I would like to make my colorbar more visible by adding a white background. I need the colorbar inside the image, which makes it hard to read at times.
Here is the code without the white background.
import matplotlib.pyplot as plt
import numpy as np
a=np.random.rand(10,10)
fig=plt.figure()
ax=fig.add_axes([0,0,1,1]) #fill the entire axis
im=ax.imshow(a)
cbaxes=fig.add_axes([0.8,0.1,0.03,0.8]) #add axis for colorbar, define size
cb=fig.colorbar(im,cax=cbaxes) #make colorbar
#cb.outline.set_color('white') #this does not work
fig.show()
Here is a solution for creating the background:
import matplotlib.pyplot as plt
import numpy as np
from mpl_toolkits.axes_grid1.inset_locator import inset_axes
a=np.random.rand(10,10)
fig=plt.figure()
ax=fig.add_axes([0,0,1,1])
im=ax.imshow(a)
cbbox = inset_axes(ax, '15%', '90%', loc = 7)
[cbbox.spines[k].set_visible(False) for k in cbbox.spines]
cbbox.tick_params(axis='both', left='off', top='off', right='off', bottom='off', labelleft='off', labeltop='off', labelright='off', labelbottom='off')
cbbox.set_facecolor([1,1,1,0.7])
cbaxes = inset_axes(cbbox, '30%', '95%', loc = 6)
cb=fig.colorbar(im,cax=cbaxes) #make colorbar
fig.show()
The colorbar
is a patch
so you will want to set the edge color to be white. The reason that set_color
didn't work is because it sets both the face and edge color to white.
cb.outline.set_edgecolor('white')
cb.outline.set_linewidth(2)
If you want the labels to also be white, you will want to set the tick parameters for those.
cbaxes.tick_params(axis='both', colors='white')
Note that since @Hagne posted their answer the API has changed for turning off tick markers.
You now need to pass False
, rather than off
. This caught me out for a while as the API didn't complain - just didn't work
cbbox.tick_params(
axis = 'both',
left = False,
top = False,
right = False,
bottom = False,
labelleft = False,
labeltop = False,
labelright = False,
labelbottom = False
)
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