NumPy array metadata (shape, dtype, ndim)

Type: Feature Request

Hello VS Code team,

Feature request: please add an option to show NumPy array metadata (shape, dtype, ndim) directly in the Variables/Locals view when debugging Python. Current workarounds (Data Viewer, Watch, Debug Console) are helpful but a compact shape/dtype column would greatly speed up debugging numeric code.

Use case:

• Quickly inspect array shapes/dtypes (e.g., frame.shape, frame.dtype) while paused at breakpoints without opening the Data Viewer or adding watches.
• Helpful for image-processing / ML workflows where many arrays are inspected frequently.

Suggested design:

• Add optional compact badges or columns in Variables: name | type | shape | dtype | value-preview.
• Or provide a toggle Python: Show Array Shape/DType in Variables.

Repro steps:

1. Open a Python file using NumPy arrays.
2. Start debugger and pause on a line where arrays exist.
3. Observe Variables view — shape/dtype not visible by default.

Environment:

• VS Code version: 1.109.4
• Python extension: 2026.2.0
• OS: linux

Thanks for considering.

Regards,
Uri ZACKHEM urizackhem@gmail.com

VS Code version: Code 1.109.4 (c3a26841a84f20dfe0850d0a5a9bd01da4f003ea, 2026-02-16T15:35:57.932Z)
OS version: Linux x64 6.17.0-14-generic snap
Modes:

Beginne damit, den Einstiegspunkt für die Darstellung von Variables/Locals in der TypeScript-Debuggererweiterung zu finden, und prüfe, wie angehaltene Python-Werte dargestellt werden. Ermittle, wo NumPy shape, dtype und ndim angezeigt werden könnten und wie eine optionale Anzeige funktionieren sollte; als erledigt gilt die Aufgabe, wenn die angeforderten Metadaten im angehaltenen Zustand sichtbar sind, ohne dass Data Viewer oder Watches erforderlich sind.