Pre-release
This release is a pre-release and may not be stable for production use.
Numpy Extension
This Python package extends the functionality of numpy by introducing additional methods for data manipulation, and a specialized format for reading and writing numpy arrays.
Features
- Read
NDArrayin Need with Keys: Using a key to load the required array without load all. - Array Mapping and Transformation Functions: Functions to apply operations across arrays, adjust their ranges, and produce linearly spaced values with specific properties.
Installation
pip install numgear
Usage
Transformation Functions
- apply_from_axis: Apply a function to slices of an array along a specified axis.
- map_range: Transform elements in an array to a specified range.
- map_ranges: Transform elements in an array to multiple specified ranges based on conditions.
- linspace_at: Generate linearly spaced numbers for given indices.
- linspace_cumprod_at: Generate a cumulative product series for linearly spaced values at specific indices.
Save and Load Utilities
- savek: Save multiple numpy arrays to a custom binary format
.npk. - loadk: Load arrays from a
.npkfile and read in need for easy access.
Metadata
Release files for numgear 0.0.1b2.post1.dev0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| numgear-0.0.1b2.post1.dev0.tar.gz | 7.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| numgear-0.0.1b2.post1.dev0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 14.8 kB
Release files / numgear-0.0.1b2.post1.dev0.tar.gz
| Download URL | numgear-0.0.1b2.post1.dev0.tar.gz |
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Release files / numgear-0.0.1b2.post1.dev0-py3-none-any.whl
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| Tags | Python 3 |
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