void addElements() { _scroll.ContentSize = new CGSize(9 * (44 + 14), 44); for (int i = 0; i < 9; i++) { var img = new SingleRoundImageView(new CGRect(i * (44 + 14), 0, 44, 44)); //44+14 width+espacio _scroll.Add(img); } }
private void initComment() { _image = new SingleRoundImageView(new CGRect(20, 12, 44, 44)); //getimage (20, 12, 44, 44, "MLResources/default_img.png"); Add(_image); string c = ""; //This a sample comment for ml project, lets talk a litle bit"; _name = getTextLabel(82, 12, 158, 16, "Alicia Smith", 12); Add(_name); _comment = getTextLabel(82, 28, 212, 28, c, 11); Add(_comment); _time = getTextLabel(248, 12, 50, 16, "1.25 pm", 11); Add(_time); }
void addNewElements(int idx) { for (int i = idx; i < _usersList.Count; i++) { var img = new SingleRoundImageView(new CGRect(i * (44 + 14), 0, 44, 44)); if (_usersList [i].userImage != null) { img.ImageBytes = _usersList [i].userImage; } _usersList [i].PropertyChanged += (sender, e) => { img.ImageBytes = (sender as MLearning.Core.ViewModels.MainViewModel.user_by_circle_wrapper).userImage; }; _scroll.Add(img); } _scroll.ContentSize = new CGSize(_usersList.Count * (44 + 14), 44); }