pydot

Python interface to Graphviz's Dot language

Description

pydot

* is an interface to Graphviz * can parse and dump into the DOT language used by GraphViz, * is written in pure Python,

and networkx can convert its graphs to pydot. Development occurs at GitHub (under branch dev), where you can report issues and contribute code.

Programming language: Python

License: MIT License

Tags: Data Visualization     Scientific     Engineering     Visualization     Graph    

Latest version: v1.4.2

README

About

pydot:

• is an interface to Graphviz
• can parse and dump into the DOT language used by GraphViz,
• is written in pure Python,

and networkx can convert its graphs to pydot.

Development occurs at GitHub, where you can report issues and contribute code.

Examples

The examples here will show you the most common input, editing and output methods.

Input

No matter what you want to do with pydot, it will need some input to start with. Here are 3 common options:

1. Import a graph from an existing DOT-file.

   Use this method if you already have a DOT-file describing a graph, for example as output of another program. Let's say you already have this example.dot (based on an example from Wikipedia):

   graph my_graph {
      bgcolor="yellow";
      a [label="Foo"];
      b [shape=circle];
      a -- b -- c [color=blue];
   }
   

   Just read the graph from the DOT-file:

   import pydot
   
   graphs = pydot.graph_from_dot_file("example.dot")
   graph = graphs[0]
   

2. or: Parse a graph from an existing DOT-string.

   Use this method if you already have a DOT-string describing a graph in a Python variable:

   import pydot
   
   dot_string = """graph my_graph {
       bgcolor="yellow";
       a [label="Foo"];
       b [shape=circle];
       a -- b -- c [color=blue];
   }"""
   
   graphs = pydot.graph_from_dot_data(dot_string)
   graph = graphs[0]
   

3. or: Create a graph from scratch using pydot objects.

   Now this is where the cool stuff starts. Use this method if you want to build new graphs from Python.

   import pydot
   
   graph = pydot.Dot("my_graph", graph_type="graph", bgcolor="yellow")
   
   # Add nodes
   my_node = pydot.Node("a", label="Foo")
   graph.add_node(my_node)
   # Or, without using an intermediate variable:
   graph.add_node(pydot.Node("b", shape="circle"))
   
   # Add edges
   my_edge = pydot.Edge("a", "b", color="blue")
   graph.add_edge(my_edge)
   # Or, without using an intermediate variable:
   graph.add_edge(pydot.Edge("b", "c", color="blue"))
   

   Imagine using these basic building blocks from your Python program to dynamically generate a graph. For example, start out with a basic pydot.Dot graph object, then loop through your data while adding nodes and edges. Use values from your data as labels, to determine shapes, edges and so forth. This way, you can easily build visualizations of thousands of interconnected items.

4. or: Convert a NetworkX graph to a pydot graph.

   NetworkX has conversion methods for pydot graphs:

   import networkx
   import pydot
   
   # See NetworkX documentation on how to build a NetworkX graph.
   
   graph = networkx.drawing.nx_pydot.to_pydot(my_networkx_graph)
   

Edit

You can now further manipulate your graph using pydot methods:

• Add further nodes and edges:

  graph.add_edge(pydot.Edge("b", "d", style="dotted"))

• Edit attributes of graph, nodes and edges:

  graph.set_bgcolor("lightyellow")
  graph.get_node("b")[0].set_shape("box")

Output

Here are 3 different output options:

1. Generate an image.

   To generate an image of the graph, use one of the create_*() or write_*() methods.

- If you need to further process the output in Python, the
  `create_*` methods will get you a Python bytes object:

  ```python
  output_graphviz_svg = graph.create_svg()
  ```

- If instead you just want to save the image to a file, use one of
  the `write_*` methods:

  ```python
  graph.write_png("output.png")
  ```

1. Retrieve the DOT string.

   There are two different DOT strings you can retrieve:

- The "raw" pydot DOT: This is generated the fastest and will
  usually still look quite similar to the DOT you put in. It is
  generated by pydot itself, without calling Graphviz.

  ```python
  # As a string:
  output_raw_dot = graph.to_string()
  # Or, save it as a DOT-file:
  graph.write_raw("output_raw.dot")
  ```

- The Graphviz DOT: You can use it to check how Graphviz lays out
  the graph before it produces an image. It is generated by
  Graphviz.

  ```python
  # As a bytes literal:
  output_graphviz_dot = graph.create_dot()
  # Or, save it as a DOT-file:
  graph.write_dot("output_graphviz.dot")
  ```

1. Convert to a NetworkX graph.

   Here as well, NetworkX has a conversion method for pydot graphs:

   my_networkx_graph = networkx.drawing.nx_pydot.from_pydot(graph)
   

More help

For more help, see the docstrings of the various pydot objects and methods. For example, help(pydot), help(pydot.Graph) and help(pydot.Dot.write).

More documentation contributions welcome.

Installation

From PyPI using pip:

pip install pydot

From source:

python setup.py install

Dependencies

• pyparsing: used only for loading DOT files, installed automatically during pydot installation.

• GraphViz: used to render graphs as PDF, PNG, SVG, etc. Should be installed separately, using your system's package manager, something similar (e.g., MacPorts), or from its source.

License

Distributed under an MIT license.

Contacts

Maintainers:

• Sebastian Kalinowski [email protected] (GitHub: @prmtl)
• Peter Nowee [email protected] (GitHub: @peternowee)

Original author: Ero Carrera [email protected]