The document describes several graph layout programs including dot, neato, twopi, circo, fdp, and sfdp. These programs take graph files as input and output drawings of the graphs in various formats like PostScript, SVG, and bitmap images. The programs use different algorithms to determine the layout, such as hierarchies for dot, springs for neato and fdp, radial layouts for twopi, and circular layouts for circo. The document provides details on the command line syntax, input graph file format, and attributes that control the graph drawing output.
This is the slides of the UCLA School of Engineering Matlab workshop on Matlab graphics.
Learning Matlab graphics by examples:
- In 2 hours, you will be able to create publication-quality plots.
- Starts from the basic 2D line plots to more advanced 3D plots.
- You will also learn some advanced topics like fine-tuning the appearance of your figure and the concept of handles.
- You will be able to create amazing animations: we use 2D wave equation and Lorentz attractor as examples.
I made this presentation for my class presentation. Sorry if there's some mistakes in my way to explain it... This is about the depth-first search algorithm and this is a paper review...the title of the paper is Self-Stabilizing Depth-First Search
This is the slides of the UCLA School of Engineering Matlab workshop on Matlab graphics.
Learning Matlab graphics by examples:
- In 2 hours, you will be able to create publication-quality plots.
- Starts from the basic 2D line plots to more advanced 3D plots.
- You will also learn some advanced topics like fine-tuning the appearance of your figure and the concept of handles.
- You will be able to create amazing animations: we use 2D wave equation and Lorentz attractor as examples.
I made this presentation for my class presentation. Sorry if there's some mistakes in my way to explain it... This is about the depth-first search algorithm and this is a paper review...the title of the paper is Self-Stabilizing Depth-First Search
C programming, learn array 2020 week 5 and week 6, Students should know how to define/declare, initialize arrays, and multidimensional arrays types. so they can apply this knowledge during the implementation of software applications.
How to 2D plots in Matlab. Easy steps to graph mathematical functions.
You have to define your interval of interest and consider a step in your independent vector, then you have to define your function and use an appropriate 2D built-in function.
More information and examples:
http://matrixlab-examples.com/matlab-plot-2tier.html
This presentation takes you on a functional programming journey, it starts from basic Scala programming language design concepts and leads to a concept of Monads, how some of them designed in Scala and what is the purpose of them
C programming, learn array 2020 week 5 and week 6, Students should know how to define/declare, initialize arrays, and multidimensional arrays types. so they can apply this knowledge during the implementation of software applications.
How to 2D plots in Matlab. Easy steps to graph mathematical functions.
You have to define your interval of interest and consider a step in your independent vector, then you have to define your function and use an appropriate 2D built-in function.
More information and examples:
http://matrixlab-examples.com/matlab-plot-2tier.html
This presentation takes you on a functional programming journey, it starts from basic Scala programming language design concepts and leads to a concept of Monads, how some of them designed in Scala and what is the purpose of them
Graphs made easy with SAS ODS Graphics Designer (PAPER)Kevin Lee
Graphs can provide the visual patterns and clarities that are not apparent in tables and listings, but sometimes it takes too long to create ones. Now, The ODS Graphics Designer makes it much easier. The paper is intended for Clinical Trial SAS® programmers who are interested in creating graphs using ODS Graphics Designer. The ODS Graphics Designer is a SAS/GRAPH GUI based interactive tool. The codes in ODS Graphics Designer are based on the Graph Template Language (GTL), but SAS programmers can create graphs using its point-and-click interaction without any programming. The ODS Graphics Designer allows SAS programmers to create many kinds of graphs such as scatter plots, series plots, step plot, histogram, box and more. The paper will show how to start the ODS Graphics Designer in SAS. The paper will also show how easy to create simple or complex graphs using the designer and how to enhance graphs using other features such as legends, cell properties, plot properties and so on. The paper will demonstrate how to create GTL and template codes from designer that will also create the exact graphs in SAS programming. The setting is set up in CDISC environment, so ADaM datasets will be used as source data.
