plotly-graph | Create interactive network graph visualizations | Data Visualization library

 by   Ashton-Sidhu Python Version: 0.5.0 License: MIT

kandi X-RAY | plotly-graph Summary

kandi X-RAY | plotly-graph Summary

plotly-graph is a Python library typically used in Analytics, Data Visualization applications. plotly-graph has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However plotly-graph build file is not available. You can install using 'pip install plotly-graph' or download it from GitHub, PyPI.

Interactive Graph Visualization (igviz) is a library to help visualize graphs interactively using Plotly. This library provides a customizable api for visualizing graphs in a neat, visually appealing plot. It keeps larger graphs much more clean by displaying minimal text information and highlights node properties and relationships using colour and size while providing the same text information when needed.
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              plotly-graph has a low active ecosystem.
              It has 31 star(s) with 6 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 2 open issues and 5 have been closed. On average issues are closed in 76 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of plotly-graph is 0.5.0

            kandi-Quality Quality

              plotly-graph has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              plotly-graph is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              plotly-graph releases are available to install and integrate.
              Deployable package is available in PyPI.
              plotly-graph has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed plotly-graph and discovered the below as its top functions. This is intended to give you an instant insight into plotly-graph implemented functionality, and help decide if they suit your requirements.
            • Plot a graph .
            • Generate Scatter trace .
            • Generate a figure .
            • Apply layout .
            Get all kandi verified functions for this library.

            plotly-graph Key Features

            No Key Features are available at this moment for plotly-graph.

            plotly-graph Examples and Code Snippets

            Interactive Graph Visualization,Usage,Configurations
            Pythondot img1Lines of Code : 82dot img1License : Permissive (MIT)
            copy iconCopy
            ig.plot(
                G, # Your graph
                title="My Graph",
                size_method="static", # Makes node sizes the same
                color_method="##ffcccb", # Makes all the node colours black,
                node_text=["prop"], # Adds the 'prop' property to the hover text of the node  
            Interactive Graph Visualization,Usage,Basic
            Pythondot img2Lines of Code : 8dot img2License : Permissive (MIT)
            copy iconCopy
            import networkx as nx
            import igviz as ig
            
            G = nx.random_geometric_graph(200, 0.125)
            nx.set_node_attributes(G, 3, "prop")
            nx.set_edge_attributes(G, 5, "edge_prop")
            
            ig.plot(G)
              
            Checks the extensions for the given unit .
            javadot img3Lines of Code : 21dot img3License : Non-SPDX
            copy iconCopy
            private static void checkExtensionsForUnit(Unit unit) {
                final var logger = LoggerFactory.getLogger(App.class);
            
                var name = unit.getName();
                Function func = (e) -> () -> logger.info(name + " without " + e);
            
                var extension = "Soldi  
            Registers all extensions .
            javadot img4Lines of Code : 5dot img4License : Permissive (MIT License)
            copy iconCopy
            public static void registerAllExtensions(
                        com.google.protobuf.ExtensionRegistry registry) {
                    registerAllExtensions(
                            (com.google.protobuf.ExtensionRegistryLite) registry);
                }  
            Returns the extensions .
            javadot img5Lines of Code : 4dot img5License : Permissive (MIT License)
            copy iconCopy
            @Override
                public Map getExtensions() {
                    return error.getExtensions();
                }  

            Community Discussions

            QUESTION

            How to format plotly legend when using marker color?
            Asked 2021-Dec-15 at 11:57

            I want to follow up on this post: Plotly: How to colorcode plotly graph objects bar chart using Python?.

            When using plotly express, and specifying 'color', the legend is correctly produced as seen in the post by vestland.

            This is my plotly express code:

            ...

            ANSWER

            Answered 2021-Dec-15 at 11:57

            This really comes down to understanding what a high level API (plotly express) does. When you specify color in px if it is categorical it creates a trace per value of categorical. Hence the below two ways of creating a figure are mostly equivalent. The legend shows an item for each trace, not for each color.

