npx

library0.1.8pypypiunverified

npx provides some useful extensions for NumPy, such as broadcasting functions, softmax, and block diagonals. Current version 0.1.8 follows a stable release schedule. Requires Python 3.10+.

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pip install npx

github ↗homepage ↗

INSTALL

IMPORT

SIG · NPX

npx

analyticspythonv0.1.8

harness data pending

Install & Compatibility

Where this runs

No compatibility data collected yet for this library.

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

softmax

✓ from npx import softmax

✗ from npx import softmax

Compute softmax and block diagonal using npx.

import numpy as np from npx import softmax, block_diag # Softmax along axis arr = np.array([[1.0, 2.0], [3.0, 4.0]]) print(softmax(arr, axis=1)) # Block diagonal matrix matrices = [np.array([[1, 2], [3, 4]]), np.array([[5]])] print(block_diag(matrices))

Debug

Known issues

deprecatedsoftmax from npx is deprecated; use scipy.special.softmax or custom implementation.

fix

Replace with scipy.special.softmax or a manual implementation.

affects: >=0.1.0

gotchablock_diag requires a list of arrays; passing mismatched shapes raises ValueError.

fix

Ensure all input arrays have compatible dimensions for concatenation.

affects: >=0.1.0

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Version history

0.1.8latest on PyPI · released Apr 30, 2026

Audit

Dependencies

numpyrequiredCore dependency for array operations

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Resources

githubhttps://github.com/sigma-py/npx ↗

homepagehttps://github.com/sigma-py/npx ↗