[NumPy-Tickets] [NumPy] #1758: Assiging to structured array rows with list/array fails

[NumPy Trac]

#1758: Assiging to structured array rows with list/array fails
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 Reporter:  rgommers    |       Owner:  somebody   
     Type:  defect      |      Status:  new        
 Priority:  normal      |   Milestone:  Unscheduled
Component:  numpy.core  |     Version:  devel      
 Keywords:              |  
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 Assigning to a structured array with a tuple works, with a list results in
 an error. Would be good if this could be made to work (this is an
 enhancement request). With an array gives no warning or exception, but
 results in garbage. This is a bug.

 See also
 http://thread.gmane.org/gmane.comp.python.numeric.general/30793/focus=30793

 {{{
 >>> arr = np.zeros((5,), dtype=[('var1','f8'),('var2','f8')])
 >>> arr['var1'] = np.arange(5)
 >>> arr
 array([(0.0, 0.0), (1.0, 0.0), (2.0, 0.0), (3.0, 0.0), (4.0, 0.0)],
       dtype=[('var1', '<f8'), ('var2', '<f8')])
 >>> arr[0] = (10,20)
 >>> arr
 array([(10.0, 20.0), (1.0, 0.0), (2.0, 0.0), (3.0, 0.0), (4.0, 0.0)],
       dtype=[('var1', '<f8'), ('var2', '<f8')])
 >>> arr[0] = np.array([10,20])
 >>> arr
 array([(4.2439915824246103e-313, 0.0), (1.0, 0.0), (2.0, 0.0), (3.0, 0.0),
        (4.0, 0.0)],
       dtype=[('var1', '<f8'), ('var2', '<f8')])
 }}}
 If this is fixed, please update doc/structured_arrays.py (section "Filling
 structured arrays").

-- 
Ticket URL: <http://projects.scipy.org/numpy/ticket/1758>
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