Graph rendering in python flowchart visualization

Question

To Visualize a succession of nodes associated with edges encoded in python.

Searching for a python library to visualize such chart information.

Either a library written in python or python ties is alright

Answer 1

There are several popular Python libraries available for visualizing graphs and networks. Two commonly used libraries are NetworkX and Graph-tool. Both libraries provide functionality to create and visualize graphs with nodes and edges.

NetworkX: NetworkX is a powerful library for working with graphs in Python. It provides a wide range of algorithms and functions for graph analysis, manipulation, and visualization. You can install NetworkX using pip:

pip install networkx

Here's a simple example of creating and visualizing a graph using NetworkX:

import networkx as nx

import matplotlib.pyplot as plt

# Create a graph

G = nx.Graph()

G.add_edges_from([(1, 2), (2, 3), (3, 4)])

# Draw the graph

nx.draw(G, with_labels=True)

plt.show()

Graph-tool: Graph-tool is another popular library for graph analysis and visualization. It provides efficient implementations of various graph algorithms and supports visualization through the Graphviz library. You can install graph-tool using Conda:

conda install -c conda-forge graph-tool

Here's an example of creating and visualizing a graph using graph-tool:

import graph_tool.all as gt

# Create a graph

g = gt.Graph()

v1 = g.add_vertex()

v2 = g.add_vertex()

v3 = g.add_vertex()

e1 = g.add_edge(v1, v2)

e2 = g.add_edge(v2, v3)

e3 = g.add_edge(v3, v1)

# Draw the graph

gt.graph_draw(g, vertex_text=g.vertex_index, vertex_font_size=18,

              output_size=(200, 200), output="graph.png")

These are just two examples of Python libraries for graph visualization. Depending on your specific requirements, there are other libraries like PyGraphviz, igraph, and matplotlib that you might find useful.

Answer 2

According to me, Graphviz will be the best option.

Graphviz is the premiere graph rendering/layout library; it's mature, stable, open-source, and free of charge. It is not a dedicated flowchart or diagramming package, but its core use case--i.e., efficient and aesthetic rendering of objects comprised of nodes and edges, obviously subsumes flowchart drawing--particularly because its api allows the user to set various constraints on the layout to encourage rendering in the various formats--eg, you can require all nodes of the same level (same number of parents from the root) to be rendered in a single center-aligned row.

Graphviz is not a python library (it's written in C); however there are high quality python bindings available.

The python-Graphviz library I am most familar with is pygraphviz, which is excellent.

Look at the below code, which is used to create a small "flowchart".

digraph {

  node [    fill=cornflowerblue,

            fontcolor=white,

            shape=diamond,

            style=filled];

  Step1 [   color=darkgoldenrod2,

            fontcolor=navy,

            label=start,

            shape=box];

  Step2;

  Step3a [  style=filled,

            fillcolor=grey80,

            color=grey80,

            shape=circle,

            fontcolor=navy];

  Step1  -> Step2;

  Step1  -> Step2a;

  Step2a -> Step3a;

  Step3;

  Step3a -> Step3;

  Step3a -> Step2b;

  Step2  -> Step2b;

  Step2b -> Step3;

  End [ shape=rectangle,

        color=darkgoldenrod2,

        fontcolor=navy];

  Step3  -> End [label=193];

}

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Answer 3

Two popular Python libraries for visualizing graphs and networks are NetworkX and Graph-tool. NetworkX is a powerful library with a wide range of functions for graph analysis and visualization, while Graph-tool provides efficient graph algorithms and supports visualization using the Graphviz library.

Answer 4

Two widely used Python libraries for visualizing graphs and networks are NetworkX and Graph-tool. NetworkX offers a rich set of functions for graph analysis and visualization, while Graph-tool provides efficient graph algorithms and supports visualization using the Graphviz library.