CODEWITHSUNDEEP
pythonhtmlplotly
paas_shill
paas_shill

Reputation: 185

Getting <script> and <div> tags from Plotly using Python

I was wondering if anyone knew a good way (preferably a built in method, but I'm open to writing my own of course) to get the <script> and <div> tags from the HTML output of the Plotly offline client.

I'm already familiar with bokeh and really enjoy using it for 2D visualization, but would really like to integrate Plotly as well for its 3D visualization capabilities.

Let me know if you need any extra details about the project.

Upvotes: 11

Views: 13141

Answers (3)

jackberry
jackberry

Reputation: 806

With Plotly 4, use plotly.io.to_html:

import plotly

# Returns a `<div>` and `<script>`
plotly.io.to_html(figure, include_plotlyjs=False, full_html=False)

# Returns a full standalone HTML
plotly.io.to_html(figure)

Reference: https://plotly.com/python-api-reference/generated/plotly.io.to_html.html

Upvotes: 8

Ryan Collingwood
Ryan Collingwood

Reputation: 402

Apologies for the necro-answer really wanted to add a comment to Fermin Silva left behind (https://stackoverflow.com/a/38033016/2805700) - but long standing lurker reputation prevents me.

Anyhow I had a similar need and encoutered an issue with plotly 2.2.2

plotly.offline.plot(data, include_plotlyjs=False, output_type='div')

The include_plotlyjs parameter was being ignored when outputting to a div. Based on the comments above, I found a workaround. Basically let plotly plot to file, which does respect the include_plotlyjs parameter. Load into beautiful soup and inject the link to the latest plotly.js on the cdn.

import plotly
import bs4

# return as html fragment
# the include_plotlyjs argument seems to be 
# ignored as it's included regardless when outputting to div
# found an open issue on here - https://github.com/plotly/plotly.py/issues/1043
plotly.offline.plot(
    plot_output, 
    filename = filename,
    config = plot_config,
    include_plotlyjs = False,
    auto_open = False,
)

# load the file
with open(filename) as inf:
    txt = inf.read()
    soup = bs4.BeautifulSoup(txt)

# add in the latest plot-ly js as per https://stackoverflow.com/a/38033016/2805700
js_src = soup.new_tag("script", src="https://cdn.plot.ly/plotly-latest.min.js")
# insert it into the document
soup.head.insert(0, js_src)

# save the file again
with open(filename, "w") as outf:
    outf.write(str(soup))

Cheers

Upvotes: 2

Fermin Silva
Fermin Silva

Reputation: 3377

If you call:

plotly.offline.plot(data, filename='file.html')

It creates a file named file.html and opens it up in your web browser. However, if you do:

plotly.offline.plot(data, include_plotlyjs=False, output_type='div')

the call will return a string with only the div required to create the chart, which you can store in whatever variable you desire (and not to disk).

I just tried it and it returned, for a given chart that I was doing:

<div id="82072c0d-ba8d-4e86-b000-0892be065ca8" style="height: 100%; width: 100%;" class="plotly-graph-div"></div>
<script type="text/javascript">window.PLOTLYENV=window.PLOTLYENV || {};window.PLOTLYENV.BASE_URL="https://plot.ly";Plotly.newPlot("82072c0d-ba8d-4e86-b000-0892be065ca8", 
[{"y": ..bunch of data..., "x": ..lots of data.., {"showlegend": true, "title": "the title", "xaxis": {"zeroline": true, "showline": true}, 
"yaxis": {"zeroline": true, "showline": true, "range": [0, 22.63852380952382]}}, {"linkText": "Export to plot.ly", "showLink": true})</script>

Notice how its just a tiny portion of an html that you are supposed to embed in a bigger page. For that I use a standard template engine like Jinga2.

With this you can create one html page with several charts arranged the way you want, and even return it as a server response to an ajax call, pretty sweet.

Update:

Remember that you'll need to include the plotly js file for all these charts to work.

You could include <script src="https://cdn.plot.ly/plotly-latest.min.js"></script> just before putting the div you got. If you put this js at the bottom of the page, the charts won't work.

Upvotes: 22

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