Metadata-Version: 2.1
Name: npx
Version: 0.0.2
Summary: Some useful extensions for NumPy
Home-page: https://github.com/nschloe/npx
Author: Nico Schlömer
Author-email: nico.schloemer@gmail.com
License: MIT
Project-URL: Code, https://github.com/nschloe/npx
Project-URL: Issues, https://github.com/nschloe/npx/issues
Project-URL: Funding, https://github.com/sponsors/nschloe
Description: # npx
        
        [![PyPi Version](https://img.shields.io/pypi/v/npx.svg?style=flat-square)](https://pypi.org/project/npx)
        [![PyPI pyversions](https://img.shields.io/pypi/pyversions/npx.svg?style=flat-square)](https://pypi.org/pypi/npx/)
        [![GitHub stars](https://img.shields.io/github/stars/nschloe/npx.svg?style=flat-square&logo=github&label=Stars&logoColor=white)](https://github.com/nschloe/npx)
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        [![gh-actions](https://img.shields.io/github/workflow/status/nschloe/npx/ci?style=flat-square)](https://github.com/nschloe/npx/actions?query=workflow%3Aci)
        [![codecov](https://img.shields.io/codecov/c/github/nschloe/npx.svg?style=flat-square)](https://codecov.io/gh/nschloe/npx)
        [![LGTM](https://img.shields.io/lgtm/grade/python/github/nschloe/npx.svg?style=flat-square)](https://lgtm.com/projects/g/nschloe/npx)
        [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg?style=flat-square)](https://github.com/psf/black)
        
        [NumPy](https://numpy.org/) is a large library used everywhere in scientific computing.
        That's why breaking backwards-compatibility is comes as a significant cost and is almost
        always avoided, even if the API of some methods is arguably confusing. This package
        provides drop-in wrappers "fixing" those.
        
        If you have a fix for a NumPy method that can't go upstream for some reason, feel free
        to PR here.
        
        * ```python
          npx.dot(a, b)
          ```
          Forms the dot product between the last axis of `a` and the _first_ axis of `b`.
        
          (Not the second-last axis of `b` as `numpy.dot(a, b)`.)
        
        * ```python
          npx.solve(A, b)
          ```
          Solves a linear equation system with a matrix of shape `(n, n)` and an array of shape
          `(n, ...)`. The output has the same shape as the second argument.
        
        * ```python
          npx.sum_at(a, idx, minlength: int = 0)
          npx.add_at(out, idx, a)
          ```
          Returns an array with entries of `a` summed up at indices `idx` with a minumum length
          of `minlength`. `idx` can have any shape as long as it's matching `a`. The output
          shape is `(minlength,...)`.
        
          The numpy equivalent `numpy.add.at` is _much_
          slower:
        
          <img alt="memory usage" src="https://nschloe.github.io/npx/perf-add-at.svg" width="50%">
        
          (See also [this numpy bug](https://github.com/numpy/numpy/issues/11156).)
        
        * ```python
          npx.unique_rows(a, return_inverse=False, return_counts=False)
          ```
          Returns the unique rows of the array `a`. The numpy alternative `np.unique(a, axis=0)`
          [is slow](https://github.com/numpy/numpy/issues/11136).
        
        ### License
        npx is published under the [MIT license](https://en.wikipedia.org/wiki/MIT_License).
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Utilities
Requires-Python: >=3.6
Description-Content-Type: text/markdown
