nptyping | 💡 Type hints for Numpy and Pandas | Data Manipulation library

by ramonhagenaars Python Version: 2.5.0 License: MIT

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

kandi X-RAY | nptyping Summary

nptyping is a Python library typically used in Utilities, Data Manipulation, Numpy, Pandas applications. nptyping 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 nptyping' or download it from GitHub, PyPI.

Type hints for Numpy!.

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Security

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Support

nptyping has a low active ecosystem.

It has 446 star(s) with 20 fork(s). There are 3 watchers for this library.

It had no major release in the last 12 months.

There are 17 open issues and 48 have been closed. On average issues are closed in 265 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of nptyping is 2.5.0

Quality

nptyping has 0 bugs and 0 code smells.

Security

nptyping has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

nptyping code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

nptyping is licensed under the MIT License. This license is Permissive.

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

Reuse

nptyping releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

It has 1389 lines of code, 191 functions and 37 files.

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

Top functions reviewed by kandi - BETA

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

Get a dtype from a dtype
Check type name
Return the list of known types
Checks the type names in the structure
Return the shape and dtype of an item
Get the shape and dtype from a tuple
Check the item
Get the shape of the given dtype
Format context
Sort tasks
Black tasks
Autoflake tests
Prepare additional values for the given item
Extract dimensions from a shape expression
Removes labels from a list
Install pip dependencies
Returns the installed python versions
Unittest tests
Destroy the virtual environment
Update the constraints txt file
Print coverage
Creates a virtual environment
Install Slackware dependencies
Tests documentation

Get all kandi verified functions for this library.

nptyping Key Features

No Key Features are available at this moment for nptyping.

nptyping Examples and Code Snippets

No Code Snippets are available at this moment for nptyping.

Community Discussions

Trending Discussions on nptyping

Numpy Typehint with nptyping and Array in PyCharm

QUESTION

Numpy Typehint with nptyping and Array in PyCharm

Asked 2020-Apr-22 at 21:54

I try to use numpy with nptyping's Array to do my typehinting.

I tried the following:

...

ANSWER

Answered 2020-Jan-14 at 08:10

nptyping is currently useless for static analysis. Quoting a post by the library's developer on its issue tracker,

mypy is just not supported by nptyping (yet)

I wouldn't put much hope in that "yet". NumPy's dtype and shape handling is very hard to fit into the typing/mypy static type model, and nptyping's own design decisions are a poor fit for NumPy itself. For example, it doesn't look like the dev ever considered arrays that aren't 2D, so Array[str, 3] represents a 2D array with 3 rows and unspecified columns instead of a 3-element 1D array. All the implementation is in terms of rows and columns, too.

As far as I can tell, the only real functionality nptyping has is isinstance checks, and even that's buggy.

Source https://stackoverflow.com/questions/59179493

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

Vulnerabilities

No vulnerabilities reported

Install nptyping

You can install using 'pip install nptyping' or download it from GitHub, PyPI.
You can use nptyping 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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