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    <p>Basically, figure.colorbar() is good for both images, as long as their are not with too different scales. So you could let matplotlib do it for you... or you manually position your colorbar on axes inside the images. Here is how to control the location of the colorbar:</p> <pre><code>import numpy as np from matplotlib import pyplot as plt A = np.random.random_integers(0, 10, 100).reshape(10, 10) B = np.random.random_integers(0, 10, 100).reshape(10, 10) fig = plt.figure() ax1 = fig.add_subplot(221) ax2 = fig.add_subplot(222) mapable = ax1.imshow(A, interpolation="nearest") cax = ax2.imshow(A, interpolation="nearest") # set the tickmarks *if* you want cutom (ie, arbitrary) tick labels: cbar = fig.colorbar(cax, ax=None) fig = plt.figure(2) ax1 = fig.add_subplot(121) ax2 = fig.add_subplot(122) mapable = ax1.imshow(A, interpolation="nearest") cax = ax2.imshow(A, interpolation="nearest") # on the figure total in precent l b w , height ax3 = fig.add_axes([0.1, 0.1, 0.8, 0.05]) # setup colorbar axes. # put the colorbar on new axes cbar = fig.colorbar(mapable,cax=ax3,orientation='horizontal') plt.show() </code></pre> <p>Note ofcourse you can position ax3 as you wish, on the side, on the top, where ever, as long as it is in the boundaries of the figure. </p> <p>I don't know why your line2D is not appearing. </p> <p>I added to my code before plt.show() the following and everything is showing:</p> <pre><code>from mpl_toolkits.axes_grid1 import anchored_artists from matplotlib.patheffects import withStroke txt = anchored_artists.AnchoredText("SC", loc=2, frameon=False, prop=dict(size=12)) if withStroke: txt.txt._text.set_path_effects([withStroke(foreground="w", linewidth=3)]) ax1.add_artist(txt) ## Draw a line to separate the two different wave lengths, and name each region l1 = plt.Line2D([-1,10],[5,5],ls='-',color='black',lineswidth=10) ax1.add_line(l1) </code></pre> <p><img src="https://i.stack.imgur.com/x4IhX.png" alt="Color bar on axes"> <img src="https://i.stack.imgur.com/TGw3T.png" alt="WithLine"></p>
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    1. POHow to add a single colobar that will show the data from 2 different subplot
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    1. USOz123
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    1. POHow to add a single colobar that will show the data from 2 different subplot
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    1. COThe colorbar method realyl worked out.. Just had to use a subplot_adjust since i was using axis('tight') and i wanted the colobar to be on the right side..... About the Line2D, i tried basically everything and it just won't show ;/... Any other methods on showing lines?? Anyways, thanks alot..
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      1. USRodrigo Forti
    2. COFigured out a way of showing up the lines.. It had something to do with how i called the axes.... All i had to do is change the lines where i add the axes to :{ for (i), ax in np.ndenumerate(axes): l1 = plt.Line2D([0,ii],[28,28],ls='-',color='black') ax.add_line(l1)}
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