Export of static images

Bokeh supports the export of PNG and SVG.

PNG export

Bokeh supports the export of a plot or layout to the PNG image format using the export_png function. This function contains a Bokeh object to be exported and a file name in which the PNG output is to be written. The bokeh object transferred to export_png is often a single representation, but this does not have to be the case. When a layout is exported, the entire layout is saved in a PNG image.

$ spack env activate python-38
$ spack install py-selenium@3.141.0%gcc@11.2.0
$ py-pillow@8.0.0%gcc@11.2.0~freetype~imagequant+jpeg~jpeg2000~lcms~tiff~webp~webpmux~xcb+zlib

After installing Selenium, you need to download and install the geckodriver binary. Make sure that geckodriver is available in PATH. You can find more information in the geckodriver documentation. Finally, Firefox must also be available on your system.

import pandas as pd

from bokeh.plotting import figure
from bokeh.sampledata.stocks import AAPL


df = pd.DataFrame(AAPL)
df["date"] = pd.to_datetime(df["date"])

from bokeh.io import export_png


p = figure(width=800, height=250, x_axis_type="datetime")
p.line(df["date"], df["close"], color="navy", alpha=0.5)

export_png(p, filename="plot.png")

'/Users/veit/cusy/trn/pyviz-tutorial/docs/bokeh/embedding-export/plot.png'

SVG export

Bokeh can also generate SVG output in the browser instead of rendering HTML canvas elements. This is achieved by setting output_backend = "svg" for a figure. The SVG can then be embedded either in HTML files with output_file or in content created with components. Alternatively, .svg files can also be created with export_svgs. Please note that an SVG file is created for each HTML canvas element; however, it is not possible to create complete layouts or widgets in an SVG file.

from bokeh.io import export_svgs


p = figure(width=800, height=250, x_axis_type="datetime", output_backend="svg")
p.line(df["date"], df["close"], color="navy", alpha=0.5)

export_svgs(p, filename="plot.svg")

['plot.svg']

from IPython.display import SVG


SVG("plot.svg")