Query panels overview

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Use query panels to query and interactively visualize your data. With a query panel, you can pull specific runs, artifacts, tables, and other W&B objects into a single view and explore them as tables or plots without leaving your workspace or report. This page is for users who want to compose ad hoc queries against logged W&B data and surface the results inside a workspace or report.

A query panel combines three pieces:

• Expression: The data you select.
• Configuration: Optional settings for the panel, such as the panel type and options from the gear menu.
• Result panel: How to show the results, such as in a table or plot.

For a set of interactive examples you can try, see a public Query panel examples report. For a guided walkthrough of query syntax, see the Query panel tutorial report. Generated types and ops are listed in the query expression language overview.

Create a query panel

Add a query panel so you have a surface to write expressions against and visualize the results. You can add one to a project workspace or within a report.

Project workspace

1. Navigate to your project’s workspace.
2. In the upper-right corner, click Add panel.
3. From the dropdown menu, select Query panel.

W&B Report

• Type and select /Query panel.

Alternatively, you can associate a query with a set of runs:

1. Within your report, type and select /Panel grid.
2. Click the Add panel button.
3. From the dropdown menu, select Query panel.

Query components

The following sections describe the three pieces that make up a query panel: the expression that selects data, the configuration that controls how the panel behaves, and the result panel that renders the output.

Expressions

Use query expressions to query your data stored in W&B such as runs, artifacts, models, tables, and more.

Example: Query a table

Suppose you want to query a W&B Table. In your training code, you log a table called "cifar10_sample_table":

import wandb
with wandb.init() as run:
  run.log({"cifar10_sample_table":[MY-TABLE]})

Within the query panel, you can query your table with:

runs.summary["cifar10_sample_table"]

Breaking this down:

• runs is a variable automatically injected in query panel expressions when the query panel is in a workspace. Its value is the list of runs visible for that workspace. For details about the different attributes available within a run, see Understanding the different attributes.
• summary is an op that returns the Summary object for a run. Ops are mapped, meaning this op is applied to each run in the list, resulting in a list of Summary objects.
• ["cifar10_sample_table"] is a Pick op (denoted with brackets) with a key of cifar10_sample_table. Because Summary objects act like dictionaries or maps, this operation picks that field from each Summary object.

Configurations

In the upper-left corner of the panel, click the gear icon to expand the query configuration. The configuration lets you set the type of panel and the parameters for the result panel.

Panel options

The configuration menu can include options that change how the panel combines or loads table-style results. Exact labels and availability depend on your expression and panel type. For concrete setups, see the Query panel examples report.

Concat

Use Concat in the configuration when you want the panel to merge compatible table-style results and treat them as a single table for viewing and downstream operations. Expression-level row merging (for example, concat and join in the query) is separate from this setting. For more information, see Combine tables in expressions.

Paginate

Use Paginate when a table result might be too large to render at once. Pagination loads rows in chunks so the panel stays responsive. Pair this option with expressions that return large row lists. For patterns that work well with pagination, see the Query panel examples report.

Result panels

The query result panel renders the result of the query expression, using the selected query panel, configured to display the data in an interactive form. The following images show a Table and a Plot of the same data.

Step through run history

In tables and plots built from runs or runs.history, the app can show a step control (for example, a slider) so you can move through logged steps and inspect metrics, text, or media over the course of your runs. After you change the expression, edit the query panel’s configuration and change Render As to Stepper. The control can follow a different metric instead of _step if it better matches how you logged data. For sample expressions, see the Query panel examples report.

Basic operations

After a query panel renders results, you can refine what you see by sorting, filtering, mapping, or grouping the rows. The following are common operations you can perform within your query panels.

Sort

Sort from the column options:

Filter

You can either filter directly in the query or use the filter button in the upper-left corner of the panel.

Map

Map operations iterate over lists and apply a function to each element in the data. You can do this directly with a panel query or by inserting a new column from the column options.

Group by

You can group by using a query or from the column options.

Combine tables in expressions

Use concat, join, and related ops in your expression when you need to stack or merge row lists from tables. See Join for a full example. The Concat and Paginate items in Panel options are separate controls for how the UI merges and loads table results.

Join

You can also join tables directly in the query. Consider the following query expression:

project("luis_team_test", "weave_example_queries").runs.summary["short_table_0"].table.rows.concat.join(\
project("luis_team_test", "weave_example_queries").runs.summary["short_table_1"].table.rows.concat,\
(row) => row["Label"],(row) => row["Label"], "Table1", "Table2",\
"false", "false")

The table on the left is generated from:

project("luis_team_test", "weave_example_queries").\
runs.summary["short_table_0"].table.rows.concat.join

The table on the right is generated from:

project("luis_team_test", "weave_example_queries").\
runs.summary["short_table_1"].table.rows.concat

Where:

• (row) => row["Label"] are selectors for each table, determining which column to join on.
• "Table1" and "Table2" are the names of each table when joined.
• true and false are for left and right inner/outer join settings.

Runs object

Use query panels to access the runs object. Run objects store records of your experiments. For more details, see Accessing runs object. As a quick overview, the runs object has the following available:

• summary: A dictionary of information that summarizes the run’s results. The summary can contain scalars like accuracy and loss, or large files. By default, wandb.Run.log() sets the summary to the final value of a logged time series. You can set the contents of the summary directly. Think of the summary as the run’s outputs.
• history: A list of dictionaries meant to store values that change while the model is training, such as loss. The command wandb.Run.log() appends to this object.
• config: A dictionary of the run’s configuration information, such as the hyperparameters for a training run or the preprocessing methods for a run that creates a dataset artifact. Think of these as the run’s inputs.

Access artifacts

Artifacts are a core concept in W&B. They are a versioned, named collection of files and directories. Use artifacts to track model weights, datasets, and any other file or directory. W&B stores artifacts, and you can download them or use them in other runs. For more details and examples, see Accessing artifacts. You normally access artifacts from the project object:

• project.artifactVersion(): Returns the specific artifact version for a given name and version within a project.
• project.artifact(""): Returns the artifact for a given name within a project. You can then use .versions to get a list of all versions of this artifact.
• project.artifactType(): Returns the artifactType for a given name within a project. You can then use .artifacts to get a list of all artifacts with this type.
• project.artifactTypes: Returns a list of all artifact types under the project.