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dfviewer

dfviewer

mxu

|
1,308 installs
| (0) | Free
viewing pandas dataframe in grid
Installation
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter.
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More Info

DF Viewer

A VS Code extension for inspecting pandas DataFrames in an interactive grid during Python debugging sessions. Powered by Tabulator.

Features

  • Interactive grid viewer — View DataFrame contents in a sortable, filterable Tabulator table directly inside VS Code.
  • Range selection — Select cells by click-and-drag, then copy with Ctrl+C. Column and row range selection supported.
  • Copy All — Click the Copy All button to copy all visible rows (with headers) as TSV to the clipboard.
  • Command Palette — Open the viewer via Ctrl+Shift+P → Show DF Viewer, then type any variable name or expression to inspect.
  • Context menu integration — Right-click a variable in the Debug → Variables pane and select Inspect in DF Viewer to view it instantly.
  • Theme aware — Automatically switches between light and dark Tabulator themes to match your VS Code theme.
  • Live debug session awareness — The viewer automatically detects when execution is paused so you can inspect the current state of your data.

Usage

Show DF Viewer

  1. Start a Python debug session.
  2. Press Ctrl+Shift+P and run Show DF Viewer.
  3. Enter a variable name or pandas expression in the input box and click Inspect to display the result in the grid.

Inspect from Debug Variables

  1. While stopped at a breakpoint, expand the Variables section in the Debug sidebar.
  2. Right-click a DataFrame variable and select Inspect in DF Viewer.

Requirements

  • Python 3 with the debugpy debugger.

Extension Commands

Command Description
Show DF Viewer Open the DataFrame grid viewer panel
Inspect in DF Viewer Inspect the selected debug variable in the grid viewer
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