gffpandas | Parse GFF3 into Pandas dataframes

 by   foerstner-lab Python Version: 1.2.0 License: ISC

kandi X-RAY | gffpandas Summary

kandi X-RAY | gffpandas Summary

gffpandas is a Python library. gffpandas 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 gffpandas' or download it from GitHub, PyPI.

Parse GFF3 into Pandas dataframes
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            kandi-support Support

              gffpandas has a low active ecosystem.
              It has 20 star(s) with 9 fork(s). There are 5 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 9 open issues and 3 have been closed. On average issues are closed in 38 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of gffpandas is 1.2.0

            kandi-Quality Quality

              gffpandas has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              gffpandas is licensed under the ISC License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              gffpandas 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.
              It has 1175 lines of code, 69 functions and 10 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed gffpandas and discovered the below as its top functions. This is intended to give you an instant insight into gffpandas implemented functionality, and help decide if they suit your requirements.
            • Updates the deploy password
            • Prepend a line to a file
            • Load yaml config file
            • Save configuration to file
            • Write the table to a tsv file
            • Write the results to a xsv file
            • Write the results to a CSV file
            • Returns a Gff3DataFrame with the given attribute
            • Convert attributes to column names
            • Encrypt a password
            • Load a PEM encoded public key
            • Fetch the public key for a given repo
            Get all kandi verified functions for this library.

            gffpandas Key Features

            No Key Features are available at this moment for gffpandas.

            gffpandas Examples and Code Snippets

            No Code Snippets are available at this moment for gffpandas.

            Community Discussions

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

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

            Vulnerabilities

            No vulnerabilities reported

            Install gffpandas

            You can install using 'pip install gffpandas' or download it from GitHub, PyPI.
            You can use gffpandas 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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            Install
          • PyPI

            pip install gffpandas

          • CLONE
          • HTTPS

            https://github.com/foerstner-lab/gffpandas.git

          • CLI

            gh repo clone foerstner-lab/gffpandas

          • sshUrl

            git@github.com:foerstner-lab/gffpandas.git

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