Social networks are not new, even though websites like Facebook and Twitter might make you want to believe they are; and trust me- I’m not talking about Myspace! Social networks are extremely interesting models for human behavior, whose study dates back to the early twentieth century. However, because of those websites, data scientists have access to much more data than the anthropologists who studied the networks of tribes!
Because networks take a relationship-centered view of the world, the data structures that we will analyze model real world behaviors and community. Through a suite of algorithms derived from mathematical Graph theory we are able to compute and predict behavior of individuals and communities through these types of analyses. Clearly this has a number of practical applications from recommendation to law enforcement to election prediction, and more.
Introduction
Plotting basic 2-D plots.
The plot command
The fplot command
Plotting multiple graphs in the same plot
Formatting plots
USING THE plot() COMMAND TO PLOT
MULTIPLE GRAPHS IN THE SAME PLOT
MATLAB PROGRAM TO PLOT VI CHARACTERISTICS OF A DIODE
SUMMARY
Graphs are the natural data structure to represent relations. Graph algorithms show irregular memory access pattern. This causes, distributed-memory parallel graph algorithms to do more communication than computation. When an algorithm generates more work the more communication they need to do. The amount of work can be reduced with frequent synchronization. However, the overhead of frequent synchronization reduces the performance of distributed-memory parallel graph algorithms. Abstract Graph Machine (AGM) is a model that can control the amount of synchronization and the amount of work generated by an algorithm,
A Scalable Hierarchical Clustering Algorithm Using Spark: Spark Summit East t...Spark Summit
Clustering is often an essential first step in datamining intended to reduce redundancy, or define data categories. Hierarchical clustering, a widely used clustering technique, can
offer a richer representation by suggesting the potential group
structures. However, parallelization of such an algorithm is challenging as it exhibits inherent data dependency during the hierarchical tree construction. In this paper, we design a
parallel implementation of Single-linkage Hierarchical Clustering by formulating it as a Minimum Spanning Tree problem. We further show that Spark is a natural fit for the parallelization of
single-linkage clustering algorithm due to its natural expression
of iterative process. Our algorithm can be deployed easily in
Amazon’s cloud environment. And a thorough performance
evaluation in Amazon’s EC2 verifies that the scalability of our
algorithm sustains when the datasets scale up.
Looking for a computer institute to learn Full Stack development and Digital Marketing? Our institute offers comprehensive courses in both areas, providing students with the skills and knowledge needed to succeed in today's digital landscape
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However, the the graph theory jargon can make graph analytics seem more intimidating for self-study than is necessary. In this talk, the audience will be exposed to some of the basic concepts of graph theory (no prerequisite math knowledge needed!) and a few of the Python tools available for graph analysis.
Background This course is all about data visualization. However, we.docxrosemaryralphs52525
Background: This course is all about data visualization. However, we must first have some understanding about the data that we are using to create the visualizations. For this assignment, each group will be given its unique dataset to work with. That same dataset will be used for both part 1 and part 2 of this assignment.
Your Assignment
:
Part 1 - Data Analysis with RStudio
Provide screen shots that show analysis of your dataset. For each screen shot, please show
comment lines
that describes what the next line(s) of code is to achieve,
the code
in proper syntax for R
,
and the
computed results
that R produces.
Analyzing your data:Watch the video included in this week's Residency material to learn the simple commands to conduct basic data analysis with RStudio.Use RStudio to generate results - create screen shots and then paste to a MS word document with the basic data analysis of your dataset.
Remember to use a comment line (#) that explains each R instruction
. Example: (#sets the working directory). Commands (
setwd
,
dim
,
head
,
tail
,
structure
,
summary, cor, transform, subset).
First, set your working directory (command - setwd OR use drop down from RStudio
Session
tab.
