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POSet a radial offset on a polar projection in matplotlib
 

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  1. POSet a radial offset on a polar projection in matplotlib
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    <p>I have some simulated data in a 2D numpy array with a size like (512, 768).</p> <p>This data is simulated from rmin = 1 to rmax = 100 and phi from 0 to 2pi</p> <p>I try to plot this on a polar plot, but without an offset in radial direction this looks really odd. Note: The images are coming from a radial density distribution, so the plotsshould be radial symmetric.</p> <p><strong>Without xlim/ylim set:</strong></p> <pre><code>fig = plt.figure() ax = fig.add_subplot(111, projection='polar') rho = // 2D numpy array ax.pcolormesh(rho) fig.show() </code></pre> <p><img src="https://i.stack.imgur.com/4Xrwm.png" alt="Radial plot without offset and xlim/ylim"></p> <p><strong>With xlim/ylim set:</strong></p> <pre><code>fig = plt.figure() ax = fig.add_subplot(111, projection='polar') rho = // 2D numpy array print rho.shape ax.axis([x_scale[0], x_scale[-1], y_scale[0], y_scale[-1]]) ax.pcolormesh(rho) fig.show() </code></pre> <p><img src="https://i.stack.imgur.com/NMHJI.png" alt="Radial plot without offset"></p> <p><strong>With a manual axis + X/Y values.</strong></p> <pre><code>fig = plt.figure() ax = fig.add_subplot(111, projection='polar') rho = // 2D numpy array print rho.shape ax.axis([x_scale[0], x_scale[-1], 0, y_scale[-1]]) y_scale_with_offset = np.insert(y_scale, 0, 0) ax.pcolormesh(x_scale, y_scale_with_offset, rho) ax.pcolormesh(rho) </code></pre> <p><img src="https://i.stack.imgur.com/Z8hgK.png" alt="enter image description here"></p> <p>Is there a trick to add a radial offset from 1?</p>
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