[Numpy-discussion] Indexing structured masked arrays with multidimensional fields; what with fill_value?
Hello,
usually, a masked array's .fill_value attribute has ndim=0 and the
same dtype as the data attribute:
In [27]: ar = array((0, [[0.0, 0.0, 0.0], [0.0, 0.0, 0.0]], 0.0),
dtype="int, (2,3)float, float")
In [28]: arm = ma.masked_array(ar)
In [29]: arm.fill_value.ndim
Out[29]: 0
In [31]: arm.fill_value.dtype
Out[31]: dtype([('f0', 'https://github.com/numpy/numpy/issues/6723
What should numpy do instead? In pull request 6728, I propose to
change the behaviour so that arm["f1"].fill_value is set to
arm.fill_value["f1"].flat[0]. This is an arbitrary and somewhat
ad-hoc solution. If I have chosen to set arm.fill_value["f1"] to
something else, such as array([[1., 2., 3.], [4., 5., 6.]]), then the
rest of my fill_value is lost. I don't know if this might lead to
problems. Does it matter? See also
http://stackoverflow.com/questions/33921579/what-practical-impact-if-any-does-the-fill-value-of-a-masked-array-have
.
regards,
Gerrit.
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