Load your dataset into RStudio and examine its structure - read.csv OR select your object file from RStudio
Files
pane. Other commands to use:
dim
,
head
,
tail
,
structure
, and
summary
(provide comment lines; the R code; and results as screen shot #1)
View your original dataset - examine each field/grouping in the data - decide whether each field is: "categorical" or "continuous" data (add this also to screen shot #1)
Create a correlation of stats for the dataset. R requires categorical fields to be 0/1 instead of no/yes; also, fields must be numeric instead of string - Hint: might be necessary to Transform some fields. If so, create a new version of your dataset with these transformations then do correlation on transformed data - commands:
transform
and
cor
(provide as screen shot #2)
What is the Min, Max, Median, and Mean of
a continuous value field
in your data? (provide also as screen shot #2)
What is the correlation values between all fields in your dataset? (provide as screen shot #3)
Create a subset of the dataset with only at least two field in your dataset - commands:
subset
,
cor
(provide also as screen shot #3)
These three (3) screen shots containing the required data details should be placed in a MS Word document and labeled as Part 1 - Dataset Analysis .
Part 2 - Data Visualizing with RStudio
Background: As we have learned, a lot of thought goes into the design of a visualization. In this examination of your data and its visualization, we review how
data types
influence the choice of graphing - see "Selecting a Graph" hand-out (in this folder).Provide screen shots that shows graphs and charts of your dataset (Do NOT use ggplot2 or other R package features - we will learn and use these advance.
SVGo is a Go programming language library for generation of SVG. The talk discusses the design of the library, the concept of sketching in code, and the development of visualizations and tools.
Here are my slides for my preparation class for possible students in the Master in Electrical Engineering and Computer Science (Specialization in Computer Science)... for the entrance examination here at Cinvestav GDL.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
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Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
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Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
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Twopi.1
1. DOT(1) DOT(1)
NAME
dot − filter for drawing directed graphs
neato − filter for drawing undirected graphs
twopi − filter for radial layouts of graphs
circo − filter for circular layout of graphs
fdp − filter for drawing undirected graphs
sfdp − filter for drawing large undirected graphs
SYNOPSIS
dot [−(G|N|E)name=value] [−Tlang] [−l libfile] [−o outfile] [−v] [−V] [files]
neato [−(G|N|E)name=value] [−Tlang] [−l libfile] [−n[1|2]] [−o outfile] [−v] [−V] [files]
twopi [−(G|N|E)name=value] [−Tlang] [−l libfile] [−o outfile] [−v] [−V] [files]
circo [−(G|N|E)name=value] [−Tlang] [−l libfile] [−o outfile] [−v] [−V] [files]
fdp [−(G|N|E)name=value] [−Tlang] [−l libfile] [−o outfile] [−v] [−V] [files]
sfdp [−(G|N|E)name=value] [−Tlang] [−l libfile] [−o outfile] [−v] [−V] [files]
DESCRIPTION
dot draws directed graphs. It works well on DAGs and other graphs that can be drawn as hierarchies. It
reads attributed graph files and writes drawings. By default, the output format dot is the input file with lay-
out coordinates appended.
neato draws undirected graphs using ‘‘spring’’ models (see Kamada and Kawai, Information Processing
Letters 31:1, April 1989). Input files must be formatted in the dot attributed graph language. By default,
the output of neato is the input graph with layout coordinates appended.
twopi draws graphs using a radial layout (see G. Wills, Symposium on Graph Drawing GD’97, September,
1997). Basically, one node is chosen as the center and put at the origin. The remaining nodes are placed on
a sequence of concentric circles centered about the origin, each a fixed radial distance from the previous
circle. All nodes distance 1 from the center are placed on the first circle; all nodes distance 1 from a node
on the first circle are placed on the second circle; and so forth.
circo draws graphs using a circular layout (see Six and Tollis, GD ’99 and ALENEX ’99, and Kaufmann
and Wiese, GD ’02.) The tool identifies biconnected components and draws the nodes of the component on
a circle. The block-cutpoint tree is then laid out using a recursive radial algorithm. Edge crossings within a
circle are minimized by placing as many edges on the circle’s perimeter as possible. In particular, if the
component is outerplanar, the component will have a planar layout.
If a node belongs to multiple non-trivial biconnected components, the layout puts the node in one of them.
By default, this is the first non-trivial component found in the search from the root component.
fdp draws undirected graphs using a ‘‘spring’’ model. It relies on a force-directed approach in the spirit of
Fruchterman and Reingold (cf. Software-Practice & Experience 21(11), 1991, pp. 1129-1164).
sfdp also draws undirected graphs using the ‘‘spring’’ model described above, but it uses a multi-scale
approach to produce layouts of large graphs in a reasonably short time.
