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I have this histogram but as you see it is very difficult to compare the bares. Is there any method to better represent the information for better comparison by eyes?Thanks.
Perhaps you want logarithmic Y/X-axis. this is possible by using a workaround, that is explained here:
Why does my histogram become incorrect when I change the y-axis scaling to 'log'?
You cannot just use the 'Yscale','log' , because:
the bars are incorrectly displayed; the histogram bars either become lines or disappear entirely.
Related
I am using Rickshaw (based on d3.js) to plot stacked bar charts. The problem is that the first bar is usually way more higher than the others, ruining the visual feedback.
Using logarithmic scale is (I guess) not an option here, because then the proportions between stacks in a bar will get broken. I wanted to introduce a horizontal break like in following image:
However, I cannot find any out-of-the box feature of Rickshaw or d3.js to do something like this. Any suggestions on how to make one?
This would require quite a bit of additional work. Here's an outline of what you would have to do.
Create two scales, one for the lower part and one for the upper. Set domains and ranges accordingly.
Pass values to the lower scale, capping them at the maximum domain value such that bars that are longer will reach the maximum.
Pass values to the upper scale, filtering those that are lower than the minimum.
You basically need to create two graphs that are aligned with each other to give the impression that there's just one. If you keep that in mind, doing it shouldn't be too difficult.
Here's a quick and dirty proof of concept that uses the linear scale's .clamp(true) to prevent the bars from becoming too long for values outside the domain.
The d3fc-discontinuous-scale component adapts any other scale (for example a d3 linear scale) and adding the concept of discontinuities. These discontinuities are determined via a 'discontinuity provider', which can be used to create one or more 'gaps' in a scale.
For example, to remove a range, you can construct a scale as follows:
var scale = scaleDiscontinuous(scaleLinear())
.discontinuityProvider(discontinuityRange([50, 75]))
Here is a complete example that shows how to use this to create a 'break' in a scale in order to render values that have large gaps in their overall range.
https://bl.ocks.org/ColinEberhardt/b60919a17c0b14d745c881f48effe681
I have drown several graphs thanks to "subplot" function on MatLab and it works well.
Nevertheless, I want all my graphs to have the same Y-scale so that I can compare them.
I used the "linkaxes" function and my all my graphs have the same scale but the problem is that some of my figures are "beheaded", lacking their upper part, or one of my figures is completely squeezed.
I don't get what happened. Could you please help me to solve the problem or tell me about another function that would be more appropriate in my case?
Here's part of my code:
for i=1:1:9
m=n(i);
fichier=sprintf('%d.txt',m);
M=load(fichier);
z=length(M(:,1));
x=M(1:z,1);
y=M(1:z,2);
a(i)=subplot(2,4,i)
contour3=plot(x,y)
linkaxes(a,'y')
end
linkaxes creates a permanent link between the scales of several axes, so that you can subsequently perform zoom operations (perhaps interactively) on one, and have the other automatically update.
If you need that functionality, then linkaxes is the right command (although you could possibly also look at linkprops).
However if all you need is to ensure that the y-axis limits of your axes are the same, it will probably be easier (and you will have more control) if you set them directly. You can retrieve the y-axis limits using ylim(axis_handle) and set them using ylim(axis_handle, [lower, upper]), or alternatively with get(axis_handle,'YLim') and set(axis_handle,'YLim',[lower,upper]). You might also look at the YLimMode property of the axis, which determines whether the axis limits are directly set or automatically resized.
I have 42 variables and I have calculated the correlation matrix for them in Matlab. Now I would like to visualize it with a schemaball. Does anyone have any suggestions / experiences how this could be done in Matlab? The following pictures will explain my point better:
In the pictures each parabola between variables would mean the strength of correlation between them. The thicker the line is, the more correlation. I prefer the style of picture 1 more than the style in picture 2 where I have used different colors to highlight the strength of correlation.
Kinda finished I guess.. code can be found here at github.
Documentation is included in the file.
The yellow/magenta color (for positive/negative correlation) is configurable, as well as the fontsize of the labels and the angles at which the labels are plotted, so you can get fancy if you want and not distribute them evenly along the perimeter/group some/...
If you want to actually print these graphs or use them outside matlab, I suggest using vector formats (eg eps). It's also annoying that the text resizes when you zoom in/out, but I don't know of any way to fix that without hacking the zoom function :/
schemaball % demo
schemaball(arrayfun(#num2str,1:10,'uni',false), rand(10).^8,11,[0.1587 0.8750],[0.8333 1],2*pi*sin(linspace(0,pi/2-pi/20,10)))
schemaball(arrayfun(#num2str,1:50,'uni',false), rand(50).^50,9)
I finished and submitted my version to the FEX: schemaball and will update the link asap.
There are a some differences with Gunther Struyf's contribution:
You can return the handles to the graphic object for full manual customization
Labels are oriented to allow maximum left-to-rigth readability
The figure stretches to fit labels in, leaving the axes unchanged
Syntax requires only correlations matrix (but allows optional inputs)
Optimized for performance.
