Rmagic | Rmagic -- a cell magic | Data Manipulation library

 by   jonathan-taylor Python Version: Current License: Non-SPDX

kandi X-RAY | Rmagic Summary

kandi X-RAY | Rmagic Summary

Rmagic is a Python library typically used in Utilities, Data Manipulation, Numpy applications. Rmagic has no bugs, it has no vulnerabilities and it has low support. However Rmagic build file is not available and it has a Non-SPDX License. You can download it from GitHub.

Rmagic -- a cell magic for the python notebook using R code with python
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              Rmagic has a low active ecosystem.
              It has 9 star(s) with 3 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              Rmagic has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Rmagic is current.

            kandi-Quality Quality

              Rmagic has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              Rmagic has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              Rmagic releases are not available. You will need to build from source code and install.
              Rmagic has no build file. You will be need to create the build yourself to build the component from source.
              It has 177 lines of code, 15 functions and 3 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Rmagic and discovered the below as its top functions. This is intended to give you an instant insight into Rmagic implemented functionality, and help decide if they suit your requirements.
            • Cell magic
            • Evaluate a line
            • Flush the output
            • Execute cell magic
            • Return the text as a string
            • Process a single line
            Get all kandi verified functions for this library.

            Rmagic Key Features

            No Key Features are available at this moment for Rmagic.

            Rmagic Examples and Code Snippets

            No Code Snippets are available at this moment for Rmagic.

            Community Discussions

            QUESTION

            Error when using pandas dataframe in R cell, in rpy2, Jupyter Notebook
            Asked 2020-Feb-12 at 22:38

            I want to use ggplot2 within Jupyter Notebook. However, when I try to make an R magic cell and introduce a variable, I get an error.

            Here is the code (one paragraph indicates one cell):

            ...

            ANSWER

            Answered 2020-Feb-12 at 22:38

            The problem is most likely with one (or more) columns having more than one type - therefore it is impossible to transfer the data into an R vector (which can hold only one data type). The traceback may be overwhelming, but here is the relevant part:

            Source https://stackoverflow.com/questions/60197294

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

            Vulnerabilities

            No vulnerabilities reported

            Install Rmagic

            You can download it from GitHub.
            You can use Rmagic 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://github.com/jonathan-taylor/Rmagic.git

          • CLI

            gh repo clone jonathan-taylor/Rmagic

          • sshUrl

            git@github.com:jonathan-taylor/Rmagic.git

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