How to exclude bins from a bi-variate histogram

Hi, I have been some of the bins from the a bi-variate histogram of the following density plot/histogram. I don't want to have my histogram horizontally between x>=-0.002 & x<0.002 and vertically between y>=-0.002 & y<0.002.

I have tried the following code

xL = xpos>=-0.002 & xpos<0.002; % xpos is the position in x-axis
x = xpos(~xL,:);
yL = ypos>=-0.002 & xpos<0.002; % ypos is the position in y-axis
y = ypos(~yL,:);
h = histogram2(x,y,[100,100],'DisplayStyle','tile','ShowEmptyBins','on');

But it is giving error as my length of x and y are different. I will appreciate if anyone let me know how to make my histogram2 plot excluding those region. Thanks in advance.

Answer 1

[Steven Lord]

Don't eliminate data points from your xpos and ypos arrays. Instead, specify XBinLimits and YBinLimits when you call histogram2.

[Ashfiq]

Hi, Thanks. Actually I want to eliminate that region in the middle.Do you know is there any way that I can have that histogram below -0.002 and above 0.002 in both x-axis and y-axis using XBinLimits and YBinLimits ? Because in this case I will have two min and max values. Thanks in advance.

Answer 2

[Image Analyst]

You say you have an image of "bins from the a bi-variate histogram of the following density plot/histogram." So the data in the image already represents counts (a histogram). Why why then are you calling histogram2()? Why are you calling histogram on a histogram? And what is xpos and ypos exactly? Is that like what you'd get from meshgrid, basically a 2-D array of the x and y coordinates? If so, then what variable is displayed in the image?

Do you just want to crop the displayed/existing histogram to be a smaller image (smaller range)?

[Ashfiq]

Hi, Thanks for your concern. Actually this is not a histogram plot for an image whereas horizontally it is the position of an element in x-axis which is defined as 'xpos', and 'ypos' is defined as the y-axis positions which you can see on the vertical axis. What I basically wanted to see is the density plot of the element how much it is concentrated through the space and whether it is uniformed or not. But, it seems like I have some noise in the middle. Therefore, I wanted to get rid of those noise and make same spatial density plot. I hope this clarifies what you asked.