example, the page's `HTML` and `BODY` tags. First create an HTML template file containing a Jinja variable, `{{ fig }}`. We use Python to generate HTML that is the template file with the Jinja variable `{{ fig }}` replaced with our graphic `fig`. The Python shows the steps to specify the height of the graphic as a percentage of the height of the browser window and provides a much simpler option if you are comfortable with a fixed height figure.

<!-- #region -->

Expand Down Expand Up @@ -90,7 +90,21 @@ fig = px.bar(data_canada, x='year', y='pop')
output_html_path=r"/path/to/output.html"
input_template_path = r"/path/to/template.html"

plotly_jinja_data = {"fig":fig.to_html(full_html=False)}
# code block to set the vertical height as a percentage of the window height
# if you are comfortable with a fixed height graph, substitute
# plotly_jinja_data = {"fig":fig.to_html(full_html=False)}
# for all the code up to the end of the responsive Plotly figure HTML Jinja dictionary population block

# we defer to the HTML and window size for the height by setting autosize to True, height to None and responsive to True
fig.update_layout(autosize=True, height=None, )
fig_html = fig.to_html(full_html=False, config=dict(responsive=True))
#consider also defining the include_plotlyjs parameter to point to an external Plotly.js as described above

vertical_height_as_pct_window = 80
fig_html_with_vertical_height = f'<div style="height: {vertical_height_as_pct_window}vh;">'+fig_html.replace("<div>","", 1)
plotly_jinja_data = {"fig":fig_html_with_vertical_height}
# end of responsive Plotly figure HTML Jinja dictionary population block

#consider also defining the include_plotlyjs parameter to point to an external Plotly.js as described above

with open(output_html_path, "w", encoding="utf-8") as output_file:
Expand Down