            Source https://stackoverflow.com/questions/70347594

            QUESTION

            How to select a boxplot color in Plotly for individual plots along the x axis?
            Asked 2021-Aug-19 at 16:57

            I currently have a BoxPlot created in Plotly Express, as seen below

            which uses the code:

            ...

            ANSWER

            Answered 2021-Aug-19 at 16:57
            • have simulated your data frame
            • this works as you require where there are NaNs in issuer.operator.name
            • simulated a NaN, then get same error. Resolved by dropna()

            Source https://stackoverflow.com/questions/68849684

            QUESTION

            Plotly Uncaught TypeError: Cannot read property 'key' of undefined at HTMLCanvasElement
            Asked 2021-Mar-19 at 19:48

            I have generated a scatter matrix using px.scatter_matrix()

            ...

            ANSWER

            Answered 2021-Mar-17 at 07:02

            I'd say skip the Chrome step and output it with plotly.

            Source https://stackoverflow.com/questions/66598736

            QUESTION

            Plotly express not showing plots in PyCharm SciView
            Asked 2021-Jan-29 at 12:49

            I'm trying to render a Plotly graph in PyCharm's SciView-Plots panel (using PyCharm Professional 2020.3).

            A simplified version of what I'm running is:

            ...

            ANSWER

            Answered 2021-Jan-29 at 12:49

            Sciview will support matplotlib.pyplot.show, therefore you can export to png, then display the png using matplotlib.pyplot.show

            Source https://stackoverflow.com/questions/65635169

            QUESTION

            Embedding a div generated by Plotly in HTML
            Asked 2020-Apr-28 at 09:52

            I'm using Flask and Plotly to create some interactive graphics and wanted to embed it in an HTML file. This post provides a good way to do that (I'm following the second answer). I ran into an issue when embedding the generated div into HTML.

            The div is successfully generated. If I print it, it will show up in an HTML structure, which looks like below:

            ...

            ANSWER

            Answered 2020-Apr-28 at 09:52

            Change the jinja code {{graph|safe}}

            Why it works? When you pass on html to jinja code, it escapes the html code and shows it as a text.

            So you need to mark it as safe so that jinja will actually show the html or render the html code. So whenever you want to render the html code in jinja use |safe

            Source https://stackoverflow.com/questions/61474153

            QUESTION

            Python - Scatter mode error for plotly library
            Asked 2020-Mar-18 at 14:57

            I'm using VS Code with Jupyter notebook extension. The function call below is generating an error

            ...

            ANSWER

            Answered 2020-Mar-18 at 14:57
            1. Line 9: I changed it from 'line' to 'lines'
            2. compiled project_helper.py
            3. closed workspace in VS Studio
            4. Exited VS Studio
            5. Reopened VS Studio
            6. Voila !!

            2, 3 and 4 were the key steps!!

            Source https://stackoverflow.com/questions/60706848

            QUESTION

            How to sort plotly stacked bar graph in r by y value?
            Asked 2020-Feb-20 at 00:38

            I've got this graph and I want it to appear in Sam - Jhon - Paul order because that's going from highest to lowest cost, somebody could tell me how to order it by cost? Tried using code below in layout section but it didn't word.

            ...

            ANSWER

            Answered 2020-Feb-20 at 00:38

            You are almost there. You just need to use the order of top_3$parent in your categoryarray instead of cost, as follows:

            Source https://stackoverflow.com/questions/60310790

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

            Vulnerabilities

            No vulnerabilities reported

            Install plotly-graph

            You can install using 'pip install plotly-graph' or download it from GitHub, PyPI.
            You can use plotly-graph 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

            I appreciate any feedback so if you have any feature requests or issues make an issue with the appropriate tag or futhermore, send me an email at ashton.sidhu1994@gmail.com.
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
            CLONE
          • HTTPS

            https://github.com/Ashton-Sidhu/plotly-graph.git

          • CLI

            gh repo clone Ashton-Sidhu/plotly-graph

          • sshUrl

            git@github.com:Ashton-Sidhu/plotly-graph.git

          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link