table3

Paged, theme-aware tables in notebook output, the way R notebooks print a data frame. It is the shared table display of tidy3, tidy3a and stats3, released on its own so each can show tables without depending on the others. It needs only polars.

import polars as pl
import table3

penguins = pl.read_csv(
    "https://raw.githubusercontent.com/allisonhorst/palmerpenguins/main/inst/extdata/penguins.csv",
    null_values="NA",
)
table3.show(penguins);                           # ten rows a page, every row up to n=1000
table3.show(penguins, page_size=25);             # bigger pages
table3.show(penguins, pages=False, height=300);  # one box that scrolls
table3.show(penguins, digits=4);                 # four significant digits

Column names and types sit in the header, missing values show as null, floats print as polars' text preview prints them (or to digits= significant digits, or digits="full"), and long values are cut with the full value on hover. Wide tables show as many columns as fit, with arrows to the rest. The table follows the notebook's light or dark theme in VS Code, JupyterLab and SolveIt.

show() returns what it was given, so it can sit in the middle of a pipe. As a cell's last line the notebook also prints that value; end the line with ; to hide it.

Your own frames

A package makes its frames print this way by returning table3.html(self) from _repr_html_. An object with a __table3__ method shows without table3 importing its package:

def __table3__(self, n):
    return first_n_rows_as_polars, total_rows_or_None, "caption or None"

def _repr_html_(self):
    return table3.html(self, n=100)

More

docs/design.md records the design and what each package adds. table3 was first released as view3 0.1 and 0.2, where show() was view(), and its versions continue from them. The name view is kept for a data explorer, as R's View() opens one.