pptree is a Python library (current version 3.1) designed to pretty-print tree-like data structures in a console-friendly, hierarchical format. It provides a default `Node` implementation and a `print_tree` function that can work with both its own `Node` objects and custom object structures. The library has an infrequent release cadence, with the last update in April 2020.
pip install pptreeVerified import paths — ran on the pinned version, not inferred.
This quickstart demonstrates how to create and pretty-print a tree using `pptree`'s default `Node` class and how to adapt `print_tree` for custom node implementations by specifying `childattr` and `nameattr`.
Evaluate newer, actively developed tree visualization libraries for long-term projects.
Test `pptree` output in your target environment. For critical applications, consider alternative libraries or rendering methods, or explore `print-tree2` which claims better cross-platform Unicode support.
Do not rely on `pptree` to preserve the exact order of children in the printed output if order is critical. Verify if an alternative library respects child order.
Always explicitly define `childattr` and `nameattr` (e.g., `print_tree(root, childattr='my_children', nameattr='my_name')`) when using custom node classes.
Run `pip install pptree` to install the library.
Either change your import statement to `from pptree import Node, print_tree` or access the symbols using `pptree.Node` and `pptree.print_tree`.
Specify the correct attribute name for children in your custom node using the `childattr` parameter (e.g., `print_tree(my_root, childattr='my_custom_children_attribute')`).
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