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From: Alexander B. <ale...@gm...> - 2014-06-25 13:14:59
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Hi all, I'm trying to plot some radar data I'm working on, which is presented as a 2048x1440 2D array of ints. This means 2048 azimuth angle values between 0° and 360°, and 1440 range increments. Array values represent signal return in that angle/range coordinate. Due to hardware problems, some angle ranges are missing, there the signal value is zero in the grid. The obvious way of plotting this would be a polar grid, so I used a pcolormesh, like this: * import numpy as np import matplotlib.pyplot as plt * * plt.ion()* * fig = plt.figure() ax = fig.add_subplot(111, projection='polar') theta,rad = np.meshgrid(np.arange(0., 360., 360./scan.shape[0]), np.arange(scan.shape[1])) ax.pcolormesh(theta, rad, scan.T) plt.draw()* I transposed scan because theta and rad are 1440x2048 arrays, where scan is a 2048x1440 array. The resulting image seemed ok, but there were no gaps, which I knew were there, so I ran the same code without the 'polar' option, and put them side to side. The result is this: In the rectangular plot, there is a gap between around 120° to 160°, which should be an empty wedge in the polar plot, but it isn't there. Same for the obvious echos at long range between 0° and 50°. OTOH the plot seems quite right, with the gating gap around the radar station in the center and the stronger echos at short range. So I'm a bit baffled as to why this doesn't work the way it should. Does anyone here have an explanation? -- Alex Borghgraef |