OUTPUT FORMATS
Dot uses an extensible plugin mechanism for its output renderers, so to see what output formats your instal-
lation of dot supports you can use ‘‘dot −Txxx’’ (where xxx is an unlikely format) and check the warning
message. Also, The plugin mechanism supports multiple implementations of the output formats. To see
what variants are available, use, for example: ‘‘dot −Tpng:’’ and to force a particular variant, use, for exam-
ple: ‘‘dot −Tpng:gd’’
Traditionally, dot supports the following: −Tps (PostScript), −Tsvg −Tsvgz (Structured Vector Graphics),
−Tfig (XFIG graphics), −Tmif (FrameMaker graphics), −Thpgl (HP pen plotters), and −Tpcl (Laserjet
printers), −Tpng −Tgif (bitmap graphics), −Tdia (GTK+ based diagrams), −Timap (imagemap files for
httpd servers for each node or edge that has a non(hynull "href" attribute.), −Tcmapx (client-side
imagemap for use in html and xhtml). Additional less common or more special-purpose output formats can
be found at http://www.graphviz.org/cvs/doc/info/output.html.)
23 August 2004 1
2. DOT(1) DOT(1)
GRAPH FILE LANGUAGE
Here is a synopsis of the graph file language, traditionally using the extension .dot, for graphs:
[strict] (graph|digraph) name { statement-list }
Is the top level graph. If the graph is strict then multiple edges are not allowed between the same pairs of
nodes. If it is a directed graph, indicated by digraph, then the edgeop must be "−>". If it is an undirected
graph then the edgeop must be "−−". Statements may be:
name=val;
node [name=val];
edge [name=val];
Set default graph, node, or edge attribute name to val. Any subgraph, node, or edge appearing after this
inherits the new default attributes.
n0 [name0=val0,name1=val1,...]; Creates node n0 (if it does not already exist) and sets its attributes
according to the optional list.
n0 edgeop n1 edgeop ... edgeop nn [name0=val0,name1=val1,...];
Creates edges between nodes n0, n1, ..., nn and sets their attributes according to the optional list. Creates
nodes as necessary.
[subgraph name] { statement-list }
Creates a subgraph. Subgraphs may be used in place of n0, ..., nn in the above statements to create edges.
[subgraph name] is optional; if missing, the subgraph is assigned an internal name.
Comments may be /*C-like*/ or //C++-like.
Attribute names and values are ordinary (C-style) strings. The following sections describe attributes that
control graph layout.
GRAPH ATTRIBUTES
size="x,y" sets bounding box of drawing in inches.
page="x,y" sets the PostScript pagination unit.
ratio=f sets the aspect ratio to f which may be a floating point number, or one of the keywords fill, com-
press, or auto.
layout=engine indicates the preferred layout engine ("dot", "neato", fdp" etc) overriding the default from
the basename of the command or the -K commandline option.
margin=f sets the page margin (included in the page size).
nodesep=f sets the minimum separation between nodes.
ranksep=f sets the minimum separation between ranks.
ordering=out constrains order of out-edges in a subgraph according to their file sequence.
rankdir=LR|RL|BT requests a left-to-right, right-to-left, or bottom-to-top, drawing.
pagedir=[TBLR][TBLR] sets the major and minor order of pagination.
rank=same (or min or max) in a subgraph constrains the rank assignment of its nodes. If a subgraph’s
name has the prefix cluster, its nodes are drawn in a distinct rectangle of the layout. Clusters may be
nested.
rotate=90 sets landscape mode. (orientation=land is backward compatible but obsolete.)
center=n a non-zero value centers the drawing on the page.
nslimit=f or mclimit=f adjusts the bound on the number of network simplex or mincross iterations by the
given ratio. For example, mclimit=2.0 runs twice as long.
layers="id:id:id:id" is a sequence of layer identifiers for overlay diagrams. The PostScript array variable
layercolorseq sets the assignment of colors to layers. The least index is 1 and each element must be a
23 August 2004 2
3. DOT(1) DOT(1)
3-element array to be interpreted as a color coordinate.
color=colorvalue sets foreground color (bgcolor for background).
href="url" the default url for image map files; in PostScript files, the base URL for all relative URLs, as
recognized by Acrobat Distiller 3.0 and up.
