How to Control the Maximum Number of Rows Displayed in Outfancy Tables

You can control the maximum number of rows displayed in outfancy tables by calling the set_maximum_number_of_rows() method on a Table instance, passing -1 for unlimited output or any positive integer to enforce a hard limit.

The outfancy library provides flexible terminal table formatting for Python, and restricting row visibility is essential when previewing large datasets in constrained environments. By configuring the maximum_number_of_rows attribute on the Table class in outfancy/table.py, you can restrict rendered output to exactly the number of rows you need.

Setting a Hard Row Limit on Table Instances

The primary interface for controlling output length is the set_maximum_number_of_rows() method defined at line 191 of outfancy/table.py. This setter accepts an integer parameter where positive values enforce a ceiling and -1 represents unlimited rendering.

When you instantiate a Table object, the constructor initializes self.maximum_number_of_rows to -1 at line 112, ensuring unrestricted output by default. To impose a limit, invoke the setter after instantiation:

import outfancy.table
from outfancy.example_dataset import dataset

# Create table instance

table = outfancy.table.Table()

# Limit display to 10 rows

table.set_maximum_number_of_rows(10)

# Render with truncation

print(table.render(dataset))

Understanding the Internal Implementation

The maximum_number_of_rows Attribute

The maximum_number_of_rows value persists as an instance attribute throughout the table's lifecycle. According to the source code at lines 191-196, the setter implementation performs a direct assignment to self.maximum_number_of_rows, storing your constraint for subsequent render operations. You can retrieve the current setting at any time using show_maximum_number_of_rows(), implemented at line 240.

Size Validation During Rendering

During the render() pipeline, outfancy evaluates dataset dimensions against your configured limit in the check_correct_table_size method at line 472. When the check_table_size flag is enabled via set_check_table_size(True), exceeding maximum_number_of_rows causes the method to abort rendering and return an error string at lines 480-482. By default, this flag is False, allowing the table to render within the specified row limit without raising exceptions.

Working with Oneline for Compact Output

The Oneline subclass specializes in ultra-compact output by automatically restricting rendering to a single row. In its initializer at lines 96-98, it invokes self.table.set_maximum_number_of_rows(1) to establish this default constraint.

You can override this behavior to display more rows while retaining the Oneline formatting style:

from outfancy.table import Oneline

ol = Oneline()
ol.table.set_maximum_number_of_rows(3)  # Expand to 3 rows

print(ol.table.render(dataset))

Enforcing Strict Size Constraints

To raise explicit errors when datasets exceed your configured limit rather than silently truncating, enable strict validation before rendering:

table.set_maximum_number_of_rows(5)
table.set_check_table_size(True)  # Enable strict checking

print(table.render(dataset))      # Raises error if dataset > 5 rows

Summary

• Use set_maximum_number_of_rows(N) to cap output at N rows; pass -1 for unlimited rendering according to outfancy/table.py.
• Default behavior initializes the limit to -1 at line 112, allowing complete dataset visibility.
• Validation logic resides in check_correct_table_size() at line 472, comparing input length against self.maximum_number_of_rows.
• Oneline instances default to 1 row via lines 96-98 but can be reconfigured using the same setter interface.
• Strict enforcement requires calling set_check_table_size(True) to activate error throwing at lines 480-482.

Frequently Asked Questions

What value removes all row restrictions in outfancy?

Pass -1 to set_maximum_number_of_rows() to restore unlimited rendering. This matches the default initialization value set in the Table constructor at line 112 of outfancy/table.py, allowing the full dataset to render regardless of size.

Why does outfancy raise an error instead of truncating my table?

The library raises an error only when set_check_table_size(True) is active. By default, this flag is False, causing the renderer to truncate excess rows silently. Enabling the flag triggers the validation logic in check_correct_table_size() at line 472, which aborts rendering at lines 480-482 when data exceeds maximum_number_of_rows.

Can I display multiple rows using the Oneline class?

Yes. Although Oneline initializes with set_maximum_number_of_rows(1) at lines 96-98, you can override this by accessing the underlying table instance via ol.table.set_maximum_number_of_rows(N) to display up to N rows while maintaining the compact Oneline formatting conventions.

Where does outfancy store the current row limit?

The constraint persists in the self.maximum_number_of_rows instance attribute, initialized at line 112 and modified via the setter at lines 191-196 in outfancy/table.py. The getter at line 240 provides read access to this value, returning the integer currently governing output truncation.

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