bipy | Bipartite webs analysis using python | Machine Learning library

by tpoisot Python Version: Current License: No License

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

kandi X-RAY | bipy Summary

bipy is a Python library typically used in Artificial Intelligence, Machine Learning, Numpy applications. bipy has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

bipy is a collection of python scripts to analyze and visualize two-mode (bipartite) networks, mostly aimed at ecological datasets. bipy is released under the terms of the GNU GPL. Author : Timothee Poisot timothee.poisot@uqar.ca Language : Python 2.7 (although not tested, might work under 2.6) Requires : numpy, scipy, pyx, tempfile, urllib, networkx.

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bipy has a low active ecosystem.

It has 8 star(s) with 1 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 10 have been closed. On average issues are closed in 32 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of bipy is current.

Quality

bipy has no bugs reported.

Security

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

License

bipy does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

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

Top functions reviewed by kandi - BETA

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

Calculate the stochastics
Compute the NODF value
Calculate NSContrib - contrib
Generate null contrib
Read a web site from a remote URL
Read a network from a text file
Compute the generality of a weight matrix
Fixes a matrix of species
Open an ONN file
Create a WW instance from a file
Opens a bipartite
Generate a plot of the web modules
Multiply a list of vectors
Compute the sensitivity score for each fit
Calculates the PSD of a function
Compute Shannon s entropy
Computes the significance of a vector
Calculate the Connectance
R Compute the rank of a weight matrix
Plot a basis matrix
Load a bipartite matrix from a numpy array

Get all kandi verified functions for this library.

bipy Key Features

No Key Features are available at this moment for bipy.

bipy Examples and Code Snippets

No Code Snippets are available at this moment for bipy.

Community Discussions

Trending Discussions on bipy

Python: Relative imports

QUESTION

Python: Relative imports

Asked 2021-May-14 at 10:08

I'm trying to use a package that has the following structure:

The file prova.py contains only the following line:

...

ANSWER

Answered 2021-May-14 at 10:08

It looks like you're using this: https://github.com/tpoisot/bipy and that prova.py is your addition (it would be nice if you include this kind of information in your question in future questions!)

The problem is that bipartite_class is not a free-standing module, but is a part of the package bipy. That means you need to import it from outside the package. You need to move prova.py one directory up, to bipy-master, and change its contents to:

Source https://stackoverflow.com/questions/67532203

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

Vulnerabilities

No vulnerabilities reported

Install bipy

You can download it from GitHub.
You can use bipy 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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