CODEWITHSUNDEEP
pythonmatplotlibtransparency
ClimateUnboxed
ClimateUnboxed

Reputation: 8057

make matplotlib png plot semi-transparent with non integer alpha value

I know that I can produce a png plot with a transparent background in the following way (which works for me):

import matplotlib.pyplot as plt
plt.plot ([1,2,3],[2,1,3])
plt.savefig("test.png",transparent=True)

But how can I make the background semi-transparent, with an fractional alpha number? I read on a separate blog that one could do it like this:

fig,ax=plt.subplots()
ax.plot ([1,2,3],[2,1,3]) 
ax.patch.set_facecolor('white')
ax.patch.set_alpha(0.5)
plt.savefig('test.png', facecolor=fig.get_facecolor(), edgecolor='none')

But that didn't work for me and produces a plot without transparency and gave me this non transparent png (confirmed in ppt).

example output

In response to the comments,

plt.get_backend()

gives me 'MacOSX' and I am on

Python 3.9.4 (default, Apr 5 2021, 01:49:30) [Clang 12.0.0 (clang-1200.0.32.29)] on darwin

Upvotes: 0

Views: 999

Answers (1)

manaclan
manaclan

Reputation: 994

Your code behaved correctly and nothing is wrong. I tried it on colab and here is the results (notice the ax.patch.set_alpha() value):

import matplotlib.pyplot as plt
import numpy as np

fig,ax=plt.subplots()
ax.plot ([1,2,3],[2,1,3]) 
ax.patch.set_facecolor('white')
ax.patch.set_alpha(1)
plt.savefig('test.png', facecolor=fig.get_facecolor(), edgecolor='none')

enter image description here

import matplotlib.pyplot as plt
import numpy as np

fig,ax=plt.subplots()
ax.plot ([1,2,3],[2,1,3]) 
ax.patch.set_facecolor('white')
ax.patch.set_alpha(0)
plt.savefig('test.png', facecolor=fig.get_facecolor(), edgecolor='none')

enter image description here
Updated: After saving the plot, you can load it with opencv then change its transparency like this:

"""
pip install opencv-python
"""
import cv2

im = cv2.imread('test.png',cv2.IMREAD_UNCHANGED)
im[:,:,3] = im[:,:,3]/2
cv2.imwrite('adjust.png',im)

Update 2: I think I found what you want:

import matplotlib.pyplot as plt
import numpy as np
import cv2

fig,ax=plt.subplots()
ax.plot ([1,2,3],[2,1,3]) 
ax.patch.set_facecolor('white')
plt.savefig('original.png', edgecolor='none')
plt.savefig('transparent.png', edgecolor='none',transparent=True)
#Then
im = cv2.imread('original.png',cv2.IMREAD_UNCHANGED)
im[:,:,3] = im[:,:,3]/2 + 120
cv2.imwrite('semi_transparent.png',im)

Here is the results I got (tested on MS word):
enter image description here

Upvotes: 1

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