For Debian/Ubuntu: Python 2 sudo apt-get install python-imaging python-pil.imagetk Python 3 sudo apt-get install python3-pil python3-pil.imagetk For Archlinux: sudo pacman -S python-pillow It will install the package and you can use it: from PIL import ImageTk
Passing the mask parameter with a value of ‘auto’ to drawImage fixes this for me. drawImage(……., mask=’auto’) More information on the drawImage-function
Maybe what you are looking for is svgutils import svgutils.compose as sc from IPython.display import SVG # /!\ note the ‘SVG’ function also in svgutils.compose import numpy as np # drawing a random figure on top of your SVG fig, ax = plt.subplots(1, figsize=(4,4)) ax.plot(np.sin(np.linspace(0,2.*np.pi)), np.cos(np.linspace(0,2.*np.pi)), ‘k–‘, lw=2.) ax.plot(np.random.randn(20)*.3, np.random.randn(20)*.3, ‘ro’, label=”random sampling”) ax.legend() ax2 … Read more
I think the answer is wrong. The Image.fromarray( ____ , ‘L’) function seems to only work properly with an array of integers between 0 and 255. I use the np.uint8 function for this. You can see this demonstrated if you try to make a gradient. import numpy as np from PIL import Image # gradient … Read more
ANTIALIAS was removed in Pillow 10.0.0 (after being deprecated through many previous versions). Now you need to use PIL.Image.LANCZOS or PIL.Image.Resampling.LANCZOS. (This is the exact same algorithm that ANTIALIAS referred to, you just can no longer access it through the name ANTIALIAS.) Reference: Pillow 10.0.0 release notes (with table of removed constants) Simple code example: … Read more
Check if the array is writable with >>> img.flags C_CONTIGUOUS : True F_CONTIGUOUS : False OWNDATA : True WRITEABLE : False ALIGNED : True UPDATEIFCOPY : False If WRITEABLEis false, change it with img.setflags(write=1)
What worked for me was running : sudo apt-get install libopenjp2-7 Good Luck!
To check does jpg files are exactly the same use pillow library: from PIL import Image from PIL import ImageChops image_one = Image.open(path_one) image_two = Image.open(path_two) diff = ImageChops.difference(image_one, image_two) if diff.getbbox(): print(“images are different”) else: print(“images are the same”)
I guess copy.copy() does not work for the PIL Image class. Try using Image.copy() instead, since it is there for a reason: image = Image.open(path) image = image.crop((left, upper, right, lower)) for size in sizes: temp = image.copy() # <– Instead of copy.copy(image) temp.thumbnail((size, height), Image.ANTIALIAS) temp.save(‘%s%s%s.%s’ % (path, name, size, format), quality=95)
Just mask your “river” array. e.g. rivers = np.ma.masked_where(rivers == 0, rivers) As a quick example of overlaying two plots in this manner: import numpy as np import matplotlib.pyplot as plt import matplotlib.cm as cm # Generate some data… gray_data = np.arange(10000).reshape(100, 100) masked_data = np.random.random((100,100)) masked_data = np.ma.masked_where(masked_data < 0.9, masked_data) # Overlay the … Read more