URL="url" ("URL" is a synonym for "href".)
stylesheet="file.css" includes a reference to a stylesheet in −Tsvg and −Tsvgz outputs. Ignored by other
formats.
(neato-specific attributes)
start=val. Requests random initial placement and seeds the random number generator. If val is not an inte-
ger, the process ID or current time is used as the seed.
epsilon=n. Sets the cutoff for the solver. The default is 0.1.
splines=boolean. Setting this to true causes edges to be drawn as splines if nodes don’t overlap. The default
is false.
(twopi-specific attributes)
root=ctr. This specifies the node to be used as the center of the layout. If not specified, twopi will randomly
pick one of the nodes that are furthest from a leaf node, where a leaf node is a node of degree 1. If no leaf
nodes exists, an arbitrary node is picked as center.
ranksep=val. Specifies the radial distance in inches between the sequence of rings. The default is 0.75.
overlap=mode. This specifies what twopi should do if any nodes overlap. If mode is "false", the program
uses Voronoi diagrams to adjust the nodes to eliminate overlaps. If mode is "scale", the layout is uniformly
scaled up, preserving node sizes, until nodes no longer overlap. The latter technique removes overlaps
while preserving symmetry and structure, while the former removes overlaps more compactly but destroys
symmetries. If mode is "true" (the default), no repositioning is done.
splines=true/false. If set to true, twopi will use the graphviz path planning library to draw edges as splines
avoiding nodes. If the value is false, or some nodes overlap, edges are drawn as straight line segments con-
necting nodes. This is also the default style.
(circo-specific attributes)
root=nodename. Specifies the name of a node occurring in the root block. If the graph is disconnected, the
root node attribute can be used to specify additional root blocks.
mindist=value. Sets the minimum separation between all nodes. If not specified then circo uses a default
value of 1.0.
splines=true/false. If set to true, circo will use the graphviz path planning library to draw edges as splines
avoiding nodes. If the value is false, or some nodes overlap, edges are drawn as straight line segments con-
necting nodes. This is also the default style.
(fdp-specific attributes)
K=val. Sets the default ideal node separation in the layout.
maxiter=val. Sets the maximum number of iterations used to layout the graph.
start=val. Adjusts the random initial placement of nodes with no specified position. If val is is an integer,
it is used as the seed for the random number generator. If val is not an integer, a random system-generated
integer, such as the process ID or current time, is used as the seed.
splines=val. If val is "true", edges are drawn as splines to avoid nodes. By default, edges are draw as line
segments.
23 August 2004 3
4. DOT(1) DOT(1)
NODE ATTRIBUTES
height=d or width=d sets minimum height or width. Adding fixedsize=true forces these to be the actual
size (text labels are ignored).
shape=record polygon epsf builtin_polygon
builtin_polygon is one of: plaintext ellipse oval circle egg triangle box diamond trapezium parallelo-
gram house hexagon octagon note tab box3d component. (Polygons are defined or modified by the fol-
lowing node attributes: regular, peripheries, sides, orientation, distortion and skew.) epsf uses the
node’s shapefile attribute as the path name of an external EPSF file to be automatically loaded for the node
shape.
label=text where text may include escaped newlines n, l, or r for center, left, and right justified lines.
The string ’N’ value will be replaced by the node name. The string ’G’ value will be replaced by the
graph name. Record labels may contain recursive box lists delimited by { | }. Port identifiers in labels are
set off by angle brackets < >. In the graph file, use colon (such as, node0:port28).
fontsize=n sets the label type size to n points.
fontname=name sets the label font family name.
color=colorvalue sets the outline color, and the default fill color if style=filled and fillcolor is not specified.
fillcolor=colorvalue sets the fill color when style=filled. If not specified, the fillcolor when style=filled
defaults to be the same as the outline color.
fontcolor=colorvalue sets the label text color.
