How to use Neptune with Altair#
Altair is a declarative statistical visualization library for Python. With Neptune, you can log and display Altair charts as interactive HTML.
Before you start#
To follow the guide without any setup, run the Colab example.
- Sign up at neptune.ai/register.
- Create a project for storing your metadata.
Have Altair and Neptune installed:
neptune-client already installed
Important: To smoothly upgrade to the
1.0 version of the Neptune client library, first uninstall the
neptune-client library and then install
Altair logging example#
Import Neptune and start a run:
If you haven't set up your credentials, you can log anonymously:
Install vega-datasets to access sample data:
Create a sample figure using data from
import altair as alt from vega_datasets import data source = data.cars() brush = alt.selection(type="interval") points = ( alt.Chart(source) .mark_point() .encode( x="Horsepower:Q", y="Miles_per_Gallon:Q", color=alt.condition(brush, "Origin:N", alt.value("lightgray")), ) .add_selection(brush) ) bars = ( alt.Chart(source) .mark_bar() .encode(y="Origin:N", color="Origin:N", x="count(Origin):Q") .transform_filter(brush) ) chart = points & bars
Upload the chart:
To stop the connection to Neptune and sync all data, call the
Run your script as you normally would.
To open the run, click the Neptune link that appears in the console output.
The resulting chart is logged as an HTML object.
You can view it in the All metadata section.