Ryan May wrote:
> Eric Firing wrote:
>> [EMAIL PROTECTED] wrote:
>>> Revision: 6385
>>>
>>> http://matplotlib.svn.sourceforge.net/matplotlib/?rev=6385&view=rev
>>> Author: ryanmay
>>> Date: 2008-11-10 18:59:18 +0000 (Mon, 10 Nov 2008)
>>>
>>> Log Message:
>>> -----------
>>> Make iterable() and is_string_like() return True/False instead of 1/0.
>> Agreed--good cleanup.
>>
>> A larger problem is that if you index out an element from a numpy array
>> of strings, it is a numpy string array scalar, and it is not recognized
>> by is_string_like. I have a fix for that (not committed), but it
>> causes breakage elsewhere. All this is an example of the perils of
>> duck-typing; it has its advantages, but also its pitfalls.
>
> What's your fix, and, more importantly, what breakage does it cause?
> I've added a fix locally to just check to see if the string is an
> instance of np.string_. It works, along with a few other things, to fix
> the scatter() problem. I was just getting ready to start running this
> stuff by the list...
The fix is:
def is_string_like(obj):
"""
Return True if *obj* looks like a string
Such objects should include Python strings, unicode
strings, and numpy string array scalars.
"""
#if hasattr(obj, 'shape'): return 0
# I think the above is a legacy of Numeric...
try:
if str(obj) + '' == obj:
return True
except (TypeError, ValueError):
return False
return True
I am not even sure if the above is the fix we want, but having numpy
string array elements fail "is_string_like" seems like a fundamentally
bad thing.
Breakage is in font dictionary handling.
I don't have the whole problem solved, and I need to move on to other
things right now.
Eric
>
> Ryan
>
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