5/09/09 @ 11:22 (-0600), thus spake Mark Wendell:
For example:
Say that C is a simple python class with a couple attributes and methods.
a = np.empty( (5,5), dtype=object)
for i in range(5):
for j in range(5):
a[i,j] = C(var1,var2)
First question: is there a quicker
Mark Wendell skrev:
for i in range(5):
for j in range(5):
a[i,j].myMethod(var3,var4)
print a[i,j].attribute1
Again, is there a quicker way than above to call myMethod or access attribute1
One option is to look up the name of the method unbound, and then use
built-in
On 9/6/2009 8:33 AM, Sturla Molden wrote:
map( cls.myMethod, a )
is similar to:
[aa.myMethod() for aa in a]
http://article.gmane.org/gmane.comp.python.general/630847
fwiw,
Alan Isaac
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Alan G Isaac skrev:
http://article.gmane.org/gmane.comp.python.general/630847
Yes, but here you still have to look up the name 'f' from locals in each
iteration. map is written in C, once it has as PyObject* to the callable
it does not need to look up the name anymore. The dictionary
When I create an array with a dtype=object, and instance a custom
python class to each array member, have I foregone any opportunity to
call methods or get/set attributes on those instances with any of
numpy's 'group' operations? In other words, it seems like once I've
got a custom object as an
