ipycytoscape | A Cytoscape Jupyter widget | Data Visualization library

 by   cytoscape Python Version: 1.3.3 License: BSD-3-Clause

kandi X-RAY | ipycytoscape Summary

kandi X-RAY | ipycytoscape Summary

ipycytoscape is a Python library typically used in Analytics, Data Visualization, Jupyter applications. ipycytoscape 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 'npm i jupyter-cytoscape' or download it from GitHub, npm.

A widget enabling interactive graph visualization with cytoscape.js in JupyterLab and the Jupyter notebook. Try it out using binder: or install and try out the examples.
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            kandi-support Support

              ipycytoscape has a low active ecosystem.
              It has 230 star(s) with 59 fork(s). There are 31 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 59 open issues and 99 have been closed. On average issues are closed in 83 days. There are 14 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of ipycytoscape is 1.3.3

            kandi-Quality Quality

              ipycytoscape has 0 bugs and 0 code smells.

            kandi-Security Security

              ipycytoscape has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              ipycytoscape code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              ipycytoscape is licensed under the BSD-3-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              ipycytoscape releases are available to install and integrate.
              Deployable package is available in npm.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              It has 1399 lines of code, 67 functions and 24 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed ipycytoscape and discovered the below as its top functions. This is intended to give you an instant insight into ipycytoscape implemented functionality, and help decide if they suit your requirements.
            • Add a graph from Neo4j
            • Adds edges to the graph
            • Adds nodes to the graph
            • Set object attributes
            • Adds a graph from a DataFrame
            • Send out layout
            Get all kandi verified functions for this library.

            ipycytoscape Key Features

            No Key Features are available at this moment for ipycytoscape.

            ipycytoscape Examples and Code Snippets

            No Code Snippets are available at this moment for ipycytoscape.

            Community Discussions

            QUESTION

            Rendering a graph as a tree
            Asked 2021-Mar-29 at 15:23

            I am using ipyvuetify and Ipycytoscape to create a dashboard rendered with voila.

            I need to create graph data structures as this one:

            This structure IS NOT rendered with ipycytoscape.

            Does anyone knows which layout should I use to avoid that ipycytoscape just random places the nodes and ensure that the parents are always on top of the children.

            Thanks

            ...

            ANSWER

            Answered 2021-Mar-29 at 15:23

            Did you try the dagre layout? It was supposed to achive this kind of result out of the box :)

            Source https://stackoverflow.com/questions/66351266

            QUESTION

            ipycytoscape & networkx interchange of objects
            Asked 2020-Nov-17 at 16:55

            From the ipycytoscape documentation I can see the following:

            ...

            ANSWER

            Answered 2020-Nov-17 at 16:55

            From: https://networkx.org/documentation/stable/tutorial.html#what-to-use-as-nodes-and-edges

            You might notice that nodes and edges are not specified as NetworkX objects. This leaves you free to use meaningful items as nodes and edges. The most common choices are numbers or strings, but a node can be any hashable object (except None), and an edge can be associated with any object x using G.add_edge(n1, n2, object=x).

            So this isn't specific to ipycytoscape, you can use any custom object as a Node for networkx. Like so:

            Source https://stackoverflow.com/questions/64862902

            QUESTION

            Plot a graph with ipycytoscape, problems with number of nodes
            Asked 2020-Aug-25 at 09:23

            I am trying to visualize a graph using ipycytoscape and I got so far:

            ...

            ANSWER

            Answered 2020-Aug-25 at 09:23

            This seems like a bug. Sorry I missed your question, I'll be more activate on stackoverflow from now on. If you're still interested please open an issue on: https://github.com/QuantStack/ipycytoscape/ Or join the chat: https://gitter.im/QuantStack/Lobby I'll be happy to help! Maybe the error won't even be reproducible anymore since we're moving kind of fast with the API.

            Source https://stackoverflow.com/questions/62272225

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

            Vulnerabilities

            No vulnerabilities reported

            Install ipycytoscape

            You can install the Pandas dependencies for ipycytoscape with pip:.
            You can install the neo4j dependencies for ipycytoscape with pip:.
            This will run npm install and npm run build. This command will also install the test suite and the docs locally:.

            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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            Install
          • PyPI

            pip install ipycytoscape

          • CLONE
          • HTTPS

            https://github.com/cytoscape/ipycytoscape.git

          • CLI

            gh repo clone cytoscape/ipycytoscape

          • sshUrl

            git@github.com:cytoscape/ipycytoscape.git

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