bug in comparing object arrays to None (?)
Hi Numpy folks.
I just noticed that comparing an array of type 'object' to None does not behave as I expected. Is this a feature or a bug? (I can take a stab at fixing it if it's a bug, as I believe it is).
np.version.full_version
'1.8.0'
a = np.array(['Frank', None, 'Nancy'])
a
array(['Frank', None, 'Nancy'], dtype=object)
a == 'Frank'
array([ True, False, False], dtype=bool) # Return value is an array
a == None
False # Return value is scalar (BUG?)
On Mon, Jan 27, 2014 at 3:43 PM, Charles G. Waldman charles@crunch.iowrote:
Hi Numpy folks.
I just noticed that comparing an array of type 'object' to None does not behave as I expected. Is this a feature or a bug? (I can take a stab at fixing it if it's a bug, as I believe it is).
np.version.full_version
'1.8.0'
a = np.array(['Frank', None, 'Nancy'])
a
array(['Frank', None, 'Nancy'], dtype=object)
a == 'Frank'
array([ True, False, False], dtype=bool) # Return value is an array
a == None
False # Return value is scalar (BUG?)
Looks like a fix is in progress: https://github.com/numpy/numpy/pull/3514
Warren
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participants (2)
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Charles G. Waldman -
Warren Weckesser