How to put different viewing angle of 3d plot in GUI

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Geckas on 3 May 2013

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https://se.mathworks.com/matlabcentral/answers/74496-how-to-put-different-viewing-angle-of-3d-plot-in-gui

Hello,

I haven't found this question anywhere similar Im having this problem that i can't put different viewing angle on push button in GUI (graphical user interface). When i only put for example view(90,0) it works but on push button i have tried to create plot3 again.. what i haven't tried and still nothing.

Ill try to post my code here. Also its a bit complicated because i am opening folders which each of them includes 15 files with different data. But i think there should be some kind of solution.

Heres the code:

%% File Reading for test = 1:2 color_plot = ['r' 'g' 'y']; EntireMeasurement = {}; %Array for all measurements ArrayOfMeasurement={}; %Array for one measurement result repeat = true; %initializing counter values valuescount = 1; myFolder = 'D:\Failas\Nauji matavimai';

            if ~isdir(myFolder)
                errorMessage = sprintf('Warning: The following folder does not exist:\n%s defaulting folder to C:, change myFolder variable to avoid this warning', myFolder);
                warndlg(errorMessage);
                myFolder = 'C:\'
                return;
            end
    foldername = uigetdir(myFolder, 'Select Results folder');
    currentDirectory = foldername
    [upperPath, deepestFolder, ~] = fileparts(currentDirectory)
    filePattern = fullfile(foldername, './*.csv');%, 'MultiSelect','on');
    csvFiles = dir(filePattern);
    repeat = 0;
    while repeat < length(csvFiles)
    fileNamePattern_s = 'Height %fm Distance %fm';
    distDimensions = sscanf(csvFiles(repeat+1).name, fileNamePattern_s);
    height = distDimensions(1);
    distance = distDimensions(2);
    baseFileName = csvFiles(repeat+1).name;
    fullFileName = fullfile(foldername, baseFileName);
    fprintf(1, 'Now reading %s\n', fullFileName);
           fid = fopen(fullFileName,'r');

%% Group read values into arrays

 Receiver = []; %Receiver address array
 Transmitter = []; %Transmitter address array
 RSSI = []; %RSSI address array
 Time = []; %Time address array
        while ~feof(fid) 
                line=fgets(fid); %  Gets one line and sends it to check
                [Receivertmp, Transmittertmp, RSSItmp, Timetmp]=strread(line(1:length(line-2)),'%s%s%d%s', 1, 'delimiter', ';'); %delimiter shows where the word is going to end in this case at ';'
                Receiver = [Receiver Receivertmp]; %Adds one element at the time while 'while' is working
                Transmitter = [Transmitter Transmittertmp];
                RSSI = [RSSI RSSItmp];
                Time = [Time Timetmp]; 
        end

Records = struct('Receiver',[Receiver], 'Transmitter', [Transmitter], 'RSSI', [], 'Time', [Time]); %Structure which holds a record of each value

            for i=1:length(RSSI)
                Records(i).RSSI=RSSI(i);  %Put  every value for every record
            end

%% Compare and group similar values

Unikal = unique({Records.Receiver}); %Select unique names from Records.Receiver changing it to cell array with '{}' A={}; % Creaty an empty cell array

