argmin of an empty sequence throws an exception, which I think is a
good thing:
np.argmin([])
---------------------------------------------------------------------------
ValueError
But not for a masked array:
n [24]: u = np.arange (10)
In [25]: v = np.ma.array (u, mask=np.ones(10))
In [26]: v
Out[26]:
masked_array(data=[--, --, --, --, --, --, --, --, --, --],
mask=[ True, True, True, True, True, True, True, True,
True, True],
fill_value=999999,
dtype=int64)
In [28]: np.argmin(v)
Out[28]: 0
This is error prone and inconsistent.
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