A colorvalue may be "h,s,v" (hue, saturation, brightness) floating point numbers between 0 and 1, or an
X11 color name such as white black red green blue yellow magenta cyan or burlywood, or a "#rrggbb"
(red, green, blue, 2 hex characters each) value.
style=filled solid dashed dotted bold invis or any Postscript code.
layer=id or id:id or "all" sets the node’s active layers. The empty string means no layers (invisible).
The following attributes apply only to polygon shape nodes:
regular=n if n is non-zero then the polygon is made regular, i.e. symmetric about the x and y axis, other-
wise the polygon takes on the aspect ratio of the label. builtin_polygons that are not already regular are
made regular by this attribute. builtin_polygons that are already regular are not affected (i.e. they cannot
be made asymmetric).
peripheries=n sets the number of periphery lines drawn around the polygon. This value supersedes the
number of periphery lines of builtin_polygons.
sides=n sets the number of sides to the polygon. n<3 results in an ellipse. This attribute is ignored by
builtin_polygons.
orientation=f sets the orientation of the first apex of the polygon counterclockwise from the vertical, in
degrees. f may be a floating point number. The orientation of labels is not affected by this attribute. This
attribute is added to the initial orientation of builtin_polygons.
distortion=f sets the amount of broadening of the top and narrowing of the bottom of the polygon (relative
to its orientation). Floating point values between −1 and +1 are suggested. This attribute is ignored by
builtin_polygons.
skew=f sets the amount of right-displacement of the top and left-displacement of the bottom of the polygon
(relative to its orientation). Floating point values between −1 and +1 are suggested. This attribute is
ignored by builtin_polygons.
href="url" sets the url for the node in imagemap, PostScript and SVG files. The substrings ’N’ and ’G’
are substituted in the same manner as for the node label attribute. Additionally the substring ’L’ is substi-
tuted with the node label string.
URL="url" ("URL" is a synonym for "href".)
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5. DOT(1) DOT(1)
target="target" is a target string for client-side imagemaps and SVG, effective when nodes have a URL.
The target string is used to determine which window of the browser is used for the URL. Setting it to
"_graphviz" will open a new window if it doesn’t already exist, or reuse it if it does. If the target string is
empty, the default, then no target attribute is included in the output. The substrings ’N’ and ’G’ are substi-
tuted in the same manner as for the node label attribute. Additionally the substring ’L’ is substituted with
the node label string.
tooltip="tooltip" is a tooltip string for client-side imagemaps and SVG, effective when nodes have a URL.
The tooltip string defaults to be the same as the label string, but this attribute permits nodes without labels
to still have tooltips thus permitting denser graphs. The substrings ’N’ and ’G’ are substituted in the same
manner as for the node label attribute. Additionally the substring ’L’ is substituted with the node label
string.
(circo-specific attributes)
root=true/false. This specifies that the block containing the given node be treated as the root of the span-
ning tree in the layout.
(fdp-specific attributes)
pin=val. If val is "true", the node will remain at its initial position.
EDGE ATTRIBUTES
minlen=n where n is an integer factor that applies to the edge length (ranks for normal edges, or minimum
node separation for flat edges).
weight=n where n is the integer cost of the edge. Values greater than 1 tend to shorten the edge. Weight 0
flat edges are ignored for ordering nodes.
label=text where text may include escaped newlines n, l, or r for centered, left, or right justified lines. If
the substring ’T’ is found in a label it will be replaced by the tail_node name. If the substring ’H’ is found
in a label it will be replaced by the head_node name. If the substring ’E’ value is found in a label it will be
replaced by: tail_node_name−>head_node_name If the substring ’G’ is found in a label it will be replaced
by the graph name. or by: tail_node_name−−head_node_name for undirected graphs.
fontsize=n sets the label type size to n points.
fontname=name sets the label font family name.
fontcolor=colorvalue sets the label text color.
style=solid dashed dotted bold invis
color=colorvalue sets the line color for edges.
color=colorvaluelist a ’:’ separated list of colorvalue creates parallel edges, one edge for each color.
dir=forward back both none controls arrow direction.
tailclip,headclip=false disables endpoint shape clipping.
href="url" sets the url for the node in imagemap, PostScript and SVG files. The substrings ’T’, ’H’, ’E’
and ’G’ are substituted in the same manner as for the edge label attribute. Additionally the substring ’L’ is
substituted with the edge label string.
