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plot_anomaly.m
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timesteps = 576 % 193 %size(data1, 2)
% target_path='/data/flow2/turbine_Stg/zDIR.P3D.rel.6201-11001/output/'
target_path='/data/flow2/turbine_Stg/s35_noinj_13.80_141219_turb_6201-20601/output_important/anomaly/'
var = 'Pressure'
% var = 'Entropy'
% var = 'TotalPressure'
% var = 'Density'
% var = 'Temperature'
% var = 'Velocity'
data1=zeros(36*56, 16, timesteps);
for t=1:timesteps
file=sprintf('%s/Salient_%s_iso3.5_%d.txt', target_path, var, t-1);
data=dlmread(file);
data1(:,:,t)=data;
end
% remove small area
conn = 6
P = 500
P1 = 20000
% P1= 3406207*.5 %entropy
% P1 = 19885237 *.95 %velocity
% P1 = 273366 *.05 %density
if 0
BW2 = bwareaopen(data1, P, conn);
data1 = data1.*BW2;
elseif 1
% Determine the connected components:
CC = bwconncomp(data1, conn);
% Compute the area of each component:
if 0
S = regionprops(CC, 'Area');
% Remove small objects:
L = labelmatrix(CC);
BW2 = ismember(L, find([S.Area] >= P));
data1 = data1.*BW2
else
S = regionprops(CC, 'Area');
S1 = regionprops(CC, data1, 'MeanIntensity');
% Remove small objects:
L = labelmatrix(CC);
maxsum = max([S.Area].*[S1.MeanIntensity])
BW2 = ismember(L, find(([S.Area].*[S1.MeanIntensity]) >= P1));
data1 = data1.*BW2;
end
end
figure
degrees = size(data1,1);
% colormap(hot)
cmap = colormap(hot);
cmap = cmap([1:44,64],:);
cmap = flipud(cmap);
colormap(cmap)
data2 = squeeze(sum(data1,2));
maxval = max(max(max(data2)))
imagesc(sqrt(data2), [0 sqrt(maxval)])
% imagesc((data2), [0 (maxval)])
%xlabel('Time Step')
ylabel('Passage')
set(gca,'YDir','normal', ...
'xgrid', 'on', 'xcolor',[.2 .2 .2], ...
'ygrid', 'on', 'ycolor',[.2 .2 .2], ...
'ytick', 1:56:(36*56-1), ...
'yticklabel', 1:36, ...
'xtick', 1:5:timesteps, ...
'color', 'w', ...
'YDir', 'reverse', ...
'XColor', [.6 .6 .6],...
'YColor', [.6 .6 .6] ...
)
set(gca, 'color', [0 0 0])
ylim([1, degrees])
xlim([1, timesteps])
if 0
maxval = max(max(max(data1)))
% 193 time steps, 36 x 56 degrees, 10 segs
% merge
if 1
out_segs = 8
segs = size(data1,2);
data2=zeros(size(data1,1), out_segs, size(data1,3));
step = ceil(segs/out_segs);
for i=1:out_segs
merge = ((i-1)*step+1):min(segs,(i*step))
data2(:,i,:) = sum(data1(:,merge,:),2);
end
data1 = data2;
end
figure
j=0;
segs = size(data1,2)
degrees = size(data1,1)
if 0
for i=1:1:segs
j=j+1;
%HeatMap(squeeze(data1(:,i,:))', 'LabelsWithMarkers', true, 'DisplayRange', 40, 'Colormap', redgreencmap(100, 'Interpolation', 'Sigmoid'))
%imagesc(squeeze(data1(i,:,:))', [0 maxval])
data = squeeze(data1(1:degrees, i, 1:timesteps));
[degs,ts,val] = find(data);
scatter(ts,degs,(val/maxval).^2*200, (i/segs)*ones(length(ts),1),'fill')
title(sprintf('X %d', i))
%xlabel('Time Step')
ylabel('Passage')
set(gca,'YDir','normal', ...
'xgrid', 'on', 'xcolor',[.2 .2 .2], ...
'ygrid', 'on', 'ycolor',[.2 .2 .2], ...
'ytick', 1:56:(36*56-1), ...
'yticklabel', 1:36, ...
'color', 'w', ...
'YDir', 'reverse')
set(gca, 'color', [0 0 0])
ylim([1, degrees])
xlim([1, timesteps])
hold on
end
hold off
else
% cmap = colormap(hot);
% cmap = cmap(8:56,:);
% cmap = flipud(cmap);
colormap(hot);
for i=1:1:segs
j=j+1;
subplot(2,ceil(segs/2),j)
%HeatMap(squeeze(data1(:,i,:))', 'LabelsWithMarkers', true, 'DisplayRange', 40, 'Colormap', redgreencmap(100, 'Interpolation', 'Sigmoid'))
%imagesc(squeeze(data1(i,:,:))', [0 maxval])
data = squeeze(data1(1:degrees, i, 1:timesteps));
if 0
[degs,ts,val] = find(data);
scatter(ts,degs,(val/maxval)*200, sqrt(val/maxval),'fill')
else
imagesc(sqrt(data), [0 sqrt(maxval)])
end
title(sprintf('%.2f%%-%.2f%% chord from leading edge', (i-ceil(segs/2)-1)/3, (i-ceil(segs/2))/3))
%xlabel('Time Step')
ylabel('Passage')
set(gca,'YDir','normal', ...
'xgrid', 'on', 'xcolor',[.2 .2 .2], ...
'ygrid', 'on', 'ycolor',[.2 .2 .2], ...
'ytick', 1:(56*4):(36*56-1), ...
'yticklabel', 1:4:36, ...
'color', 'b', ...
'YDir', 'reverse')
... %set(gca, 'color', [0 0 0])
ylim([1, degrees])
xlim([1, timesteps])
end
end
%
% %colorbar
%
% figure
% colormap(hot);
% for i=1:36
% %HeatMap(squeeze(data1(:,i,:))', 'LabelsWithMarkers', true, 'DisplayRange', 40, 'Colormap', redgreencmap(100, 'Interpolation', 'Sigmoid'))
% imagesc(squeeze(data1(i,:,:))', [0 maxval])
% title(sprintf('block %d', i))
% xlabel('Time Step')
% ylabel('Degree')
% set(gca,'YDir','normal', ...
% 'xgrid', 'on', 'xcolor',[.2 .2 .2], ...
% 'ygrid', 'on', 'ycolor',[.2 .2 .2], ...
% 'ytick', 0:10:180, ...
% 'color', 'w')
% ylim([0, 95])
% saveas(gca, sprintf('block %02d.png', i), 'png');
% % pause
% end
%
% [m,I] = max(data1, [], 3);
% I
end