d3py | a plottling library for python , based on D3

 by   mikedewar Python Version: Current License: No License

kandi X-RAY | d3py Summary

kandi X-RAY | d3py Summary

d3py is a Python library. d3py has no bugs, it has no vulnerabilities, it has build file available and it has medium support. You can download it from GitHub.

This is d3py: a plotting library for python based on d3. The aim of d3py is to provide a simple way to plot data from the command line or simple scripts into a browser window. d3py accomplishes this by building on two excellent packages. The first is d3.js (Mike Bostock), which is a javascript library for creating data driven documents, which allows us to place arbitrary svg into a browser window. The second is the pandas Python module (Wes Mckinney), which blesses Python with (amongst other things) the DataFrame data structure. The idioms used to plot data are very simple, and borrow from R’s [ggplot2] (Hadley Wickham) and Python’s [matplotlib] (John Hunter et al).
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              d3py has a medium active ecosystem.
              It has 1400 star(s) with 212 fork(s). There are 93 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 47 open issues and 17 have been closed. On average issues are closed in 412 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of d3py is current.

            kandi-Quality Quality

              d3py has 0 bugs and 0 code smells.

            kandi-Security Security

              d3py has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              d3py code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              d3py does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

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              d3py 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.
              Installation instructions are not available. Examples and code snippets are available.
              d3py saves you 606 person hours of effort in developing the same functionality from scratch.
              It has 1412 lines of code, 139 functions and 34 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed d3py and discovered the below as its top functions. This is intended to give you an instant insight into d3py implemented functionality, and help decide if they suit your requirements.
            • Write the data to a JSON file
            • Set table data
            • Update a component
            • Build the vega projection
            • Handle GET request
            • Send a HEAD request
            • List directory listing
            • Builds components
            • Updates the visualization
            • Serializes data into JSON
            • Update multiple components
            • Do a HEAD command
            Get all kandi verified functions for this library.

            d3py Key Features

            No Key Features are available at this moment for d3py.

            d3py Examples and Code Snippets

            default
            Jupyter Notebookdot img1Lines of Code : 4dot img1License : Permissive (MIT)
            copy iconCopy
            [info]
            user:xxxxxxx
            passwd:xxxxx
            
            python manage.py runserver 0.0.0.0:8000
              

            Community Discussions

            No Community Discussions are available at this moment for d3py.Refer to stack overflow page for discussions.

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

            Vulnerabilities

            No vulnerabilities reported

            Install d3py

            You can download it from GitHub.
            You can use d3py 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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          • HTTPS

            https://github.com/mikedewar/d3py.git

          • CLI

            gh repo clone mikedewar/d3py

          • sshUrl

            git@github.com:mikedewar/d3py.git

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