cellpylib | A library for working with Cellular Automata , for Python

by lantunes Python Version: 2.4.0 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | cellpylib Summary

cellpylib is a Python library. cellpylib has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install cellpylib' or download it from GitHub, PyPI.

A library for working with Cellular Automata, for Python.

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cellpylib has a low active ecosystem.

It has 185 star(s) with 25 fork(s). There are 7 watchers for this library.

It had no major release in the last 12 months.

There are 5 open issues and 19 have been closed. On average issues are closed in 37 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of cellpylib is 2.4.0

Quality

cellpylib has 0 bugs and 0 code smells.

Security

cellpylib has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

cellpylib code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

cellpylib is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

cellpylib releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

cellpylib saves you 805 person hours of effort in developing the same functionality from scratch.

It has 4217 lines of code, 288 functions and 52 files.

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

Top functions reviewed by kandi - BETA

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

Evaluate the cellular automaton
Calculate the stride of an array
Evaluate a fixed transition matrix
Evaluate a dynamic cell
Calculate the average mutual information for a cellular automaton
Shannon Entropy
Computes the joint Shannon entropy of two strings
Computes the mutual information between two strings
Evolve a given time period
Calculate the rule
Return the result of a function
Evaluate a 2D network
Compute the Shannon divergence of a given string
Calculate the binary derivative of a string
Compute the Kolbien Entropy
Computes the binary derivative of the binary operator
Plot a 2D slice
Add grid lines to matplotlib
Plot a 2D image
Plot a 2d image
Computes the Shannon distribution of a string
Calculate the average cell entropy
Train the model
Add a grain

Get all kandi verified functions for this library.

cellpylib Key Features

No Key Features are available at this moment for cellpylib.

cellpylib Examples and Code Snippets

No Code Snippets are available at this moment for cellpylib.

Community Discussions

Trending Discussions on cellpylib

Exporting a cellular automaton data to csv in Python

QUESTION

Exporting a cellular automaton data to csv in Python

Asked 2019-Apr-28 at 00:53

I've been working in Reaction-Diffusion cellular automata with the cellpylib library for a course in my university (I wrote it all in one script so you don't have to install/download anything). I'd like to save the evolution of the automata data to a csv file to run some statistics. That is, I'd like to save the data in columns where the first column is 'number of "1"' and the second column: 'time steps'.

Thus, I need help in:

(1) Creating a variable that saves the amount of '1' per time step (I think so).

(2) I need to export all that data to a csv file (number of "1" and the corresponding iteration, from 1 to time_steps in the code below).

The code is the following.

...

ANSWER

Answered 2019-Apr-28 at 00:53

I am not well-experienced in this subject matter (and I was not fully clear on what you intended for me to do). I went through and implemented the counting of the specific "0", "1", "2" and "3" value cells in "evolve2d" function. This code should be viewed as "starter code"; whatever specifically you are trying to do should piggyback off of what I have given you. Additionally, this task could have been accomplished through some better code design and definitely, better planning of your function locations (as part of better coding practice and overall cleaner code that is easy to debug). Please peruse and UNDERSTAND the changes that I made.

Source https://stackoverflow.com/questions/55885685

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

Vulnerabilities

No vulnerabilities reported

Install cellpylib

CellPyLib can be installed via pip:. Requirements for using this library are Python 3.5.3, numpy 1.14.0, and matplotlib 2.0.2.

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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