In [10]:

import altair as alt
from vega_datasets import data

In [11]:

iris = data.iris()

chart = alt.Chart(iris).mark_point().encode(
    x='petalLength',
    y='petalWidth',
    color='species'
)

In [9]:

chart.display()

In [13]:

chart.save('output/example_chart.html')

The following requires the selenium Python package and the chromedriver executable to be installed.

In [14]:

chart.save('output/example_chart.svg')

In [15]:

chart.serve()

Note: if you're in the Jupyter notebook, Chart.serve() is not the best
      way to view plots. Consider using Chart.display().
You must interrupt the kernel to cancel this command.

Serving to http://127.0.0.1:8891/    [Ctrl-C to exit]

127.0.0.1 - - [23/Oct/2019 22:24:24] "GET / HTTP/1.1" 200 -

stopping Server...

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