Hi Kazi,
To achieve consistent coloring of bars at the same height in a 3D bar plot with a logarithmic scale on the Z-axis, you need to ensure that the color mapping corresponds correctly to the logarithmic values. Here's how you can address this issue:
- When you apply a logarithmic transformation, the color mapping needs to reflect the transformed values. This ensures that bars at the same height have the same color.
- Transform the Z-values to their logarithmic counterparts before setting the color data. This way, the color interpolation aligns with the log-transformed data.
Here's a revised version of your code with these adjustments:
% Your data
b = bar3(yourData); % Replace 'yourData' with your actual data matrix
% Apply colormap with correct mapping
colormap('jet');
clim([min(yourData(:)) max(yourData(:))]); % Set color axis limits
% Log scale transformation
llim = 0.1; % Lower limit for log transformation
for k = 1:length(b)
% Get ZData and apply log transformation
zdata = b(k).ZData;
zdata(zdata == 0) = llim; % Avoid log(0) by setting a lower limit
logZData = log10(zdata); % Apply log transformation
% Set CData for color mapping
b(k).CData = logZData;
b(k).FaceColor = 'interp';
end
% Set the Z-axis to log scale
set(gca, 'ZScale', 'log');
% Adjust the Z-axis limits and ticks if necessary
zlim([llim, max(yourData(:))]);
zticks = logspace(log10(llim), log10(max(yourData(:))), 5); % Adjust number of ticks as needed
set(gca, 'ZTick', zticks);
This approach should ensure consistent coloring across bars at the same height, even with a logarithmic scale applied. Adjust the llim and tick settings as needed for your specific data range.
