plotclr

Plots scattered data colorcoded and adds a colorbar. Based on function plotc.m

Description

This function is similar to MATLAB's own scatter3 routine. PLOTCLR(X,Y,V) plots the values specified in V as a color coded scatter plot at the locations specified in the vectors X and Y. The current colormap of the figure is used for the color code.
Improvement from function plotc.m.

Acknowledgements

The author wishes to acknowledge the following in the creation of this submission:
plotc

• MATLAB release: MATLAB 7.2 (R2006a)

[Loren Ayotte]

Works wonderful.
Couple comments:
The marker argument isn't needed because you can use the 'plot3' properties to handle the marker type. Also, grid does not need to be default on based on the same reason.

One argument that I added was to invert the ticks so that lower numbers were considered "high". Just edit line 62 (and 64 accordingly) to:
        B=sprintf('%-3.1E',ytl(i)*-1);

Great work!

[Val Schmidt]

Great Script.

I also made a couple of modifications that might be of general use.

I wanted to plot colored points on top of another 2D plot. For example, I might capture part of a chart or Google Earth image, plot it with 'image', then scale GPS poisitons for each measurement to the image using a few known points, and finally plot the measurements at each position on top of the chart, color coded to their respective values. plotclr as it is written can't do this because it uses plot3 (a 3d plotting tool). Since I didn't want a 3D plot, I didn't see any reason to use plot3. So I changed plot3 to plot. I also deleted the 'delete(gca)' line at the beginning and 'grid on' line at the end.

My new plotclr can plot colored points atop any other plot. Very handy!

[Vinod Vishwakarma]

Its wonderful
works fantastic, just i need to change colormap manually ever time to change the view of plot.

[haidi]

Fantastic! This is exactly what I am looking for. Many thanks.

[Stefan]

Nice tool. May be important to note though that the lower limit is not plotted. For instance,

plotclr(1:10,1:10,[5 1 1 1 1 1 6 9 9 9])

gives only 5 points and omits all data, where Z = 1.

[Erica]

Excellent! Works very quickly for my large dataset.