python-infix | An experiment to use infix operators in Python | Machine Learning library

by borntyping Python Version: Current License: No License

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kandi X-RAY | python-infix Summary

python-infix is a Python library typically used in Artificial Intelligence, Machine Learning, Numpy, Jupyter, Pandas applications. python-infix has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can install using 'pip install python-infix' or download it from GitHub, PyPI.

An experiment to use infix operators in Python

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python-infix has a low active ecosystem.

It has 46 star(s) with 8 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 4 have been closed. On average issues are closed in 172 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of python-infix is current.

Quality

python-infix has 0 bugs and 0 code smells.

Security

python-infix has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

python-infix code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

python-infix does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

python-infix 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.

python-infix saves you 42 person hours of effort in developing the same functionality from scratch.

It has 111 lines of code, 16 functions and 2 files.

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

Top functions reviewed by kandi - BETA

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

Create an infix operator
Returns the name of the name for the given operation
Lname for a given operation
Creates a custom infix
Make an infix operator

Get all kandi verified functions for this library.

python-infix Key Features

No Key Features are available at this moment for python-infix.

python-infix Examples and Code Snippets

No Code Snippets are available at this moment for python-infix.

Community Discussions

Trending Discussions on python-infix

How can I create a chain pipeline?

QUESTION

How can I create a chain pipeline?

Asked 2017-Nov-24 at 17:07

I would like to create a simply chain pipeline, I found this simple example:

...

ANSWER

Answered 2017-Nov-24 at 17:01

Well, I can think of a solution but there is a caveat: your original function must not take a second positional argument that is a pandas dataframe (keyword arguments are ok). Lets ditch the __call__ and add a __new__ method to our PipeInto class inside the decorator. This new constructor tests if the first argument is a dataframe, and if it is then we just call the original function with the arguments:

Source https://stackoverflow.com/questions/47474704

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

Vulnerabilities

No vulnerabilities reported

Install python-infix

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