function plotViolin(wh,plotJob)

fig = findall(groot, 'Type', 'figure', 'Name', plotJob.figName);

if isvalid(fig)
    figure(fig)
    fig = get(fig);
    AxesMain =  fig.CurrentAxes;
    hold on
else
    fig = figure('name',char(plotJob.figName));
    AxesMain    = gca;
    hold on
end

%% Violin
col = plotJob.color;

% we want to fetch all realizations
if plotJob.pmd == 0
    realization = 1;
else
    realization = wh.parameter.realization.values(1:end);
end

%realization = 0:8;

% get all xAxis values
xAxis = wh.parameter.p_out.values;

% ber = NaN(500,16,10);
% zdw = NaN(500,1,10);

%get BER values for query
for xl = 1:numel(xAxis)
    p_out = xAxis(xl);

    curber = wh.getStoValue('ber',plotJob.l,plotJob.d,plotJob.sgm,string(plotJob.pol),plotJob.p_in,p_out,plotJob.pmd,plotJob.gamma,realization,plotJob.ch,1310,plotJob.channelspacing,plotJob.randzdw);
    curber= removeZeros(curber);
    ber(1:size(curber,1),1:size(curber,2),xl) = curber;

end

% to remove outliers set the percentile range
% a = squeeze(mean(ber,2));
% out = isoutlier(mean(a,2),"percentiles",[0 100]);
% ber = ber(~out,:,:);
% disp(sum(out));

hdfec = 3.8e-3.*ones(size(xAxis));
S = [];
wavelength={};


S = [];
S_chann = [];

wl = calcWavelengthPlan(plotJob.ch,plotJob.channelspacing,1310);
%get fec thresholds
% [C,ia,ib] =intersect(linx,xAxis);
% linear = squeeze(linear);

%ber(ber==0) = NaN;
S_chann_no_crossing = zeros(1,plotJob.ch);
for chann = 1:size(ber,2)

    for realiz = 1:size(ber,1)
        
        ber_series = squeeze(ber(realiz,chann,:)).';
        if mean(ber_series) > 0.1
            continue
        end

        a = InterX([hdfec(:)';xAxis],[ber_series;xAxis]);

        if ~isempty(a)
            S_chann(realiz,chann) = a(2);
%             if a(2) > -7 && string(plotJob.pol) == "copolarized"
%                 continue
%             end
            S(end+1) = a(2);
            wavelength{end+1} = num2str(wl(chann));
        else
            S(end+1) = 0;
            wavelength{end+1} = num2str(wl(chann));
            S_chann_no_crossing(realiz,chann) = 1;
            S_chann(realiz,chann) = -1;
        end
    
    end
end

threshold = -6;
FEC_crossed     = sum(S_chann < threshold & ~isnan(S_chann),1);
FEC_not_crossed = sum(S_chann >= threshold & ~isnan(S_chann),1);
failure_rate = FEC_not_crossed ./ (FEC_crossed + FEC_not_crossed) ;


S_chann(S_chann==0) = NaN;

total_avg = mean(S_chann,"all","omitnan");

%figure(2024)
%C = flip(cbrewer2('Spectral',8));
if numel(S) <= numel(wl)
    vs = scatter(1:numel(S),S,50,'o','MarkerEdgeColor','black','MarkerFaceColor',plotJob.color,'LineWidth',1,'HandleVisibility','off');
    %vs = scatter(1,mean(S),50,'o','MarkerEdgeColor','black','MarkerFaceColor',plotJob.color,'LineWidth',1);

else

    vs = violinplot(S,wavelength,...
        'ViolinColor',plotJob.color,...
        'ViolinAlpha',0.1,...
        'MarkerSize',1,...
        'ShowMedian',false,...
        'EdgeColor',plotJob.color,...
        'ShowWhiskers',false,...
        'ShowData',false,...
        'ShowBox',false,...
        'Bandwidth',0.051 ...
        );

    
    hold on

    partly_failed = boolean(ceil(failure_rate));
    
    avg = mean(S_chann,1,"omitnan");
    
    notfailed = ~partly_failed .* avg;
    notfailed(notfailed==0) = NaN;
    scatter(1:size(S_chann,2),notfailed,10,'Marker','x','MarkerEdgeColor','black','MarkerFaceColor',plotJob.color,'LineWidth',0.5,'HandleVisibility','off');


    hold on
    partly_failed = partly_failed.*avg;
    partly_failed(partly_failed==0) = NaN;
    s=scatter(1:numel(failure_rate),partly_failed,10,'Marker','x','LineWidth',0.5,'HandleVisibility','off','MarkerEdgeColor','red');
    s.DataTipTemplate.Interpreter = "latex";
    s.DataTipTemplate.DataTipRows(1).Label = "Fail Rate: ";
    s.DataTipTemplate.DataTipRows(1).Value = failure_rate;
    s.DataTipTemplate.DataTipRows(2) = [];
    hold off
end

% ax = gca;
% ax.XTicks

hold on
yline(total_avg,'LineWidth',1,'LineStyle','--','DisplayName','System Avg.')
fig.Position = plotJob.Position;

xticklabels(1:16);
ylabel('Penalty in dB');
xlabel('Channel Number');
ylim([-9.3,-3]);
xlim([0,plotJob.ch+1]);
% grid minor;
set(gca, 'color', 'none');
legend = [];

fontsize(AxesMain,8,"points")

fig.Position = plotJob.Position;
fig.Units = "centimeters";
fig.Position = [2 2 8.5 7];

set(AxesMain,'TickLabelInterpreter','latex')

set(AxesMain.Legend,'Interpreter','latex')



if 0
ber_sorted = sort(S);

z1 = [];
penalty = mean(ber_sorted):0.01:mean(ber_sorted)+2;

for i = 1:length(penalty)
    l = penalty(i);
    if i == 1
        z1 = [z1 sum(ber_sorted(1,:)<l ) / length(ber_sorted)  ];
    else
        z1 = [z1 sum(ber_sorted(1,:)<l & ber_sorted(1,:)>l-0.01) / length(ber_sorted)   ];
    end
    
end

penalty_higherthan = 0.5;
probability = sum(z1(find(penalty>mean(ber_sorted)+penalty_higherthan)));
disp(['A penalty of more than 0.5 dB has a probability of: ', num2str(probability)]);
end

end


function vec = removeZeros(vec)
    % Find rows that contain only zeros
    rows_to_remove = all(vec == 0, 2);
    
    % Remove rows with only zeros
    vec(rows_to_remove, :) = [];


end