graphio | Bulk loading of large data sets into Neo4j | Data Visualization library

 by   kaiserpreusse Python Version: 0.9.3 License: Apache-2.0

kandi X-RAY | graphio Summary

kandi X-RAY | graphio Summary

graphio is a Python library typically used in Analytics, Data Visualization, Neo4j applications. graphio 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 graphio' or download it from GitHub, PyPI.

A Python library to bulk load data to Neo4j. Built by Kaiser & Preusse.
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            kandi-support Support

              graphio has a low active ecosystem.
              It has 21 star(s) with 5 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 0 open issues and 3 have been closed. On average issues are closed in 131 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of graphio is 0.9.3

            kandi-Quality Quality

              graphio has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              graphio 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.

            kandi-Reuse Reuse

              graphio 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.

            Top functions reviewed by kandi - BETA

            kandi has reviewed graphio and discovered the below as its top functions. This is intended to give you an instant insight into graphio implemented functionality, and help decide if they suit your requirements.
            • Create a NodeSet instance from a csv file
            • Yield relationships between start node and end nodes
            • Remove prefix from keys
            • Read relationships from a csv file
            • Create a RelationshipSet from a graph
            • Create a unwind statement
            • Run a query
            • Splits an iterable into chunks
            • Write all properties in the graph to a csv file
            • Return all node properties
            • Return all properties in the node set
            • Return the name of the object file
            • Create a relationship from a relationship dictionary
            • Convert a list into a tuple
            • Serialize the object to a JSON file
            • Convert to a dictionary
            • Create a NodeSet from the given graph
            • Create a new set of nodes
            • Add a node to the graph
            • Return the merge key id for a node
            • Add a new relationship
            • Serialize the object to a JSON object
            • Returns RelationshipSet objects
            • List of NodeSet objects
            • Return a ModelNode instance
            • Create a node from a dict
            Get all kandi verified functions for this library.

            graphio Key Features

            No Key Features are available at this moment for graphio.

            graphio Examples and Code Snippets

            No Code Snippets are available at this moment for graphio.

            Community Discussions

            QUESTION

            Why does LightGraphs.betweenness_centrality() run so long
            Asked 2021-Feb-19 at 19:58

            When I try to calculate the betweenness_centrality() of my SimpleWeightedGraph with julia's LightGraphs package it runs indefinitely. It keeps on increasing it's RAM usage until at some point it crashes without an error message. Is the something wrong with my graph? Or what would be the best way to find the cause of this problem?

            My graphs are not generated by LightGraphs but by another library, FlashWeave. I'm don't know if that matters...

            The problem does not occur for unweighted SimpleGraph's or for the weighted graph I created in LightGraphs...

            ...

            ANSWER

            Answered 2021-Feb-19 at 19:58

            Did you check if your graph contains negative weights? LightGraphs.betweenness_centrality() uses Dijkstra's shortest paths to calculate betweenness centrality, and thus expect non-negative weights.

            LightGraphs.betweenness_centrality() doesn't check for illegal/nonsensical graphs. That's why it didn't throw an error. The issue is already reported here, but for now, check your own graphs if your not sure they are legal.

            Source https://stackoverflow.com/questions/66257489

            QUESTION

            How to remove self-loops in Lightgraphs
            Asked 2021-Jan-10 at 13:09

            I am new to Julia and LightGraphs and I have been trying to find the most efficient way of detecting and removing self-loops. So far, the only way I have found is to iterate over all nodes in the Simplegraph, check whether it has a self-loop, and remove them. Is there any better way like using this combination in Python NetworkX: G.remove_edges_from(G.selfloop_edges())?

            The way I am doing it right now:

            ...

            ANSWER

            Answered 2021-Jan-08 at 16:01

            that's probably the best way to do it conditionally, but you can just call rem_edge!(G, node, node) without the has_edge() check - it returns a bool indicating whether the edge was removed so is safe to use if there's not an actual edge there.

            Source https://stackoverflow.com/questions/65629641

            QUESTION

            Error while using LightGraphs to load a graph (xml.gz) in Julia
            Asked 2020-Oct-11 at 14:02

            I am trying to load a network in the format xml.gz in Julia by using GraphIO. The code is the following:

            ...

            ANSWER

            Answered 2020-Oct-11 at 14:02

            There seems to be something wrong with decompression - I can't tell you why but I could also reproduce with other zipped graphs.

            Consider unzipping the graph (with gzip on linux for example):

            Source https://stackoverflow.com/questions/64303011

            QUESTION

            Java: how to parse a file to get edges for generating graph
            Asked 2020-May-21 at 23:53

            I'm having trouble reading data from file. Currently I'm adding edges inside the program, which generates a graph based on lists of edges. However, I want my program to read edges from a file to create a graph (read a .txt file line by line)

            The .txt file would look something like this:

            ...

            ANSWER

            Answered 2020-May-21 at 23:53

            EDIT: I added a List this time and called addEdge correctly this time. Sorry I ignored the method signature last time.

            In your while loop, when you read a new line, you can add an edge right there, after the parsing the numbers from the read line:

            Source https://stackoverflow.com/questions/61943150

            QUESTION

            Can't restore tensorflow variables
            Asked 2019-Jul-24 at 16:43

            I have a class as follows and the load function returns me the tensorflow saved graph.

            ...

            ANSWER

            Answered 2019-Jul-24 at 16:43

            As long as you have created all the necessary variables in your file and given them the same "name" (and of course the shape needs to be correct as well), restore will load all the appropriate values into the appropriate variables. Here you can find a toy example showing you how this can be done.

            Source https://stackoverflow.com/questions/57186654

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

            Vulnerabilities

            No vulnerabilities reported

            Install graphio

            Install graphio from PyPI:.

            Support

            Docs available at: https://graphio.readthedocs.io/. Tutorial with real data: https://graphdb-bio.com/graphio-tutorial-idmapping.
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            Install
          • PyPI

            pip install graphio

          • CLONE
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            https://github.com/kaiserpreusse/graphio.git

          • CLI

            gh repo clone kaiserpreusse/graphio

          • sshUrl

            git@github.com:kaiserpreusse/graphio.git

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