core.common.random_state is too strict for state input · Issue #32503 · pandas-dev/pandas (original) (raw)

The numpy RandomState seed can be an int, array-like, or BitGenerator

seed : {None, int, array_like, BitGenerator}, optional Random seed used to initialize the pseudo-random number generator or an instantized BitGenerator. If an integer or array, used as a seed for the MT19937 BitGenerator. Values can be any integer between 0 and 2**32 - 1 inclusive, an array (or other sequence) of such integers, or None (the default). If seed is None, then the MT19937 BitGenerator is initialized by reading data from /dev/urandom (or the Windows analogue) if available or seed from the clock otherwise.

Right now, we only pass through integers. Arrays (and BitGenerators if possible) should be passed through to RandomState at

.

Current Behavior

In [1]: import pandas as pd

In [2]: import numpy as np

In [3]: state_data = np.random.randint(0, 2**31, size=624, dtype='uint32')

In [4]: pd.core.common.random_state(state_data)

ValueError Traceback (most recent call last) in ----> 1 pd.core.common.random_state(state_data)

~/sandbox/pandas/pandas/core/common.py in random_state(state) 415 else: 416 raise ValueError( --> 417 "random_state must be an integer, a numpy RandomState, or None" 418 ) 419

ValueError: random_state must be an integer, a numpy RandomState, or None

Expected Output

Out[4]: RandomState(MT19937) at 0x115B16050