# Text-Heavy Tables # Long Strings (Default Width) Cells with very long text are capped at `max_col_width` (250px by default) and show an ellipsis instead of wrapping. ``` python from great_docs import tbl_preview data = { "id": [1, 2, 3, 4, 5], "title": [ "A short title", "A moderately long title that tests mid-range widths", "This title is intentionally very long so that it will definitely exceed the maximum column width and trigger text-overflow ellipsis behavior in the rendered table cell", "Brief", "Another extremely verbose title string that goes on and on to stress-test the truncation and overflow handling in the preview table renderer", ], "status": ["draft", "published", "review", "archived", "published"], } tbl_preview(data, show_all=True) ```
TableRows5Columns3
id i64
title str
status str
0 1 A short title draft
1 2 A moderately long title that tests mid-range widths published
2 3 This title is intentionally very long so that it will definitely exceed the maximum column width and trigger text-overflow ellipsis behavior in the rendered table cell review
3 4 Brief archived
4 5 Another extremely verbose title string that goes on and on to stress-test the truncation and overflow handling in the preview table renderer published
# Descriptions and Paragraphs Real-world data often has paragraph-length text in columns. ``` python data = { "package": ["NumPy", "Pandas", "Polars", "Great Tables", "Pointblank"], "description": [ "Fundamental package for scientific computing with Python. Provides N-dimensional arrays, linear algebra, Fourier transforms, and random number generation.", "Powerful data structures for data analysis, time series, and statistics. Built on NumPy with labeled axes, automatic alignment, and rich I/O.", "Lightning-fast DataFrame library in Rust with a Python API. Lazy evaluation, multi-threaded queries, and Apache Arrow memory format.", "Build beautiful, publication-quality tables in Python. Supports Polars and Pandas DataFrames with fine-grained styling, formatting, and export.", "Data validation library for Python. Define expectations, validate data, and generate detailed reports with table-level and column-level checks.", ], "version": ["1.26.0", "2.2.0", "0.20.0", "0.15.0", "0.14.0"], } tbl_preview(data, show_all=True) ```
TableRows5Columns3
package str
description str
version str
0 NumPy Fundamental package for scientific computing with Python. Provides N-dimensional arrays, linear algebra, Fourier transforms, and random number generation. 1.26.0
1 Pandas Powerful data structures for data analysis, time series, and statistics. Built on NumPy with labeled axes, automatic alignment, and rich I/O. 2.2.0
2 Polars Lightning-fast DataFrame library in Rust with a Python API. Lazy evaluation, multi-threaded queries, and Apache Arrow memory format. 0.20.0
3 Great Tables Build beautiful, publication-quality tables in Python. Supports Polars and Pandas DataFrames with fine-grained styling, formatting, and export. 0.15.0
4 Pointblank Data validation library for Python. Define expectations, validate data, and generate detailed reports with table-level and column-level checks. 0.14.0
# Narrow Max Width (120px) Force aggressive truncation with a tight `max_col_width`: ``` python tbl_preview(data, show_all=True, max_col_width=120) ```
TableRows5Columns3
package str
description str
version str
0 NumPy Fundamental package for scientific computing with Python. Provides N-dimensional arrays, linear algebra, Fourier transforms, and random number generation. 1.26.0
1 Pandas Powerful data structures for data analysis, time series, and statistics. Built on NumPy with labeled axes, automatic alignment, and rich I/O. 2.2.0
2 Polars Lightning-fast DataFrame library in Rust with a Python API. Lazy evaluation, multi-threaded queries, and Apache Arrow memory format. 0.20.0
3 Great Tables Build beautiful, publication-quality tables in Python. Supports Polars and Pandas DataFrames with fine-grained styling, formatting, and export. 0.15.0
4 Pointblank Data validation library for Python. Define expectations, validate data, and generate detailed reports with table-level and column-level checks. 0.14.0
# Wide Max Width (500px) Allow generous room -- long text is still capped, but more is visible: ``` python tbl_preview(data, show_all=True, max_col_width=500) ```
TableRows5Columns3
package str
description str
version str
0 NumPy Fundamental package for scientific computing with Python. Provides N-dimensional arrays, linear algebra, Fourier transforms, and random number generation. 1.26.0
1 Pandas Powerful data structures for data analysis, time series, and statistics. Built on NumPy with labeled axes, automatic alignment, and rich I/O. 2.2.0
2 Polars Lightning-fast DataFrame library in Rust with a Python API. Lazy evaluation, multi-threaded queries, and Apache Arrow memory format. 0.20.0
3 Great Tables Build beautiful, publication-quality tables in Python. Supports Polars and Pandas DataFrames with fine-grained styling, formatting, and export. 0.15.0
4 Pointblank Data validation library for Python. Define expectations, validate data, and generate detailed reports with table-level and column-level checks. 0.14.0
# Mixed Short and Long Columns Short numeric/code columns alongside verbose text -- each column gets its own computed width. ``` python data = { "code": ["E001", "E002", "E003", "W001", "W002", "I001", "I002", "E004"], "severity": ["error", "error", "error", "warning", "warning", "info", "info", "error"], "message": [ "Undefined variable: foobar", "Type mismatch: expected int, got str in argument `count` of function process_batch()", "Division by zero in expression total / n_items where n_items evaluates to 0", "Unused import: os (imported but never referenced in module)", "Variable `tmp` assigned on line 42 but never used anywhere in the function body", "Module docstring missing: consider adding a module-level docstring", "Line too long: 127 characters (max 120). Consider breaking this into multiple lines for readability", "Syntax error: unexpected token ) at position 34 in expression parse(input))", ], "line": [12, 45, 78, 3, 42, 1, 99, 34], } tbl_preview(data, show_all=True) ```
TableRows8Columns4
code str
severity str
message str
line i64
0 E001 error Undefined variable: foobar 12
1 E002 error Type mismatch: expected int, got str in argument `count` of function process_batch() 45
2 E003 error Division by zero in expression total / n_items where n_items evaluates to 0 78
3 W001 warning Unused import: os (imported but never referenced in module) 3
4 W002 warning Variable `tmp` assigned on line 42 but never used anywhere in the function body 42
5 I001 info Module docstring missing: consider adding a module-level docstring 1
6 I002 info Line too long: 127 characters (max 120). Consider breaking this into multiple lines for readability 99
7 E004 error Syntax error: unexpected token ) at position 34 in expression parse(input)) 34