Placing in a figure is non-trivial because room needs to be made for them. In my opinion, the latter way is prefered. Colorbars indicate the quantitative extent of image data. Simplify the plotting of multiple plot with just one colorbar, significantly. Using the normal way is more flexible but also annoying because you have toĪdjust the paramters by trial and error. You can see that the padding between subplots are all the same, also theĬolorbar have the same height as the main plot. random (( 16, 16 )), vmin = 0, vmax = 1 ) # when cbar_mode is 'single', for ax in grid, ax.cax = grid.cbar_axes cbar = ax. Position the colorbar correctly once the white space has been removed. As such, what I'm trying to do is the following: Remove white space above and below the subplots. figure ( figsize = ( 6, 4 )) grid = AxesGrid ( fig, 111, nrows_ncols = ( 2, 3 ), axes_pad = 0.05, cbar_mode = 'single', cbar_location = 'right', cbar_pad = 0.1 ) for ax in grid : ax. I've tried a few methods to solve this issue, but they usually end up removing the white space at the cost of messing up the position of the shared colorbar. Import matplotlib.pyplot as plt from mpl_toolkits.axes_grid1 import AxesGrid import numpy as np fig = plt. In matplotlib, colorbars are added to the edges of subplots using the figure method (e.g., fig.colorbar(m, axax. Working example showing how to use axesgrid: Using the axesgrid approachĭeal with padding and colorbar issues arising from plotting multiple subplots.īy using axesgrid, the padding between subplots are guaranted to be the same.Īlso the colorbar have exactly the same height as the main plot. ![]() Same for the above two plots even after tweaking. In fact, the padding in horizontal and vertical direction is not the You have to adjust the figure aspect ratio andĪlso the padding params to make the padding between the subplots appear the See theīoth the two methods have an disadvantage that it is difficult to control the I can format the imshow-images to proper plots itself, because every single one of them needs its own colorbar, a modified axis and the other axis removed. Two of them are usual line-plots, two of them imshow-images. I want to have a figure consisting of, let's say, four subplots. Method to make the main plot and the colorbar appear the same height. Multiple imshow-subplots, each with colorbar. ![]() ![]() The usual approach is without cax, but using. These arbitrary numbers ( x, y, width, height with 0,0 at the lower left of the figure, and 1,1 at the top right) seem to work well in your second example, but not in the first. In this way, you have to manually tweak the shrink param of fig.colorbar You explicitly calculate a new position for the colorbar using plt.colorbar (caxplt.axes ( 0.9, 0.11, 0.02, 0.77)). random (( 16, 16 )), cmap = 'viridis', vmin = 0, vmax = 1 ) # notice that here we use ax param of lorbar method instead of # the cax param as the above example cbar = fig. subplots ( nrows = 2, ncols = 3, figsize = ( 8.5, 5 )) for ax in axes. Import matplotlib.pyplot as plt import numpy as np fig, axes = plt.
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