I cannot seem to get savefig()
to actually save a PNG file without a transparent figure background.
This is having read and tried all the suggestions previously posted, answered, cursed about and also going through the API docs a bunch of times. I've read it all, but still can't get non-transparent figure faces
I'm using matplotlib and savefig to create a PNG file. (env: macos - latest anaconda modules using PY 3.7).
I am trying this out of jupyter however - so hopefully it's not something completely screwed up with only how ipython in jupyter does it - though I don't see how that could be the case
I did read through the previous many posts about the (confusing as hell) nature of savefig doing it's own thing with backgrounds, and did/tried everything as suggested (and as written in the latest savefig api docs).
In particular, I've tried all the following without sucess:
When savefig'ing my figure background is always transparent.
Can anyone tell me what the !@#$!# I'm missing here???
Here's what I''m using, which spits out figure with transparent background, regardless of what I do.
In particular the 2nd call below (with savefig(..., transparent=False)
) will make the axes not transparent - but the figure itself is still transparent!)
import numpy as np
import matplotlib as mpl
import matplotlib.style as style
a = np.array([-3.2, 0.1, 1.5, 3.3, 8.5])
b = np.array([1.1, 1.8, 1.95, 2.3, 4.3])
labels = ['a', 'bc', 'def', 'g', 'ggghhh']
stylefile = './util/plot_config/aqs_default.mplstyle'
# the file above does contain an entry of:
# savefig.facecolor: white
#
to_res = 1024
dpi = 100
inches = (to_res/dpi, to_res/dpi)
style.use(stylefile)
%matplotlib
fig = mpl.figure.Figure(figsize=inches, dpi=dpi, facecolor='white')
ax = fig.subplots()
for x, y, l in zip(a,b,labels):
ax.scatter(x,y,label=l)
ax.legend()
ax.set_xlabel('Some x')
ax.set_ylabel('Attenuation $\mu$ (cm$^{-1}$)')
ax.set_title('blah', y=1.03)
fig.suptitle('Linearity $\mu$')
# for me, _both_ calls below result in the figure having a transparent background:
fig.savefig('a.png', facecolor=fig.get_facecolor(), transparent=True)
fig.savefig('b.png', facecolor=fig.get_facecolor(), transparent=False)
If you just want the entire background for both the figure and the axes to be transparent, you can simply specify transparent=True when saving the figure with fig. savefig . If you want more fine-grained control, you can simply set the facecolor and/or alpha values for the figure and axes background patch.
MatPlotLib with Python To change the axes background color, we can use set_facecolor() method.
Note that the default argument for savefig() is transparent=False. By specifying transparent=True we can save a Matplotlib figure with a transparent background.
Unfortunately, it seems that frameon
is not supported anymore as of matplotlib 3.3.
I solved the transparency issue by setting facecolor='white', transparent=False
options in savefig()
FYI for anyone else with a similiar problem.
The cause (and fix) turned out to be because I was creating a figure with frameon
set to False
.
I had actually had this set to False in a style file I was using.
Changing frameon
to True fixed the problem.
This was confusing and not very obvious at all from any documentation - here is some background on the issue from the MPL github issues: https://github.com/matplotlib/matplotlib/issues/14339
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