I\'m a looking to initialize an array/list of objects that are not empty -- the class constructor generates data. In C++ and Java I would do something like this:
There isn't a way to implicitly call an Object()
constructor for each element of an array like there is in C++ (recall that in Java, each element of a new array is initialised to null
for reference types).
I would say that your list comprehension method is the most Pythonic:
lst = [Object() for i in range(100)]
If you don't want to step on the lexical variable i
, then a convention in Python is to use _
for a dummy variable whose value doesn't matter:
lst = [Object() for _ in range(100)]
For an equivalent of the similar construct in Java, you can of course use *
:
lst = [None] * 100
I think the list comprehension is the simplest way, but, if you don't like it, it's obviously not the only way to obtain what you desire -- calling a given callable 100 times with no arguments to form the 100 items of a new list. For example, itertools
can obviously do it:
>>> import itertools as it
>>> lst = list(it.starmap(Object, it.repeat((), 100)))
or, if you're really a traditionalist, map
and apply
:
>>> lst = map(apply, 100*[Object], 100*[()])
Note that this is essentially the same (tiny, both conceptually and actually;-) amount of work it would take if, instead of needing to be called without arguments, Object
needed to be called with one argument -- or, say, if Object
was in fact a function rather than a type.
From your surprise that it might take "as much as a list comprehension" to perform this task, you appear to think that every language should special-case the need to perform "calls to a type, without arguments" over other kinds of calls to over callables, but I fail to see what's so crucial and special about this very specific case, to warrant treating it differently from all others; and, as a consequence, I'm pretty happy, personally, that Python doesn't single this one case out for peculiar and weird treatment, but handles just as regularly and easily as any other similar use case!-)
You should note that Python's equvalent for Java code (creating array of 100 null references to Object):
Object arr = new Object[100];
or C++ code:
Object **arr = new Object*[100];
is:
arr = [None]*100
not:
arr = [Object() for _ in range(100)]
The second would be the same as Java's:
Object arr = new Object[100];
for (int i = 0; i < arr.lenght; i++) {
arr[i] = new Object();
}
In fact Python's capabilities to initialize complex data structures are far better then Java's.
Note: C++ code:
Object *arr = new Object[100];
would have to do as much work as Python's list comprehension:
allocate continuous memory for 100 Objects
call Object::Object() for each of this Objects
And the result would be a completely different data structure.
lst = [Object() for i in range(100)]
Since an array is it's own first class object in python I think this is the only way to get what you're looking for. * does something crazy.