I have three values, azimuth, elevation and corresponding data points. is it possible to plot 3D polar plot using this three values. and 1 want to show the third value in colour. I am looking forward to hear your suggestions. A sample data is:
file name :
data.txt
318.1 8.68 19.43 317.15 8.86 22.48 316.19 9.05 23.5 315.23 9.23 25.54 314.28 9.41 28.53 313.32 9.6 31.59 312.36 9.78 35.61 311.4 9.96 36.67 310.44 10.15 37.71 309.48 10.33 41.71 308.51 10.52 43.78 307.55 10.7 48.83 306.59 10.89 49.88 305.62 11.07 51.95 304.66 12.26 53.96 303.69 12.45 54.01 302.73 13.63 58.04 301.76 13.82 63.09 300.79 14.01 65.1 299.83 14.19 60.12 298.86 15.38 58.14 297.89 16.57 57.17 296.92 16.76 54.19 295.94 17.94 50.21 294.97 18.13 48.24 293 19.32 46.27 292.03 19.51 45.31 291.05 20.7 42.33 290.08 19.89 40.36 289.1 19.07 39.38 288.12 18.26 35.43 287.15 17.45 33.45 286.17 16.64 32.46 285.19 15.83 31.48 286.21 15.02 29.49 285.23 14.80 25.52 284.25 14.40 20.52 283.26 13.59 19.54 282.28 12.79 15.58 281.3 12.08 13.62 280.31 11.17 12.64
D = load('data.txt'); Az = D(:,1); El = D(:,2); Rd = D(:,3); cn = ceil(max(El)); % Number Of Colors cm = colormap(jet(cn)); figure(2) polarscatter(Az*pi/180, Rd, [], cm(fix(El),:), 'filled') grid on
Tbis colours the points by the value of ‘El’. Here, since the maximum ‘El’ value defines 21 colours, no scaling of it is needed. In other situations (very high or very low maximum values), scaling would be necessary to get adequate colour definition.
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