DataFrame Viewer

View tabular Jupyter variables and data files.

Main Features

• View data in a tabular grid with sticky index and column headers.
• Sort with multiple keys.
• Look at missing value ratios and the distribution plots (histogram or stacked bar).
• Filter using Pandas' query syntax.
• Quick filter data by clicking in the plots.
• Colorize cells and graphs.

Usage

View Data

Load Jupyter variables, when executing a Jupyter notebook or a Python script with the interactive window. You need to grant kernel access once.

View variables in debug mode and open files. Note: Data types are not inferred from CSV or TSV files.

Sort

Stable sort with multiple keys (last has priority).

Stats

Missing value ratios and distribution plots.

Filter

Filter data using Pandas' query syntax. Add filter expressions by clicking into the plots. Multiple filters are appended with Operator &.

Colorize

Colorize cells and histograms with columnwise or global vmin/vmax for numeric columns, optionally symmetrically centered around 0.

Requirements

This extension requires:

• Python with
  • Pandas
  • NumPy
  • Matplotlib (for colorize feature)
  • PyArrow (for *.parquet, *.feather import)
• VS Code extensions
  • Python
  • Jupyter

License

MIT