default_rng#

scikitplot.random.default_rng(seed=None, bit_width=None)#

Create default KISS random number generator.

This is the recommended way to create an RNG, matching numpy.random.default_rng() signature.

Parameters:

seed{None, int, KissSeedSequence, KissBitGenerator, KissGenerator, KissRandomState}, optional: Random seed or generator

Returns:

KissGenerator: Initialized bit generator ready for use
bit_widthint, default=64: Generator bit width

Raises:

ValueError: If bit_width not in {32, 64}

See also

Kiss32Random: 32-bit version for smaller datasets
Kiss64Random: 64-bit version for larger datasets
KissRandom: Factory function for auto-detecting
KissSeedSequence: Seed sequence for initialization
KissBitGenerator: NumPy-compatible bit generator
KissGenerator: High-level generator using this BitGenerator
KissRandomState: Inherites from KissGenerator

Notes

This is the recommended entry point for most users. Compatible with numpy.random.default_rng() interface.

Examples

>>> from scikitplot.random import default_rng
>>>
>>> rng = default_rng(42)
>>> rng.random(5)
>>> rng.integers(0, 100, 10)
>>> rng.normal(0, 1, 1000)
>>>
>>> # Context manager
>>> with default_rng(42) as rng:
...     data = rng.random(1000)
>>>
>>> # Serialization
>>> import pickle
>>> restored = pickle.loads(pickle.dumps(rng))

Gallery examples#

Enhanced KISS Random Generator - Complete Usage Examples

default_rng#

Gallery examples#

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