URL="url" ("URL" is a synonym for "href".)
target="target" is a target string for client-side imagemaps and SVG, effective when edges have a URL. If
the target string is empty, the default, then no target attribute is included in the output. The substrings ’T’,
’H’, ’E’ and ’G’ are substituted in the same manner as for the edge label attribute. Additionally the sub-
string ’L’ is substituted with the edge label string.
tooltip="tooltip" is a tooltip string for client-side imagemaps effective when edges have a URL. The
tooltip string defaults to be the same as the edge label string. The substrings ’T’, ’H’, ’E’ and ’G’ are
23 August 2004 5
6. DOT(1) DOT(1)
substituted in the same manner as for the edge label attribute. Additionally the substring ’L’ is substituted
with the edge label string.
arrowhead,arrowtail=none, normal, inv, dot, odot, invdot, invodot, tee, empty, invempty, open, hal-
fopen, diamond, odiamond, box, obox, crow.
arrowsize (norm_length=10,norm_width=5, inv_length=6,inv_width=7,dot_radius=2)
headlabel,taillabel=string for port labels. labelfontcolor,labelfontname,labelfontsize for head and tail
labels. The substrings ’T’, ’H’, ’E’ and ’G’ are substituted in the same manner as for the edge label
attribute. Additionally the substring ’L’ is substituted with the edge label string.
headhref="url" sets the url for the head port in imagemap, PostScript and SVG files. The substrings ’T’,
’H’, ’E’ and ’G’ are substituted in the same manner as for the edge label attribute. Additionally the sub-
string ’L’ is substituted with the edge label string.
headURL="url" ("headURL" is a synonym for "headhref".)
headtarget="headtarget" is a target string for client-side imagemaps and SVG, effective when edge heads
have a URL. The headtarget string is used to determine which window of the browser is used for the URL.
If the headtarget string is empty, the default, then headtarget defaults to the same value as target for the
edge. The substrings ’T’, ’H’, ’E’ and ’G’ are substituted in the same manner as for the edge label
attribute. Additionally the substring ’L’ is substituted with the edge label string.
headtooltip="tooltip" is a tooltip string for client-side imagemaps effective when head ports have a URL.
The tooltip string defaults to be the same as the headlabel string. The substrings ’T’, ’H’, and ’E’ are
substituted in the same manner as for the edge label attribute. Additionally the substring ’L’ is substituted
with the edge label string.
tailhref="url" sets the url for the tail port in imagemap, PostScript and SVG files. The substrings ’T’,
’H’, ’E’ and ’G’ are substituted in the same manner as for the edge label attribute. Additionally the sub-
string ’L’ is substituted with the edge label string.
tailURL="url" ("tailURL" is a synonym for "tailhref".)
tailtarget="tailtarget" is a target string for client-side imagemaps and SVG, effective when edge tails have
a URL. The tailtarget string is used to determine which window of the browser is used for the URL. If the
tailtarget string is empty, the default, then tailtarget defaults to the same value as target for the edge. The
substrings ’T’, ’H’, ’E’ and ’G’ are substituted in the same manner as for the edge label attribute. Addi-
tionally the substring ’L’ is substituted with the edge label string.
tailtooltip="tooltip" is a tooltip string for client-side imagemaps effective when tail ports have a URL. The
tooltip string defaults to be the same as the taillabel string. The substrings ’T’, ’H’, ’E’ and ’G’ are sub-
stituted in the same manner as for the edge label attribute. Additionally the substring ’L’ is substituted
with the edge label string.
labeldistance and port_label_distance set distance; also labelangle (in degrees CCW)
decorate draws line from edge to label.
samehead,sametail aim edges having the same value to the same port, using the average landing point.
constraint=false causes an edge to be ignored for rank assignment.
layer=id or id:id or "all" sets the edge’s active layers. The empty string means no layers (invisible).
