Borrar filtros
Borrar filtros

Put block behind colorbar

21 visualizaciones (últimos 30 días)
Nathaniel H Werner
Nathaniel H Werner el 15 de Oct. de 2019
Editada: Adam Danz el 18 de Oct. de 2019
I have several contour plots on a cylinder that I made in MatLab. In some of them the black text from the colorbar is obstructed by dark colors in the plot. In others, the color of the text is fine so I would rather not change the color of the text. Is there an easy way in MatLab to put a rectangular patch (either white or gray) neatly around the colorbar and the surrounding text but behind it so that only a small amount of the contour is hidden?
I've given a link to 4 .fig files on google drive (they're too big to attach), and a .png of one of them where I put a white block around the colorbar (I would like it to be filled and behind the colorbar but in front of the contour) to show what I am hoping to get.
  6 comentarios
Adam Danz
Adam Danz el 16 de Oct. de 2019
I see what you mean now (I saw your figs).
I think your best bet is to add another axis that's slightly bigger than your colorbar (you can get the size and position of the colorbar from its handle). The axis can be set to be on the edge of your figure. But you can't place the colorbar of one axis on another axis so your "fake" axis will have to have the same colormap and color-range as your original data. Then you assign the colorbar to your new, fake axis. Does that make sense?
Nathaniel H Werner
Nathaniel H Werner el 16 de Oct. de 2019
I think I understand the concept but I'm not sure how to do that.

Iniciar sesión para comentar.

Respuesta aceptada

Adam Danz
Adam Danz el 16 de Oct. de 2019
Editada: Adam Danz el 18 de Oct. de 2019
I still think repositioning the axis to make room for a marginal colorbar is the cleanest and most efficient approach (see the various position properties of axes).
However, here's how to add an axes under a cloned colorbar. The basic idea is to create a new axis on top of the existing colorbar, set the axis colormap properties to match the main axis, then add a new colorbar to the new axes. Then set the colorbar properties to match those of the initial colorbar. Toward the end of the code below, you can set the transparency level of the new axis. Note that the original colorbar is turned off but still exists. See inline comments for more detail.
% Open one of your figures
% Get fig, axes, and colorbar handles from current figure
% Assumes 1 axes and 1 colorbar per figure
fh = gcf();
axh = findall(fh, 'Type','Axes');
cbh = findall(fh, 'Type','ColorBar');
% Create an axis on top of the current colbar
ax2 = axes('position',cbh.Position,'XTick',[],'YTick',[],'Box','on');
% expand the size of the new axis
% The axis will be 4X wider and its height will be slight larger to make room for title
ax2.Position(1) = ax2.Position(1) - .01;
ax2.Position(2) = ax2.Position(2) - .01;
ax2.Position(3) = ax2.Position(3)*4;
ax2.Position(4) = 1 - ax2.Position(2) - .01;
% The new axis must match the color scale of the one we're imitating
ax2.Colormap = axh.Colormap;
ax2.ColorScale = axh.ColorScale;
% set colorbar in new axes (you can add other important properties as needed)
cb2 = colorbar(ax2);
cb2.Position = cbh.Position;
cb2.FontSize = cbh.FontSize;
cb2.Limits = cbh.Limits;
cb2.LimitsMode = cbh.LimitsMode;
cb2.TickDirection = cbh.TickDirection;
cb2.YAxisLocation = cbh.YAxisLocation;
% Set title of colorbar
th = title(cb2,cbh.Title.String,'Units','Normalize');
th.Position(1) = th.Position(1) - min(0,th.Extent(1)-.00); %Move title to fit on axes
% set transparency of new axes (undocumented)
% v---transparency (0:1)
ax2.Color = [1 1 1 .6];
% Turn off old colorbar (keep it around in case you need to reference it later)
cbh.Visible = 'off';
  6 comentarios
Nathaniel H Werner
Nathaniel H Werner el 16 de Oct. de 2019
Editada: Nathaniel H Werner el 16 de Oct. de 2019
I see. I'm just post-processing these figures for a conference in a few weeks, and the range of the colorbar for each figure is different for each different variable (, and ). I think it would just be easiest to adjust it after the figure is saved.
Adam Danz
Adam Danz el 16 de Oct. de 2019
Sure, just apply caxis() to both sets of axes.
It would be a good idea to spot-check this by comparing the new/old colorbars within a figure to make sure they match. I see no reason why they wouldn't match and they certainly matched for all 4 figures you provided in the zip file. But it's always reassuring to keep checking.
You can use the last line of my answer to toggle 'on' or 'off' the original colorbar.
If you wanted to be extra vigilant, you could add a line or two of code that detects differences in the y-tick-labels of each colorbar or the colormap of each axis since you have access to both sets of handles. Practicing these types of "santify checks" will let you sleep better at night.
test = isequal(cb2.YTickLabel, cbh.YTickLabel) & isequal(cb2.YLim, cbh.YLim) & isequal(axh.Colormap, ax2.Colormap);
if ~test
error('Property mismatch between pseudo-colorbar and main axes.')

Iniciar sesión para comentar.

Más respuestas (0)


Más información sobre Orange en Help Center y File Exchange.




Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by