Sure, you can use slice indexing: a_list[1:1] = b_list Just to demonstrate the general algorithm, if you were to implement the my_extend function in a hypothetical custom list class, it would look like this: def my_extend(self, other_list, index): self[index:index] = other_list But don’t actually make that a function, just use the slice notation when you … Read more
You can use two flatMap then a filter then you can pick the first one or if no result return null : C c1 = listOfAObjects.stream() .flatMap(a -> a.getList().stream()) .flatMap(b -> b.getPr().stream()) .filter(c -> c.getName().equalsIgnoreCase(name)) .findFirst() .orElse(null);
Firstly, I recommend you follow Björn Pollex’s advice (+1). To get past this particular problem (type(l2 + l3) == CustomList), you need to implement a custom __add__(): def __add__(self, rhs): return CustomList(list.__add__(self, rhs)) And for extended slicing: def __getitem__(self, item): result = list.__getitem__(self, item) try: return CustomList(result) except TypeError: return result I also recommend… pydoc … Read more
List Comprehension If performance is important, I strongly recommend this solution and I can explain why. df[‘liststring’] = [‘,’.join(map(str, l)) for l in df[‘lists’]] df lists liststring 0 [1, 2, 12, 6, ABC] 1,2,12,6,ABC 1 [1000, 4, z, a] 1000,4,z,a You can extend this to more complicated use cases using a function. def try_join(l): try: … Read more
This code Future<List<String>> readHeaderData() async { List<String> l = new List(); List<String> files = await readHeaders(); // Gets filenames files.forEach((filename) async { final file = await File(filename); String contents = await file.readAsString(); User user = User.fromJson(json.decode(contents)); String name = user.NameLast + “, ” + user.NameFirst; print(name); l.add(name); } return l; } returns the list l … Read more
Assuming that the dicts line up like in your example input, you can use the zip() function to get a list of associated pairs of dicts, then you can use any() to check if there is a difference: >>> list_1 = [{‘unique_id’:’001′, ‘key1′:’AAA’, ‘key2′:’BBB’, ‘key3′:’EEE’}, {‘unique_id’:’002′, ‘key1′:’AAA’, ‘key2′:’CCC’, ‘key3′:’FFF’}] >>> list_2 = [{‘unique_id’:’001′, ‘key1′:’AAA’, ‘key2′:’DDD’, … Read more
You could use json.dumps() >>> import json >>> List = [“A”, “B”] >>> print json.dumps(List) [“A”, “B”]
public static <F,T> List<T> transform(List<F> fromList, Function<? super F,? extends T> function You might want to read up the API docs for Lists.transform() and Function, but basically the caller of the transform provides a Function object that converts an F to a T. For example if you have a List<Integer> intList and you want to … Read more
As usual, the itertools module contains a solution: >>> l1=[1, 2, 3] >>> l2=[4, 5, 6] >>> l3=[7, 8, 9] >>> import itertools >>> list(itertools.chain(l1, l2, l3)) [1, 2, 3, 4, 5, 6, 7, 8, 9]