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Direct way to access Numpy RandomState object

Is there a more direct way to access the object RandomState

created on import other than np.random.<some function>.__self__

? Both np.random._rand

and getattr(np.random, "_rand")

improve AttributeError

. The first works fine, but doesn't seem very transparent / Pythonic, although the most transparent might just be creating a separate object RandomState

. The goal is to pass a variable interal_state

to the cython function that calls the randomkit functions directly.

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2 answers


You can use np.random.get_state()

to access the random state and np.random.set_state()

to set it.

Usage example:

>>> import numpy as np
>>> state = np.random.get_state()
>>> np.random.rand()
0.5951085367670415
>>> np.random.set_state(state)
>>> np.random.rand()
0.5951085367670415


Note that state

- this is just a tuple

>>> state
('MT19937', array([3133054952,  999208925, 1226199620, ..., 3991712371,  943990344,
    955790602], dtype=uint32), 624, 0, 0.0)
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Found an answer thanks to kazemakase: _rand is directly available, I just need to import mtrand. But there __self__

could be more future proof if the syntax doesn't change.



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