#GRAPHVIZ DOCUMENTATION CODE#

node_attr: Mapping of ``(attribute, value)`` pairs set for all nodes. graph_attr: Mapping of ``(attribute, value)`` pairs for the graph. encoding: Encoding for saving the source. formatter: Output formatter used (``'cairo'``, ``'gd'``. renderer: Output renderer used (``'cairo'``, ``'gd'``. engine: Layout command used (``'dot'``, ``'neato'``. format: Rendering output format (``'pdf'``, ``'png'``. directory: (Sub)directory for source saving and rendering. filename: Filename for saving the source (defaults to ``name`` + ``'.gv'``). comment: Comment added to the first line of the source. Args: name: Graph name used in the source code.

#GRAPHVIZ DOCUMENTATION CODE#

GraphSyntax, BaseGraph ): '''Graph source code in the DOT language.

_init_ ( name = name, comment = comment, graph_attr = graph_attr, node_attr = node_attr, edge_attr = edge_attr, body = body, strict = strict, filename = filename, directory = directory, encoding = encoding, format = format, engine = engine, renderer = renderer, formatter = formatter ) def source ( self ) -> str : '''The generated DOT source code as string.''' return ''. Example: > doctest_mark_exe() > import graphviz > dot = graphviz.Graph(comment='Mønti Pythøn ik den Hølie Grailen') > dot.node('Møøse') > dot.node('trained_by', 'trained by') > dot.node('tutte', 'TUTTE HERMSGERVORDENBROTBORDA') > dot.edge('Møøse', 'trained_by') > dot.edge('trained_by', 'tutte') > dot.node_attr = 'rectangle' > print(dot.source) #doctest: +NORMALIZE_WHITESPACE // Mønti Pythøn ik den Hølie Grailen graph ' super (). This approach can be adapted fairly easily for various kinds of data structures, and is generally much faster and easier than creating a UI just for visualizing the structure.R '''Assemble DOT source code objects. This approach made it vastly easier to see what was happening in the tree and spot bugs in my implementation of a given algorithm. dot file, stopped there with a breakpoint, then opened that file with GraphViz, which is smart enough to re-render the DOT graph when the file is updated. In my test code, after each modification of the tree, I called - dotGraphString and saved the result to a. (With a little care, you can easily represent null sentinel nodes and display the tree in proper sorted order.) In about 30-40 lines of code (most of it at the bottom of CHAbstractBinarySearchTree.m), I added the ability to iteratively traverse a binary tree and create a DOT representation of it, including balancing information, coloring nodes red or black, etc. I implemented two methods: -(NSString*)dotGraphString on the parent class and -(NSString*)dotGraphStringForNode: on each child class. I develop amework, an open-source Objective-C framework, which includes several varieties of BSTs.

One of the places I've found GraphViz extremely useful is for understanding and debugging binary search tree algorithms. I generally don't write DOT by hand, but automatically-generated DOT can be well worth the minimal effort. However, GraphViz and DOT can be really handy, not only for documentation, but for debugging and code comprehension as well, particularly for data structures. For from-scratch or hand-tuned documentation, I use OmniGraffle (since I'm on a Mac) which I highly recommend. If you're just talking about creating inheritance/collaboration diagrams like Doxygen does, it's worth investigating IDEs that will do that for you automatically.

Graphviz documentation