conda install selenium geckodriver -c conda-forge
In order for geckodriver to work, you also need to have Firefox
available on your system. See Supported platforms in the geckodriver
documentation to make sure your version of Firefox is compatible.
You can also install Firefox from conda-forge:
conda install firefox -c conda-forge
Installing Firefox with conda is helpful to make sure that you are
running compatible versions of geckodriver and Firefox.
Selenium and ChromeDriver (Chrome):

conda install selenium python-chromedriver-binary -c conda-forge
After downloading and installing with conda, make sure that the
executable chromedriver (chromedriver.exe on Windows) is
available in your PATH. See the chromedriver-binary documentation for
more information.
ChromeDriver requires a compatible version of Google Chrome or Chromium
to be available on your system. See the ChromeDriver documentation
for details about which version of ChromeDriver works with which
version of Chrome or Chromium.
After installing Selenium, you need to download and install the
geckodriver binary from the geckodriver repository on GitHub. Make
sure that geckodriver is available in your PATH. See the
geckodriver documentation for more information.
In order for geckodriver to work, you also need to have Firefox
available on your system. See Supported platforms in the geckodriver
documentation to make sure your version of Firefox is compatible.
Selenium and ChromeDriver (Chrome):

pip install selenium chromedriver-binary
After downloading and installing with pip, make sure that the
executable chromedriver (chromedriver.exe on Windows) is
available in your PATH. See the chromedriver-binary documentation for
more information.
ChromeDriver requires a compatible version of Google Chrome or Chromium
to be available on your system. See the ChromeDriver documentation
for details about which version of ChromeDriver works with which
version of Chrome or Chromium.
Exporting PNG images#
Bokeh can generate RGBA-format Portable Network Graphics (PNG) images from
layouts using the export_png() function. This functionality renders the
layout in memory and then captures a screenshot. The output image will
have the same dimensions as the source layout.
To create a PNG with a transparent background set the
Plot.background_fill_color and Plot.border_fill_color properties to
None.
plot.background_fill_color = None
plot.border_fill_color = None
Sizing variability#
Responsive sizing modes may generate layouts of unexpected size and aspect
ratio. For reliable results, use the default fixed sizing mode.
Example usage#
Usage is similar to the save() and show() functions.
from bokeh.io import export_png
export_png(plot, filename="plot.png")
Image objects#
To access an image object through code without saving to a file, use the
lower-level function get_screenshot_as_png().
from bokeh.io.export import get_screenshot_as_png
image = get_screenshot_as_png(obj, height=height, width=width, driver=webdriver)
Exporting SVG images#
Bokeh can also replace the HTML5 Canvas plot output with a Scalable Vector
Graphics (SVG) element that can be edited in image editing programs such
as Adobe Illustrator and/or converted to PDF.
The SVG output isn’t as performant as the default Canvas backend when it comes
to rendering a large number of glyphs or handling lots of user interactions such
as panning.
To activate the SVG backend, set the Plot.output_backend attribute to
"svg".
# option one
plot = Plot(output_backend="svg")
# option two
plot.output_backend = "svg"
To create an SVG with a transparent background, set the
Plot.background_fill_color and Plot.border_fill_color
properties to None, same as for PNG exports.
You can export an SVG plot in several ways:
With code:
Use the export_svg() utility function that lets you
save a plot or a layout of plots as a single SVG file.
from bokeh.io import export_svg
export_svg(plot, filename="plot.svg")
Use the export_svgs() utility function that lets you
export a layout of plots as a set of independent SVG
files.
from bokeh.io import export_svgs
export_svgs(plot, filename="plot.svg")
Use the SVG-Crowbar bookmarklet that adds a prompt to
download each plot as an SVG file. This tool is fully
compatible with Chrome and should work with Firefox in
most cases.
Use the SaveTool from the toolbar but note that the
exported files will have a blank area where the toolbar
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