if a masked array is created and has no masked values it can have a mask of
just "False" scalar false that is.
This causes an error when getting the max or min on axis=1
I don't have a fix but do offer a workaround.
If you reset the mask to the "expanded"mask all works ok (but it's a bug that
pops up all over my code)
Below "a" and "m1" work but "m5" only works on axis = 0. anyway you can look
at: (see http://www.openvest.com/trac/wiki/MaskedArrayMinMax if the
formatting doesn't survive the mail posting process)
#################################
>>> import numpy as np
>>> a = np.array([np.arange(5)])
>>> a
array([[0, 1, 2, 3, 4]])
>>> m1 = np.ma.masked_values(a,1)
>>> m5 = np.ma.masked_values(a,5)
>>> m1
masked_array(data =
[[0 -- 2 3 4]],
mask =
[[False True False False False]],
fill_value = 1)
>>> m5
masked_array(data =
[[0 1 2 3 4]],
mask =
False,
fill_value = 5)
>>> a.min(axis=0)
array([0, 1, 2, 3, 4])
>>> m5.min(axis=0)
masked_array(data = [0 1 2 3 4],
mask = False,
fill_value = 999999)
>>> m1.min(axis=0)
masked_array(data = [0 -- 2 3 4],
mask = [False True False False False],
fill_value = 999999)
>>> a.min(axis=1)
array([0])
>>> m1.min(axis=1)
masked_array(data = [0],
mask = [False],
fill_value = 999999)
>>> m5.min(axis=1)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/Library/Python/2.6/site-packages/numpy/ma/core.py", line 5020, in min
newmask = _mask.all(axis=axis)
ValueError: axis(=1) out of bounds
### workaround
>>> m5.mask = np.ma.getmaskarray(m5)
>>> m1.min(axis=1)
masked_array(data = [0],
mask = [False],
fill_value = 999999)
--
Philip J. Cooper (CFA)_______________________________________________
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