I have a list
of custom-class objects (sample is below).
Using: list(itertools.chain.from_iterable(myBigList))
I wanted to \"merge\" all o
__iter__
is what gets called when you try to iterate over a class instance:
>>> class Foo(object):
... def __iter__(self):
... return (x for x in range(4))
...
>>> list(Foo())
[0, 1, 2, 3]
__next__
is what gets called on the object which is returned from __iter__
(on python2.x, it's next
, not __next__
-- I generally alias them both so that the code will work with either...):
class Bar(object):
def __init__(self):
self.idx = 0
self.data = range(4)
def __iter__(self):
return self
def __next__(self):
self.idx += 1
try:
return self.data[self.idx-1]
except IndexError:
self.idx = 0
raise StopIteration # Done iterating.
next = __next__ # python2.x compatibility.
simply implementing __iter__
should be enough.
class direction(object) :
def __init__(self, id) :
self.id = id
self.__stations = list()
def __iter__(self):
#return iter(self.__stations[1:]) #uncomment this if you wanted to skip the first element.
return iter(self.__stations)
a = direction(1)
a._direction__stations= range(5)
b = direction(1)
b._direction__stations = range(10)
import itertools
print list(itertools.chain.from_iterable([a,b]))
print list(itertools.chain.from_iterable([range(5),range(10)]))
output:
[0, 1, 2, 3, 4, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
[0, 1, 2, 3, 4, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
See here for why it's _direction__stations
Any identifier of the form __spam (at least two leading underscores, at most one trailing underscore) is textually replaced with classname_spam, where classname is the current class name with leading underscore(s) stripped.
You can subclass list
as well:
class Direction(list):
def __init__(self, seq=[], id_=None):
list.__init__(self,seq)
self.id = id_ if id_ else id(self)
def __iter__(self):
it=list.__iter__(self)
next(it) # skip the first...
return it
d=Direction(range(10))
print(d) # all the data, no iteration
# [0, 1, 2, 3, 4]
print (', '.join(str(e) for e in d)) # 'for e in d' is an iterator
# 1, 2, 3, 4
ie, skips the first.
Works for nested lists as well:
>>> d1=Direction([range(5), range(10,15), range(20,25)])
>>> d1
[range(0, 5), range(10, 15), range(20, 25)]
print(list(itertools.chain.from_iterable(d1)))
[10, 11, 12, 13, 14, 20, 21, 22, 23, 24]