Now the width of the colorbar (as well as the space between colorbar and plot) changes with the width of the plot.
#Pyplot subplot colorbar code#
Code fig, ax = plt.subplots(2,1,figsize=(12,8))Ĭax = fig.add_axes(.get_position().x1-0.25,ax.get_position().y0,0.02,ax.get_position().y1-ax.get_position().y0])įig.colorbar(im1, already gave the answer suggested by the matplotlib docs, which produces the right height, but it introduces a different problem. Im2 = ax.imshow(np.arange(-100,0).reshape((10,10)), vmin = -100, vmax =100)Īgain, you can also achieve similar effects by specifying cax, a more accurate way from my perspective.
Code fig, ax = plt.subplots(2,1,figsize=(12,8)) # Caution, figsize will also influence positions. Therefore, it is useful for multiple subplots, see following. Later on, I find official documentation also gives ax option, which are existing axes that will provide room for the colorbar. Plt.colorbar(im, cax=cax) # Similar to fig.colorbar(im, cax = cax) # This practice is universal for both subplots and GeoAxes.Ĭax = fig.add_axes() # You can change 0.02 to adjust the width of the colorbar. # You can change 0.01 to adjust the distance between the main image and the colorbar. The position of the axes is calculated based on the position of ax.
I believe that giving the colorbar its own axes might be a better solution to address all the issues that have been mentioned. However, like some answers and comments pointed out, the axes_grid1 module cannot address GeoAxes, whereas adjusting fraction, pad, shrink, and other similar parameters cannot necessarily give the very precise order, which really bothers me. import matplotlib.pyplot as pltįig, (ax, cax) = plt.subplots(nrows=2,figsize=(4,4),įig.I appreciate all the answers above. Then, setting the height_ratios as gridspec_kw= in the figure creation, makes one of the subplots much smaller in height than the other and this small subplot can host the colorbar.
One can directly create two rows of subplots, one for the image and one for the colorbar. import matplotlib.pyplot as pltįrom mpl_toolkits.axes_grid1 import make_axes_locatableĬax = divider.new_vertical(size="5%", pad=0.7, pack_start=True)įig.colorbar(im, cax=cax, orientation="horizontal") Again, the pad argument would allow to set the space between the two axes. One can use an instance of make_axes_locatable to divide the axes and create a new axes which is perfectly aligned to the image plot. import matplotlib.pyplot as pltįig.colorbar(im, orientation="horizontal", pad=0.2) In order to move the colorbar relative to the subplot, one may use the pad argument to fig.colorbar.
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