How to use Neptune with Matplotlib#
Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. With Neptune, you can log and display Matplotlib charts as static images or interactive HTML.
Before you start#
- Sign up at neptune.ai/register.
- Create a project for storing your metadata.
Have Matplotlib 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
(Optional) To log static Matplotlib figures as interactive Plotly charts, install the plotly library:
Plotly is not compatible with newer Matplotlib versions (
3.5.0+) due to the fact that
mpl_to_plotly() uses deprecated Matplotlib functionalities.
Matplotlib logging example#
Import Neptune and start a run:
If you haven't set up your credentials, you can log anonymously:
Create a sample figure:
Log the figure to Neptune
As a static image:
(With Plotly installed) As an interactive Plotly chart:
Not all Matplotlib charts can be converted to interactive Plotly charts. If the conversion is not possible, Neptune falls back to logging the chart as an image.
To stop the connection to Neptune and sync all data, call the
To open the run, click the Neptune link in the console output.
The resulting figure is logged as an HTML object.
You can view it in the All metadata section.