Graph-Theory | weighted graph , along with finding the shortest path

by nishantc1527 Python Version: Current License: MIT

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kandi X-RAY | Graph-Theory Summary

Graph-Theory is a Python library typically used in User Interface, Example Codes applications. Graph-Theory has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However Graph-Theory build file is not available. You can download it from GitHub.

Implementation of a directed and weighted graph, along with finding the shortest path in a directed graph using breadth first search, and finding the shortest path in a weighted graph with Dikstra and Bellman Ford algorithms.

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Graph-Theory has a low active ecosystem.

It has 42 star(s) with 6 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

Graph-Theory has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Graph-Theory is current.

Quality

Graph-Theory has 0 bugs and 0 code smells.

Security

Graph-Theory has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Graph-Theory code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Graph-Theory is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

Graph-Theory releases are not available. You will need to build from source code and install.

Graph-Theory has no build file. You will be need to create the build yourself to build the component from source.

Graph-Theory saves you 303 person hours of effort in developing the same functionality from scratch.

It has 730 lines of code, 71 functions and 15 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed Graph-Theory and discovered the below as its top functions. This is intended to give you an instant insight into Graph-Theory implemented functionality, and help decide if they suit your requirements.

Prints the shortest path between source and target
Optimized algorithm for shortest path
Optimizes the shortest path using Bellman s algorithm
Print the shortest path from source to target
Calculates the shortest shortest path from a weighted graph
Print a directed graph in depth - first search
Print in depth first search
Prints the shortest path between source and target to target
Computes the shortest shortest path from source vertex to target vertex
Prints the graph in breadth - first search
Add a vertex to the graph
Connect two vertices
Connect two values

Get all kandi verified functions for this library.

Graph-Theory Key Features

No Key Features are available at this moment for Graph-Theory.

Graph-Theory Examples and Code Snippets

No Code Snippets are available at this moment for Graph-Theory.

Community Discussions

Trending Discussions on Graph-Theory

Generating graphs for given degree sequence in Python or R

QUESTION

Generating graphs for given degree sequence in Python or R

Asked 2019-Aug-08 at 14:01

I am trying to learn if in Python or R, there exist within the graph-theory related modules features that would enable one to start from a degree distribution (or expressed as a sequence once we set the number of vertices), and generate (random) graphs that satisfy the prescribed degree sequence.

As an example, we might be given the following distribution: p=(0.179,0.49,0.34) which are the probabilities of degree values 1,2 and 3 respectively. So we can set the number of vertices, n=500, map p to a degree sequence deseq list: filled with 0.179*n times of 1, and so on for the rest.

Any pointers towards previously discussed cases for such problems or library suggestions would be very helpful.

...

ANSWER

Answered 2019-Aug-07 at 01:54

I don't know how much have you already researched on the topic but there is a pretty wellknown package in R and module in Python called igraph. It might have what you seek for.

Source https://stackoverflow.com/questions/57373559

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Graph-Theory

You can download it from GitHub.
You can use Graph-Theory like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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