Scatter plots

Create and customize scatter plots in W&B to compare runs and visualize relationships between experiment metrics.

This page shows how to use scatter plots in W&B.

Use case

Use scatter plots to compare multiple runs and visualize the performance of an experiment:

• Plot lines for minimum, maximum, and average values.
• Customize metadata tooltips.
• Control point colors.
• Adjust axis ranges.
• Use a log scale for the axes.
• Configure how the frontier line and related points are labeled and emphasized. See Frontier line display options.

Example

The following example shows a scatter plot displaying validation accuracy for different models over several weeks of experimentation. The tooltip includes batch size, dropout, and axis values. A line also shows the running average of validation accuracy.

See a live example →

Create a scatter plot

To create a scatter plot in the W&B UI:

1. Navigate to the Workspaces tab.
2. In the Charts panel, click the action () menu.
3. From the pop-up menu, select Add panels.
4. In the Add panels menu, select Scatter plot.
5. Set the x and y axes to plot the data you want to view. Optionally, set maximum and minimum ranges for your axes or add a z axis.
6. Click Apply to create the scatter plot.
7. View the new scatter plot in the Charts panel.

Frontier line display options

The frontier line on a scatter plot is a line that connects the highest and lowest y-axis values seen so far for the data in the plot. You can tune how that line and the surrounding points appear from the plot settings.

To configure frontier line display options:

1. Hover over the scatter plot panel, then click the gear icon to open the panel settings drawer.
2. Select the Annotations tab.
3. Set the desired options:
   • Show run labels: Toggle whether to show a label with the run name or group name.
   • Dim non-frontier points: Toggle whether to reduce the visual weight of points that are not on the frontier line so the frontier stands out.
4. Click Apply to save your changes.