Pierre GM-2 wrote:
>
> As a workwaround, perhaps you could use np.object instead of np.str
> while defining your array. You can then get the maximum string length
> by looping, as David suggested, and then use .astype to transform your
> array...
>
I tried this:
np.rec.fromrecords([(1,'hello'),(2,'world')],dtype=[('a',np.int8),('b',np.object_)])
but I get a TypeError:
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
/Users/tom/<ipython console> in <module>()
/Users/tom/Library/Python/2.6/site-packages/numpy/core/records.pyc in
fromrecords(recList, dtype, shape, formats, names, titles, aligned,
byteorder)
625 res = retval.view(recarray)
626
--> 627 res.dtype = sb.dtype((record, res.dtype))
628 return res
629
/Users/tom/Library/Python/2.6/site-packages/numpy/core/records.pyc in
__setattr__(self, attr, val)
432 if attr not in fielddict:
433 exctype, value = sys.exc_info()[:2]
--> 434 raise exctype, value
435 else:
436 fielddict =
ndarray.__getattribute__(self,'dtype').fields or {}
TypeError: Cannot change data-type for object array.
Is this a bug?
Thanks,
Thomas
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