[Numpy-discussion] bug in numpy.apply_along_axis: numpy.__version__ '1.0.3.1'
Sean Ross-Ross
srossross@gmail....
Sat Nov 17 02:37:25 CST 2007
Hi, I think I have found a bug in the function "apply_along_axis".
recall that the function definition if apply_along_axis(func1d, axis,
arr, *args)
This bug occurs if func1d returns a python object without a __len__
attribute and is not a scalar, determined by
numpy.core.numeric.isscalar.
eg. a self contained example of the bug is:
>>> from numpy import array, apply_along_axis
>>>
>>> # works
>>> arr = array( [1,1] )
>>> apply_along_axis( lambda arr:arr[0], 0, arr )
>>>
>>> # however this raises a type error
>>> class Foo(object): pass
>>>
>>> arr = array( [ Foo(), Foo() ] )
>>> apply_along_axis( lambda arr:arr[0], 0, arr )
------------------------------------------------------------------------
---
exceptions.TypeError Traceback (most
recent call last)
/sw/lib/python2.4/site-packages/numpy/lib/shape_base.py in
apply_along_axis(func1d, axis, arr, *args)
52 holdshape = outshape
53 outshape = list(arr.shape)
---> 54 outshape[axis] = len(res)
55 outarr = zeros(outshape,asarray(res).dtype)
56 outarr[tuple(i.tolist())] = res
TypeError: len() of unsized object
>>>
Thanks
~Sean
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