On Thursday, January 30, 2014 5:14:57 PM UTC-5, Peter Otten wrote: > Hint: > > >>> def demo(): > ... fake_data = ['n/a', 'n/a', 'n/a', 'n/a', '[omitted]', '12'] > ... fake_result = not all(i == '[omitted]' for i in fake_data) > ... print 'This is fake result: ', fake_result > > >>> demo() > This is fake result: True > > >>> from numpy import all > >>> demo() > This is fake result: False
That's brilliant, thanks! Now I'm just a bit unsure of what to do about it. First, I don't actually have the line "from numpy import all" in that module's code, although I have imports of numpy; I think it is getting brought in through Matplotlib's pylab module, which I do import in that module. In any case, what's the most Pythonic way to deal with this? My first thought was to create the old all function and rename it so there would be no conflict: (both of what follows taken from answers here: http://stackoverflow.com/questions/18774388/re-import-aliased-shadowed-python-built-in-methods) builtin_all = __builtins__.all but I got the error: AttributeError: 'dict' object has no attribute 'all' So I wound up doing this: from __builtin__ import * which fixed the problem...but seems less than optimal, because what if I wanted to have numpy's all still in play? Again, thanks for restoring my faith in causality, Che M -- https://mail.python.org/mailman/listinfo/python-list
