# plt.subplots_adjust(left=0, bottom=0, right=1, top=1, wspace=0.3, hspace=0. Colorbars indicate the quantitative extent of image data. 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. import matplotlib.pyplot as pltįrom mpl_toolkits.axes_grid1 import make_axes_locatableĬbar=plt.colorbar(mappable=plotted,cax=cax)Ĭax1 = make_axes_locatable(axarr).append_axes("right", size="10%", pad=0.05)Ĭax2 = make_axes_locatable(axarr).append_axes("right", size="10%", pad=0.05)Ĭax3 = make_axes_locatable(axarr).append_axes("right", size="10%", pad=0.05)Ĭax4 = make_axes_locatable(axarr).append_axes("right", size="10%", pad=0.05) 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. The advantage compared to mdurant's answer is that it saves defining the axes location manually. Multiple imshow-subplots, each with colorbar I had a very similar problem, which I finally managed to solve by defining a colorbar axes in a similar fashion to:
#Pyplot subplot colorbar code#
Has anyone come across this problem before and managed to fix it? Hopefully this is enoughįor an idea of the problem, I can post more code if needed but thought it'd be less of a clutter if I just give an overview example. I've tried various things to remove it BUT it keeps adding whitespace instead I end up with +1 colorbar on my plot at every iteration. Here I need something to remove the colorbar otherwise (fig, fig.axes) #deletes but whitespace remains Plt.savefig(os.path.expanduser(os.path.join('~/', str(i))))
New figure to save each time or something, I'd have to doĬbar = plt.colorbar(ax=ax, orientation = 'horizontal')
They hinge on the presence of fig so I can't make I want to avoid having to do them in the loop over and over again. Note: Colorbars are typically created through lorbar or its pyplot wrapper lorbar, which uses makeaxes and Colorbar internally. In Matplotlib they are drawn into a dedicated axis. The code below may explain: triang Triangulation (x,y) plt.tricontourf (triang, z, vmax1., vmin0.) plt.colorbar () The colorbar is still fixed to the limits of the data z, although the cmap range is now fixed. Z = _normal(X,Y,1,1,0,0)ĭo some figure-related stuff that take up a lot of time, Colorbars are a visualization of the mapping from scalar values to colors. Setting a range for an image cmap is easy but this does not apply the same range to the minimum and maximum values of the colorbar. Sorry for the code before, typed it up in frantic desperation at the very end of the workday :). plt.hist2d returns this as the forth element of the returned tuple. Also, realized that the colorbar creation is in the actual loop as otherwise there's nothing to map it to. A colorbar needs a ScalarMappable object as its first argument. UPDATE: I've redone this with some actual mock-up code that reflects my general problem. My code is something (roughly) like this:
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