ipython-magic | IPython Magic Functions | Data Manipulation library

by cjdrake Python Version: Current License: BSD-2-Clause

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | ipython-magic Summary

ipython-magic is a Python library typically used in Utilities, Data Manipulation, Numpy applications. ipython-magic has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has high support. You can download it from GitHub.

IPython Magic Functions

Support

Quality

Security

License

Reuse

Support

ipython-magic has a highly active ecosystem.

It has 16 star(s) with 7 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 2 have been closed. On average issues are closed in 3 days. There are no pull requests.

It has a negative sentiment in the developer community.

The latest version of ipython-magic is current.

Quality

ipython-magic has 0 bugs and 0 code smells.

Security

ipython-magic has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

ipython-magic code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ipython-magic is licensed under the BSD-2-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

ipython-magic 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.

ipython-magic saves you 58 person hours of effort in developing the same functionality from scratch.

It has 152 lines of code, 31 functions and 2 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed ipython-magic and discovered the below as its top functions. This is intended to give you an instant insight into ipython-magic implemented functionality, and help decide if they suit your requirements.

Run graphviz command .
Load an IPython extension .
Unload the IPython extension .

Get all kandi verified functions for this library.

ipython-magic Key Features

No Key Features are available at this moment for ipython-magic.

ipython-magic Examples and Code Snippets

No Code Snippets are available at this moment for ipython-magic.

Community Discussions

Trending Discussions on ipython-magic

How to plot (inline) with rpy2 in Jupyter notebook?

QUESTION

How to plot (inline) with rpy2 in Jupyter notebook?

Asked 2019-Nov-26 at 10:38

I'm learning to use rpy2 in Jupyter notebook. I'm having troubles with the plotting. When I use this example from the rpy2 docs for interactive work:

...

ANSWER

Answered 2017-May-18 at 11:55

It seems that this is the answer to your question: https://bitbucket.org/rpy2/rpy2/issues/330/ipython-plotting-wrapper

Source https://stackoverflow.com/questions/43110228

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

Vulnerabilities

No vulnerabilities reported

Install ipython-magic

You can download it from GitHub.
You can use ipython-magic 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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