core.common.random_state is too strict for state input

[TomAugspurger]

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

pandas/pandas/core/common.py

Lines 409 to 410 in 54c5e9e

	if is_integer(state):
	return np.random.RandomState(state)

.

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)
<ipython-input-4-4f97e41a5899> in <module>
----> 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

[xcz011]

take