(neato-specific attributes)
w=f sets the weight (spring constant) of an edge to the given floating point value. The default is 1.0; greater
values make the edge tend more toward its optimal length.
len=f sets the optimal length of an edge. The default is 1.0.
(fdp-specific attributes)
weight=f sets the weight of an edge to the given floating point value. The default is 1.0; greater values
make the edge tend more toward its optimal length.
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7. DOT(1) DOT(1)
COMMAND LINE OPTIONS
−G sets a default graph attribute.
−N sets a default node attribute.
−E sets a default edge attribute. Example: −Gsize="7,8" −Nshape=box −Efontsize=8
−lfile loads custom PostScript library files. Usually these define custom shapes or styles. If −l is given by
itself, the standard library is omitted.
−Tlang sets the output language as described above.
−n[1|2] (no-op) If set, neato assumes nodes have already been positioned and all nodes have a pos attribute
giving the positions. It then performs an optional adjustment to remove node-node overlap, depending on
the value of the overlap attribute, computes the edge layouts, depending on the value of the splines
attribute, and emits the graph in the appropriate format. If num is supplied, the following actions occur:
num = 1
Equivalent to −n.
num > 1
Use node positions as specified, with no adjustment to remove node-node overlaps, and use any edge lay-
outs already specified by the pos attribute. neato computes an edge layout for any edge that does not have a
pos attribute. As usual, edge layout is guided by the splines attribute.
−v (verbose) prints delta energy every 100th iteration.
−V (version) prints version information and exits.
−? prints the usage and exits.
EXAMPLES
digraph test123 {
a −> b −> c;
a −> {x y};
b [shape=box];
c [label="hello nworld",color=blue,fontsize=24,
fontname="Palatino−Italic",fontcolor=red,style=filled];
a −> z [label="hi", weight=100];
x −> z [label="multi−line nlabel"];
edge [style=dashed,color=red];
b −> x;
{rank=same; b x}
}
graph test123 {
a −− b −− c;
a −− {x y};
x −− c [w=10.0];
x −− y [w=5.0,len=3];
}
CAVEATS
Edge splines can overlap unintentionally.
Flat edge labels are slightly broken. Intercluster edge labels are totally broken.
Because unconstrained optimization is employed, node boxes can possibly overlap or touch unrelated
edges. All existing spring embedders seem to have this limitation.
Apparently reasonable attempts to pin nodes or adjust edge lengths and weights can cause instability.
AUTHORS
Stephen C. North <north@research.att.com>
Emden R. Gansner <erg@research.att.com>
23 August 2004 7
8. DOT(1) DOT(1)
John C. Ellson <ellson@research.att.com>
The bitmap driver (PNG, GIF etc) is by Thomas Boutell, <http://www.boutell.com/gd>
The Truetype font renderer is from the Freetype Project (David Turner, Robert Wilhelm, and Werner Lem-
berg) (who can be contacted at freetype−devel@lists.lrz−muenchen.de).
SEE ALSO
This man page contains only a small amount of the information related to the Graphviz layout programs.
The most complete information can be found at http://www.graphviz.org/Documentation.php, especially in
the on-line reference pages. Most of these documents are also available in the doc and doc/info subtrees in
the source and binary distributions.
dotty(1)
tcldot(n)
xcolors(1)
libgraph(3)
E. R. Gansner, S. C. North, K. P. Vo, "DAG - A Program to Draw Directed Graphs", Software - Practice
and Experience 17(1), 1988, pp. 1047-1062.
E. R. Gansner, E. Koutsofios, S. C. North, K. P. Vo, "A Technique for Drawing Directed Graphs," IEEE
Trans. on Soft. Eng. 19(3), 1993, pp. 214-230.
S. North and E. Koutsofios, "Applications of graph visualization", Graphics Interface 94, pp. 234-245.
E. Koutsofios and S. C. North, "Drawing Graphs with dot," Available on research.att.com in
dist/drawdag/dotguide.ps.Z.
S. C. North, "NEATO User’s Manual". Available on research.att.com in dist/drawdag/neatodoc.ps.Z.
23 August 2004 8