Python PIL | getbands() and getextrema() method

Python PIL library contains Image module in which variety of functions are defined. PIL.Image.Image.getbands()
This method is used to get the mode (bands) present in an image.

Syntax: PIL.Image.Image.getbands(image_object [valid image path])
Parameters:
It takes a parameter image_object i.e it the reference of the image which is opened using open() method or image path can also be mentioned.
Return value: Returns a tuple containing the name of each band in this image. For example, getbands on an RGB image returns (“R”, “G”, “B”).

Python3

# Importing Image module from PIL package
from PIL import Image

# Opening a multiband image
im = Image.open(r"C:\Users\Admin\Pictures\images.png")

# This returns the bands used in im (image)
im1 = Image.Image.getbands(im)

print("Multiband image", im1)

# Opening a single band image
im2 = Image.open(r"C:\Users\Admin\Pictures\singleband.png")

# This returns the band used in im2
im3 = Image.Image.getbands(im2)

print("Single band image", im3)

Output:

Multiband image ('R', 'G', 'B')
Single band image ('P', )

PIL.Image.Image.getextrema() method –

Gets the minimum and maximum pixel values for each band in the image.

Syntax: PIL.Image.Image.getextrema(image_object [valid image path])
Parameters:
It takes a parameter image_object i.e it the reference of the image which is opened using open() method or image path can also be mentioned.
Return Value: For a single-band image, a 2-tuple containing the minimum and maximum pixel value. For a multi-band image, a tuple containing one 2-tuple for each band.

Python3

# importing Image module from PIL package
from  PIL import Image

# opening a multiband image
im = Image.open(r"C:\Users\Admin\Pictures\download.png")

# getting maximum and minimum pixels of
# multiband images (RBG)
im1 = Image.Image.getextrema(im)

print("Multi band image ", im1)

# Opening a single band image
im2 = Image.open(r"C:\Users\Admin\Pictures\singleband.png")

# getting maximum and minimum pixels of
# single band image
im3 = Image.Image.getextrema(im2)

print("Single band image ", im3)

Output:

Multi band image  ((73, 255), (0, 255), (0, 255))
Single band image  (0, 123)

These images used in above article –
Multiband Images

Single band Image