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Earlier today, I was given the task of displaying a histogram plot of a list of values. In today’s post, I will walk through a few customizations that can be done to bar plots and histograms in order to achieve the desired results.

We start by binning the raw data into pre-selected bins. This can easily be done using the builtin * histc* (deprecated) or

*functions. We can then use the*

**histcounts***function to plot the results:*

**bar**[binCounts, binEdges] = histcounts(data);hBars = bar(hAxes, binEdges(1:end-1), binCounts);

Let’s improve the appearance: In my specific case, the data was financial return (percentage) values, so let’s modify the x-label format accordingly and display a title. To make the labels and title more legible, we decrease the axes **FontSize** to 8 and remove the axes box:

hAxes = hBar.Parent;xtickformat(hAxes, '%g%%');title(hAxes, 'Distribution of total returns (monthly %)');set(hAxes, 'FontSize',8, 'Box','off')

So far nothing undocumented. Note that the * xtickformat/ytickformat* functions were only introduced in R2016b – for earlier Matlab releases see this post (which does rely on undocumented aspects).

Now, let’s use a couple of undocumented properties: to remove the excess white-space margin around the axes we’ll set the axes’ LooseInset property, and to remove the annoying white space between the tick labels and the X-axis we’ll set the

**XRuler**‘s

**TickLabelGapOffset**property to -2 (default: +2):

set(hAxes, 'LooseInset',[0,0,0,0]); % default = [.13,.11,.095,.075]hAxes.XRuler.TickLabelGapOffset = -2; % default = +2

Note that I used the undocumented axes **XRuler** property instead of the axes’ documented **XAxis** property, because **XAxis** is only available since R2015b, whereas **XRuler** (which points to the exact same object as **XAxis**) exists ever since R2014b, and so is better from a backward-compatibility standpoint. In either case, the ruler’s **TickLabelGapOffset** property is undocumented. Note that the ruler also contains another associated and undocumented **TickLabelGapMultiplier** property (default: 0.2), which I have not modified in this case.

Now let’s take a look at the bin labels: The problem with the bar plot above is that it’s not intuitively clear whether the bin for “5%”, for example, includes data between 4.5-5.5 or between 5.0-6.0 (which is the correct answer). It would be nicer if the labels were matched to the actual bin edges. There are 3 basic ways to fix this:

- We could modify the bar plot axes tick values and labels, in essence “cheating” by moving the tick labels half a bin leftward of their tick values (don’t forget to add the extra tick label on the right):
hAxes.XTick(end+1) = hAxes.XTick(end) + 1; % extra tick label on the rightlabels = hAxes.XTickLabels; % preserve tick labels for later use belowhAxes.XTick = hAxes.XTick - 0.5; % move tick labels 1/2 bin leftwardhAxes.XTickLabel = labels; % restore pre-saved tick labelshAxes.XLim = hAxes.XLim - 0.5; % ...and align the XLim

- We could use the
function’s optional**bar**`'histc'`

flag, in order to display the bars in histogram mode. The problem in histogram mode is that while the labels are now placed correctly, the bars touch each other – I personally find distinct bars that are separated by a small gap easier to understand.hBars = bar(..., 'histc');% [snip] - same customizations to hAxes as done above

With the original bar chart we could use the built-in**BarWidth**to set the bar/gap width (default: 0.8 meaning a 10% gap on either side of the bar). Unfortunately, callingwith**bar**`'hist'`

or`'histc'`

(i.e. histogram mode) results in a`Patch`

(not`Bar`

) object, and patches do not have a**BarWidth**property. However, we can modify the resulting patch vertices in order to achieve the same effect:% Modify the patch vertices (5 vertices per bar, row-based)hBars.Vertices(:,1) = hBars.Vertices(:,1) + 0.1;hBars.Vertices(4:5:end,1) = hBars.Vertices(4:5:end,1) - 0.2;hBars.Vertices(5:5:end,1) = hBars.Vertices(5:5:end,1) - 0.2;% Align the bars & labels at the center of the axeshAxes.XLim = hAxes.XLim + 0.5;

See AlsoHistogram plot - MATLABThis now looks the same as option #1 above, except that the top-level handle is a

`Patch`

(not`Bar`

) object. For various additional customizations, either`Patch`

or`Bar`

might be preferable, so you have a choice. - Lastly, we could have used the builtin
function instead of**histogram**. This function also displays a plot with touching bars, as above, using**bar**`Quadrilateral`

objects (a close relative of`Patch`

). The solution here is very similar to option #2 above, but we need to dig a bit harder to modify the patch faces, since their vertices is not exposed as a public property of the`Histogram`

object. To modify the vertices, we first get the private**Face**property (explanation), and then modify its vertices, keeping in mind that in this specific case the bars have 4 vertices per bar and a different vertices matrix orientation:hBars = histogram(data, 'FaceAlpha',1.0, 'EdgeColor','none');% [snip] - same customizations to hAxes as done above% Get access to *ALL* the object's propertiesoldWarn = warning('off','MATLAB:structOnObject');warning off MATLAB:hg:EraseModeIgnoredhBarsStruct = struct(hBars);warning(oldWarn);% Modify the patch vertices (4 vertices per bar, column-based)drawnow; % this is important, won't work without this!hFace = hBarsStruct.Face; % a Quadrilateral object (matlab.graphics.primitive.world.Quadrilateral)hFace.VertexData(1,:) = hFace.VertexData(1,:) + 0.1;hFace.VertexData(1,3:4:end) = hFace.VertexData(1,3:4:end) - 0.2;hFace.VertexData(1,4:4:end) = hFace.VertexData(1,4:4:end) - 0.2;

In conclusion, there are many different ways to improve the appearance of charts in Matlab. Even if at first glance it may seem that some visualization function does not have the requested customization property or feature, a little digging will often find either a relevant undocumented property, or an internal object whose properties could be modified. If you need assistance with customizing your charts for improved functionality and appearance, then consider contacting me for a consulting session.

### Related posts:

- Customizing contour plots – Contour labels, lines and fill patches can easily be customized in Matlab HG2. ...
- Customizing contour plots part 2 – Matlab contour labels' color and font can easily be customized. ...
- Customizing contour plots part 2 – The contour lines of 3D Matlab plot can be customized in many different ways. This is the 2nd article on this issue. ...
- Customizing axes tick labels – Multiple customizations can be applied to tick labels. ...
- Customizing axes part 3 – Backdrop – Matlab HG2 axes can be customized in many different ways. This article explains some of the undocumented aspects. ...
- Customizing axes part 4 – additional properties – Matlab HG2 axes can be customized in many different ways. This article explains some of the undocumented aspects. ...

Handle graphics HG2 Pure Matlab

##### 2 Responses

chengji chenReply Hi, I have tried the method, but it didn’t work.

I plot figure by m_map toolbox, the xticklabel will add to the yticklabel at the left-down corner, so I want to move down the xticklabel, but it didn’t work.

Is there any other way to do it?

Yair AltmanReply m_map is a mapping tool, not even created by MathWorks and not part of the basic Matlab system. I have no idea why you think that the customizations to the builtin bar function in this article should also apply to m_map.

If you need assistance with m_map, contact its developer (https://www.eoas.ubc.ca/~rich/map.html)

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