csv-grid 3.3.0

Emit csv-viewer's CsvGrid interactive tables from pandas DataFrames (Jupyter / Quarto / static HTML).

csv_grid

Python emitter for CsvGrid, the embeddable interactive table of the csv-viewer project: render a pandas DataFrame as a sortable, filterable, type-aware grid in Jupyter, Quarto (.qmd), or any static HTML you generate.

The grid re-infers column types from the data exactly as the viewer app does (numbers right with greater_tables-style formatting, dates ISO and centered, fzf search, equal-risk column widths). NaN / None become blank cells.

Install

uv add csv-grid              # or: pip install csv-grid

or local path install from a clone of this repo:

uv add --editable path/to/csv-viewer/python

The grid's built JS/CSS assets ship inside the package (refreshed by the repo's npm run build).

Use

from csv_grid import show, to_html

show(df)                          # Jupyter / qmd cell: display the grid
show(df, align="llrcr", fmt=[None, None, ",d", "year", ",.2f"])

html = to_html(df, name="results.df", assets="inline")   # fragment string

• show(df, **options) displays via IPython. The JS + CSS assets are emitted once per kernel session (so once per rendered page); pass assets="inline" to force re-emission, or assets="https://…/base" to load them from a URL instead of inlining.
• to_html(df, **options) returns an HTML fragment. The first fragment on a page should carry the assets (assets="inline" — the default — or a base URL); pass assets=False for subsequent tables.
• payload(df) returns the {records, columns} dict the grid consumes, if you want to ship data yourself.
• Options mirror the JS API in snake_case: global_search, column_filters, sortable, status_bar, expand_buttons, align ('llrcr…'), formats/fmt (per-column [,][.N](f|d|%|e|s), 'year', 'eng', None = auto), width_mode ('equal-risk' default, or 'coverage' to maximize the count of fully-shown cells), rows (cap the viewport to ~N rows, vertical scroll for the rest) / max_height (raw CSS, e.g. '400px'), render_cap, eager_cells, worker (default False — data is inlined), plus name (status line) and index (include the DataFrame index as leading columns). Dark mode follows the host page (prefers-color-scheme; JupyterLab dark themes included).

Dates are emitted ISO (yyyy-mm-dd, with hh:mm only when a column has non-midnight times); integral float columns are emitted as integers so the grid's integer/year rules apply.