            for i=1:length(Unikal) %Go through every unique address
                A(i) = {Records(strcmp(Unikal(i), {Records.Receiver}))}; %strcmp compare an unique Records with all records and we get logic matrix which we use to index elements of the records
            end
B=cell2mat(A(strcmp(Unikal, '001830EDD5DF'))); %cell array convert to simple matrix. According to this we take whatever values we need
%B is a structure, elements B.RSSI(14), B.Receiver(17)
%If we need all the values A= [B.RSSI] 
%figure
           for i = 1:length(B)
              x(i) = {B(i).Time(13:21)};
          end   
 %set(gca, 'XTick',1:length(x'), 'XTickLabel',{x'}); %56 change to length()
 % xticklabel_rotate(1:length(x),90,x,'interpreter','none');
     ArrayOfMeasurement(1)={[B.RSSI]};          %RSSI saves as value in            results array
   fclose(fid);
ArrayOfMeasurement(2)={distance};
ArrayOfMeasurement(3)={height};%enters distance in the same calculated   results array
EntireMeasurement{valuescount} = ArrayOfMeasurement;  %puts single tests   results into global cell array's single cell.
valuescount=valuescount + 1;
ArrayOfMeasurement(:) = {[]};
   repeat = repeat +1;
    end
 DistanceTestNumber = length(EntireMeasurement); %number of distance values
 for y=1:DistanceTestNumber
   Tempcell = EntireMeasurement{y};                    %select single    measurements cell y
    tempstd = std([Tempcell{1:end -1}]);                % get standart   deviation of RSSI values from 1 to end-1-st log file, end element is distance.
    tempmean = mean([Tempcell{1:end-1}]);          % get mean of RSSI values   from 1 to end-1-st log file, end element is distance.
    Tempcell{end + 1} = tempstd;                           %set end +1    element (new element at the end) as standart deviation
      Tempcell{end + 1} = tempmean;                       %set end +1   element (new element at the end) as mean
    EntireMeasurement{y} = Tempcell;                    %Overwriting old   cell
end %Basic premise of this loop is to take cell with data and distance and   add both mean and standart deviation
 for i= 1:DistanceTestNumber
    Tempcell = EntireMeasurement{i};
    distd(test,i)= Tempcell{end-3};                 %susidedam atskirai i  masyvus ir nuplotinam ant galo
    disth(test,i) = Tempcell{end -2}; %{end -2} is height
    stdevs(test,i) = Tempcell{end-1};
    aver(test,i) = Tempcell{end};
   end 
subplot(1,2,test); 
xlim([0 5]);
ylim([0 2]);
zlim([-80 -50]);
plot3_errorbars_surf(distd(test, :), disth(test, :), aver(test, :),   stdevs(test, :));
% view(90,0), shading interp
if test==1
    title(deepestFolder,'FontSize',12);
else
    title(deepestFolder,'FontSize',12);
end
xlabel ('Distance, m','FontSize',12);
ylabel ('Height, m','FontSize',12);
zlabel ('RSSI, dB','FontSize',12);
grid on;
% Choose default command line output for simple_gui
handles.output = hObject;
end
% Update handles structure
guidata(hObject, handles);
% UIWAIT makes simple_gui wait for user response (see UIRESUME)
% uiwait(handles.figure1);
% --- Outputs from this function are returned to the command line.
function varargout = simple_gui_OutputFcn(hObject, eventdata, handles) 
% varargout  cell array for returning output args (see VARARGOUT);
% hObject    handle to figure
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
% Get default command line output from handles structure
varargout{1} = handles.output;
% --- Executes on selection change in plot_popup.
function plot_popup_Callback(hObject, eventdata, handles)
% hObject    handle to plot_popup (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
% Hints: contents = cellstr(get(hObject,'String')) returns plot_popup   contents as cell array
%        contents{get(hObject,'Value')} returns selected item from   plot_popup
% --- Executes during object creation, after setting all properties.
function plot_popup_CreateFcn(hObject, eventdata, handles)
% hObject    handle to plot_popup (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    empty - handles not created until after all CreateFcns called
% Hint: popupmenu controls usually have a white background on Windows.
%       See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'),   get(0,'defaultUicontrolBackgroundColor'))
    set(hObject,'BackgroundColor','white');
end
% --- Executes on button press in surf_pushbutton.
function view_pushbutton_Callback (hObject, eventdata, handles)
% hObject    handle to surf_pushbutton (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
%Display surf plot of the currently selected data
% --- Executes on button press in mesh_pushbutton.
function mesh_pushbutton_Callback(hObject, eventdata, handles)
% hObject    handle to mesh_pushbutton (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
%Display mesh plot of the currently selected data
mesh(handles.current_data)
% --- Executes on button press in contour_pushbutton.
function contour_pushbutton_Callback(hObject, eventdata, handles)
% hObject    handle to contour_pushbutton (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
%Display contour plot of the currently selected data
contour(handles.current_data)
Any help here?