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POPython Hexbin marginals offset from image produced
 

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  1. POPython Hexbin marginals offset from image produced
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    <p>I have a hopefully simple question. When using the python hexbin plot option on some spatial data (Ra, and Dec are x and y) I also want to see the marginals on the side. Happily there is a simple option 'marginals = True'....</p> <p>Unhappily, as you can see below... the x-axis marginals are visibly offset from the hexagon produced image. I have tried adjusting parameters but the marginals on the x-axis always appear offset to the image (and there never seems to be a problem in y), any ideas would be appreciated. Please see the code and image below, Thanks in advance! </p> <pre><code>fig5=plt.figure(5) ax=fig5.add_subplot(111) imageh=plt.hexbin(Radeg[CoreL], Decdeg[CoreL], extent=[np.min(Radeg[CoreL]), np.max(Radeg[CoreL]), np.min(Decdeg[CoreL]), np.max(Decdeg[CoreL])], alpha=0.7, gridsize=20, marginals=True, vmin=5, vmax=105, cmap=get_cmap("jet"), mincnt=5) ax.axis([305,275,-40,-25]) cbar=plt.colorbar(imageh,extend='max') cbar.set_label(r'$\mathrm{Counts}$',fontsize=18) ax.set_xlabel(r'$\mathrm{RA}$',fontsize=20) ax.set_ylabel(r'$\mathrm{DEC}$',fontsize=18) plt.show() </code></pre> <p><img src="https://i.stack.imgur.com/zHBnw.png" alt="The counts image produced by hexbin"></p> <p>-- per request that I add data to test with..... my data is rather lengthy and unwieldily, but here is a standalone version that illustrates the problem. This is a altered version from 'Hooked' who posted in regard to a different hexbin question.</p> <pre><code>def generate_data(n): """Make random, correlated x &amp; y arrays""" points = np.random.multivariate_normal(mean=(0,0), cov=[[0.4,9],[9,10]],size=int(n)) return points if __name__ =='__main__': color_map = plt.cm.Spectral_r n = 1e4 points = generate_data(n) xbnds = np.array([-20.0,20.0]) ybnds = np.array([-20.0,20.0]) extent = [xbnds[0],xbnds[1],ybnds[0],ybnds[1]] fig=plt.figure(figsize=(10,9)) ax = fig.add_subplot(111) x, y = points.T image = plt.hexbin(x,y,cmap=color_map,gridsize=20,marginals=True,extent=extent,mincnt=1,bins='log') ax.set_xlim(xbnds) ax.set_ylim(ybnds) plt.grid(True) cb = plt.colorbar(image,spacing='uniform',extend='max') plt.show() </code></pre> <p>This code gives a similar image, but this time the marginals are offset in the x and y direction, the integral should be just in one direction, over the other variable, i.e. rows and columns. In theory I would expect a marginal on the side for every row and column I have data in. </p> <p><img src="https://i.stack.imgur.com/90FY1.png" alt="marginals from new code image"></p>
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    1. COCan you put up data we can test with?
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    2. COSee above for a data version, my suspicion is that somehow the marginals are setting different bins or bin centers than the hexograms themselves but I have not been able to confirm this as yet.
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