Hi all,
Should we document character arrays? Does anybody still use them?
I think their behaviour can largely be duplicated by object arrays.
They also seem to be broken:
>>> x = np.array(['1', '2', '3', '4']).view(np.chararray)
>>> x*3
chararray(['111', '222', '333', '444'],
dtype='|S4')
All good, but:
>>> x = np.array(['12', '34', '56', '78']).view(np.chararray)
>>> x * 3
chararray(['1212', '3434', '5656', '7878'],
dtype='|S4')
Whereas with object arrays:
>>> np.array(['12', '34', '56', '78'], dtype=object) * 3
array([121212, 343434, 565656, 787878], dtype=object)
Similaryly:
>>> x.rjust(3)
chararray([' a', ' b', ' c', ' d'],
dtype='|S3')
>>> x = np.array(['a','b','c','d']).view(np.chararray)
>>> x.rjust(3)
chararray([' a', ' b', ' c', ' d'],
dtype='|S3')
But then
>>> x = np.array([['ab','cd'], ['ef','gh']]).view(np.chararray)
>>> x.rjust(5) # BOOM
Cheers
Stéfan
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