Shall I file a bug report? Or is this fairly easy to fix? Mark
On Fri, Aug 10, 2012 at 11:41 AM, <josef.pktd@gmail.com> wrote:
On Fri, Aug 10, 2012 at 10:00 AM, Travis Oliphant <travis@continuum.io wrote:
On Aug 10, 2012, at 5:37 AM, Paul Anton Letnes wrote:
On 10. aug. 2012, at 09:54, Mark Bakker wrote:
I am giving this a second try. Can anybody help me out?
I think there is a problem with assigning a 1D complex array of
length
one
to a position in another complex array.
Example:
a = ones(1,'D') b = ones(1,'D') a[0] = b
TypeError Traceback (most recent call last) <ipython-input-37-0c4fc6d780e3> in <module>() ----> 1 a[0] = b
TypeError: can't convert complex to float
This works correctly when a and b are real arrays:
a = ones(1) b = ones(1) a[0] = b
Bug or feature?
The exact same thing happens on OS X 10.7.4, python 2.7.3, numpy 1.6.1.
Looks like a bug to me - or at least very surprising behavior.
This is definitely an inconsistency. The error seems more correct (though the error message needs improvement).
Can someone try this on NumPy 1.5 and see if this inconsistency existed there as well.
np.__version__ '1.5.1'
a = np.ones(1,'D') b = np.ones(1,'D') a[0] = b Traceback (most recent call last): File "<stdin>", line 1, in <module>
TypeError: can't convert complex to float
a = np.ones(1) b = np.ones(1) a[0] = b
and
a = np.ones(1,'D') b = 2*np.ones(1) a[0] = b a array([ 2.+0.j]) c = 3*np.ones(1, int) a[0] = c a array([ 3.+0.j])
Josef
Thanks,
-Travis
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