Skip to main content
https://travis-ci.org/thautwarm/graphviz-artist.svg?branch=master https://img.shields.io/pypi/v/graphviz-artist.svg https://codecov.io/gh/thautwarm/graphviz-artist/branch/master/graph/badge.svg https://img.shields.io/pypi/pyversions/graphviz-artist.svg https://img.shields.io/badge/license-mit-teal.svg

Graphviz-Artist

You just become an artist in graph drawing once you start using Graphviz-Artist.

If you don’t have the demand of fine-grained controling upon generated graphs, the learning curve of graphviz-artist is actually horizontal.

This package provides a higher-level encapsulation for the python package graphviz, and you might want to have a try at the latter.

Installation

  • Install Graphviz.

  • pip install graphviz-artist

Quickstart

Undirected Graph

import graphviz_artist as ga

# make a graph
g = ga.Graph()

# make nodes
n1 = g.new()
n2 = g.new()
n3 = g.new()

# (>), (==) and (<) could create edges for graphs.
# n2 > n3 / n3 < n2 : there is an edge n2 -> n3
# (==) will be introduced later, as it's only meaningful to directed edges.
_ = n1 > n2 > n3 > n1

g.view()
https://raw.githubusercontent.com/thautwarm/graphviz-artist/master/imgs/test_1.png

Directed Graph

import graphviz_artist as ga

# use attr module to see which Graphviz Attributes
# could be auto-completed.
import graphviz_artist.attr as attr

# use HorizontalGraph
g = ga.Graph(attr.HorizontalGraph)

# `attr.Shape("<name>")` to specify the shape of nodes.
n1 = g.new(attr.Label('hey'), attr.Shape.diamond)
n2 = g.new(attr.Label('hey'), attr.Shape.hexagon)
n3 = g.new(attr.Label('you'), attr.Shape.star)

# `attr.Directed()` makes a directed edge.
directed = attr.Directed()

# `attr.Label` to specify the text that edges display
edge_label = attr.Label("passed_here")

# `attr.Penwidth` to decide the width of edge glyph.
edge_size = attr.Penwidth(2.)

# in `a < b[b_to_c_attrs...] > c`, the edge `b -> c` will have attribute `b_to_c_attrs`.
_ = n3[directed, edge_label, edge_size] > n1[directed] == n2 > n3

g.view()
https://raw.githubusercontent.com/thautwarm/graphviz-artist/master/imgs/test_2.png

Expression Tree

import graphviz_artist as ga
import graphviz_artist.attr as attr

# make a graph
g = ga.Graph(directed=True)

new = g.new

# decl nodes
false = new(attr.Label("False"))
true = new(attr.Label("True"))
not_ = new(attr.Label("not"))
and_ = new(attr.Label("and"))

unary1 = new(attr.Label("unary"))
unary2 = new(attr.Label("unary"))
binary = new(attr.Label("binary"), attr.Width(2), attr.Shape.box)
expr = new(attr.Label("expr"))

# build graph
_ = false > unary1 < not_
_ = true > unary2

_ = and_[attr.Label('Op')] > binary

# XLabel: For edges, the label will be placed near the center of the edge.
_ = unary1[attr.XLabel("Left operand")] > binary
_ = unary2[attr.XLabel('Right operand')] > binary
_ = binary > expr

g.view()
https://raw.githubusercontent.com/thautwarm/graphviz-artist/master/imgs/test_3.png

Metadata

Release files for graphviz-artist 0.2.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distribution (wheel)

Table of built distributions (wheels) for graphviz-artist 0.2.1
File Interpreter ABI Platform Actions
graphviz_artist-0.2.1-py3-none-any.whl Python 3 none any Details for graphviz_artist-0.2.1-py3-none-any.whl

Release files / graphviz_artist-0.2.1-py3-none-any.whl

Download URL graphviz_artist-0.2.1-py3-none-any.whl
Size 5.9 kB
Tags Python 3
SHA-256 checksum
How to use checksums
2bb51efed05cc2c57b3c7d0fc7f1a0ebd7945647ad16fa5f7ebbcc60273d386f
BLAKE2b-256 checksum
How to use checksums
c3a6ace0034307ecd922818300d4cab4492388c056fd1e3b5e45961ca80643a6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.0 CPython/3.9.1

Security for graphviz-artist 0.2.1

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page