Follow examples of demo, custom labels and creative customization.
Note: the first figure was exported with saveas(), all others with export_fig.
schemaball
x = rand(10).^3;
x(:,3) = 1.3*mean(x,2);
schemaball(x, {'Hi','how','is','your','day?', 'Do','you','like','schemaballs?','NO!!'})
h = schemaball;
set(h.l(~isnan(h.l)), 'LineWidth',1.2)
set(h.s, 'MarkerEdgeColor','red','LineWidth',2,'SizeData',100)
set(h.t, 'EdgeColor','white','LineWidth',1)
The default colormap:
To improve on screen rendering you can launch MATLAB with the experimental -hgVersion 2 switch which produces anti/aliased graphics by default now (source: HG2 update | Undocumented Matlab). However, if you try to save the figure, the file will have the usual old anti-aliased rendering, so here's a printscreen image of Gunther's schemaball:
Important update:
You can do this in Matlab now with the FileExchange submission:
http://www.mathworks.com/matlabcentral/fileexchange/48576-circulargraph
There is an exmample by Matlab in here:
http://uk.mathworks.com/examples/matlab/3859-circular-graph-examples
Which gives this kind of beautiful plots:
Coincidentally, Cleve Moler (MathWorks Chief Mathematician) showed an example of just this sort of plot on his most recent blog post (not nearly as beautiful as the ones in your example, and the connecting lines are straight rather than parabolic, but it looks functional). Unfortunately he didn't include the code directly, but if you leave him a comment on the post he's usually very willing to share things.
What might be even nicer for you is that he also applies (and this time includes) code to permute the rows/columns of the array in order to maximize the spatial proximity of highly connected nodes, rather than randomly ordering them around the circumference. You end up with a 'crescent'-shaped envelope of connecting lines, with the thick bit of the crescent representing the most highly connected nodes.
Unfortunately however, I suspect that if you need to enhance his code to get the very narrow, high-resolution lines in your example plots, then MATLAB's currently non-anti-aliased graphics aren't quite up to it yet.
I've recently been experimenting with MATLAB data and the D3 visualization library for similar graphs - there are several related types of circular visualizations you may be interested in and many of them are interactive. Another helpful, well-baked, and freely available option is Circos which is probably responsible for most of the prettier versions of these graphs you've seen in popular press.
I want to display overlapping boxplots using Sigmaplot 12. When I choose the scale for the x-axis as linear then the boxes do indeed overlap but are much too thin. See figure below. Of course they should be much wider.
When I choose the scale of the x-axis to be "category", then the boxes have the right width, but are arranged along each single x-value.
I want the position as in figure 1 and the width as in figure 2. I tried to resize the box in figure 1 but when I choose 100% in "bar width" than it still looks like Figure 1.
many thanks!
okay, I found the answer myself. In Sigmaplot, there is often the need to prepare "style"-columns, for example if you want to color your barcharts, you need a column that holds the specific color names.
For my boxplot example I needed a column that has the values for "width". These had to be quite large (2000) in order to have an effect. Why ? I have no idea. First I thought it would be because of the latitude values and that the program interprets the point as "1.000"s, but when I changed to values without decimals, it didn´t get better.
Well, here is the result in color.
Have fun !
I saw many Q&A here about squeezing space out of Matlab figures. However I want to squeeze space resulted from a possibly fixed aspect, i.e. to choose proper paper size for figure printing when aspect is fixed.
Quite often I work with DEM/map/image thus I use axis image. Now if I want to produce a high resolution image I do something like
set(gcf,'PaperUnits','inches','PaperPosition',[0 0 4 3])
print('-dpng','-r300','somefile.png')
as described in Matlab KB.
The problem here is to determine a proper aspect such that I can specify proper paper size that would leave no white/background stripes on either sides.
Apparently if I have a map (let's say 1000x2000 cells) with aspect ratio of 0.5, and I'm printing it on 4"x3" paper, I'll get background stripes on the sides. This is quite annoying as I'd prefer 1.5"x3" paper + axes & labels or so. Right now I have to manually adjust paper size.
This is inconvenient as I'd like a universal solution. For instance I may print a plot into file that I expect to occupy 4"x3" as well that has no fixed aspect. Or I may want to print a 3D figure. I'm aware of daspect and pbaspect, but how can I know how it is currently drawn?
Perhaps I can derive current 2D aspect from get(gca,'Position') and then scale it to my maximum allowed desired size (e.g., 4"x3") while respecting whether DataAspectRatioMode (?) property is set to manual. Is it the way to proceed or is there a better way?
I am not exactly sure if I understand your problem exactly, but I have used the following commands to create pdf images that are sized exactly to the size of the figure. I have used this for both 2D and 3D figures. The "handle" variable is simply your figure handle.
set(handle,'Units','inches');
set(handle,'PaperUnits','Inches','PaperPositionMode','auto');
P = get(handle,'Position');
set(handle,'PaperSize', [P(3),P(4)]);